wrangle_act.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 0,
        "height": 4,
        "hidden": false,
        "row": 0,
        "width": 4
       },
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "source": [
    "# Project: Wrangling and Analyze Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Gathering\n",
    "In the cell below, gather **all** three pieces of data for this project and load them in the notebook. **Note:** the methods required to gather each data are different.\n",
    "1. Directly download the WeRateDogs Twitter archive data (twitter_archive_enhanced.csv)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Importing the  Libraries required for **Data Gathering**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "hidden": true
       },
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "outputs": [],
   "source": [
    "# Required Libraries for Data Gathering\n",
    "import pandas as pd \n",
    "import numpy as np \n",
    "import requests \n",
    "import tweepy\n",
    "import json\n",
    "from timeit import default_timer as timer\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**pandas and numpy:** Load ,clean and explore data<br><br>\n",
    "**requests:** Download file(tsv format) from the given URL <br><br>\n",
    "**tweepy:** To query Twitter API for Additional Data(retweets and Likes Count in the very least)<br><br>\n",
    "**json:** Load Parse json Data from Twitter APi  into a list that will be converted to a Dataframe<br><br>\n",
    "**timeit:** To measure the total execution time taken to query Twitter's API(About 30mins)<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The \"twitter_archive-enhanced.csv\" file was downloaded from this provided\n",
    "<a href=\"https://d17h27t6h515a5.cloudfront.net/topher/2017/August/59a4e958_twitter-archive-enhanced/twitter-archive-enhanced.csv\"> link</a> and uploaded to the project workspace enviromnment "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# loading the twitter_archived_enhannced.csv with pandas \n",
    "twitter_archive=pd.read_csv('twitter-archive-enhanced.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. Use the Requests library to download the tweet image prediction (image_predictions.tsv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [200]>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url=\"https://d17h27t6h515a5.cloudfront.net/topher/2017/August/599fd2ad_image-predictions/image-predictions.tsv\"\n",
    "req=requests.get(url)\n",
    "req"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "url_content = req.content\n",
    "csv_file = open('tsv-img.csv', 'wb')\n",
    "\n",
    "csv_file.write(url_content)\n",
    "csv_file.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>tweet_id</th>\n",
       "      <th>jpg_url</th>\n",
       "      <th>img_num</th>\n",
       "      <th>p1</th>\n",
       "      <th>p1_conf</th>\n",
       "      <th>p1_dog</th>\n",
       "      <th>p2</th>\n",
       "      <th>p2_conf</th>\n",
       "      <th>p2_dog</th>\n",
       "      <th>p3</th>\n",
       "      <th>p3_conf</th>\n",
       "      <th>p3_dog</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>666020888022790149</td>\n",
       "      <td>https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Welsh_springer_spaniel</td>\n",
       "      <td>0.465074</td>\n",
       "      <td>True</td>\n",
       "      <td>collie</td>\n",
       "      <td>0.156665</td>\n",
       "      <td>True</td>\n",
       "      <td>Shetland_sheepdog</td>\n",
       "      <td>0.061428</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>666029285002620928</td>\n",
       "      <td>https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>redbone</td>\n",
       "      <td>0.506826</td>\n",
       "      <td>True</td>\n",
       "      <td>miniature_pinscher</td>\n",
       "      <td>0.074192</td>\n",
       "      <td>True</td>\n",
       "      <td>Rhodesian_ridgeback</td>\n",
       "      <td>0.072010</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>666033412701032449</td>\n",
       "      <td>https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>German_shepherd</td>\n",
       "      <td>0.596461</td>\n",
       "      <td>True</td>\n",
       "      <td>malinois</td>\n",
       "      <td>0.138584</td>\n",
       "      <td>True</td>\n",
       "      <td>bloodhound</td>\n",
       "      <td>0.116197</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>666044226329800704</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Rhodesian_ridgeback</td>\n",
       "      <td>0.408143</td>\n",
       "      <td>True</td>\n",
       "      <td>redbone</td>\n",
       "      <td>0.360687</td>\n",
       "      <td>True</td>\n",
       "      <td>miniature_pinscher</td>\n",
       "      <td>0.222752</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>666049248165822465</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>miniature_pinscher</td>\n",
       "      <td>0.560311</td>\n",
       "      <td>True</td>\n",
       "      <td>Rottweiler</td>\n",
       "      <td>0.243682</td>\n",
       "      <td>True</td>\n",
       "      <td>Doberman</td>\n",
       "      <td>0.154629</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>666050758794694657</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Jof1WUAEuVxN.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Bernese_mountain_dog</td>\n",
       "      <td>0.651137</td>\n",
       "      <td>True</td>\n",
       "      <td>English_springer</td>\n",
       "      <td>0.263788</td>\n",
       "      <td>True</td>\n",
       "      <td>Greater_Swiss_Mountain_dog</td>\n",
       "      <td>0.016199</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>666051853826850816</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5KoJ1WoAAJash.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>box_turtle</td>\n",
       "      <td>0.933012</td>\n",
       "      <td>False</td>\n",
       "      <td>mud_turtle</td>\n",
       "      <td>0.045885</td>\n",
       "      <td>False</td>\n",
       "      <td>terrapin</td>\n",
       "      <td>0.017885</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>666055525042405380</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5N9tpXIAAifs1.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>chow</td>\n",
       "      <td>0.692517</td>\n",
       "      <td>True</td>\n",
       "      <td>Tibetan_mastiff</td>\n",
       "      <td>0.058279</td>\n",
       "      <td>True</td>\n",
       "      <td>fur_coat</td>\n",
       "      <td>0.054449</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>666057090499244032</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5PY90WoAAQGLo.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>shopping_cart</td>\n",
       "      <td>0.962465</td>\n",
       "      <td>False</td>\n",
       "      <td>shopping_basket</td>\n",
       "      <td>0.014594</td>\n",
       "      <td>False</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.007959</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>666058600524156928</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Qw94XAAA_2dP.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>miniature_poodle</td>\n",
       "      <td>0.201493</td>\n",
       "      <td>True</td>\n",
       "      <td>komondor</td>\n",
       "      <td>0.192305</td>\n",
       "      <td>True</td>\n",
       "      <td>soft-coated_wheaten_terrier</td>\n",
       "      <td>0.082086</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             tweet_id                                          jpg_url  \\\n",
       "0  666020888022790149  https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg   \n",
       "1  666029285002620928  https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg   \n",
       "2  666033412701032449  https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg   \n",
       "3  666044226329800704  https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg   \n",
       "4  666049248165822465  https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg   \n",
       "5  666050758794694657  https://pbs.twimg.com/media/CT5Jof1WUAEuVxN.jpg   \n",
       "6  666051853826850816  https://pbs.twimg.com/media/CT5KoJ1WoAAJash.jpg   \n",
       "7  666055525042405380  https://pbs.twimg.com/media/CT5N9tpXIAAifs1.jpg   \n",
       "8  666057090499244032  https://pbs.twimg.com/media/CT5PY90WoAAQGLo.jpg   \n",
       "9  666058600524156928  https://pbs.twimg.com/media/CT5Qw94XAAA_2dP.jpg   \n",
       "\n",
       "   img_num                      p1   p1_conf  p1_dog                  p2  \\\n",
       "0        1  Welsh_springer_spaniel  0.465074    True              collie   \n",
       "1        1                 redbone  0.506826    True  miniature_pinscher   \n",
       "2        1         German_shepherd  0.596461    True            malinois   \n",
       "3        1     Rhodesian_ridgeback  0.408143    True             redbone   \n",
       "4        1      miniature_pinscher  0.560311    True          Rottweiler   \n",
       "5        1    Bernese_mountain_dog  0.651137    True    English_springer   \n",
       "6        1              box_turtle  0.933012   False          mud_turtle   \n",
       "7        1                    chow  0.692517    True     Tibetan_mastiff   \n",
       "8        1           shopping_cart  0.962465   False     shopping_basket   \n",
       "9        1        miniature_poodle  0.201493    True            komondor   \n",
       "\n",
       "    p2_conf  p2_dog                           p3   p3_conf  p3_dog  \n",
       "0  0.156665    True            Shetland_sheepdog  0.061428    True  \n",
       "1  0.074192    True          Rhodesian_ridgeback  0.072010    True  \n",
       "2  0.138584    True                   bloodhound  0.116197    True  \n",
       "3  0.360687    True           miniature_pinscher  0.222752    True  \n",
       "4  0.243682    True                     Doberman  0.154629    True  \n",
       "5  0.263788    True   Greater_Swiss_Mountain_dog  0.016199    True  \n",
       "6  0.045885   False                     terrapin  0.017885   False  \n",
       "7  0.058279    True                     fur_coat  0.054449   False  \n",
       "8  0.014594   False             golden_retriever  0.007959    True  \n",
       "9  0.192305    True  soft-coated_wheaten_terrier  0.082086    True  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_tsv=pd.read_csv('tsv-img.csv',delimiter='\\t')\n",
    "image_tsv.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. Use the Tweepy library to query additional data via the Twitter API (tweet_json.txt)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**creating an API object  to gather Twitter data.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import config_file\n",
    "consumer_key = config_file.api_key\n",
    "consumer_secret = config_file.api_key_secret\n",
    "access_token = config_file.access_token\n",
    "access_secret = config_file.access_token_secret\n",
    "\n",
    "auth = tweepy.OAuthHandler(consumer_key, consumer_secret)\n",
    "auth.set_access_token(access_token, access_secret)\n",
    "\n",
    "api = tweepy.API(auth_handler=auth, wait_on_rate_limit=True, wait_on_rate_limit_notify=True)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Querying Twitter's API for JSON data related to each tweet ID\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Success 892420643555336193\n",
      "Success 892177421306343426\n",
      "Success 891815181378084864\n",
      "Success 891689557279858688\n",
      "Success 891327558926688256\n",
      "Success 891087950875897856\n",
      "Success 890971913173991426\n",
      "Success 890729181411237888\n",
      "Success 890609185150312448\n",
      "Success 890240255349198849\n",
      "Success 890006608113172480\n",
      "Success 889880896479866881\n",
      "Success 889665388333682689\n",
      "Success 889638837579907072\n",
      "Success 889531135344209921\n",
      "Success 889278841981685760\n",
      "Success 888917238123831296\n",
      "Success 888804989199671297\n",
      "Success 888554962724278272\n",
      "Success 888078434458587136\n",
      "Success 887705289381826560\n",
      "Success 887517139158093824\n",
      "Success 887473957103951883\n",
      "Success 887343217045368832\n",
      "Success 887101392804085760\n",
      "Success 886983233522544640\n",
      "Success 886736880519319552\n",
      "Success 886680336477933568\n",
      "Success 886366144734445568\n",
      "Success 886267009285017600\n",
      "Success 886258384151887873\n",
      "Success 886054160059072513\n",
      "Success 885984800019947520\n",
      "Success 885528943205470208\n",
      "Success 885518971528720385\n",
      "Success 885311592912609280\n",
      "Success 885167619883638784\n",
      "Success 884925521741709313\n",
      "Success 884876753390489601\n",
      "Success 884562892145688576\n",
      "Success 884441805382717440\n",
      "Success 884247878851493888\n",
      "Success 884162670584377345\n",
      "Success 883838122936631299\n",
      "Success 883482846933004288\n",
      "Success 883360690899218434\n",
      "Success 883117836046086144\n",
      "Success 882992080364220416\n",
      "Success 882762694511734784\n",
      "Success 882627270321602560\n",
      "Success 882268110199369728\n",
      "Success 882045870035918850\n",
      "Success 881906580714921986\n",
      "Success 881666595344535552\n",
      "Success 881633300179243008\n",
      "Success 881536004380872706\n",
      "Success 881268444196462592\n",
      "Success 880935762899988482\n",
      "Success 880872448815771648\n",
      "Success 880465832366813184\n",
      "Success 880221127280381952\n",
      "Success 880095782870896641\n",
      "Success 879862464715927552\n",
      "Success 879674319642796034\n",
      "Success 879492040517615616\n",
      "Success 879415818425184262\n",
      "Success 879376492567855104\n",
      "Success 879130579576475649\n",
      "Success 879050749262655488\n",
      "Success 879008229531029506\n",
      "Success 878776093423087618\n",
      "Success 878604707211726852\n",
      "Success 878404777348136964\n",
      "Success 878316110768087041\n",
      "Success 878281511006478336\n",
      "Success 878057613040115712\n",
      "Success 877736472329191424\n",
      "Success 877611172832227328\n",
      "Success 877556246731214848\n",
      "Success 877316821321428993\n",
      "Success 877201837425926144\n",
      "Success 876838120628539392\n",
      "Success 876537666061221889\n",
      "Success 876484053909872640\n",
      "Success 876120275196170240\n",
      "Success 875747767867523072\n",
      "Success 875144289856114688\n",
      "Success 875097192612077568\n",
      "Success 875021211251597312\n",
      "Success 874680097055178752\n",
      "Success 874434818259525634\n",
      "Success 874296783580663808\n",
      "Success 874057562936811520\n",
      "Success 874012996292530176\n",
      "Success 873580283840344065\n",
      "Success 873337748698140672\n",
      "Success 873213775632977920\n",
      "Success 872967104147763200\n",
      "Success 872820683541237760\n",
      "Success 872620804844003328\n",
      "Success 872486979161796608\n",
      "Success 872122724285648897\n",
      "Success 871879754684805121\n",
      "Success 871762521631449091\n",
      "Success 871515927908634625\n",
      "Success 871166179821445120\n",
      "Success 871102520638267392\n",
      "Success 871032628920680449\n",
      "Success 870804317367881728\n",
      "Success 870726314365509632\n",
      "Success 870656317836468226\n",
      "Success 870374049280663552\n",
      "Success 870308999962521604\n",
      "Success 870063196459192321\n",
      "Success 869772420881756160\n",
      "Success 869702957897576449\n",
      "Success 869596645499047938\n",
      "Success 869227993411051520\n",
      "Success 868880397819494401\n",
      "Success 868639477480148993\n",
      "Success 868622495443632128\n",
      "Success 868552278524837888\n",
      "Success 867900495410671616\n",
      "Success 867774946302451713\n",
      "Success 867421006826221569\n",
      "Success 867072653475098625\n",
      "Success 867051520902168576\n",
      "Success 866720684873056260\n",
      "Success 866686824827068416\n",
      "Success 866450705531457537\n",
      "Success 866334964761202691\n",
      "Success 866094527597207552\n",
      "Success 865718153858494464\n",
      "Success 865359393868664832\n",
      "Success 865006731092295680\n",
      "Success 864873206498414592\n",
      "Success 864279568663928832\n",
      "Success 864197398364647424\n",
      "Success 863907417377173506\n",
      "Success 863553081350529029\n",
      "Success 863471782782697472\n",
      "Success 863432100342583297\n",
      "Success 863427515083354112\n",
      "Success 863079547188785154\n",
      "Success 863062471531167744\n",
      "Success 862831371563274240\n",
      "Success 862722525377298433\n",
      "Success 862457590147678208\n",
      "Success 862096992088072192\n",
      "Success 861383897657036800\n",
      "Success 861288531465048066\n",
      "Success 861005113778896900\n",
      "Success 860981674716409858\n",
      "Success 860924035999428608\n",
      "Success 860563773140209665\n",
      "Success 860524505164394496\n",
      "Success 860276583193509888\n",
      "Success 860184849394610176\n",
      "Success 860177593139703809\n",
      "Success 859924526012018688\n",
      "Success 859851578198683649\n",
      "Success 859607811541651456\n",
      "Success 859196978902773760\n",
      "Success 859074603037188101\n",
      "Success 858860390427611136\n",
      "Success 858843525470990336\n",
      "Success 858471635011153920\n",
      "Success 858107933456039936\n",
      "Success 857989990357356544\n",
      "Success 857746408056729600\n",
      "Success 857393404942143489\n",
      "Success 857263160327368704\n",
      "Success 857214891891077121\n",
      "Success 857062103051644929\n",
      "Success 857029823797047296\n",
      "Success 856543823941562368\n",
      "Success 856526610513747968\n",
      "Success 856288084350160898\n",
      "Success 856282028240666624\n",
      "Success 855862651834028034\n",
      "Success 855860136149123072\n",
      "Success 855857698524602368\n",
      "Success 855851453814013952\n",
      "Success 855818117272018944\n",
      "Success 855459453768019968\n",
      "Success 855245323840757760\n",
      "Success 855138241867124737\n",
      "Success 854732716440526848\n",
      "Success 854482394044301312\n",
      "Success 854365224396361728\n",
      "Success 854120357044912130\n",
      "Success 854010172552949760\n",
      "Success 853760880890318849\n",
      "Success 853639147608842240\n",
      "Success 853299958564483072\n",
      "Success 852936405516943360\n",
      "Success 852912242202992640\n",
      "Success 852672615818899456\n",
      "Success 852553447878664193\n",
      "Success 852311364735569921\n",
      "Success 852226086759018497\n",
      "Success 852189679701164033\n",
      "Success 851591660324737024\n",
      "Success 851464819735769094\n",
      "Success 851224888060895234\n",
      "Success 850753642995093505\n",
      "Success 850380195714523136\n",
      "Success 850333567704068097\n",
      "Success 850145622816686080\n",
      "Success 850019790995546112\n",
      "Success 849776966551130114\n",
      "Success 849668094696017920\n",
      "Success 849412302885593088\n",
      "Success 849336543269576704\n",
      "Success 849051919805034497\n",
      "Success 848690551926992896\n",
      "Success 848324959059550208\n",
      "Success 848213670039564288\n",
      "Success 848212111729840128\n",
      "Success 847978865427394560\n",
      "Success 847971574464610304\n",
      "Success 847962785489326080\n",
      "Success 847842811428974592\n",
      "Success 847617282490613760\n",
      "Success 847606175596138505\n",
      "Success 847251039262605312\n",
      "Success 847157206088847362\n",
      "Success 847116187444137987\n",
      "Success 846874817362120707\n",
      "Success 846514051647705089\n",
      "Success 846505985330044928\n",
      "Success 846153765933735936\n",
      "Success 846139713627017216\n",
      "Success 846042936437604353\n",
      "Success 845812042753855489\n",
      "Success 845677943972139009\n",
      "Success 845397057150107648\n",
      "Success 845306882940190720\n",
      "Success 845098359547420673\n",
      "Success 844979544864018432\n",
      "Success 844973813909606400\n",
      "Success 844580511645339650\n",
      "Success 844223788422217728\n",
      "Success 843981021012017153\n",
      "Success 843856843873095681\n",
      "Success 843604394117681152\n",
      "Success 843235543001513987\n",
      "Success 842846295480000512\n",
      "Success 842765311967449089\n",
      "Success 842535590457499648\n",
      "Success 842163532590374912\n",
      "Success 842115215311396866\n",
      "Success 841833993020538882\n",
      "Success 841680585030541313\n",
      "Success 841439858740625411\n",
      "Success 841320156043304961\n",
      "Success 841314665196081154\n",
      "Success 841077006473256960\n",
      "Success 840761248237133825\n",
      "Success 840728873075638272\n",
      "Success 840698636975636481\n",
      "Success 840696689258311684\n",
      "Success 840632337062862849\n",
      "Success 840370681858686976\n",
      "Success 840268004936019968\n",
      "Success 839990271299457024\n",
      "Success 839549326359670784\n",
      "Success 839290600511926273\n",
      "Success 839239871831150596\n",
      "Success 838952994649550848\n",
      "Success 838921590096166913\n",
      "Success 838916489579200512\n",
      "Success 838831947270979586\n",
      "Success 838561493054533637\n",
      "Success 838476387338051585\n",
      "Success 838201503651401729\n",
      "Success 838150277551247360\n",
      "Success 838085839343206401\n",
      "Success 838083903487373313\n",
      "Success 837820167694528512\n",
      "Success 837482249356513284\n",
      "Success 837471256429613056\n",
      "Success 837110210464448512\n",
      "Success 836989968035819520\n",
      "Success 836753516572119041\n",
      "Success 836677758902222849\n",
      "Success 836648853927522308\n",
      "Success 836397794269200385\n",
      "Success 836380477523124226\n",
      "Success 836260088725786625\n",
      "Success 836001077879255040\n",
      "Success 835685285446955009\n",
      "Success 835574547218894849\n",
      "Success 835536468978302976\n",
      "Success 835309094223372289\n",
      "Success 835297930240217089\n",
      "Success 835264098648616962\n",
      "Success 835246439529840640\n",
      "Success 835172783151792128\n",
      "Success 835152434251116546\n",
      "Success 834931633769889797\n",
      "Success 834786237630337024\n",
      "Success 834574053763584002\n",
      "Success 834477809192075265\n",
      "Success 834458053273591808\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Success 834209720923721728\n",
      "Success 834167344700198914\n",
      "Success 834089966724603904\n",
      "Success 834086379323871233\n",
      "Success 833863086058651648\n",
      "Success 833826103416520705\n",
      "Success 833732339549220864\n",
      "Success 833722901757046785\n",
      "Success 833479644947025920\n",
      "Success 833124694597443584\n",
      "Success 832998151111966721\n",
      "Success 832769181346996225\n",
      "Success 832757312314028032\n",
      "Success 832682457690300417\n",
      "Success 832645525019123713\n",
      "Success 832636094638288896\n",
      "Success 832397543355072512\n",
      "Success 832369877331693569\n",
      "Success 832273440279240704\n",
      "Success 832215909146226688\n",
      "Success 832215726631055365\n",
      "Success 832088576586297345\n",
      "Success 832040443403784192\n",
      "Success 832032802820481025\n",
      "Success 831939777352105988\n",
      "Success 831926988323639298\n",
      "Success 831911600680497154\n",
      "Success 831670449226514432\n",
      "Success 831650051525054464\n",
      "Success 831552930092285952\n",
      "Success 831322785565769729\n",
      "Success 831315979191906304\n",
      "Success 831309418084069378\n",
      "Success 831262627380748289\n",
      "Success 830956169170665475\n",
      "Success 830583320585068544\n",
      "Success 830173239259324417\n",
      "Success 830097400375152640\n",
      "Success 829878982036299777\n",
      "Success 829861396166877184\n",
      "Success 829501995190984704\n",
      "Success 829449946868879360\n",
      "Success 829141528400556032\n",
      "Success 829011960981237760\n",
      "Success 828801551087042563\n",
      "Success 828770345708580865\n",
      "Success 828708714936930305\n",
      "Success 828650029636317184\n",
      "Success 828409743546925057\n",
      "Success 828408677031882754\n",
      "Success 828381636999917570\n",
      "Success 828376505180889089\n",
      "Success 828372645993398273\n",
      "Success 828361771580813312\n",
      "Success 828046555563323392\n",
      "Success 828011680017821696\n",
      "Success 827933404142436356\n",
      "Success 827653905312006145\n",
      "Success 827600520311402496\n",
      "Success 827324948884643840\n",
      "Success 827199976799354881\n",
      "Success 826958653328592898\n",
      "Success 826848821049180160\n",
      "Success 826615380357632002\n",
      "Success 826598799820865537\n",
      "Success 826598365270007810\n",
      "Success 826476773533745153\n",
      "Success 826240494070030336\n",
      "Success 826204788643753985\n",
      "Success 826115272272650244\n",
      "Success 825876512159186944\n",
      "Success 825829644528148480\n",
      "Success 825535076884762624\n",
      "Success 825147591692263424\n",
      "Success 825120256414846976\n",
      "Success 825026590719483904\n",
      "Success 824796380199809024\n",
      "Success 824775126675836928\n",
      "Success 824663926340194305\n",
      "Success 824325613288833024\n",
      "Success 824297048279236611\n",
      "Success 824025158776213504\n",
      "Success 823939628516474880\n",
      "Success 823719002937630720\n",
      "Success 823699002998870016\n",
      "Success 823581115634085888\n",
      "Success 823333489516937216\n",
      "Success 823322678127919110\n",
      "Success 823269594223824897\n",
      "Success 822975315408461824\n",
      "Success 822872901745569793\n",
      "Success 822859134160621569\n",
      "Success 822647212903690241\n",
      "Success 822610361945911296\n",
      "Success 822489057087389700\n",
      "Success 822462944365645825\n",
      "Success 822244816520155136\n",
      "Success 822163064745328640\n",
      "Success 821886076407029760\n",
      "Success 821813639212650496\n",
      "Success 821765923262631936\n",
      "Success 821522889702862852\n",
      "Success 821421320206483457\n",
      "Success 821407182352777218\n",
      "Success 821153421864615936\n",
      "Success 821149554670182400\n",
      "Success 821107785811234820\n",
      "Success 821044531881721856\n",
      "Success 820837357901512704\n",
      "Success 820749716845686786\n",
      "Success 820690176645140481\n",
      "Success 820494788566847489\n",
      "Success 820446719150292993\n",
      "Success 820314633777061888\n",
      "Success 820078625395449857\n",
      "Success 820013781606658049\n",
      "Success 819952236453363712\n",
      "Success 819924195358416896\n",
      "Success 819711362133872643\n",
      "Success 819588359383371776\n",
      "Success 819347104292290561\n",
      "Success 819238181065359361\n",
      "Success 819227688460238848\n",
      "Success 819015337530290176\n",
      "Success 819015331746349057\n",
      "Success 819006400881917954\n",
      "Success 819004803107983360\n",
      "Success 818646164899774465\n",
      "Success 818627210458333184\n",
      "Success 818614493328580609\n",
      "Success 818588835076603904\n",
      "Success 818536468981415936\n",
      "Success 818307523543449600\n",
      "Success 818259473185828864\n",
      "Success 818145370475810820\n",
      "Success 817908911860748288\n",
      "Success 817827839487737858\n",
      "Success 817777686764523521\n",
      "Success 817536400337801217\n",
      "Success 817502432452313088\n",
      "Success 817423860136083457\n",
      "Success 817415592588222464\n",
      "Success 817181837579653120\n",
      "Success 817171292965273600\n",
      "Success 817120970343411712\n",
      "Success 817056546584727552\n",
      "Success 816829038950027264\n",
      "Success 816816676327063552\n",
      "Success 816697700272001025\n",
      "Success 816450570814898180\n",
      "Success 816336735214911488\n",
      "Success 816091915477250048\n",
      "Success 816062466425819140\n",
      "Success 816014286006976512\n",
      "Success 815990720817401858\n",
      "Success 815966073409433600\n",
      "Success 815745968457060357\n",
      "Success 815736392542261248\n",
      "Success 815639385530101762\n",
      "Success 815390420867969024\n",
      "Success 814986499976527872\n",
      "Success 814638523311648768\n",
      "Success 814578408554463233\n",
      "Success 814530161257443328\n",
      "Success 814153002265309185\n",
      "Success 813944609378369540\n",
      "Success 813910438903693312\n",
      "Success 813812741911748608\n",
      "Success 813800681631023104\n",
      "Success 813217897535406080\n",
      "Success 813202720496779264\n",
      "Success 813187593374461952\n",
      "Success 813172488309972993\n",
      "Success 813157409116065792\n",
      "Success 813142292504645637\n",
      "Success 813130366689148928\n",
      "Success 813127251579564032\n",
      "Success 813112105746448384\n",
      "Success 813096984823349248\n",
      "Success 813081950185472002\n",
      "Success 813066809284972545\n",
      "Success 813051746834595840\n",
      "Success 812781120811126785\n",
      "Success 812709060537683968\n",
      "Success 812503143955202048\n",
      "Success 812466873996607488\n",
      "Success 812372279581671427\n",
      "Success 811985624773361665\n",
      "Success 811744202451197953\n",
      "Success 811647686436880384\n",
      "Success 811627233043480576\n",
      "Success 811386762094317568\n",
      "Success 810984652412424192\n",
      "Success 810896069567610880\n",
      "Success 810657578271330305\n",
      "Success 810284430598270976\n",
      "Success 810254108431155201\n",
      "Success 809920764300447744\n",
      "Success 809808892968534016\n",
      "Success 809448704142938112\n",
      "Success 809220051211603969\n",
      "Success 809084759137812480\n",
      "Success 808838249661788160\n",
      "Success 808733504066486276\n",
      "Success 808501579447930884\n",
      "Success 808344865868283904\n",
      "Success 808134635716833280\n",
      "Success 808106460588765185\n",
      "Success 808001312164028416\n",
      "Success 807621403335917568\n",
      "Success 807106840509214720\n",
      "Success 807059379405148160\n",
      "Success 807010152071229440\n",
      "Success 806629075125202948\n",
      "Success 806620845233815552\n",
      "Success 806576416489959424\n",
      "Success 806542213899489280\n",
      "Success 806242860592926720\n",
      "Success 806219024703037440\n",
      "Success 805958939288408065\n",
      "Success 805932879469572096\n",
      "Success 805826884734976000\n",
      "Success 805823200554876929\n",
      "Success 805520635690676224\n",
      "Success 805487436403003392\n",
      "Success 805207613751304193\n",
      "Success 804738756058218496\n",
      "Success 804475857670639616\n",
      "Success 804413760345620481\n",
      "Success 804026241225523202\n",
      "Success 803773340896923648\n",
      "Success 803692223237865472\n",
      "Success 803638050916102144\n",
      "Success 803380650405482500\n",
      "Success 803321560782307329\n",
      "Success 803276597545603072\n",
      "Success 802952499103731712\n",
      "Success 802624713319034886\n",
      "Success 802600418706604034\n",
      "Success 802572683846291456\n",
      "Success 802323869084381190\n",
      "Success 802265048156610565\n",
      "Success 802239329049477120\n",
      "Success 802185808107208704\n",
      "Success 801958328846974976\n",
      "Success 801854953262350336\n",
      "Success 801538201127157760\n",
      "Success 801285448605831168\n",
      "Success 801167903437357056\n",
      "Success 801127390143516673\n",
      "Success 801115127852503040\n",
      "Success 800859414831898624\n",
      "Success 800855607700029440\n",
      "Success 800751577355128832\n",
      "Success 800513324630806528\n",
      "Success 800459316964663297\n",
      "Success 800443802682937345\n",
      "Success 800388270626521089\n",
      "Success 800188575492947969\n",
      "Success 800141422401830912\n",
      "Success 800018252395122689\n",
      "Success 799774291445383169\n",
      "Success 799757965289017345\n",
      "Success 799422933579902976\n",
      "Success 799308762079035393\n",
      "Success 799297110730567681\n",
      "Success 799063482566066176\n",
      "Success 798933969379225600\n",
      "Success 798925684722855936\n",
      "Success 798705661114773508\n",
      "Success 798701998996647937\n",
      "Success 798697898615730177\n",
      "Success 798694562394996736\n",
      "Success 798686750113755136\n",
      "Success 798682547630837760\n",
      "Success 798673117451325440\n",
      "Success 798665375516884993\n",
      "Success 798644042770751489\n",
      "Success 798628517273620480\n",
      "Success 798585098161549313\n",
      "Success 798576900688019456\n",
      "Success 798340744599797760\n",
      "Success 798209839306514432\n",
      "Success 797971864723324932\n",
      "Success 797545162159308800\n",
      "Success 797236660651966464\n",
      "Success 797165961484890113\n",
      "Success 796904159865868288\n",
      "Success 796865951799083009\n",
      "Success 796759840936919040\n",
      "Success 796563435802726400\n",
      "Success 796484825502875648\n",
      "Success 796387464403357696\n",
      "Success 796177847564038144\n",
      "Success 796149749086875649\n",
      "Success 796125600683540480\n",
      "Success 796116448414461957\n",
      "Success 796080075804475393\n",
      "Success 796031486298386433\n",
      "Success 795464331001561088\n",
      "Success 795400264262053889\n",
      "Success 795076730285391872\n",
      "Success 794983741416415232\n",
      "Success 794926597468000259\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Success 794355576146903043\n",
      "Success 794332329137291264\n",
      "Success 794205286408003585\n",
      "Success 793962221541933056\n",
      "Success 793845145112371200\n",
      "Success 793614319594401792\n",
      "Success 793601777308463104\n",
      "Success 793500921481273345\n",
      "Success 793286476301799424\n",
      "Success 793271401113350145\n",
      "Success 793256262322548741\n",
      "Success 793241302385262592\n",
      "Success 793226087023144960\n",
      "Success 793210959003287553\n",
      "Success 793195938047070209\n",
      "Success 793180763617361921\n",
      "Success 793165685325201412\n",
      "Success 793150605191548928\n",
      "Success 793135492858580992\n",
      "Success 793120401413079041\n",
      "Success 792913359805018113\n",
      "Success 792883833364439040\n",
      "Success 792773781206999040\n",
      "Success 792394556390137856\n",
      "Success 792050063153438720\n",
      "Success 791821351946420224\n",
      "Success 791784077045166082\n",
      "Success 791780927877898241\n",
      "Success 791774931465953280\n",
      "Success 791672322847637504\n",
      "Success 791406955684368384\n",
      "Success 791312159183634433\n",
      "Success 791026214425268224\n",
      "Success 790987426131050500\n",
      "Success 790946055508652032\n",
      "Success 790723298204217344\n",
      "Success 790698755171364864\n",
      "Success 790581949425475584\n",
      "Success 790337589677002753\n",
      "Success 790277117346975746\n",
      "Success 790227638568808452\n",
      "Success 789986466051088384\n",
      "Success 789960241177853952\n",
      "Success 789903600034189313\n",
      "Success 789628658055020548\n",
      "Success 789599242079838210\n",
      "Success 789530877013393408\n",
      "Success 789314372632018944\n",
      "Success 789280767834746880\n",
      "Success 789268448748703744\n",
      "Success 789137962068021249\n",
      "Success 788908386943430656\n",
      "Success 788765914992902144\n",
      "Success 788552643979468800\n",
      "Success 788412144018661376\n",
      "Success 788178268662984705\n",
      "Success 788150585577050112\n",
      "Success 788070120937619456\n",
      "Success 788039637453406209\n",
      "Success 787810552592695296\n",
      "Success 787717603741622272\n",
      "Success 787397959788929025\n",
      "Success 787322443945877504\n",
      "Success 787111942498508800\n",
      "Success 786963064373534720\n",
      "Success 786729988674449408\n",
      "Success 786709082849828864\n",
      "Success 786664955043049472\n",
      "Success 786595970293370880\n",
      "Success 786363235746385920\n",
      "Success 786286427768250368\n",
      "Success 786233965241827333\n",
      "Success 786051337297522688\n",
      "Success 786036967502913536\n",
      "Success 785927819176054784\n",
      "Success 785872687017132033\n",
      "Success 785639753186217984\n",
      "Success 785533386513321988\n",
      "Success 785515384317313025\n",
      "Success 785264754247995392\n",
      "Success 785170936622350336\n",
      "Success 784826020293709826\n",
      "Success 784517518371221505\n",
      "Success 784431430411685888\n",
      "Success 784183165795655680\n",
      "Success 784057939640352768\n",
      "Success 783839966405230592\n",
      "Success 783821107061198850\n",
      "Success 783695101801398276\n",
      "Success 783466772167098368\n",
      "Success 783391753726550016\n",
      "Success 783347506784731136\n",
      "Success 783334639985389568\n",
      "Success 783085703974514689\n",
      "Success 782969140009107456\n",
      "Success 782747134529531904\n",
      "Success 782722598790725632\n",
      "Success 782598640137187329\n",
      "Success 782305867769217024\n",
      "Success 782021823840026624\n",
      "Success 781955203444699136\n",
      "Success 781661882474196992\n",
      "Success 781655249211752448\n",
      "Success 781524693396357120\n",
      "Success 781308096455073793\n",
      "Success 781251288990355457\n",
      "Success 781163403222056960\n",
      "Success 780931614150983680\n",
      "Success 780858289093574656\n",
      "Success 780800785462489090\n",
      "Success 780601303617732608\n",
      "Success 780543529827336192\n",
      "Success 780496263422808064\n",
      "Success 780476555013349377\n",
      "Success 780459368902959104\n",
      "Success 780192070812196864\n",
      "Success 780092040432480260\n",
      "Success 780074436359819264\n",
      "Success 779834332596887552\n",
      "Success 779377524342161408\n",
      "Success 779124354206535695\n",
      "Success 779056095788752897\n",
      "Success 778990705243029504\n",
      "Success 778774459159379968\n",
      "Success 778764940568104960\n",
      "Success 778748913645780993\n",
      "Success 778650543019483137\n",
      "Success 778624900596654080\n",
      "Success 778408200802557953\n",
      "Success 778396591732486144\n",
      "Success 778383385161035776\n",
      "Success 778286810187399168\n",
      "Success 778039087836069888\n",
      "Success 778027034220126208\n",
      "Success 777953400541634568\n",
      "Success 777885040357281792\n",
      "Success 777684233540206592\n",
      "Success 777641927919427584\n",
      "Success 777621514455814149\n",
      "Success 777189768882946048\n",
      "Success 776819012571455488\n",
      "Success 776813020089548800\n",
      "Success 776477788987613185\n",
      "Success 776249906839351296\n",
      "Success 776218204058357768\n",
      "Success 776201521193218049\n",
      "Success 776113305656188928\n",
      "Success 776088319444877312\n",
      "Success 775898661951791106\n",
      "Success 775842724423557120\n",
      "Success 775733305207554048\n",
      "Success 775729183532220416\n",
      "Success 775364825476165632\n",
      "Success 775350846108426240\n",
      "Success 775085132600442880\n",
      "Success 774757898236878852\n",
      "Success 774639387460112384\n",
      "Success 774314403806253056\n",
      "Success 773985732834758656\n",
      "Success 773922284943896577\n",
      "Success 773704687002451968\n",
      "Success 773670353721753600\n",
      "Success 773547596996571136\n",
      "Success 773336787167145985\n",
      "Success 773308824254029826\n",
      "Success 773247561583001600\n",
      "Success 773191612633579521\n",
      "Success 772877495989305348\n",
      "Success 772826264096874500\n",
      "Success 772615324260794368\n",
      "Success 772581559778025472\n",
      "Success 772193107915964416\n",
      "Success 772152991789019136\n",
      "Success 772117678702071809\n",
      "Success 772114945936949249\n",
      "Success 772102971039580160\n",
      "Success 771908950375665664\n",
      "Success 771770456517009408\n",
      "Success 771500966810099713\n",
      "Success 771380798096281600\n",
      "Success 771171053431250945\n",
      "Success 771136648247640064\n",
      "Success 771102124360998913\n",
      "Success 771014301343748096\n",
      "Success 770787852854652928\n",
      "Success 770772759874076672\n",
      "Success 770655142660169732\n",
      "Success 770414278348247044\n",
      "Success 770293558247038976\n",
      "Success 770093767776997377\n",
      "Success 770069151037685760\n",
      "Success 769940425801170949\n",
      "Success 769695466921623552\n",
      "Success 769335591808995329\n",
      "Success 769212283578875904\n",
      "Success 768970937022709760\n",
      "Success 768909767477751808\n",
      "Success 768855141948723200\n",
      "Success 768609597686943744\n",
      "Success 768596291618299904\n",
      "Success 768554158521745409\n",
      "Success 768473857036525572\n",
      "Success 768193404517830656\n",
      "Success 767884188863397888\n",
      "Success 767754930266464257\n",
      "Success 767500508068192258\n",
      "Success 767191397493538821\n",
      "Success 767122157629476866\n",
      "Success 766793450729734144\n",
      "Success 766714921925144576\n",
      "Success 766693177336135680\n",
      "Success 766423258543644672\n",
      "Success 766313316352462849\n",
      "Success 766078092750233600\n",
      "Success 766069199026450432\n",
      "Success 766008592277377025\n",
      "Success 765719909049503744\n",
      "Success 765669560888528897\n",
      "Success 765395769549590528\n",
      "Success 765371061932261376\n",
      "Success 765222098633691136\n",
      "Success 764857477905154048\n",
      "Success 764259802650378240\n",
      "Success 763956972077010945\n",
      "Success 763837565564780549\n",
      "Success 763183847194451968\n",
      "Success 763167063695355904\n",
      "Success 763103485927849985\n",
      "Success 762699858130116608\n",
      "Success 762471784394268675\n",
      "Success 762464539388485633\n",
      "Success 762316489655476224\n",
      "Success 762035686371364864\n",
      "Success 761976711479193600\n",
      "Success 761750502866649088\n",
      "Success 761745352076779520\n",
      "Success 761672994376806400\n",
      "Success 761599872357261312\n",
      "Success 761371037149827077\n",
      "Success 761334018830917632\n",
      "Success 761292947749015552\n",
      "Success 761227390836215808\n",
      "Success 761004547850530816\n",
      "Success 760893934457552897\n",
      "Success 760656994973933572\n",
      "Rate limit reached. Sleeping for: 660\n",
      "Success 760641137271070720\n",
      "Success 760539183865880579\n",
      "Success 760521673607086080\n",
      "Success 760290219849637889\n",
      "Success 760252756032651264\n",
      "Success 760190180481531904\n",
      "Success 760153949710192640\n",
      "Success 759943073749200896\n",
      "Success 759846353224826880\n",
      "Success 759793422261743616\n",
      "Success 759557299618865152\n",
      "Success 759447681597108224\n",
      "Success 759446261539934208\n",
      "Success 759197388317847553\n",
      "Success 759159934323924993\n",
      "Success 759099523532779520\n",
      "Success 759047813560868866\n",
      "Success 758854675097526272\n",
      "Success 758828659922702336\n",
      "Success 758740312047005698\n",
      "Success 758474966123810816\n",
      "Success 758467244762497024\n",
      "Success 758405701903519748\n",
      "Success 758355060040593408\n",
      "Success 758099635764359168\n",
      "Success 758041019896193024\n",
      "Success 757741869644341248\n",
      "Success 757729163776290825\n",
      "Success 757725642876129280\n",
      "Success 757611664640446465\n",
      "Success 757597904299253760\n",
      "Success 757596066325864448\n",
      "Success 757400162377592832\n",
      "Success 757393109802180609\n",
      "Success 757354760399941633\n",
      "Success 756998049151549440\n",
      "Success 756939218950160384\n",
      "Success 756651752796094464\n",
      "Success 756526248105566208\n",
      "Success 756303284449767430\n",
      "Success 756288534030475264\n",
      "Success 756275833623502848\n",
      "Success 755955933503782912\n",
      "Success 755206590534418437\n",
      "Success 755110668769038337\n",
      "Success 754874841593970688\n",
      "Success 754856583969079297\n",
      "Success 754747087846248448\n",
      "Success 754482103782404096\n",
      "Success 754449512966619136\n",
      "Success 754120377874386944\n",
      "Success 753655901052166144\n",
      "Success 753420520834629632\n",
      "Success 753398408988139520\n",
      "Success 753375668877008896\n",
      "Success 753298634498793472\n",
      "Success 753294487569522689\n",
      "Success 753039830821511168\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Success 753026973505581056\n",
      "Success 752932432744185856\n",
      "Success 752917284578922496\n",
      "Success 752701944171524096\n",
      "Success 752682090207055872\n",
      "Success 752660715232722944\n",
      "Success 752568224206688256\n",
      "Success 752519690950500352\n",
      "Success 752334515931054080\n",
      "Success 752309394570878976\n",
      "Success 752173152931807232\n",
      "Success 751950017322246144\n",
      "Success 751937170840121344\n",
      "Success 751830394383790080\n",
      "Success 751793661361422336\n",
      "Success 751598357617971201\n",
      "Success 751583847268179968\n",
      "Success 751538714308972544\n",
      "Success 751456908746354688\n",
      "Success 751251247299190784\n",
      "Success 751205363882532864\n",
      "Success 751132876104687617\n",
      "Success 750868782890057730\n",
      "Success 750719632563142656\n",
      "Success 750506206503038976\n",
      "Success 750429297815552001\n",
      "Success 750383411068534784\n",
      "Success 750381685133418496\n",
      "Success 750147208377409536\n",
      "Success 750132105863102464\n",
      "Success 750117059602808832\n",
      "Success 750101899009982464\n",
      "Success 750086836815486976\n",
      "Success 750071704093859840\n",
      "Success 750056684286914561\n",
      "Success 750041628174217216\n",
      "Success 750026558547456000\n",
      "Success 750011400160841729\n",
      "Success 749996283729883136\n",
      "Success 749981277374128128\n",
      "Success 749774190421639168\n",
      "Success 749417653287129088\n",
      "Success 749403093750648834\n",
      "Success 749395845976588288\n",
      "Success 749317047558017024\n",
      "Success 749075273010798592\n",
      "Success 749064354620928000\n",
      "Success 749036806121881602\n",
      "Success 748977405889503236\n",
      "Success 748932637671223296\n",
      "Success 748705597323898880\n",
      "Success 748699167502000129\n",
      "Success 748692773788876800\n",
      "Success 748575535303884801\n",
      "Success 748568946752774144\n",
      "Success 748346686624440324\n",
      "Success 748337862848962560\n",
      "Success 748324050481647620\n",
      "Success 748307329658011649\n",
      "Success 748220828303695873\n",
      "Success 747963614829678593\n",
      "Success 747933425676525569\n",
      "Success 747885874273214464\n",
      "Success 747844099428986880\n",
      "Success 747816857231626240\n",
      "Success 747651430853525504\n",
      "Success 747648653817413632\n",
      "Success 747600769478692864\n",
      "Success 747594051852075008\n",
      "Success 747512671126323200\n",
      "Success 747461612269887489\n",
      "Success 747439450712596480\n",
      "Success 747242308580548608\n",
      "Success 747219827526344708\n",
      "Success 747204161125646336\n",
      "Success 747103485104099331\n",
      "Success 746906459439529985\n",
      "Success 746872823977771008\n",
      "Success 746818907684614144\n",
      "Success 746790600704425984\n",
      "Success 746757706116112384\n",
      "Success 746726898085036033\n",
      "Success 746542875601690625\n",
      "Success 746521445350707200\n",
      "Success 746507379341139972\n",
      "Success 746369468511756288\n",
      "Success 746131877086527488\n",
      "Success 746056683365994496\n",
      "Success 745789745784041472\n",
      "Success 745712589599014916\n",
      "Success 745433870967832576\n",
      "Success 745422732645535745\n",
      "Success 745314880350101504\n",
      "Success 745074613265149952\n",
      "Success 745057283344719872\n",
      "Success 744995568523612160\n",
      "Success 744971049620602880\n",
      "Success 744709971296780288\n",
      "Success 744334592493166593\n",
      "Success 744234799360020481\n",
      "Success 744223424764059648\n",
      "Success 743980027717509120\n",
      "Success 743895849529389061\n",
      "Success 743835915802583040\n",
      "Success 743609206067040256\n",
      "Success 743595368194129920\n",
      "Success 743545585370791937\n",
      "Success 743510151680958465\n",
      "Success 743253157753532416\n",
      "Success 743222593470234624\n",
      "Success 743210557239623680\n",
      "Success 742534281772302336\n",
      "Success 742528092657332225\n",
      "Success 742465774154047488\n",
      "Success 742423170473463808\n",
      "Success 742385895052087300\n",
      "Success 742161199639494656\n",
      "Success 742150209887731712\n",
      "Success 741793263812808706\n",
      "Success 741743634094141440\n",
      "Success 741438259667034112\n",
      "Success 741303864243200000\n",
      "Success 741099773336379392\n",
      "Success 741067306818797568\n",
      "Success 740995100998766593\n",
      "Success 740711788199743490\n",
      "Success 740699697422163968\n",
      "Success 740676976021798912\n",
      "Success 740373189193256964\n",
      "Success 740365076218183684\n",
      "Success 740359016048689152\n",
      "Success 740214038584557568\n",
      "Success 739979191639244800\n",
      "Success 739932936087216128\n",
      "Success 739844404073074688\n",
      "Success 739623569819336705\n",
      "Success 739606147276148736\n",
      "Success 739544079319588864\n",
      "Success 739485634323156992\n",
      "Success 739238157791694849\n",
      "Success 738891149612572673\n",
      "Success 738885046782832640\n",
      "Success 738883359779196928\n",
      "Success 738537504001953792\n",
      "Success 738402415918125056\n",
      "Success 738184450748633089\n",
      "Success 738166403467907072\n",
      "Success 738156290900254721\n",
      "Success 737826014890496000\n",
      "Success 737800304142471168\n",
      "Success 737678689543020544\n",
      "Success 737445876994609152\n",
      "Success 737322739594330112\n",
      "Success 737310737551491075\n",
      "Success 736736130620620800\n",
      "Success 736392552031657984\n",
      "Success 736365877722001409\n",
      "Success 736225175608430592\n",
      "Success 736010884653420544\n",
      "Success 735991953473572864\n",
      "Success 735648611367784448\n",
      "Success 735635087207878657\n",
      "Success 735274964362878976\n",
      "Success 735256018284875776\n",
      "Success 735137028879360001\n",
      "Success 734912297295085568\n",
      "Success 734787690684657664\n",
      "Success 734776360183431168\n",
      "Success 734559631394082816\n",
      "Success 733828123016450049\n",
      "Success 733822306246479872\n",
      "Success 733482008106668032\n",
      "Success 733460102733135873\n",
      "Success 733109485275860992\n",
      "Success 732732193018155009\n",
      "Success 732726085725589504\n",
      "Success 732585889486888962\n",
      "Success 732375214819057664\n",
      "Success 732005617171337216\n",
      "Success 731285275100512256\n",
      "Success 731156023742988288\n",
      "Success 730924654643314689\n",
      "Success 730573383004487680\n",
      "Success 730427201120833536\n",
      "Success 730211855403241472\n",
      "Success 730196704625098752\n",
      "Success 729854734790754305\n",
      "Success 729838605770891264\n",
      "Success 729823566028484608\n",
      "Success 729463711119904772\n",
      "Success 729113531270991872\n",
      "Success 728986383096946689\n",
      "Success 728760639972315136\n",
      "Success 728751179681943552\n",
      "Success 728653952833728512\n",
      "Success 728409960103686147\n",
      "Success 728387165835677696\n",
      "Success 728046963732717569\n",
      "Success 728035342121635841\n",
      "Success 728015554473250816\n",
      "Success 727685679342333952\n",
      "Success 727644517743104000\n",
      "Success 727524757080539137\n",
      "Success 727314416056803329\n",
      "Success 727286334147182592\n",
      "Success 727175381690781696\n",
      "Success 727155742655025152\n",
      "Success 726935089318363137\n",
      "Success 726887082820554753\n",
      "Success 726828223124897792\n",
      "Success 726224900189511680\n",
      "Success 725842289046749185\n",
      "Success 725786712245440512\n",
      "Success 725729321944506368\n",
      "Success 725458796924002305\n",
      "Success 724983749226668032\n",
      "Success 724771698126512129\n",
      "Success 724405726123311104\n",
      "Success 724049859469295616\n",
      "Success 724046343203856385\n",
      "Success 724004602748780546\n",
      "Success 723912936180330496\n",
      "Success 723688335806480385\n",
      "Success 723673163800948736\n",
      "Success 723179728551723008\n",
      "Success 722974582966214656\n",
      "Success 722613351520608256\n",
      "Success 721503162398597120\n",
      "Success 721001180231503872\n",
      "Success 720785406564900865\n",
      "Success 720775346191278080\n",
      "Success 720415127506415616\n",
      "Success 720389942216527872\n",
      "Success 720340705894408192\n",
      "Success 720059472081784833\n",
      "Success 720043174954147842\n",
      "Success 719991154352222208\n",
      "Success 719704490224398336\n",
      "Success 719551379208073216\n",
      "Success 719367763014393856\n",
      "Success 719339463458033665\n",
      "Success 719332531645071360\n",
      "Success 718971898235854848\n",
      "Success 718939241951195136\n",
      "Success 718631497683582976\n",
      "Success 718613305783398402\n",
      "Success 718540630683709445\n",
      "Success 718460005985447936\n",
      "Success 718454725339934721\n",
      "Success 718246886998687744\n",
      "Success 718234618122661888\n",
      "Success 717841801130979328\n",
      "Success 717790033953034240\n",
      "Success 717537687239008257\n",
      "Success 717428917016076293\n",
      "Success 717421804990701568\n",
      "Success 717047459982213120\n",
      "Success 717009362452090881\n",
      "Success 716802964044845056\n",
      "Success 716791146589110272\n",
      "Success 716730379797970944\n",
      "Success 716447146686459905\n",
      "Success 716439118184652801\n",
      "Success 716285507865542656\n",
      "Success 716080869887381504\n",
      "Success 715928423106027520\n",
      "Success 715758151270801409\n",
      "Success 715733265223708672\n",
      "Success 715704790270025728\n",
      "Success 715696743237730304\n",
      "Success 715680795826982913\n",
      "Success 715360349751484417\n",
      "Success 715342466308784130\n",
      "Success 715220193576927233\n",
      "Success 715200624753819648\n",
      "Success 715009755312439296\n",
      "Success 714982300363173890\n",
      "Success 714962719905021952\n",
      "Success 714957620017307648\n",
      "Success 714631576617938945\n",
      "Success 714606013974974464\n",
      "Success 714485234495041536\n",
      "Success 714258258790387713\n",
      "Success 714251586676113411\n",
      "Success 714214115368108032\n",
      "Success 714141408463036416\n",
      "Success 713919462244790272\n",
      "Success 713909862279876608\n",
      "Success 713900603437621249\n",
      "Success 713761197720473600\n",
      "Success 713411074226274305\n",
      "Success 713177543487135744\n",
      "Success 713175907180089344\n",
      "Success 712809025985978368\n",
      "Success 712717840512598017\n",
      "Success 712668654853337088\n",
      "Success 712438159032893441\n",
      "Success 712309440758808576\n",
      "Success 712097430750289920\n",
      "Success 712092745624633345\n",
      "Success 712085617388212225\n",
      "Success 712065007010385924\n",
      "Success 711998809858043904\n",
      "Success 711968124745228288\n",
      "Success 711743778164514816\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Success 711732680602345472\n",
      "Success 711694788429553666\n",
      "Success 711652651650457602\n",
      "Success 711363825979756544\n",
      "Success 711306686208872448\n",
      "Success 711008018775851008\n",
      "Success 710997087345876993\n",
      "Success 710844581445812225\n",
      "Success 710833117892898816\n",
      "Success 710658690886586372\n",
      "Success 710609963652087808\n",
      "Success 710588934686908417\n",
      "Success 710296729921429505\n",
      "Success 710283270106132480\n",
      "Success 710272297844797440\n",
      "Success 710269109699739648\n",
      "Success 710153181850935296\n",
      "Success 710140971284037632\n",
      "Success 710117014656950272\n",
      "Success 709918798883774466\n",
      "Success 709901256215666688\n",
      "Success 709852847387627521\n",
      "Success 709566166965075968\n",
      "Success 709556954897764353\n",
      "Success 709519240576036864\n",
      "Success 709449600415961088\n",
      "Success 709409458133323776\n",
      "Success 709225125749587968\n",
      "Success 709207347839836162\n",
      "Success 709198395643068416\n",
      "Success 709179584944730112\n",
      "Success 709158332880297985\n",
      "Success 709042156699303936\n",
      "Success 708853462201716736\n",
      "Success 708845821941387268\n",
      "Success 708834316713893888\n",
      "Success 708810915978854401\n",
      "Success 708738143638450176\n",
      "Success 708711088997666817\n",
      "Success 708479650088034305\n",
      "Success 708469915515297792\n",
      "Success 708400866336894977\n",
      "Success 708356463048204288\n",
      "Success 708349470027751425\n",
      "Success 708149363256774660\n",
      "Success 708130923141795840\n",
      "Success 708119489313951744\n",
      "Success 708109389455101952\n",
      "Success 708026248782585858\n",
      "Success 707995814724026368\n",
      "Success 707983188426153984\n",
      "Success 707969809498152960\n",
      "Success 707776935007539200\n",
      "Success 707741517457260545\n",
      "Success 707738799544082433\n",
      "Success 707693576495472641\n",
      "Success 707629649552134146\n",
      "Success 707610948723478529\n",
      "Success 707420581654872064\n",
      "Success 707411934438625280\n",
      "Success 707387676719185920\n",
      "Success 707377100785885184\n",
      "Success 707315916783140866\n",
      "Success 707297311098011648\n",
      "Success 707059547140169728\n",
      "Success 707038192327901184\n",
      "Success 707021089608753152\n",
      "Success 707014260413456384\n",
      "Success 706904523814649856\n",
      "Success 706901761596989440\n",
      "Success 706681918348251136\n",
      "Success 706644897839910912\n",
      "Success 706593038911545345\n",
      "Success 706538006853918722\n",
      "Success 706516534877929472\n",
      "Success 706346369204748288\n",
      "Success 706310011488698368\n",
      "Success 706291001778950144\n",
      "Success 706265994973601792\n",
      "Success 706169069255446529\n",
      "Success 706166467411222528\n",
      "Success 706153300320784384\n",
      "Success 705975130514706432\n",
      "Success 705970349788291072\n",
      "Success 705898680587526145\n",
      "Success 705786532653883392\n",
      "Success 705591895322394625\n",
      "Success 705475953783398401\n",
      "Success 705442520700944385\n",
      "Success 705428427625635840\n",
      "Success 705239209544720384\n",
      "Success 705223444686888960\n",
      "Success 705102439679201280\n",
      "Success 705066031337840642\n",
      "Success 704871453724954624\n",
      "Success 704859558691414016\n",
      "Success 704847917308362754\n",
      "Success 704819833553219584\n",
      "Success 704761120771465216\n",
      "Success 704499785726889984\n",
      "Success 704491224099647488\n",
      "Success 704480331685040129\n",
      "Success 704364645503647744\n",
      "Success 704347321748819968\n",
      "Success 704134088924532736\n",
      "Success 704113298707505153\n",
      "Success 704054845121142784\n",
      "Success 703774238772166656\n",
      "Success 703769065844768768\n",
      "Success 703631701117943808\n",
      "Success 703611486317502464\n",
      "Success 703425003149250560\n",
      "Success 703407252292673536\n",
      "Success 703382836347330562\n",
      "Success 703356393781329922\n",
      "Success 703268521220972544\n",
      "Success 703079050210877440\n",
      "Success 703041949650034688\n",
      "Success 702932127499816960\n",
      "Success 702899151802126337\n",
      "Success 702684942141153280\n",
      "Success 702671118226825216\n",
      "Success 702598099714314240\n",
      "Success 702539513671897089\n",
      "Success 702332542343577600\n",
      "Success 702321140488925184\n",
      "Success 702276748847800320\n",
      "Success 702217446468493312\n",
      "Success 701981390485725185\n",
      "Success 701952816642965504\n",
      "Success 701889187134500865\n",
      "Success 701805642395348998\n",
      "Success 701601587219795968\n",
      "Success 701570477911896070\n",
      "Success 701545186879471618\n",
      "Success 701214700881756160\n",
      "Success 700890391244103680\n",
      "Success 700864154249383937\n",
      "Success 700847567345688576\n",
      "Success 700796979434098688\n",
      "Success 700747788515020802\n",
      "Success 700518061187723268\n",
      "Success 700505138482569216\n",
      "Success 700462010979500032\n",
      "Success 700167517596164096\n",
      "Success 700151421916807169\n",
      "Success 700143752053182464\n",
      "Success 700062718104104960\n",
      "Success 700029284593901568\n",
      "Success 700002074055016451\n",
      "Success 699801817392291840\n",
      "Success 699788877217865730\n",
      "Success 699779630832685056\n",
      "Success 699775878809702401\n",
      "Success 699691744225525762\n",
      "Success 699446877801091073\n",
      "Success 699434518667751424\n",
      "Success 699423671849451520\n",
      "Success 699413908797464576\n",
      "Success 699370870310113280\n",
      "Success 699323444782047232\n",
      "Success 699088579889332224\n",
      "Success 699079609774645248\n",
      "Success 699072405256409088\n",
      "Success 699060279947165696\n",
      "Success 699036661657767936\n",
      "Success 698989035503689728\n",
      "Success 698953797952008193\n",
      "Success 698907974262222848\n",
      "Success 698710712454139905\n",
      "Success 698703483621523456\n",
      "Success 698635131305795584\n",
      "Success 698549713696649216\n",
      "Success 698355670425473025\n",
      "Success 698342080612007937\n",
      "Success 698262614669991936\n",
      "Success 698195409219559425\n",
      "Success 698178924120031232\n",
      "Success 697995514407682048\n",
      "Success 697990423684476929\n",
      "Success 697943111201378304\n",
      "Success 697881462549430272\n",
      "Success 697630435728322560\n",
      "Success 697616773278015490\n",
      "Success 697596423848730625\n",
      "Success 697575480820686848\n",
      "Success 697516214579523584\n",
      "Success 697482927769255936\n",
      "Success 697463031882764288\n",
      "Success 697270446429966336\n",
      "Success 697259378236399616\n",
      "Success 697255105972801536\n",
      "Success 697242256848379904\n",
      "Success 696900204696625153\n",
      "Success 696894894812565505\n",
      "Success 696886256886657024\n",
      "Success 696877980375769088\n",
      "Success 696754882863349760\n",
      "Success 696744641916489729\n",
      "Success 696713835009417216\n",
      "Success 696518437233913856\n",
      "Success 696490539101908992\n",
      "Success 696488710901260288\n",
      "Success 696405997980676096\n",
      "Success 696100768806522880\n",
      "Success 695816827381944320\n",
      "Success 695794761660297217\n",
      "Success 695767669421768709\n",
      "Success 695629776980148225\n",
      "Success 695446424020918272\n",
      "Success 695409464418041856\n",
      "Success 695314793360662529\n",
      "Success 695095422348574720\n",
      "Success 695074328191332352\n",
      "Success 695064344191721472\n",
      "Success 695051054296211456\n",
      "Success 694925794720792577\n",
      "Success 694905863685980160\n",
      "Success 694669722378485760\n",
      "Success 694356675654983680\n",
      "Success 694352839993344000\n",
      "Success 694342028726001664\n",
      "Success 694329668942569472\n",
      "Success 694206574471057408\n",
      "Success 694183373896572928\n",
      "Success 694001791655137281\n",
      "Success 693993230313091072\n",
      "Success 693942351086120961\n",
      "Success 693647888581312512\n",
      "Success 693644216740769793\n",
      "Success 693642232151285760\n",
      "Success 693629975228977152\n",
      "Success 693622659251335168\n",
      "Success 693590843962331137\n",
      "Success 693582294167244802\n",
      "Success 693486665285931008\n",
      "Success 693280720173801472\n",
      "Success 693267061318012928\n",
      "Success 693262851218264065\n",
      "Success 693231807727280129\n",
      "Success 693155686491000832\n",
      "Success 693109034023534592\n",
      "Success 693095443459342336\n",
      "Success 692919143163629568\n",
      "Success 692905862751522816\n",
      "Success 692901601640583168\n",
      "Success 692894228850999298\n",
      "Success 692828166163931137\n",
      "Success 692752401762250755\n",
      "Success 692568918515392513\n",
      "Success 692535307825213440\n",
      "Success 692530551048294401\n",
      "Success 692423280028966913\n",
      "Success 692417313023332352\n",
      "Success 692187005137076224\n",
      "Success 692158366030913536\n",
      "Success 692142790915014657\n",
      "Success 692041934689402880\n",
      "Success 692017291282812928\n",
      "Success 691820333922455552\n",
      "Success 691793053716221953\n",
      "Success 691756958957883396\n",
      "Success 691675652215414786\n",
      "Success 691483041324204033\n",
      "Success 691459709405118465\n",
      "Success 691444869282295808\n",
      "Success 691416866452082688\n",
      "Success 691321916024623104\n",
      "Success 691096613310316544\n",
      "Success 691090071332753408\n",
      "Success 690989312272396288\n",
      "Success 690959652130045952\n",
      "Success 690938899477221376\n",
      "Success 690932576555528194\n",
      "Success 690735892932222976\n",
      "Success 690728923253055490\n",
      "Success 690690673629138944\n",
      "Success 690649993829576704\n",
      "Success 690607260360429569\n",
      "Success 690597161306841088\n",
      "Success 690400367696297985\n",
      "Success 690374419777196032\n",
      "Success 690360449368465409\n",
      "Success 690348396616552449\n",
      "Success 690248561355657216\n",
      "Success 690021994562220032\n",
      "Success 690015576308211712\n",
      "Success 690005060500217858\n",
      "Success 689999384604450816\n",
      "Success 689993469801164801\n",
      "Success 689977555533848577\n",
      "Success 689905486972461056\n",
      "Success 689877686181715968\n",
      "Success 689835978131935233\n",
      "Success 689661964914655233\n",
      "Success 689659372465688576\n",
      "Success 689623661272240129\n",
      "Success 689599056876867584\n",
      "Success 689557536375177216\n",
      "Success 689517482558820352\n",
      "Success 689289219123089408\n",
      "Success 689283819090870273\n",
      "Success 689280876073582592\n",
      "Success 689275259254616065\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Success 689255633275777024\n",
      "Success 689154315265683456\n",
      "Success 689143371370250240\n",
      "Success 688916208532455424\n",
      "Success 688908934925697024\n",
      "Success 688898160958271489\n",
      "Success 688894073864884227\n",
      "Success 688828561667567616\n",
      "Success 688804835492233216\n",
      "Success 688789766343622656\n",
      "Success 688547210804498433\n",
      "Success 688519176466644993\n",
      "Success 688385280030670848\n",
      "Success 688211956440801280\n",
      "Success 688179443353796608\n",
      "Success 688116655151435777\n",
      "Success 688064179421470721\n",
      "Success 687841446767013888\n",
      "Success 687826841265172480\n",
      "Success 687818504314159109\n",
      "Success 687807801670897665\n",
      "Success 687732144991551489\n",
      "Success 687704180304273409\n",
      "Success 687664829264453632\n",
      "Success 687494652870668288\n",
      "Success 687480748861947905\n",
      "Success 687476254459715584\n",
      "Success 687460506001633280\n",
      "Success 687399393394311168\n",
      "Success 687317306314240000\n",
      "Success 687312378585812992\n",
      "Success 687127927494963200\n",
      "Success 687124485711986689\n",
      "Success 687109925361856513\n",
      "Success 687102708889812993\n",
      "Success 687096057537363968\n",
      "Success 686947101016735744\n",
      "Success 686760001961103360\n",
      "Success 686749460672679938\n",
      "Success 686730991906516992\n",
      "Success 686683045143953408\n",
      "Success 686618349602762752\n",
      "Success 686606069955735556\n",
      "Success 686394059078897668\n",
      "Success 686386521809772549\n",
      "Success 686377065986265092\n",
      "Success 686358356425093120\n",
      "Success 686286779679375361\n",
      "Success 686050296934563840\n",
      "Success 686035780142297088\n",
      "Success 686034024800862208\n",
      "Success 686007916130873345\n",
      "Success 686003207160610816\n",
      "Success 685973236358713344\n",
      "Success 685943807276412928\n",
      "Success 685906723014619143\n",
      "Success 685681090388975616\n",
      "Success 685667379192414208\n",
      "Success 685663452032069632\n",
      "Success 685641971164143616\n",
      "Success 685547936038666240\n",
      "Success 685532292383666176\n",
      "Success 685325112850124800\n",
      "Success 685321586178670592\n",
      "Success 685315239903100929\n",
      "Success 685307451701334016\n",
      "Success 685268753634967552\n",
      "Success 685198997565345792\n",
      "Success 685169283572338688\n",
      "Success 684969860808454144\n",
      "Success 684959798585110529\n",
      "Success 684940049151070208\n",
      "Success 684926975086034944\n",
      "Success 684914660081053696\n",
      "Success 684902183876321280\n",
      "Success 684880619965411328\n",
      "Success 684830982659280897\n",
      "Success 684800227459624960\n",
      "Success 684594889858887680\n",
      "Success 684588130326986752\n",
      "Success 684567543613382656\n",
      "Success 684538444857667585\n",
      "Success 684481074559381504\n",
      "Success 684460069371654144\n",
      "Success 684241637099323392\n",
      "Success 684225744407494656\n",
      "Success 684222868335505415\n",
      "Success 684200372118904832\n",
      "Success 684195085588783105\n",
      "Success 684188786104872960\n",
      "Success 684177701129875456\n",
      "Success 684147889187209216\n",
      "Success 684122891630342144\n",
      "Success 684097758874210310\n",
      "Success 683857920510050305\n",
      "Success 683852578183077888\n",
      "Success 683849932751646720\n",
      "Success 683834909291606017\n",
      "Success 683828599284170753\n",
      "Success 683773439333797890\n",
      "Success 683742671509258241\n",
      "Success 683515932363329536\n",
      "Success 683498322573824003\n",
      "Success 683481228088049664\n",
      "Success 683462770029932544\n",
      "Success 683449695444799489\n",
      "Success 683391852557561860\n",
      "Success 683357973142474752\n",
      "Success 683142553609318400\n",
      "Success 683111407806746624\n",
      "Success 683098815881154561\n",
      "Success 683078886620553216\n",
      "Success 683030066213818368\n",
      "Success 682962037429899265\n",
      "Success 682808988178739200\n",
      "Success 682788441537560576\n",
      "Success 682750546109968385\n",
      "Success 682697186228989953\n",
      "Success 682662431982772225\n",
      "Success 682638830361513985\n",
      "Success 682429480204398592\n",
      "Success 682406705142087680\n",
      "Success 682393905736888321\n",
      "Success 682389078323662849\n",
      "Success 682303737705140231\n",
      "Success 682259524040966145\n",
      "Success 682242692827447297\n",
      "Success 682088079302213632\n",
      "Success 682059653698686977\n",
      "Success 682047327939461121\n",
      "Success 682032003584274432\n",
      "Success 682003177596559360\n",
      "Success 681981167097122816\n",
      "Success 681891461017812993\n",
      "Success 681694085539872773\n",
      "Success 681679526984871937\n",
      "Success 681654059175129088\n",
      "Success 681610798867845120\n",
      "Success 681579835668455424\n",
      "Success 681523177663676416\n",
      "Success 681340665377193984\n",
      "Success 681339448655802368\n",
      "Success 681320187870711809\n",
      "Success 681302363064414209\n",
      "Success 681297372102656000\n",
      "Success 681281657291280384\n",
      "Success 681261549936340994\n",
      "Success 681242418453299201\n",
      "Success 681231109724700672\n",
      "Success 681193455364796417\n",
      "Success 680970795137544192\n",
      "Success 680959110691590145\n",
      "Success 680940246314430465\n",
      "Success 680934982542561280\n",
      "Success 680913438424612864\n",
      "Success 680889648562991104\n",
      "Success 680836378243002368\n",
      "Success 680805554198020098\n",
      "Success 680801747103793152\n",
      "Success 680798457301471234\n",
      "Success 680609293079592961\n",
      "Success 680583894916304897\n",
      "Success 680497766108381184\n",
      "Success 680494726643068929\n",
      "Success 680473011644985345\n",
      "Success 680440374763077632\n",
      "Success 680221482581123072\n",
      "Success 680206703334408192\n",
      "Success 680191257256136705\n",
      "Success 680176173301628928\n",
      "Success 680161097740095489\n",
      "Success 680145970311643136\n",
      "Success 680130881361686529\n",
      "Success 680115823365742593\n",
      "Success 680100725817409536\n",
      "Success 680085611152338944\n",
      "Success 680070545539371008\n",
      "Success 679877062409191424\n",
      "Success 679872969355714560\n",
      "Success 679862121895714818\n",
      "Success 679854723806179328\n",
      "Success 679844490799091713\n",
      "Success 679828447187857408\n",
      "Success 679777920601223168\n",
      "Success 679736210798047232\n",
      "Success 679729593985699840\n",
      "Success 679722016581222400\n",
      "Success 679530280114372609\n",
      "Success 679527802031484928\n",
      "Success 679511351870550016\n",
      "Success 679503373272485890\n",
      "Success 679475951516934144\n",
      "Success 679462823135686656\n",
      "Success 679405845277462528\n",
      "Success 679158373988876288\n",
      "Success 679148763231985668\n",
      "Success 679132435750195208\n",
      "Success 679111216690831360\n",
      "Success 679062614270468097\n",
      "Success 679047485189439488\n",
      "Success 679001094530465792\n",
      "Success 678991772295516161\n",
      "Success 678969228704284672\n",
      "Success 678800283649069056\n",
      "Success 678798276842360832\n",
      "Success 678774928607469569\n",
      "Success 678767140346941444\n",
      "Success 678764513869611008\n",
      "Success 678755239630127104\n",
      "Success 678740035362037760\n",
      "Success 678708137298427904\n",
      "Success 678675843183484930\n",
      "Success 678643457146150913\n",
      "Success 678446151570427904\n",
      "Success 678424312106393600\n",
      "Success 678410210315247616\n",
      "Success 678399652199309312\n",
      "Success 678396796259975168\n",
      "Success 678389028614488064\n",
      "Success 678380236862578688\n",
      "Success 678341075375947776\n",
      "Success 678334497360859136\n",
      "Success 678278586130948096\n",
      "Success 678255464182861824\n",
      "Success 678023323247357953\n",
      "Success 678021115718029313\n",
      "Success 677961670166224897\n",
      "Success 677918531514703872\n",
      "Success 677895101218201600\n",
      "Rate limit reached. Sleeping for: 736\n",
      "Success 677716515794329600\n",
      "Success 677700003327029250\n",
      "Success 677698403548192770\n",
      "Success 677687604918272002\n",
      "Success 677673981332312066\n",
      "Success 677662372920729601\n",
      "Success 677644091929329666\n",
      "Success 677573743309385728\n",
      "Success 677565715327688705\n",
      "Success 677557565589463040\n",
      "Success 677547928504967168\n",
      "Success 677530072887205888\n",
      "Success 677335745548390400\n",
      "Success 677334615166730240\n",
      "Success 677331501395156992\n",
      "Success 677328882937298944\n",
      "Success 677314812125323265\n",
      "Success 677301033169788928\n",
      "Success 677269281705472000\n",
      "Success 677228873407442944\n",
      "Success 677187300187611136\n",
      "Success 676975532580409345\n",
      "Success 676957860086095872\n",
      "Success 676949632774234114\n",
      "Success 676948236477857792\n",
      "Success 676946864479084545\n",
      "Success 676942428000112642\n",
      "Success 676936541936185344\n",
      "Success 676916996760600576\n",
      "Success 676897532954456065\n",
      "Success 676864501615042560\n",
      "Success 676821958043033607\n",
      "Success 676819651066732545\n",
      "Success 676811746707918848\n",
      "Success 676776431406465024\n",
      "Success 676617503762681856\n",
      "Success 676613908052996102\n",
      "Success 676606785097199616\n",
      "Success 676603393314578432\n",
      "Success 676593408224403456\n",
      "Success 676590572941893632\n",
      "Success 676588346097852417\n",
      "Success 676582956622721024\n",
      "Success 676575501977128964\n",
      "Success 676533798876651520\n",
      "Success 676496375194980353\n",
      "Success 676470639084101634\n",
      "Success 676440007570247681\n",
      "Success 676430933382295552\n",
      "Success 676263575653122048\n",
      "Success 676237365392908289\n",
      "Success 676219687039057920\n",
      "Success 676215927814406144\n",
      "Success 676191832485810177\n",
      "Success 676146341966438401\n",
      "Success 676121918416756736\n",
      "Success 676101918813499392\n",
      "Success 676098748976615425\n",
      "Success 676089483918516224\n",
      "Success 675898130735476737\n",
      "Success 675891555769696257\n",
      "Success 675888385639251968\n",
      "Success 675878199931371520\n",
      "Success 675870721063669760\n",
      "Success 675853064436391936\n",
      "Success 675849018447167488\n",
      "Success 675845657354215424\n",
      "Success 675822767435051008\n",
      "Success 675820929667219457\n",
      "Success 675798442703122432\n",
      "Success 675781562965868544\n",
      "Success 675740360753160193\n",
      "Success 675710890956750848\n",
      "Success 675707330206547968\n",
      "Success 675706639471788032\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Success 675534494439489536\n",
      "Success 675531475945709568\n",
      "Success 675522403582218240\n",
      "Success 675517828909424640\n",
      "Success 675501075957489664\n",
      "Success 675497103322386432\n",
      "Success 675489971617296384\n",
      "Success 675483430902214656\n",
      "Success 675432746517426176\n",
      "Success 675372240448454658\n",
      "Success 675362609739206656\n",
      "Success 675354435921575936\n",
      "Success 675349384339542016\n",
      "Success 675334060156301312\n",
      "Success 675166823650848770\n",
      "Success 675153376133427200\n",
      "Success 675149409102012420\n",
      "Success 675147105808306176\n",
      "Success 675146535592706048\n",
      "Success 675145476954566656\n",
      "Success 675135153782571009\n",
      "Success 675113801096802304\n",
      "Success 675111688094527488\n",
      "Success 675109292475830276\n",
      "Success 675047298674663426\n",
      "Success 675015141583413248\n",
      "Success 675006312288268288\n",
      "Success 675003128568291329\n",
      "Success 674999807681908736\n",
      "Success 674805413498527744\n",
      "Success 674800520222154752\n",
      "Success 674793399141146624\n",
      "Success 674790488185167872\n",
      "Success 674788554665512960\n",
      "Success 674781762103414784\n",
      "Success 674774481756377088\n",
      "Success 674767892831932416\n",
      "Success 674764817387900928\n",
      "Success 674754018082705410\n",
      "Success 674752233200820224\n",
      "Success 674743008475090944\n",
      "Success 674742531037511680\n",
      "Success 674739953134403584\n",
      "Success 674737130913071104\n",
      "Success 674690135443775488\n",
      "Success 674670581682434048\n",
      "Success 674664755118911488\n",
      "Success 674646392044941312\n",
      "Success 674644256330530816\n",
      "Success 674638615994089473\n",
      "Success 674632714662858753\n",
      "Success 674606911342424069\n",
      "Success 674468880899788800\n",
      "Success 674447403907457024\n",
      "Success 674436901579923456\n",
      "Success 674422304705744896\n",
      "Success 674416750885273600\n",
      "Success 674410619106390016\n",
      "Success 674394782723014656\n",
      "Success 674372068062928900\n",
      "Success 674330906434379776\n",
      "Success 674318007229923329\n",
      "Success 674307341513269249\n",
      "Success 674291837063053312\n",
      "Success 674271431610523648\n",
      "Success 674269164442398721\n",
      "Success 674265582246694913\n",
      "Success 674262580978937856\n",
      "Success 674255168825880576\n",
      "Success 674082852460433408\n",
      "Success 674075285688614912\n",
      "Success 674063288070742018\n",
      "Success 674053186244734976\n",
      "Success 674051556661161984\n",
      "Success 674045139690631169\n",
      "Success 674042553264685056\n",
      "Success 674038233588723717\n",
      "Success 674036086168010753\n",
      "Success 674024893172875264\n",
      "Success 674019345211760640\n",
      "Success 674014384960745472\n",
      "Success 674008982932058114\n",
      "Success 673956914389192708\n",
      "Success 673919437611909120\n",
      "Success 673906403526995968\n",
      "Success 673887867907739649\n",
      "Success 673716320723169284\n",
      "Success 673715861853720576\n",
      "Success 673711475735838725\n",
      "Success 673709992831262724\n",
      "Success 673708611235921920\n",
      "Success 673707060090052608\n",
      "Success 673705679337693185\n",
      "Success 673700254269775872\n",
      "Success 673697980713705472\n",
      "Success 673689733134946305\n",
      "Success 673688752737402881\n",
      "Success 673686845050527744\n",
      "Success 673680198160809984\n",
      "Success 673662677122719744\n",
      "Success 673656262056419329\n",
      "Success 673636718965334016\n",
      "Success 673612854080196609\n",
      "Success 673583129559498752\n",
      "Success 673580926094458881\n",
      "Success 673576835670777856\n",
      "Success 673363615379013632\n",
      "Success 673359818736984064\n",
      "Success 673355879178194945\n",
      "Success 673352124999274496\n",
      "Success 673350198937153538\n",
      "Success 673345638550134785\n",
      "Success 673343217010679808\n",
      "Success 673342308415348736\n",
      "Success 673320132811366400\n",
      "Success 673317986296586240\n",
      "Success 673295268553605120\n",
      "Success 673270968295534593\n",
      "Success 673240798075449344\n",
      "Success 673213039743795200\n",
      "Success 673148804208660480\n",
      "Success 672997845381865473\n",
      "Success 672995267319328768\n",
      "Success 672988786805112832\n",
      "Success 672984142909456390\n",
      "Success 672980819271634944\n",
      "Success 672975131468300288\n",
      "Success 672970152493887488\n",
      "Success 672968025906282496\n",
      "Success 672964561327235073\n",
      "Success 672902681409806336\n",
      "Success 672898206762672129\n",
      "Success 672884426393653248\n",
      "Success 672877615439593473\n",
      "Success 672834301050937345\n",
      "Success 672828477930868736\n",
      "Success 672640509974827008\n",
      "Success 672622327801233409\n",
      "Success 672614745925664768\n",
      "Success 672609152938721280\n",
      "Success 672604026190569472\n",
      "Success 672594978741354496\n",
      "Success 672591762242805761\n",
      "Success 672591271085670400\n",
      "Success 672538107540070400\n",
      "Success 672523490734551040\n",
      "Success 672488522314567680\n",
      "Success 672482722825261057\n",
      "Success 672481316919734272\n",
      "Success 672475084225949696\n",
      "Success 672466075045466113\n",
      "Success 672272411274932228\n",
      "Success 672267570918129665\n",
      "Success 672264251789176834\n",
      "Success 672256522047614977\n",
      "Success 672254177670729728\n",
      "Success 672248013293752320\n",
      "Success 672245253877968896\n",
      "Success 672239279297454080\n",
      "Success 672231046314901505\n",
      "Success 672222792075620352\n",
      "Success 672205392827572224\n",
      "Success 672169685991993344\n",
      "Success 672160042234327040\n",
      "Success 672139350159835138\n",
      "Success 672125275208069120\n",
      "Success 672095186491711488\n",
      "Success 672082170312290304\n",
      "Success 672068090318987265\n",
      "Success 671896809300709376\n",
      "Success 671891728106971137\n",
      "Success 671882082306625538\n",
      "Success 671879137494245376\n",
      "Success 671874878652489728\n",
      "Success 671866342182637568\n",
      "Success 671855973984772097\n",
      "Success 671789708968640512\n",
      "Success 671768281401958400\n",
      "Success 671763349865160704\n",
      "Success 671744970634719232\n",
      "Success 671743150407421952\n",
      "Success 671735591348891648\n",
      "Success 671729906628341761\n",
      "Success 671561002136281088\n",
      "Success 671550332464455680\n",
      "Success 671547767500775424\n",
      "Success 671544874165002241\n",
      "Success 671542985629241344\n",
      "Success 671538301157904385\n",
      "Success 671536543010570240\n",
      "Success 671533943490011136\n",
      "Success 671528761649688577\n",
      "Success 671520732782923777\n",
      "Success 671518598289059840\n",
      "Success 671511350426865664\n",
      "Success 671504605491109889\n",
      "Success 671497587707535361\n",
      "Success 671488513339211776\n",
      "Success 671486386088865792\n",
      "Success 671485057807351808\n",
      "Success 671390180817915904\n",
      "Success 671362598324076544\n",
      "Success 671357843010908160\n",
      "Success 671355857343524864\n",
      "Success 671347597085433856\n",
      "Success 671186162933985280\n",
      "Success 671182547775299584\n",
      "Success 671166507850801152\n",
      "Success 671163268581498880\n",
      "Success 671159727754231808\n",
      "Success 671154572044468225\n",
      "Success 671151324042559489\n",
      "Success 671147085991960577\n",
      "Success 671141549288370177\n",
      "Success 671138694582165504\n",
      "Success 671134062904504320\n",
      "Success 671122204919246848\n",
      "Success 671115716440031232\n",
      "Success 671109016219725825\n",
      "Success 670995969505435648\n",
      "Success 670842764863651840\n",
      "Success 670840546554966016\n",
      "Success 670838202509447168\n",
      "Success 670833812859932673\n",
      "Success 670832455012716544\n",
      "Success 670826280409919488\n",
      "Success 670823764196741120\n",
      "Success 670822709593571328\n",
      "Success 670815497391357952\n",
      "Success 670811965569282048\n",
      "Success 670807719151067136\n",
      "Success 670804601705242624\n",
      "Success 670803562457407488\n",
      "Success 670797304698376195\n",
      "Success 670792680469889025\n",
      "Success 670789397210615808\n",
      "Success 670786190031921152\n",
      "Success 670783437142401025\n",
      "Success 670782429121134593\n",
      "Success 670780561024270336\n",
      "Success 670778058496974848\n",
      "Success 670764103623966721\n",
      "Success 670755717859713024\n",
      "Success 670733412878163972\n",
      "Success 670727704916926465\n",
      "Success 670717338665226240\n",
      "Success 670704688707301377\n",
      "Success 670691627984359425\n",
      "Success 670679630144274432\n",
      "Success 670676092097810432\n",
      "Success 670668383499735048\n",
      "Success 670474236058800128\n",
      "Success 670468609693655041\n",
      "Success 670465786746662913\n",
      "Success 670452855871037440\n",
      "Success 670449342516494336\n",
      "Success 670444955656130560\n",
      "Success 670442337873600512\n",
      "Success 670435821946826752\n",
      "Success 670434127938719744\n",
      "Success 670433248821026816\n",
      "Success 670428280563085312\n",
      "Success 670427002554466305\n",
      "Success 670421925039075328\n",
      "Success 670420569653809152\n",
      "Success 670417414769758208\n",
      "Success 670411370698022913\n",
      "Success 670408998013820928\n",
      "Success 670403879788544000\n",
      "Success 670385711116361728\n",
      "Success 670374371102445568\n",
      "Success 670361874861563904\n",
      "Success 670338931251150849\n",
      "Success 670319130621435904\n",
      "Success 670303360680108032\n",
      "Success 670290420111441920\n",
      "Success 670093938074779648\n",
      "Success 670086499208155136\n",
      "Success 670079681849372674\n",
      "Success 670073503555706880\n",
      "Success 670069087419133954\n",
      "Success 670061506722140161\n",
      "Success 670055038660800512\n",
      "Success 670046952931721218\n",
      "Success 670040295598354432\n",
      "Success 670037189829525505\n",
      "Success 670003130994700288\n",
      "Success 669993076832759809\n",
      "Success 669972011175813120\n",
      "Success 669970042633789440\n",
      "Success 669942763794931712\n",
      "Success 669926384437997569\n",
      "Success 669923323644657664\n",
      "Success 669753178989142016\n",
      "Success 669749430875258880\n",
      "Success 669684865554620416\n",
      "Success 669683899023405056\n",
      "Success 669682095984410625\n",
      "Success 669680153564442624\n",
      "Success 669661792646373376\n",
      "Success 669625907762618368\n",
      "Success 669603084620980224\n",
      "Success 669597912108789760\n",
      "Success 669583744538451968\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Success 669573570759163904\n",
      "Success 669571471778410496\n",
      "Success 669567591774625800\n",
      "Success 669564461267722241\n",
      "Success 669393256313184256\n",
      "Success 669375718304980992\n",
      "Success 669371483794317312\n",
      "Success 669367896104181761\n",
      "Success 669363888236994561\n",
      "Success 669359674819481600\n",
      "Success 669354382627049472\n",
      "Success 669353438988365824\n",
      "Success 669351434509529089\n",
      "Success 669328503091937280\n",
      "Success 669327207240699904\n",
      "Success 669324657376567296\n",
      "Success 669216679721873412\n",
      "Success 669214165781868544\n",
      "Success 669203728096960512\n",
      "Success 669037058363662336\n",
      "Success 669015743032369152\n",
      "Success 669006782128353280\n",
      "Success 669000397445533696\n",
      "Success 668994913074286592\n",
      "Success 668992363537309700\n",
      "Success 668989615043424256\n",
      "Success 668988183816871936\n",
      "Success 668986018524233728\n",
      "Success 668981893510119424\n",
      "Success 668979806671884288\n",
      "Success 668975677807423489\n",
      "Success 668967877119254528\n",
      "Success 668960084974809088\n",
      "Success 668955713004314625\n",
      "Success 668932921458302977\n",
      "Success 668902994700836864\n",
      "Success 668892474547511297\n",
      "Success 668872652652679168\n",
      "Success 668852170888998912\n",
      "Success 668826086256599040\n",
      "Success 668815180734689280\n",
      "Success 668779399630725120\n",
      "Success 668655139528511488\n",
      "Success 668645506898350081\n",
      "Success 668643542311546881\n",
      "Success 668641109086707712\n",
      "Success 668636665813057536\n",
      "Success 668633411083464705\n",
      "Success 668631377374486528\n",
      "Success 668627278264475648\n",
      "Success 668625577880875008\n",
      "Success 668623201287675904\n",
      "Success 668620235289837568\n",
      "Success 668614819948453888\n",
      "Success 668587383441514497\n",
      "Success 668567822092664832\n",
      "Success 668544745690562560\n",
      "Success 668542336805281792\n",
      "Success 668537837512433665\n",
      "Success 668528771708952576\n",
      "Success 668507509523615744\n",
      "Success 668496999348633600\n",
      "Success 668484198282485761\n",
      "Success 668480044826800133\n",
      "Success 668466899341221888\n",
      "Success 668297328638447616\n",
      "Success 668291999406125056\n",
      "Success 668286279830867968\n",
      "Success 668274247790391296\n",
      "Success 668268907921326080\n",
      "Success 668256321989451776\n",
      "Success 668248472370458624\n",
      "Success 668237644992782336\n",
      "Success 668226093875376128\n",
      "Success 668221241640230912\n",
      "Success 668204964695683073\n",
      "Success 668190681446379520\n",
      "Success 668171859951755264\n",
      "Success 668154635664932864\n",
      "Success 668142349051129856\n",
      "Success 668113020489474048\n",
      "Success 667937095915278337\n",
      "Success 667924896115245057\n",
      "Success 667915453470232577\n",
      "Success 667911425562669056\n",
      "Success 667902449697558528\n",
      "Success 667886921285246976\n",
      "Success 667885044254572545\n",
      "Success 667878741721415682\n",
      "Success 667873844930215936\n",
      "Success 667866724293877760\n",
      "Success 667861340749471744\n",
      "Success 667832474953625600\n",
      "Success 667806454573760512\n",
      "Success 667801013445750784\n",
      "Success 667793409583771648\n",
      "Success 667782464991965184\n",
      "Success 667773195014021121\n",
      "Success 667766675769573376\n",
      "Success 667728196545200128\n",
      "Success 667724302356258817\n",
      "Success 667550904950915073\n",
      "Success 667550882905632768\n",
      "Success 667549055577362432\n",
      "Success 667546741521195010\n",
      "Success 667544320556335104\n",
      "Success 667538891197542400\n",
      "Success 667534815156183040\n",
      "Success 667530908589760512\n",
      "Success 667524857454854144\n",
      "Success 667517642048163840\n",
      "Success 667509364010450944\n",
      "Success 667502640335572993\n",
      "Success 667495797102141441\n",
      "Success 667491009379606528\n",
      "Success 667470559035432960\n",
      "Success 667455448082227200\n",
      "Success 667453023279554560\n",
      "Success 667443425659232256\n",
      "Success 667437278097252352\n",
      "Success 667435689202614272\n",
      "Success 667405339315146752\n",
      "Success 667393430834667520\n",
      "Success 667369227918143488\n",
      "Success 667211855547486208\n",
      "Success 667200525029539841\n",
      "Success 667192066997374976\n",
      "Success 667188689915760640\n",
      "Success 667182792070062081\n",
      "Success 667177989038297088\n",
      "Success 667176164155375616\n",
      "Success 667174963120574464\n",
      "Success 667171260800061440\n",
      "Success 667165590075940865\n",
      "Success 667160273090932737\n",
      "Success 667152164079423490\n",
      "Success 667138269671505920\n",
      "Success 667119796878725120\n",
      "Success 667090893657276420\n",
      "Success 667073648344346624\n",
      "Success 667070482143944705\n",
      "Success 667065535570550784\n",
      "Success 667062181243039745\n",
      "Success 667044094246576128\n",
      "Success 667012601033924608\n",
      "Success 666996132027977728\n",
      "Success 666983947667116034\n",
      "Success 666837028449972224\n",
      "Success 666835007768551424\n",
      "Success 666826780179869698\n",
      "Success 666817836334096384\n",
      "Success 666804364988780544\n",
      "Success 666786068205871104\n",
      "Success 666781792255496192\n",
      "Success 666776908487630848\n",
      "Success 666739327293083650\n",
      "Success 666701168228331520\n",
      "Success 666691418707132416\n",
      "Success 666649482315059201\n",
      "Success 666644823164719104\n",
      "Success 666454714377183233\n",
      "Success 666447344410484738\n",
      "Success 666437273139982337\n",
      "Success 666435652385423360\n",
      "Success 666430724426358785\n",
      "Success 666428276349472768\n",
      "Success 666421158376562688\n",
      "Success 666418789513326592\n",
      "Success 666411507551481857\n",
      "Success 666407126856765440\n",
      "Success 666396247373291520\n",
      "Success 666373753744588802\n",
      "Success 666362758909284353\n",
      "Success 666353288456101888\n",
      "Success 666345417576210432\n",
      "Success 666337882303524864\n",
      "Success 666293911632134144\n",
      "Success 666287406224695296\n",
      "Success 666273097616637952\n",
      "Success 666268910803644416\n",
      "Success 666104133288665088\n",
      "Success 666102155909144576\n",
      "Success 666099513787052032\n",
      "Success 666094000022159362\n",
      "Success 666082916733198337\n",
      "Success 666073100786774016\n",
      "Success 666071193221509120\n",
      "Success 666063827256086533\n",
      "Success 666058600524156928\n",
      "Success 666057090499244032\n",
      "Success 666055525042405380\n",
      "Success 666051853826850816\n",
      "Success 666050758794694657\n",
      "Success 666049248165822465\n",
      "Success 666044226329800704\n",
      "Success 666033412701032449\n",
      "Success 666029285002620928\n",
      "Success 666020888022790149\n",
      "1836.8913331640001\n"
     ]
    }
   ],
   "source": [
    "#index variable with an initial value of -1 so indexing starts from zero\n",
    "index = -1\n",
    "#list of tweet_ids that throws a TweepyError\n",
    "error_ids = []\n",
    "start = timer()\n",
    "# Saving each tweet_ids json data to a new line in 'tweet_json.txt' file\n",
    "with open('tweet_json.txt', 'w') as file:\n",
    "    # This loop will likely take 20-30 minutes to run\n",
    "    for tweet_id in twitter_archive.tweet_id:\n",
    "        index += 1\n",
    "        try:\n",
    "            tweet = api.get_status(tweet_id, tweet_mode='extended')\n",
    "            print(\"Success\",tweet_id)\n",
    "            json.dump(tweet._json, file)\n",
    "            file.write('\\n')\n",
    "        except tweepy.TweepError:\n",
    "            error_ids.append(tweet_id)\n",
    "            pass\n",
    "end = timer()\n",
    "print(end - start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# list to append each successful tweet_id json Data\n",
    "df_lists=[]\n",
    "with open('tweet_json.txt') as file:\n",
    "    for tweet_json in file:\n",
    "        df_lists.append(json.loads(tweet_json))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create Dataframe from the list of json Data\n",
    "df_json=pd.DataFrame(df_lists,columns=['id','favorite_count','retweet_count','is_quote_status','retweeted'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>id</th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>is_quote_status</th>\n",
       "      <th>retweeted</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>892420643555336193</td>\n",
       "      <td>33835</td>\n",
       "      <td>7015</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>892177421306343426</td>\n",
       "      <td>29351</td>\n",
       "      <td>5302</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>22070</td>\n",
       "      <td>3483</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>36962</td>\n",
       "      <td>7229</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>35338</td>\n",
       "      <td>7768</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   id  favorite_count  retweet_count  is_quote_status  \\\n",
       "0  892420643555336193           33835           7015            False   \n",
       "1  892177421306343426           29351           5302            False   \n",
       "2  891815181378084864           22070           3483            False   \n",
       "3  891689557279858688           36962           7229            False   \n",
       "4  891327558926688256           35338           7768            False   \n",
       "\n",
       "   retweeted  \n",
       "0      False  \n",
       "1      False  \n",
       "2      False  \n",
       "3      False  \n",
       "4      False  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_json.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Dear Reviewer** <br>\n",
    "I would have preferred the below approach in querying the Twitter API because it was a solution inspired by the approach we were taught in The Data Gathering phase of this module and i find the approach to be more effective and   comfy with (which worked incredibly well) as opposed to writing the json data to a text file, so in this light ,I'm appealing to you to help explain  why we were required to write to a .txt file when the below approach could be taken or any other approach one could think of."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "892420643555336193 success\n",
      "892177421306343426 success\n",
      "891815181378084864 success\n",
      "891689557279858688 success\n",
      "891327558926688256 success\n",
      "891087950875897856 success\n",
      "890971913173991426 success\n",
      "890729181411237888 success\n",
      "890609185150312448 success\n",
      "890240255349198849 success\n",
      "890006608113172480 success\n",
      "889880896479866881 success\n",
      "889665388333682689 success\n",
      "889638837579907072 success\n",
      "889531135344209921 success\n",
      "889278841981685760 success\n",
      "888917238123831296 success\n",
      "888804989199671297 success\n",
      "888554962724278272 success\n",
      "888078434458587136 success\n",
      "887705289381826560 success\n",
      "887517139158093824 success\n",
      "887473957103951883 success\n",
      "887343217045368832 success\n",
      "887101392804085760 success\n",
      "886983233522544640 success\n",
      "886736880519319552 success\n",
      "886680336477933568 success\n",
      "886366144734445568 success\n",
      "886267009285017600 success\n",
      "886258384151887873 success\n",
      "886054160059072513 success\n",
      "885984800019947520 success\n",
      "885528943205470208 success\n",
      "885518971528720385 success\n",
      "885311592912609280 success\n",
      "885167619883638784 success\n",
      "884925521741709313 success\n",
      "884876753390489601 success\n",
      "884562892145688576 success\n",
      "884441805382717440 success\n",
      "884247878851493888 success\n",
      "884162670584377345 success\n",
      "883838122936631299 success\n",
      "883482846933004288 success\n",
      "883360690899218434 success\n",
      "883117836046086144 success\n",
      "882992080364220416 success\n",
      "882762694511734784 success\n",
      "882627270321602560 success\n",
      "882268110199369728 success\n",
      "882045870035918850 success\n",
      "881906580714921986 success\n",
      "881666595344535552 success\n",
      "881633300179243008 success\n",
      "881536004380872706 success\n",
      "881268444196462592 success\n",
      "880935762899988482 success\n",
      "880872448815771648 success\n",
      "880465832366813184 success\n",
      "880221127280381952 success\n",
      "880095782870896641 success\n",
      "879862464715927552 success\n",
      "879674319642796034 success\n",
      "879492040517615616 success\n",
      "879415818425184262 success\n",
      "879376492567855104 success\n",
      "879130579576475649 success\n",
      "879050749262655488 success\n",
      "879008229531029506 success\n",
      "878776093423087618 success\n",
      "878604707211726852 success\n",
      "878404777348136964 success\n",
      "878316110768087041 success\n",
      "878281511006478336 success\n",
      "878057613040115712 success\n",
      "877736472329191424 success\n",
      "877611172832227328 success\n",
      "877556246731214848 success\n",
      "877316821321428993 success\n",
      "877201837425926144 success\n",
      "876838120628539392 success\n",
      "876537666061221889 success\n",
      "876484053909872640 success\n",
      "876120275196170240 success\n",
      "875747767867523072 success\n",
      "875144289856114688 success\n",
      "875097192612077568 success\n",
      "875021211251597312 success\n",
      "874680097055178752 success\n",
      "874434818259525634 success\n",
      "874296783580663808 success\n",
      "874057562936811520 success\n",
      "874012996292530176 success\n",
      "873580283840344065 success\n",
      "873337748698140672 success\n",
      "873213775632977920 success\n",
      "872967104147763200 success\n",
      "872820683541237760 success\n",
      "872620804844003328 success\n",
      "872486979161796608 success\n",
      "872122724285648897 success\n",
      "871879754684805121 success\n",
      "871762521631449091 success\n",
      "871515927908634625 success\n",
      "871166179821445120 success\n",
      "871102520638267392 success\n",
      "871032628920680449 success\n",
      "870804317367881728 success\n",
      "870726314365509632 success\n",
      "870656317836468226 success\n",
      "870374049280663552 success\n",
      "870308999962521604 success\n",
      "870063196459192321 success\n",
      "869772420881756160 success\n",
      "869702957897576449 success\n",
      "869596645499047938 success\n",
      "869227993411051520 success\n",
      "868880397819494401 success\n",
      "868639477480148993 success\n",
      "868622495443632128 success\n",
      "868552278524837888 success\n",
      "867900495410671616 success\n",
      "867774946302451713 success\n",
      "867421006826221569 success\n",
      "867072653475098625 success\n",
      "867051520902168576 success\n",
      "866720684873056260 success\n",
      "866686824827068416 success\n",
      "866450705531457537 success\n",
      "866334964761202691 success\n",
      "866094527597207552 success\n",
      "865718153858494464 success\n",
      "865359393868664832 success\n",
      "865006731092295680 success\n",
      "864873206498414592 success\n",
      "864279568663928832 success\n",
      "864197398364647424 success\n",
      "863907417377173506 success\n",
      "863553081350529029 success\n",
      "863471782782697472 success\n",
      "863432100342583297 success\n",
      "863427515083354112 success\n",
      "863079547188785154 success\n",
      "863062471531167744 success\n",
      "862831371563274240 success\n",
      "862722525377298433 success\n",
      "862457590147678208 success\n",
      "862096992088072192 success\n",
      "861383897657036800 success\n",
      "861288531465048066 success\n",
      "861005113778896900 success\n",
      "860981674716409858 success\n",
      "860924035999428608 success\n",
      "860563773140209665 success\n",
      "860524505164394496 success\n",
      "860276583193509888 success\n",
      "860184849394610176 success\n",
      "860177593139703809 success\n",
      "859924526012018688 success\n",
      "859851578198683649 success\n",
      "859607811541651456 success\n",
      "859196978902773760 success\n",
      "859074603037188101 success\n",
      "858860390427611136 success\n",
      "858843525470990336 success\n",
      "858471635011153920 success\n",
      "858107933456039936 success\n",
      "857989990357356544 success\n",
      "857746408056729600 success\n",
      "857393404942143489 success\n",
      "857263160327368704 success\n",
      "857214891891077121 success\n",
      "857062103051644929 success\n",
      "857029823797047296 success\n",
      "856543823941562368 success\n",
      "856526610513747968 success\n",
      "856288084350160898 success\n",
      "856282028240666624 success\n",
      "855862651834028034 success\n",
      "855860136149123072 success\n",
      "855857698524602368 success\n",
      "855851453814013952 success\n",
      "855818117272018944 success\n",
      "855459453768019968 success\n",
      "855245323840757760 success\n",
      "855138241867124737 success\n",
      "854732716440526848 success\n",
      "854482394044301312 success\n",
      "854365224396361728 success\n",
      "854120357044912130 success\n",
      "854010172552949760 success\n",
      "853760880890318849 success\n",
      "853639147608842240 success\n",
      "853299958564483072 success\n",
      "852936405516943360 success\n",
      "852912242202992640 success\n",
      "852672615818899456 success\n",
      "852553447878664193 success\n",
      "852311364735569921 success\n",
      "852226086759018497 success\n",
      "852189679701164033 success\n",
      "851591660324737024 success\n",
      "851464819735769094 success\n",
      "851224888060895234 success\n",
      "850753642995093505 success\n",
      "850380195714523136 success\n",
      "850333567704068097 success\n",
      "850145622816686080 success\n",
      "850019790995546112 success\n",
      "849776966551130114 success\n",
      "849668094696017920 success\n",
      "849412302885593088 success\n",
      "849336543269576704 success\n",
      "849051919805034497 success\n",
      "848690551926992896 success\n",
      "848324959059550208 success\n",
      "848213670039564288 success\n",
      "848212111729840128 success\n",
      "847978865427394560 success\n",
      "847971574464610304 success\n",
      "847962785489326080 success\n",
      "847842811428974592 success\n",
      "847617282490613760 success\n",
      "847606175596138505 success\n",
      "847251039262605312 success\n",
      "847157206088847362 success\n",
      "847116187444137987 success\n",
      "846874817362120707 success\n",
      "846514051647705089 success\n",
      "846505985330044928 success\n",
      "846153765933735936 success\n",
      "846139713627017216 success\n",
      "846042936437604353 success\n",
      "845812042753855489 success\n",
      "845677943972139009 success\n",
      "845397057150107648 success\n",
      "845306882940190720 success\n",
      "845098359547420673 success\n",
      "844979544864018432 success\n",
      "844973813909606400 success\n",
      "844580511645339650 success\n",
      "844223788422217728 success\n",
      "843981021012017153 success\n",
      "843856843873095681 success\n",
      "843604394117681152 success\n",
      "843235543001513987 success\n",
      "842846295480000512 success\n",
      "842765311967449089 success\n",
      "842535590457499648 success\n",
      "842163532590374912 success\n",
      "842115215311396866 success\n",
      "841833993020538882 success\n",
      "841680585030541313 success\n",
      "841439858740625411 success\n",
      "841320156043304961 success\n",
      "841314665196081154 success\n",
      "841077006473256960 success\n",
      "840761248237133825 success\n",
      "840728873075638272 success\n",
      "840698636975636481 success\n",
      "840696689258311684 success\n",
      "840632337062862849 success\n",
      "840370681858686976 success\n",
      "840268004936019968 success\n",
      "839990271299457024 success\n",
      "839549326359670784 success\n",
      "839290600511926273 success\n",
      "839239871831150596 success\n",
      "838952994649550848 success\n",
      "838921590096166913 success\n",
      "838916489579200512 success\n",
      "838831947270979586 success\n",
      "838561493054533637 success\n",
      "838476387338051585 success\n",
      "838201503651401729 success\n",
      "838150277551247360 success\n",
      "838085839343206401 success\n",
      "838083903487373313 success\n",
      "837820167694528512 success\n",
      "837482249356513284 success\n",
      "837471256429613056 success\n",
      "837110210464448512 success\n",
      "836989968035819520 success\n",
      "836753516572119041 success\n",
      "836677758902222849 success\n",
      "836648853927522308 success\n",
      "836397794269200385 success\n",
      "836380477523124226 success\n",
      "836260088725786625 success\n",
      "836001077879255040 success\n",
      "835685285446955009 success\n",
      "835574547218894849 success\n",
      "835536468978302976 success\n",
      "835309094223372289 success\n",
      "835297930240217089 success\n",
      "835264098648616962 success\n",
      "835246439529840640 success\n",
      "835172783151792128 success\n",
      "835152434251116546 success\n",
      "834931633769889797 success\n",
      "834786237630337024 success\n",
      "834574053763584002 success\n",
      "834477809192075265 success\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "834458053273591808 success\n",
      "834209720923721728 success\n",
      "834167344700198914 success\n",
      "834089966724603904 success\n",
      "834086379323871233 success\n",
      "833863086058651648 success\n",
      "833826103416520705 success\n",
      "833732339549220864 success\n",
      "833722901757046785 success\n",
      "833479644947025920 success\n",
      "833124694597443584 success\n",
      "832998151111966721 success\n",
      "832769181346996225 success\n",
      "832757312314028032 success\n",
      "832682457690300417 success\n",
      "832645525019123713 success\n",
      "832636094638288896 success\n",
      "832397543355072512 success\n",
      "832369877331693569 success\n",
      "832273440279240704 success\n",
      "832215909146226688 success\n",
      "832215726631055365 success\n",
      "832088576586297345 success\n",
      "832040443403784192 success\n",
      "832032802820481025 success\n",
      "831939777352105988 success\n",
      "831926988323639298 success\n",
      "831911600680497154 success\n",
      "831670449226514432 success\n",
      "831650051525054464 success\n",
      "831552930092285952 success\n",
      "831322785565769729 success\n",
      "831315979191906304 success\n",
      "831309418084069378 success\n",
      "831262627380748289 success\n",
      "830956169170665475 success\n",
      "830583320585068544 success\n",
      "830173239259324417 success\n",
      "830097400375152640 success\n",
      "829878982036299777 success\n",
      "829861396166877184 success\n",
      "829501995190984704 success\n",
      "829449946868879360 success\n",
      "829141528400556032 success\n",
      "829011960981237760 success\n",
      "828801551087042563 success\n",
      "828770345708580865 success\n",
      "828708714936930305 success\n",
      "828650029636317184 success\n",
      "828409743546925057 success\n",
      "828408677031882754 success\n",
      "828381636999917570 success\n",
      "828376505180889089 success\n",
      "828372645993398273 success\n",
      "828361771580813312 success\n",
      "828046555563323392 success\n",
      "828011680017821696 success\n",
      "827933404142436356 success\n",
      "827653905312006145 success\n",
      "827600520311402496 success\n",
      "827324948884643840 success\n",
      "827199976799354881 success\n",
      "826958653328592898 success\n",
      "826848821049180160 success\n",
      "826615380357632002 success\n",
      "826598799820865537 success\n",
      "826598365270007810 success\n",
      "826476773533745153 success\n",
      "826240494070030336 success\n",
      "826204788643753985 success\n",
      "826115272272650244 success\n",
      "825876512159186944 success\n",
      "825829644528148480 success\n",
      "825535076884762624 success\n",
      "825147591692263424 success\n",
      "825120256414846976 success\n",
      "825026590719483904 success\n",
      "824796380199809024 success\n",
      "824775126675836928 success\n",
      "824663926340194305 success\n",
      "824325613288833024 success\n",
      "824297048279236611 success\n",
      "824025158776213504 success\n",
      "823939628516474880 success\n",
      "823719002937630720 success\n",
      "823699002998870016 success\n",
      "823581115634085888 success\n",
      "823333489516937216 success\n",
      "823322678127919110 success\n",
      "823269594223824897 success\n",
      "822975315408461824 success\n",
      "822872901745569793 success\n",
      "822859134160621569 success\n",
      "822647212903690241 success\n",
      "822610361945911296 success\n",
      "822489057087389700 success\n",
      "822462944365645825 success\n",
      "822244816520155136 success\n",
      "822163064745328640 success\n",
      "821886076407029760 success\n",
      "821813639212650496 success\n",
      "821765923262631936 success\n",
      "821522889702862852 success\n",
      "821421320206483457 success\n",
      "821407182352777218 success\n",
      "821153421864615936 success\n",
      "821149554670182400 success\n",
      "821107785811234820 success\n",
      "821044531881721856 success\n",
      "820837357901512704 success\n",
      "820749716845686786 success\n",
      "820690176645140481 success\n",
      "820494788566847489 success\n",
      "820446719150292993 success\n",
      "820314633777061888 success\n",
      "820078625395449857 success\n",
      "820013781606658049 success\n",
      "819952236453363712 success\n",
      "819924195358416896 success\n",
      "819711362133872643 success\n",
      "819588359383371776 success\n",
      "819347104292290561 success\n",
      "819238181065359361 success\n",
      "819227688460238848 success\n",
      "819015337530290176 success\n",
      "819015331746349057 success\n",
      "819006400881917954 success\n",
      "819004803107983360 success\n",
      "818646164899774465 success\n",
      "818627210458333184 success\n",
      "818614493328580609 success\n",
      "818588835076603904 success\n",
      "818536468981415936 success\n",
      "818307523543449600 success\n",
      "818259473185828864 success\n",
      "818145370475810820 success\n",
      "817908911860748288 success\n",
      "817827839487737858 success\n",
      "817777686764523521 success\n",
      "817536400337801217 success\n",
      "817502432452313088 success\n",
      "817423860136083457 success\n",
      "817415592588222464 success\n",
      "817181837579653120 success\n",
      "817171292965273600 success\n",
      "817120970343411712 success\n",
      "817056546584727552 success\n",
      "816829038950027264 success\n",
      "816816676327063552 success\n",
      "816697700272001025 success\n",
      "816450570814898180 success\n",
      "816336735214911488 success\n",
      "816091915477250048 success\n",
      "816062466425819140 success\n",
      "816014286006976512 success\n",
      "815990720817401858 success\n",
      "815966073409433600 success\n",
      "815745968457060357 success\n",
      "815736392542261248 success\n",
      "815639385530101762 success\n",
      "815390420867969024 success\n",
      "814986499976527872 success\n",
      "814638523311648768 success\n",
      "814578408554463233 success\n",
      "814530161257443328 success\n",
      "814153002265309185 success\n",
      "813944609378369540 success\n",
      "813910438903693312 success\n",
      "813812741911748608 success\n",
      "813800681631023104 success\n",
      "813217897535406080 success\n",
      "813202720496779264 success\n",
      "813187593374461952 success\n",
      "813172488309972993 success\n",
      "813157409116065792 success\n",
      "813142292504645637 success\n",
      "813130366689148928 success\n",
      "813127251579564032 success\n",
      "813112105746448384 success\n",
      "813096984823349248 success\n",
      "813081950185472002 success\n",
      "813066809284972545 success\n",
      "813051746834595840 success\n",
      "812781120811126785 success\n",
      "812709060537683968 success\n",
      "812503143955202048 success\n",
      "812466873996607488 success\n",
      "812372279581671427 success\n",
      "811985624773361665 success\n",
      "811744202451197953 success\n",
      "811647686436880384 success\n",
      "811627233043480576 success\n",
      "811386762094317568 success\n",
      "810984652412424192 success\n",
      "810896069567610880 success\n",
      "810657578271330305 success\n",
      "810284430598270976 success\n",
      "810254108431155201 success\n",
      "809920764300447744 success\n",
      "809808892968534016 success\n",
      "809448704142938112 success\n",
      "809220051211603969 success\n",
      "809084759137812480 success\n",
      "808838249661788160 success\n",
      "808733504066486276 success\n",
      "808501579447930884 success\n",
      "808344865868283904 success\n",
      "808134635716833280 success\n",
      "808106460588765185 success\n",
      "808001312164028416 success\n",
      "807621403335917568 success\n",
      "807106840509214720 success\n",
      "807059379405148160 success\n",
      "807010152071229440 success\n",
      "806629075125202948 success\n",
      "806620845233815552 success\n",
      "806576416489959424 success\n",
      "806542213899489280 success\n",
      "806242860592926720 success\n",
      "806219024703037440 success\n",
      "805958939288408065 success\n",
      "805932879469572096 success\n",
      "805826884734976000 success\n",
      "805823200554876929 success\n",
      "805520635690676224 success\n",
      "805487436403003392 success\n",
      "805207613751304193 success\n",
      "804738756058218496 success\n",
      "804475857670639616 success\n",
      "804413760345620481 success\n",
      "804026241225523202 success\n",
      "803773340896923648 success\n",
      "803692223237865472 success\n",
      "803638050916102144 success\n",
      "803380650405482500 success\n",
      "803321560782307329 success\n",
      "803276597545603072 success\n",
      "802952499103731712 success\n",
      "802624713319034886 success\n",
      "802600418706604034 success\n",
      "802572683846291456 success\n",
      "802323869084381190 success\n",
      "802265048156610565 success\n",
      "802239329049477120 success\n",
      "802185808107208704 success\n",
      "801958328846974976 success\n",
      "801854953262350336 success\n",
      "801538201127157760 success\n",
      "801285448605831168 success\n",
      "801167903437357056 success\n",
      "801127390143516673 success\n",
      "801115127852503040 success\n",
      "800859414831898624 success\n",
      "800855607700029440 success\n",
      "800751577355128832 success\n",
      "800513324630806528 success\n",
      "800459316964663297 success\n",
      "800443802682937345 success\n",
      "800388270626521089 success\n",
      "800188575492947969 success\n",
      "800141422401830912 success\n",
      "800018252395122689 success\n",
      "799774291445383169 success\n",
      "799757965289017345 success\n",
      "799422933579902976 success\n",
      "799308762079035393 success\n",
      "799297110730567681 success\n",
      "799063482566066176 success\n",
      "798933969379225600 success\n",
      "798925684722855936 success\n",
      "798705661114773508 success\n",
      "798701998996647937 success\n",
      "798697898615730177 success\n",
      "798694562394996736 success\n",
      "798686750113755136 success\n",
      "798682547630837760 success\n",
      "798673117451325440 success\n",
      "798665375516884993 success\n",
      "798644042770751489 success\n",
      "798628517273620480 success\n",
      "798585098161549313 success\n",
      "798576900688019456 success\n",
      "798340744599797760 success\n",
      "798209839306514432 success\n",
      "797971864723324932 success\n",
      "797545162159308800 success\n",
      "797236660651966464 success\n",
      "797165961484890113 success\n",
      "796904159865868288 success\n",
      "796865951799083009 success\n",
      "796759840936919040 success\n",
      "796563435802726400 success\n",
      "796484825502875648 success\n",
      "796387464403357696 success\n",
      "796177847564038144 success\n",
      "796149749086875649 success\n",
      "796125600683540480 success\n",
      "796116448414461957 success\n",
      "796080075804475393 success\n",
      "796031486298386433 success\n",
      "795464331001561088 success\n",
      "795400264262053889 success\n",
      "795076730285391872 success\n",
      "794983741416415232 success\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "794926597468000259 success\n",
      "794355576146903043 success\n",
      "794332329137291264 success\n",
      "794205286408003585 success\n",
      "793962221541933056 success\n",
      "793845145112371200 success\n",
      "793614319594401792 success\n",
      "793601777308463104 success\n",
      "793500921481273345 success\n",
      "793286476301799424 success\n",
      "793271401113350145 success\n",
      "793256262322548741 success\n",
      "793241302385262592 success\n",
      "793226087023144960 success\n",
      "793210959003287553 success\n",
      "793195938047070209 success\n",
      "793180763617361921 success\n",
      "793165685325201412 success\n",
      "793150605191548928 success\n",
      "793135492858580992 success\n",
      "793120401413079041 success\n",
      "792913359805018113 success\n",
      "792883833364439040 success\n",
      "792773781206999040 success\n",
      "792394556390137856 success\n",
      "792050063153438720 success\n",
      "791821351946420224 success\n",
      "791784077045166082 success\n",
      "791780927877898241 success\n",
      "791774931465953280 success\n",
      "791672322847637504 success\n",
      "791406955684368384 success\n",
      "791312159183634433 success\n",
      "791026214425268224 success\n",
      "790987426131050500 success\n",
      "790946055508652032 success\n",
      "790723298204217344 success\n",
      "790698755171364864 success\n",
      "790581949425475584 success\n",
      "790337589677002753 success\n",
      "790277117346975746 success\n",
      "790227638568808452 success\n",
      "789986466051088384 success\n",
      "789960241177853952 success\n",
      "789903600034189313 success\n",
      "789628658055020548 success\n",
      "789599242079838210 success\n",
      "789530877013393408 success\n",
      "789314372632018944 success\n",
      "789280767834746880 success\n",
      "789268448748703744 success\n",
      "789137962068021249 success\n",
      "788908386943430656 success\n",
      "788765914992902144 success\n",
      "788552643979468800 success\n",
      "788412144018661376 success\n",
      "788178268662984705 success\n",
      "788150585577050112 success\n",
      "788070120937619456 success\n",
      "788039637453406209 success\n",
      "787810552592695296 success\n",
      "787717603741622272 success\n",
      "787397959788929025 success\n",
      "787322443945877504 success\n",
      "787111942498508800 success\n",
      "786963064373534720 success\n",
      "786729988674449408 success\n",
      "786709082849828864 success\n",
      "786664955043049472 success\n",
      "786595970293370880 success\n",
      "786363235746385920 success\n",
      "786286427768250368 success\n",
      "786233965241827333 success\n",
      "786051337297522688 success\n",
      "786036967502913536 success\n",
      "785927819176054784 success\n",
      "785872687017132033 success\n",
      "785639753186217984 success\n",
      "785533386513321988 success\n",
      "785515384317313025 success\n",
      "785264754247995392 success\n",
      "785170936622350336 success\n",
      "784826020293709826 success\n",
      "784517518371221505 success\n",
      "784431430411685888 success\n",
      "784183165795655680 success\n",
      "784057939640352768 success\n",
      "783839966405230592 success\n",
      "783821107061198850 success\n",
      "783695101801398276 success\n",
      "783466772167098368 success\n",
      "783391753726550016 success\n",
      "783347506784731136 success\n",
      "783334639985389568 success\n",
      "783085703974514689 success\n",
      "782969140009107456 success\n",
      "782747134529531904 success\n",
      "782722598790725632 success\n",
      "782598640137187329 success\n",
      "782305867769217024 success\n",
      "782021823840026624 success\n",
      "781955203444699136 success\n",
      "781661882474196992 success\n",
      "781655249211752448 success\n",
      "781524693396357120 success\n",
      "781308096455073793 success\n",
      "781251288990355457 success\n",
      "781163403222056960 success\n",
      "780931614150983680 success\n",
      "780858289093574656 success\n",
      "780800785462489090 success\n",
      "780601303617732608 success\n",
      "780543529827336192 success\n",
      "780496263422808064 success\n",
      "780476555013349377 success\n",
      "780459368902959104 success\n",
      "780192070812196864 success\n",
      "780092040432480260 success\n",
      "780074436359819264 success\n",
      "779834332596887552 success\n",
      "779377524342161408 success\n",
      "779124354206535695 success\n",
      "779056095788752897 success\n",
      "778990705243029504 success\n",
      "778774459159379968 success\n",
      "778764940568104960 success\n",
      "778748913645780993 success\n",
      "778650543019483137 success\n",
      "778624900596654080 success\n",
      "778408200802557953 success\n",
      "778396591732486144 success\n",
      "778383385161035776 success\n",
      "778286810187399168 success\n",
      "778039087836069888 success\n",
      "778027034220126208 success\n",
      "777953400541634568 success\n",
      "777885040357281792 success\n",
      "777684233540206592 success\n",
      "777641927919427584 success\n",
      "777621514455814149 success\n",
      "777189768882946048 success\n",
      "776819012571455488 success\n",
      "776813020089548800 success\n",
      "776477788987613185 success\n",
      "776249906839351296 success\n",
      "776218204058357768 success\n",
      "776201521193218049 success\n",
      "776113305656188928 success\n",
      "776088319444877312 success\n",
      "775898661951791106 success\n",
      "775842724423557120 success\n",
      "775733305207554048 success\n",
      "775729183532220416 success\n",
      "775364825476165632 success\n",
      "775350846108426240 success\n",
      "775085132600442880 success\n",
      "774757898236878852 success\n",
      "774639387460112384 success\n",
      "774314403806253056 success\n",
      "773985732834758656 success\n",
      "773922284943896577 success\n",
      "773704687002451968 success\n",
      "773670353721753600 success\n",
      "773547596996571136 success\n",
      "773336787167145985 success\n",
      "773308824254029826 success\n",
      "773247561583001600 success\n",
      "773191612633579521 success\n",
      "772877495989305348 success\n",
      "772826264096874500 success\n",
      "772615324260794368 success\n",
      "772581559778025472 success\n",
      "772193107915964416 success\n",
      "772152991789019136 success\n",
      "772117678702071809 success\n",
      "772114945936949249 success\n",
      "772102971039580160 success\n",
      "771908950375665664 success\n",
      "771770456517009408 success\n",
      "771500966810099713 success\n",
      "771380798096281600 success\n",
      "771171053431250945 success\n",
      "771136648247640064 success\n",
      "771102124360998913 success\n",
      "771014301343748096 success\n",
      "770787852854652928 success\n",
      "770772759874076672 success\n",
      "770655142660169732 success\n",
      "Rate limit reached. Sleeping for: 102\n",
      "770414278348247044 success\n",
      "770293558247038976 success\n",
      "770093767776997377 success\n",
      "770069151037685760 success\n",
      "769940425801170949 success\n",
      "769695466921623552 success\n",
      "769335591808995329 success\n",
      "769212283578875904 success\n",
      "768970937022709760 success\n",
      "768909767477751808 success\n",
      "768855141948723200 success\n",
      "768609597686943744 success\n",
      "768596291618299904 success\n",
      "768554158521745409 success\n",
      "768473857036525572 success\n",
      "768193404517830656 success\n",
      "767884188863397888 success\n",
      "767754930266464257 success\n",
      "767500508068192258 success\n",
      "767191397493538821 success\n",
      "767122157629476866 success\n",
      "766793450729734144 success\n",
      "766714921925144576 success\n",
      "766693177336135680 success\n",
      "766423258543644672 success\n",
      "766313316352462849 success\n",
      "766078092750233600 success\n",
      "766069199026450432 success\n",
      "766008592277377025 success\n",
      "765719909049503744 success\n",
      "765669560888528897 success\n",
      "765395769549590528 success\n",
      "765371061932261376 success\n",
      "765222098633691136 success\n",
      "764857477905154048 success\n",
      "764259802650378240 success\n",
      "763956972077010945 success\n",
      "763837565564780549 success\n",
      "763183847194451968 success\n",
      "763167063695355904 success\n",
      "763103485927849985 success\n",
      "762699858130116608 success\n",
      "762471784394268675 success\n",
      "762464539388485633 success\n",
      "762316489655476224 success\n",
      "762035686371364864 success\n",
      "761976711479193600 success\n",
      "761750502866649088 success\n",
      "761745352076779520 success\n",
      "761672994376806400 success\n",
      "761599872357261312 success\n",
      "761371037149827077 success\n",
      "761334018830917632 success\n",
      "761292947749015552 success\n",
      "761227390836215808 success\n",
      "761004547850530816 success\n",
      "760893934457552897 success\n",
      "760656994973933572 success\n",
      "760641137271070720 success\n",
      "760539183865880579 success\n",
      "760521673607086080 success\n",
      "760290219849637889 success\n",
      "760252756032651264 success\n",
      "760190180481531904 success\n",
      "760153949710192640 success\n",
      "759943073749200896 success\n",
      "759846353224826880 success\n",
      "759793422261743616 success\n",
      "759557299618865152 success\n",
      "759447681597108224 success\n",
      "759446261539934208 success\n",
      "759197388317847553 success\n",
      "759159934323924993 success\n",
      "759099523532779520 success\n",
      "759047813560868866 success\n",
      "758854675097526272 success\n",
      "758828659922702336 success\n",
      "758740312047005698 success\n",
      "758474966123810816 success\n",
      "758467244762497024 success\n",
      "758405701903519748 success\n",
      "758355060040593408 success\n",
      "758099635764359168 success\n",
      "758041019896193024 success\n",
      "757741869644341248 success\n",
      "757729163776290825 success\n",
      "757725642876129280 success\n",
      "757611664640446465 success\n",
      "757597904299253760 success\n",
      "757596066325864448 success\n",
      "757400162377592832 success\n",
      "757393109802180609 success\n",
      "757354760399941633 success\n",
      "756998049151549440 success\n",
      "756939218950160384 success\n",
      "756651752796094464 success\n",
      "756526248105566208 success\n",
      "756303284449767430 success\n",
      "756288534030475264 success\n",
      "756275833623502848 success\n",
      "755955933503782912 success\n",
      "755206590534418437 success\n",
      "755110668769038337 success\n",
      "754874841593970688 success\n",
      "754856583969079297 success\n",
      "754747087846248448 success\n",
      "754482103782404096 success\n",
      "754449512966619136 success\n",
      "754120377874386944 success\n",
      "753655901052166144 success\n",
      "753420520834629632 success\n",
      "753398408988139520 success\n",
      "753375668877008896 success\n",
      "753298634498793472 success\n",
      "753294487569522689 success\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "753039830821511168 success\n",
      "753026973505581056 success\n",
      "752932432744185856 success\n",
      "752917284578922496 success\n",
      "752701944171524096 success\n",
      "752682090207055872 success\n",
      "752660715232722944 success\n",
      "752568224206688256 success\n",
      "752519690950500352 success\n",
      "752334515931054080 success\n",
      "752309394570878976 success\n",
      "752173152931807232 success\n",
      "751950017322246144 success\n",
      "751937170840121344 success\n",
      "751830394383790080 success\n",
      "751793661361422336 success\n",
      "751598357617971201 success\n",
      "751583847268179968 success\n",
      "751538714308972544 success\n",
      "751456908746354688 success\n",
      "751251247299190784 success\n",
      "751205363882532864 success\n",
      "751132876104687617 success\n",
      "750868782890057730 success\n",
      "750719632563142656 success\n",
      "750506206503038976 success\n",
      "750429297815552001 success\n",
      "750383411068534784 success\n",
      "750381685133418496 success\n",
      "750147208377409536 success\n",
      "750132105863102464 success\n",
      "750117059602808832 success\n",
      "750101899009982464 success\n",
      "750086836815486976 success\n",
      "750071704093859840 success\n",
      "750056684286914561 success\n",
      "750041628174217216 success\n",
      "750026558547456000 success\n",
      "750011400160841729 success\n",
      "749996283729883136 success\n",
      "749981277374128128 success\n",
      "749774190421639168 success\n",
      "749417653287129088 success\n",
      "749403093750648834 success\n",
      "749395845976588288 success\n",
      "749317047558017024 success\n",
      "749075273010798592 success\n",
      "749064354620928000 success\n",
      "749036806121881602 success\n",
      "748977405889503236 success\n",
      "748932637671223296 success\n",
      "748705597323898880 success\n",
      "748699167502000129 success\n",
      "748692773788876800 success\n",
      "748575535303884801 success\n",
      "748568946752774144 success\n",
      "748346686624440324 success\n",
      "748337862848962560 success\n",
      "748324050481647620 success\n",
      "748307329658011649 success\n",
      "748220828303695873 success\n",
      "747963614829678593 success\n",
      "747933425676525569 success\n",
      "747885874273214464 success\n",
      "747844099428986880 success\n",
      "747816857231626240 success\n",
      "747651430853525504 success\n",
      "747648653817413632 success\n",
      "747600769478692864 success\n",
      "747594051852075008 success\n",
      "747512671126323200 success\n",
      "747461612269887489 success\n",
      "747439450712596480 success\n",
      "747242308580548608 success\n",
      "747219827526344708 success\n",
      "747204161125646336 success\n",
      "747103485104099331 success\n",
      "746906459439529985 success\n",
      "746872823977771008 success\n",
      "746818907684614144 success\n",
      "746790600704425984 success\n",
      "746757706116112384 success\n",
      "746726898085036033 success\n",
      "746542875601690625 success\n",
      "746521445350707200 success\n",
      "746507379341139972 success\n",
      "746369468511756288 success\n",
      "746131877086527488 success\n",
      "746056683365994496 success\n",
      "745789745784041472 success\n",
      "745712589599014916 success\n",
      "745433870967832576 success\n",
      "745422732645535745 success\n",
      "745314880350101504 success\n",
      "745074613265149952 success\n",
      "745057283344719872 success\n",
      "744995568523612160 success\n",
      "744971049620602880 success\n",
      "744709971296780288 success\n",
      "744334592493166593 success\n",
      "744234799360020481 success\n",
      "744223424764059648 success\n",
      "743980027717509120 success\n",
      "743895849529389061 success\n",
      "743835915802583040 success\n",
      "743609206067040256 success\n",
      "743595368194129920 success\n",
      "743545585370791937 success\n",
      "743510151680958465 success\n",
      "743253157753532416 success\n",
      "743222593470234624 success\n",
      "743210557239623680 success\n",
      "742534281772302336 success\n",
      "742528092657332225 success\n",
      "742465774154047488 success\n",
      "742423170473463808 success\n",
      "742385895052087300 success\n",
      "742161199639494656 success\n",
      "742150209887731712 success\n",
      "741793263812808706 success\n",
      "741743634094141440 success\n",
      "741438259667034112 success\n",
      "741303864243200000 success\n",
      "741099773336379392 success\n",
      "741067306818797568 success\n",
      "740995100998766593 success\n",
      "740711788199743490 success\n",
      "740699697422163968 success\n",
      "740676976021798912 success\n",
      "740373189193256964 success\n",
      "740365076218183684 success\n",
      "740359016048689152 success\n",
      "740214038584557568 success\n",
      "739979191639244800 success\n",
      "739932936087216128 success\n",
      "739844404073074688 success\n",
      "739623569819336705 success\n",
      "739606147276148736 success\n",
      "739544079319588864 success\n",
      "739485634323156992 success\n",
      "739238157791694849 success\n",
      "738891149612572673 success\n",
      "738885046782832640 success\n",
      "738883359779196928 success\n",
      "738537504001953792 success\n",
      "738402415918125056 success\n",
      "738184450748633089 success\n",
      "738166403467907072 success\n",
      "738156290900254721 success\n",
      "737826014890496000 success\n",
      "737800304142471168 success\n",
      "737678689543020544 success\n",
      "737445876994609152 success\n",
      "737322739594330112 success\n",
      "737310737551491075 success\n",
      "736736130620620800 success\n",
      "736392552031657984 success\n",
      "736365877722001409 success\n",
      "736225175608430592 success\n",
      "736010884653420544 success\n",
      "735991953473572864 success\n",
      "735648611367784448 success\n",
      "735635087207878657 success\n",
      "735274964362878976 success\n",
      "735256018284875776 success\n",
      "735137028879360001 success\n",
      "734912297295085568 success\n",
      "734787690684657664 success\n",
      "734776360183431168 success\n",
      "734559631394082816 success\n",
      "733828123016450049 success\n",
      "733822306246479872 success\n",
      "733482008106668032 success\n",
      "733460102733135873 success\n",
      "733109485275860992 success\n",
      "732732193018155009 success\n",
      "732726085725589504 success\n",
      "732585889486888962 success\n",
      "732375214819057664 success\n",
      "732005617171337216 success\n",
      "731285275100512256 success\n",
      "731156023742988288 success\n",
      "730924654643314689 success\n",
      "730573383004487680 success\n",
      "730427201120833536 success\n",
      "730211855403241472 success\n",
      "730196704625098752 success\n",
      "729854734790754305 success\n",
      "729838605770891264 success\n",
      "729823566028484608 success\n",
      "729463711119904772 success\n",
      "729113531270991872 success\n",
      "728986383096946689 success\n",
      "728760639972315136 success\n",
      "728751179681943552 success\n",
      "728653952833728512 success\n",
      "728409960103686147 success\n",
      "728387165835677696 success\n",
      "728046963732717569 success\n",
      "728035342121635841 success\n",
      "728015554473250816 success\n",
      "727685679342333952 success\n",
      "727644517743104000 success\n",
      "727524757080539137 success\n",
      "727314416056803329 success\n",
      "727286334147182592 success\n",
      "727175381690781696 success\n",
      "727155742655025152 success\n",
      "726935089318363137 success\n",
      "726887082820554753 success\n",
      "726828223124897792 success\n",
      "726224900189511680 success\n",
      "725842289046749185 success\n",
      "725786712245440512 success\n",
      "725729321944506368 success\n",
      "725458796924002305 success\n",
      "724983749226668032 success\n",
      "724771698126512129 success\n",
      "724405726123311104 success\n",
      "724049859469295616 success\n",
      "724046343203856385 success\n",
      "724004602748780546 success\n",
      "723912936180330496 success\n",
      "723688335806480385 success\n",
      "723673163800948736 success\n",
      "723179728551723008 success\n",
      "722974582966214656 success\n",
      "722613351520608256 success\n",
      "721503162398597120 success\n",
      "721001180231503872 success\n",
      "720785406564900865 success\n",
      "720775346191278080 success\n",
      "720415127506415616 success\n",
      "720389942216527872 success\n",
      "720340705894408192 success\n",
      "720059472081784833 success\n",
      "720043174954147842 success\n",
      "719991154352222208 success\n",
      "719704490224398336 success\n",
      "719551379208073216 success\n",
      "719367763014393856 success\n",
      "719339463458033665 success\n",
      "719332531645071360 success\n",
      "718971898235854848 success\n",
      "718939241951195136 success\n",
      "718631497683582976 success\n",
      "718613305783398402 success\n",
      "718540630683709445 success\n",
      "718460005985447936 success\n",
      "718454725339934721 success\n",
      "718246886998687744 success\n",
      "718234618122661888 success\n",
      "717841801130979328 success\n",
      "717790033953034240 success\n",
      "717537687239008257 success\n",
      "717428917016076293 success\n",
      "717421804990701568 success\n",
      "717047459982213120 success\n",
      "717009362452090881 success\n",
      "716802964044845056 success\n",
      "716791146589110272 success\n",
      "716730379797970944 success\n",
      "716447146686459905 success\n",
      "716439118184652801 success\n",
      "716285507865542656 success\n",
      "716080869887381504 success\n",
      "715928423106027520 success\n",
      "715758151270801409 success\n",
      "715733265223708672 success\n",
      "715704790270025728 success\n",
      "715696743237730304 success\n",
      "715680795826982913 success\n",
      "715360349751484417 success\n",
      "715342466308784130 success\n",
      "715220193576927233 success\n",
      "715200624753819648 success\n",
      "715009755312439296 success\n",
      "714982300363173890 success\n",
      "714962719905021952 success\n",
      "714957620017307648 success\n",
      "714631576617938945 success\n",
      "714606013974974464 success\n",
      "714485234495041536 success\n",
      "714258258790387713 success\n",
      "714251586676113411 success\n",
      "714214115368108032 success\n",
      "714141408463036416 success\n",
      "713919462244790272 success\n",
      "713909862279876608 success\n",
      "713900603437621249 success\n",
      "713761197720473600 success\n",
      "713411074226274305 success\n",
      "713177543487135744 success\n",
      "713175907180089344 success\n",
      "712809025985978368 success\n",
      "712717840512598017 success\n",
      "712668654853337088 success\n",
      "712438159032893441 success\n",
      "712309440758808576 success\n",
      "712097430750289920 success\n",
      "712092745624633345 success\n",
      "712085617388212225 success\n",
      "712065007010385924 success\n",
      "711998809858043904 success\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "711968124745228288 success\n",
      "711743778164514816 success\n",
      "711732680602345472 success\n",
      "711694788429553666 success\n",
      "711652651650457602 success\n",
      "711363825979756544 success\n",
      "711306686208872448 success\n",
      "711008018775851008 success\n",
      "710997087345876993 success\n",
      "710844581445812225 success\n",
      "710833117892898816 success\n",
      "710658690886586372 success\n",
      "710609963652087808 success\n",
      "710588934686908417 success\n",
      "710296729921429505 success\n",
      "710283270106132480 success\n",
      "710272297844797440 success\n",
      "710269109699739648 success\n",
      "710153181850935296 success\n",
      "710140971284037632 success\n",
      "710117014656950272 success\n",
      "709918798883774466 success\n",
      "709901256215666688 success\n",
      "709852847387627521 success\n",
      "709566166965075968 success\n",
      "709556954897764353 success\n",
      "709519240576036864 success\n",
      "709449600415961088 success\n",
      "709409458133323776 success\n",
      "709225125749587968 success\n",
      "709207347839836162 success\n",
      "709198395643068416 success\n",
      "709179584944730112 success\n",
      "709158332880297985 success\n",
      "709042156699303936 success\n",
      "708853462201716736 success\n",
      "708845821941387268 success\n",
      "708834316713893888 success\n",
      "708810915978854401 success\n",
      "708738143638450176 success\n",
      "708711088997666817 success\n",
      "708479650088034305 success\n",
      "708469915515297792 success\n",
      "708400866336894977 success\n",
      "708356463048204288 success\n",
      "708349470027751425 success\n",
      "708149363256774660 success\n",
      "708130923141795840 success\n",
      "708119489313951744 success\n",
      "708109389455101952 success\n",
      "708026248782585858 success\n",
      "707995814724026368 success\n",
      "707983188426153984 success\n",
      "707969809498152960 success\n",
      "707776935007539200 success\n",
      "707741517457260545 success\n",
      "707738799544082433 success\n",
      "707693576495472641 success\n",
      "707629649552134146 success\n",
      "707610948723478529 success\n",
      "707420581654872064 success\n",
      "707411934438625280 success\n",
      "707387676719185920 success\n",
      "707377100785885184 success\n",
      "707315916783140866 success\n",
      "707297311098011648 success\n",
      "707059547140169728 success\n",
      "707038192327901184 success\n",
      "707021089608753152 success\n",
      "707014260413456384 success\n",
      "706904523814649856 success\n",
      "706901761596989440 success\n",
      "706681918348251136 success\n",
      "706644897839910912 success\n",
      "706593038911545345 success\n",
      "706538006853918722 success\n",
      "706516534877929472 success\n",
      "706346369204748288 success\n",
      "706310011488698368 success\n",
      "706291001778950144 success\n",
      "706265994973601792 success\n",
      "706169069255446529 success\n",
      "706166467411222528 success\n",
      "706153300320784384 success\n",
      "705975130514706432 success\n",
      "705970349788291072 success\n",
      "705898680587526145 success\n",
      "705786532653883392 success\n",
      "705591895322394625 success\n",
      "705475953783398401 success\n",
      "705442520700944385 success\n",
      "705428427625635840 success\n",
      "705239209544720384 success\n",
      "705223444686888960 success\n",
      "705102439679201280 success\n",
      "705066031337840642 success\n",
      "704871453724954624 success\n",
      "704859558691414016 success\n",
      "704847917308362754 success\n",
      "704819833553219584 success\n",
      "704761120771465216 success\n",
      "704499785726889984 success\n",
      "704491224099647488 success\n",
      "704480331685040129 success\n",
      "704364645503647744 success\n",
      "704347321748819968 success\n",
      "704134088924532736 success\n",
      "704113298707505153 success\n",
      "704054845121142784 success\n",
      "703774238772166656 success\n",
      "703769065844768768 success\n",
      "703631701117943808 success\n",
      "703611486317502464 success\n",
      "703425003149250560 success\n",
      "703407252292673536 success\n",
      "703382836347330562 success\n",
      "703356393781329922 success\n",
      "703268521220972544 success\n",
      "703079050210877440 success\n",
      "703041949650034688 success\n",
      "702932127499816960 success\n",
      "702899151802126337 success\n",
      "702684942141153280 success\n",
      "702671118226825216 success\n",
      "702598099714314240 success\n",
      "702539513671897089 success\n",
      "702332542343577600 success\n",
      "702321140488925184 success\n",
      "702276748847800320 success\n",
      "702217446468493312 success\n",
      "701981390485725185 success\n",
      "701952816642965504 success\n",
      "701889187134500865 success\n",
      "701805642395348998 success\n",
      "701601587219795968 success\n",
      "701570477911896070 success\n",
      "701545186879471618 success\n",
      "701214700881756160 success\n",
      "700890391244103680 success\n",
      "700864154249383937 success\n",
      "700847567345688576 success\n",
      "700796979434098688 success\n",
      "700747788515020802 success\n",
      "700518061187723268 success\n",
      "700505138482569216 success\n",
      "700462010979500032 success\n",
      "700167517596164096 success\n",
      "700151421916807169 success\n",
      "700143752053182464 success\n",
      "700062718104104960 success\n",
      "700029284593901568 success\n",
      "700002074055016451 success\n",
      "699801817392291840 success\n",
      "699788877217865730 success\n",
      "699779630832685056 success\n",
      "699775878809702401 success\n",
      "699691744225525762 success\n",
      "699446877801091073 success\n",
      "699434518667751424 success\n",
      "699423671849451520 success\n",
      "699413908797464576 success\n",
      "699370870310113280 success\n",
      "699323444782047232 success\n",
      "699088579889332224 success\n",
      "699079609774645248 success\n",
      "699072405256409088 success\n",
      "699060279947165696 success\n",
      "699036661657767936 success\n",
      "698989035503689728 success\n",
      "698953797952008193 success\n",
      "698907974262222848 success\n",
      "698710712454139905 success\n",
      "698703483621523456 success\n",
      "698635131305795584 success\n",
      "698549713696649216 success\n",
      "698355670425473025 success\n",
      "698342080612007937 success\n",
      "698262614669991936 success\n",
      "698195409219559425 success\n",
      "698178924120031232 success\n",
      "697995514407682048 success\n",
      "697990423684476929 success\n",
      "697943111201378304 success\n",
      "697881462549430272 success\n",
      "697630435728322560 success\n",
      "697616773278015490 success\n",
      "697596423848730625 success\n",
      "697575480820686848 success\n",
      "697516214579523584 success\n",
      "697482927769255936 success\n",
      "697463031882764288 success\n",
      "697270446429966336 success\n",
      "697259378236399616 success\n",
      "697255105972801536 success\n",
      "697242256848379904 success\n",
      "696900204696625153 success\n",
      "696894894812565505 success\n",
      "696886256886657024 success\n",
      "696877980375769088 success\n",
      "696754882863349760 success\n",
      "696744641916489729 success\n",
      "696713835009417216 success\n",
      "696518437233913856 success\n",
      "696490539101908992 success\n",
      "696488710901260288 success\n",
      "696405997980676096 success\n",
      "696100768806522880 success\n",
      "695816827381944320 success\n",
      "695794761660297217 success\n",
      "695767669421768709 success\n",
      "695629776980148225 success\n",
      "695446424020918272 success\n",
      "695409464418041856 success\n",
      "695314793360662529 success\n",
      "695095422348574720 success\n",
      "695074328191332352 success\n",
      "695064344191721472 success\n",
      "695051054296211456 success\n",
      "694925794720792577 success\n",
      "694905863685980160 success\n",
      "694669722378485760 success\n",
      "694356675654983680 success\n",
      "694352839993344000 success\n",
      "694342028726001664 success\n",
      "694329668942569472 success\n",
      "694206574471057408 success\n",
      "694183373896572928 success\n",
      "694001791655137281 success\n",
      "693993230313091072 success\n",
      "693942351086120961 success\n",
      "693647888581312512 success\n",
      "693644216740769793 success\n",
      "693642232151285760 success\n",
      "693629975228977152 success\n",
      "693622659251335168 success\n",
      "693590843962331137 success\n",
      "693582294167244802 success\n",
      "693486665285931008 success\n",
      "693280720173801472 success\n",
      "693267061318012928 success\n",
      "693262851218264065 success\n",
      "693231807727280129 success\n",
      "693155686491000832 success\n",
      "693109034023534592 success\n",
      "693095443459342336 success\n",
      "692919143163629568 success\n",
      "692905862751522816 success\n",
      "692901601640583168 success\n",
      "692894228850999298 success\n",
      "692828166163931137 success\n",
      "692752401762250755 success\n",
      "692568918515392513 success\n",
      "692535307825213440 success\n",
      "692530551048294401 success\n",
      "692423280028966913 success\n",
      "692417313023332352 success\n",
      "692187005137076224 success\n",
      "692158366030913536 success\n",
      "692142790915014657 success\n",
      "692041934689402880 success\n",
      "692017291282812928 success\n",
      "691820333922455552 success\n",
      "691793053716221953 success\n",
      "691756958957883396 success\n",
      "691675652215414786 success\n",
      "691483041324204033 success\n",
      "691459709405118465 success\n",
      "691444869282295808 success\n",
      "691416866452082688 success\n",
      "691321916024623104 success\n",
      "691096613310316544 success\n",
      "691090071332753408 success\n",
      "690989312272396288 success\n",
      "690959652130045952 success\n",
      "690938899477221376 success\n",
      "690932576555528194 success\n",
      "690735892932222976 success\n",
      "690728923253055490 success\n",
      "690690673629138944 success\n",
      "690649993829576704 success\n",
      "690607260360429569 success\n",
      "690597161306841088 success\n",
      "690400367696297985 success\n",
      "690374419777196032 success\n",
      "690360449368465409 success\n",
      "690348396616552449 success\n",
      "690248561355657216 success\n",
      "690021994562220032 success\n",
      "690015576308211712 success\n",
      "690005060500217858 success\n",
      "689999384604450816 success\n",
      "689993469801164801 success\n",
      "689977555533848577 success\n",
      "689905486972461056 success\n",
      "689877686181715968 success\n",
      "689835978131935233 success\n",
      "689661964914655233 success\n",
      "689659372465688576 success\n",
      "689623661272240129 success\n",
      "689599056876867584 success\n",
      "689557536375177216 success\n",
      "689517482558820352 success\n",
      "689289219123089408 success\n",
      "689283819090870273 success\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "689280876073582592 success\n",
      "689275259254616065 success\n",
      "689255633275777024 success\n",
      "689154315265683456 success\n",
      "689143371370250240 success\n",
      "688916208532455424 success\n",
      "688908934925697024 success\n",
      "688898160958271489 success\n",
      "688894073864884227 success\n",
      "688828561667567616 success\n",
      "688804835492233216 success\n",
      "688789766343622656 success\n",
      "688547210804498433 success\n",
      "688519176466644993 success\n",
      "688385280030670848 success\n",
      "688211956440801280 success\n",
      "688179443353796608 success\n",
      "688116655151435777 success\n",
      "688064179421470721 success\n",
      "687841446767013888 success\n",
      "687826841265172480 success\n",
      "687818504314159109 success\n",
      "687807801670897665 success\n",
      "687732144991551489 success\n",
      "687704180304273409 success\n",
      "687664829264453632 success\n",
      "687494652870668288 success\n",
      "687480748861947905 success\n",
      "687476254459715584 success\n",
      "687460506001633280 success\n",
      "687399393394311168 success\n",
      "687317306314240000 success\n",
      "687312378585812992 success\n",
      "687127927494963200 success\n",
      "687124485711986689 success\n",
      "687109925361856513 success\n",
      "687102708889812993 success\n",
      "687096057537363968 success\n",
      "686947101016735744 success\n",
      "686760001961103360 success\n",
      "686749460672679938 success\n",
      "686730991906516992 success\n",
      "686683045143953408 success\n",
      "686618349602762752 success\n",
      "686606069955735556 success\n",
      "686394059078897668 success\n",
      "686386521809772549 success\n",
      "686377065986265092 success\n",
      "686358356425093120 success\n",
      "686286779679375361 success\n",
      "686050296934563840 success\n",
      "686035780142297088 success\n",
      "686034024800862208 success\n",
      "686007916130873345 success\n",
      "686003207160610816 success\n",
      "685973236358713344 success\n",
      "685943807276412928 success\n",
      "685906723014619143 success\n",
      "685681090388975616 success\n",
      "685667379192414208 success\n",
      "685663452032069632 success\n",
      "685641971164143616 success\n",
      "685547936038666240 success\n",
      "685532292383666176 success\n",
      "685325112850124800 success\n",
      "685321586178670592 success\n",
      "685315239903100929 success\n",
      "685307451701334016 success\n",
      "685268753634967552 success\n",
      "685198997565345792 success\n",
      "685169283572338688 success\n",
      "684969860808454144 success\n",
      "684959798585110529 success\n",
      "684940049151070208 success\n",
      "684926975086034944 success\n",
      "684914660081053696 success\n",
      "684902183876321280 success\n",
      "684880619965411328 success\n",
      "684830982659280897 success\n",
      "684800227459624960 success\n",
      "684594889858887680 success\n",
      "684588130326986752 success\n",
      "684567543613382656 success\n",
      "684538444857667585 success\n",
      "684481074559381504 success\n",
      "684460069371654144 success\n",
      "684241637099323392 success\n",
      "684225744407494656 success\n",
      "684222868335505415 success\n",
      "684200372118904832 success\n",
      "684195085588783105 success\n",
      "684188786104872960 success\n",
      "684177701129875456 success\n",
      "684147889187209216 success\n",
      "684122891630342144 success\n",
      "684097758874210310 success\n",
      "683857920510050305 success\n",
      "683852578183077888 success\n",
      "683849932751646720 success\n",
      "683834909291606017 success\n",
      "683828599284170753 success\n",
      "683773439333797890 success\n",
      "683742671509258241 success\n",
      "683515932363329536 success\n",
      "683498322573824003 success\n",
      "683481228088049664 success\n",
      "683462770029932544 success\n",
      "683449695444799489 success\n",
      "683391852557561860 success\n",
      "683357973142474752 success\n",
      "683142553609318400 success\n",
      "683111407806746624 success\n",
      "683098815881154561 success\n",
      "683078886620553216 success\n",
      "683030066213818368 success\n",
      "682962037429899265 success\n",
      "682808988178739200 success\n",
      "682788441537560576 success\n",
      "682750546109968385 success\n",
      "682697186228989953 success\n",
      "682662431982772225 success\n",
      "682638830361513985 success\n",
      "682429480204398592 success\n",
      "682406705142087680 success\n",
      "682393905736888321 success\n",
      "682389078323662849 success\n",
      "682303737705140231 success\n",
      "682259524040966145 success\n",
      "682242692827447297 success\n",
      "682088079302213632 success\n",
      "682059653698686977 success\n",
      "682047327939461121 success\n",
      "682032003584274432 success\n",
      "682003177596559360 success\n",
      "681981167097122816 success\n",
      "681891461017812993 success\n",
      "681694085539872773 success\n",
      "681679526984871937 success\n",
      "681654059175129088 success\n",
      "681610798867845120 success\n",
      "681579835668455424 success\n",
      "681523177663676416 success\n",
      "681340665377193984 success\n",
      "681339448655802368 success\n",
      "681320187870711809 success\n",
      "681302363064414209 success\n",
      "681297372102656000 success\n",
      "681281657291280384 success\n",
      "681261549936340994 success\n",
      "681242418453299201 success\n",
      "681231109724700672 success\n",
      "681193455364796417 success\n",
      "680970795137544192 success\n",
      "680959110691590145 success\n",
      "680940246314430465 success\n",
      "680934982542561280 success\n",
      "680913438424612864 success\n",
      "680889648562991104 success\n",
      "680836378243002368 success\n",
      "680805554198020098 success\n",
      "680801747103793152 success\n",
      "680798457301471234 success\n",
      "680609293079592961 success\n",
      "680583894916304897 success\n",
      "680497766108381184 success\n",
      "680494726643068929 success\n",
      "680473011644985345 success\n",
      "680440374763077632 success\n",
      "680221482581123072 success\n",
      "680206703334408192 success\n",
      "680191257256136705 success\n",
      "680176173301628928 success\n",
      "680161097740095489 success\n",
      "Rate limit reached. Sleeping for: 678\n",
      "680145970311643136 success\n",
      "680130881361686529 success\n",
      "680115823365742593 success\n",
      "680100725817409536 success\n",
      "680085611152338944 success\n",
      "680070545539371008 success\n",
      "679877062409191424 success\n",
      "679872969355714560 success\n",
      "679862121895714818 success\n",
      "679854723806179328 success\n",
      "679844490799091713 success\n",
      "679828447187857408 success\n",
      "679777920601223168 success\n",
      "679736210798047232 success\n",
      "679729593985699840 success\n",
      "679722016581222400 success\n",
      "679530280114372609 success\n",
      "679527802031484928 success\n",
      "679511351870550016 success\n",
      "679503373272485890 success\n",
      "679475951516934144 success\n",
      "679462823135686656 success\n",
      "679405845277462528 success\n",
      "679158373988876288 success\n",
      "679148763231985668 success\n",
      "679132435750195208 success\n",
      "679111216690831360 success\n",
      "679062614270468097 success\n",
      "679047485189439488 success\n",
      "679001094530465792 success\n",
      "678991772295516161 success\n",
      "678969228704284672 success\n",
      "678800283649069056 success\n",
      "678798276842360832 success\n",
      "678774928607469569 success\n",
      "678767140346941444 success\n",
      "678764513869611008 success\n",
      "678755239630127104 success\n",
      "678740035362037760 success\n",
      "678708137298427904 success\n",
      "678675843183484930 success\n",
      "678643457146150913 success\n",
      "678446151570427904 success\n",
      "678424312106393600 success\n",
      "678410210315247616 success\n",
      "678399652199309312 success\n",
      "678396796259975168 success\n",
      "678389028614488064 success\n",
      "678380236862578688 success\n",
      "678341075375947776 success\n",
      "678334497360859136 success\n",
      "678278586130948096 success\n",
      "678255464182861824 success\n",
      "678023323247357953 success\n",
      "678021115718029313 success\n",
      "677961670166224897 success\n",
      "677918531514703872 success\n",
      "677895101218201600 success\n",
      "677716515794329600 success\n",
      "677700003327029250 success\n",
      "677698403548192770 success\n",
      "677687604918272002 success\n",
      "677673981332312066 success\n",
      "677662372920729601 success\n",
      "677644091929329666 success\n",
      "677573743309385728 success\n",
      "677565715327688705 success\n",
      "677557565589463040 success\n",
      "677547928504967168 success\n",
      "677530072887205888 success\n",
      "677335745548390400 success\n",
      "677334615166730240 success\n",
      "677331501395156992 success\n",
      "677328882937298944 success\n",
      "677314812125323265 success\n",
      "677301033169788928 success\n",
      "677269281705472000 success\n",
      "677228873407442944 success\n",
      "677187300187611136 success\n",
      "676975532580409345 success\n",
      "676957860086095872 success\n",
      "676949632774234114 success\n",
      "676948236477857792 success\n",
      "676946864479084545 success\n",
      "676942428000112642 success\n",
      "676936541936185344 success\n",
      "676916996760600576 success\n",
      "676897532954456065 success\n",
      "676864501615042560 success\n",
      "676821958043033607 success\n",
      "676819651066732545 success\n",
      "676811746707918848 success\n",
      "676776431406465024 success\n",
      "676617503762681856 success\n",
      "676613908052996102 success\n",
      "676606785097199616 success\n",
      "676603393314578432 success\n",
      "676593408224403456 success\n",
      "676590572941893632 success\n",
      "676588346097852417 success\n",
      "676582956622721024 success\n",
      "676575501977128964 success\n",
      "676533798876651520 success\n",
      "676496375194980353 success\n",
      "676470639084101634 success\n",
      "676440007570247681 success\n",
      "676430933382295552 success\n",
      "676263575653122048 success\n",
      "676237365392908289 success\n",
      "676219687039057920 success\n",
      "676215927814406144 success\n",
      "676191832485810177 success\n",
      "676146341966438401 success\n",
      "676121918416756736 success\n",
      "676101918813499392 success\n",
      "676098748976615425 success\n",
      "676089483918516224 success\n",
      "675898130735476737 success\n",
      "675891555769696257 success\n",
      "675888385639251968 success\n",
      "675878199931371520 success\n",
      "675870721063669760 success\n",
      "675853064436391936 success\n",
      "675849018447167488 success\n",
      "675845657354215424 success\n",
      "675822767435051008 success\n",
      "675820929667219457 success\n",
      "675798442703122432 success\n",
      "675781562965868544 success\n",
      "675740360753160193 success\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "675710890956750848 success\n",
      "675707330206547968 success\n",
      "675706639471788032 success\n",
      "675534494439489536 success\n",
      "675531475945709568 success\n",
      "675522403582218240 success\n",
      "675517828909424640 success\n",
      "675501075957489664 success\n",
      "675497103322386432 success\n",
      "675489971617296384 success\n",
      "675483430902214656 success\n",
      "675432746517426176 success\n",
      "675372240448454658 success\n",
      "675362609739206656 success\n",
      "675354435921575936 success\n",
      "675349384339542016 success\n",
      "675334060156301312 success\n",
      "675166823650848770 success\n",
      "675153376133427200 success\n",
      "675149409102012420 success\n",
      "675147105808306176 success\n",
      "675146535592706048 success\n",
      "675145476954566656 success\n",
      "675135153782571009 success\n",
      "675113801096802304 success\n",
      "675111688094527488 success\n",
      "675109292475830276 success\n",
      "675047298674663426 success\n",
      "675015141583413248 success\n",
      "675006312288268288 success\n",
      "675003128568291329 success\n",
      "674999807681908736 success\n",
      "674805413498527744 success\n",
      "674800520222154752 success\n",
      "674793399141146624 success\n",
      "674790488185167872 success\n",
      "674788554665512960 success\n",
      "674781762103414784 success\n",
      "674774481756377088 success\n",
      "674767892831932416 success\n",
      "674764817387900928 success\n",
      "674754018082705410 success\n",
      "674752233200820224 success\n",
      "674743008475090944 success\n",
      "674742531037511680 success\n",
      "674739953134403584 success\n",
      "674737130913071104 success\n",
      "674690135443775488 success\n",
      "674670581682434048 success\n",
      "674664755118911488 success\n",
      "674646392044941312 success\n",
      "674644256330530816 success\n",
      "674638615994089473 success\n",
      "674632714662858753 success\n",
      "674606911342424069 success\n",
      "674468880899788800 success\n",
      "674447403907457024 success\n",
      "674436901579923456 success\n",
      "674422304705744896 success\n",
      "674416750885273600 success\n",
      "674410619106390016 success\n",
      "674394782723014656 success\n",
      "674372068062928900 success\n",
      "674330906434379776 success\n",
      "674318007229923329 success\n",
      "674307341513269249 success\n",
      "674291837063053312 success\n",
      "674271431610523648 success\n",
      "674269164442398721 success\n",
      "674265582246694913 success\n",
      "674262580978937856 success\n",
      "674255168825880576 success\n",
      "674082852460433408 success\n",
      "674075285688614912 success\n",
      "674063288070742018 success\n",
      "674053186244734976 success\n",
      "674051556661161984 success\n",
      "674045139690631169 success\n",
      "674042553264685056 success\n",
      "674038233588723717 success\n",
      "674036086168010753 success\n",
      "674024893172875264 success\n",
      "674019345211760640 success\n",
      "674014384960745472 success\n",
      "674008982932058114 success\n",
      "673956914389192708 success\n",
      "673919437611909120 success\n",
      "673906403526995968 success\n",
      "673887867907739649 success\n",
      "673716320723169284 success\n",
      "673715861853720576 success\n",
      "673711475735838725 success\n",
      "673709992831262724 success\n",
      "673708611235921920 success\n",
      "673707060090052608 success\n",
      "673705679337693185 success\n",
      "673700254269775872 success\n",
      "673697980713705472 success\n",
      "673689733134946305 success\n",
      "673688752737402881 success\n",
      "673686845050527744 success\n",
      "673680198160809984 success\n",
      "673662677122719744 success\n",
      "673656262056419329 success\n",
      "673636718965334016 success\n",
      "673612854080196609 success\n",
      "673583129559498752 success\n",
      "673580926094458881 success\n",
      "673576835670777856 success\n",
      "673363615379013632 success\n",
      "673359818736984064 success\n",
      "673355879178194945 success\n",
      "673352124999274496 success\n",
      "673350198937153538 success\n",
      "673345638550134785 success\n",
      "673343217010679808 success\n",
      "673342308415348736 success\n",
      "673320132811366400 success\n",
      "673317986296586240 success\n",
      "673295268553605120 success\n",
      "673270968295534593 success\n",
      "673240798075449344 success\n",
      "673213039743795200 success\n",
      "673148804208660480 success\n",
      "672997845381865473 success\n",
      "672995267319328768 success\n",
      "672988786805112832 success\n",
      "672984142909456390 success\n",
      "672980819271634944 success\n",
      "672975131468300288 success\n",
      "672970152493887488 success\n",
      "672968025906282496 success\n",
      "672964561327235073 success\n",
      "672902681409806336 success\n",
      "672898206762672129 success\n",
      "672884426393653248 success\n",
      "672877615439593473 success\n",
      "672834301050937345 success\n",
      "672828477930868736 success\n",
      "672640509974827008 success\n",
      "672622327801233409 success\n",
      "672614745925664768 success\n",
      "672609152938721280 success\n",
      "672604026190569472 success\n",
      "672594978741354496 success\n",
      "672591762242805761 success\n",
      "672591271085670400 success\n",
      "672538107540070400 success\n",
      "672523490734551040 success\n",
      "672488522314567680 success\n",
      "672482722825261057 success\n",
      "672481316919734272 success\n",
      "672475084225949696 success\n",
      "672466075045466113 success\n",
      "672272411274932228 success\n",
      "672267570918129665 success\n",
      "672264251789176834 success\n",
      "672256522047614977 success\n",
      "672254177670729728 success\n",
      "672248013293752320 success\n",
      "672245253877968896 success\n",
      "672239279297454080 success\n",
      "672231046314901505 success\n",
      "672222792075620352 success\n",
      "672205392827572224 success\n",
      "672169685991993344 success\n",
      "672160042234327040 success\n",
      "672139350159835138 success\n",
      "672125275208069120 success\n",
      "672095186491711488 success\n",
      "672082170312290304 success\n",
      "672068090318987265 success\n",
      "671896809300709376 success\n",
      "671891728106971137 success\n",
      "671882082306625538 success\n",
      "671879137494245376 success\n",
      "671874878652489728 success\n",
      "671866342182637568 success\n",
      "671855973984772097 success\n",
      "671789708968640512 success\n",
      "671768281401958400 success\n",
      "671763349865160704 success\n",
      "671744970634719232 success\n",
      "671743150407421952 success\n",
      "671735591348891648 success\n",
      "671729906628341761 success\n",
      "671561002136281088 success\n",
      "671550332464455680 success\n",
      "671547767500775424 success\n",
      "671544874165002241 success\n",
      "671542985629241344 success\n",
      "671538301157904385 success\n",
      "671536543010570240 success\n",
      "671533943490011136 success\n",
      "671528761649688577 success\n",
      "671520732782923777 success\n",
      "671518598289059840 success\n",
      "671511350426865664 success\n",
      "671504605491109889 success\n",
      "671497587707535361 success\n",
      "671488513339211776 success\n",
      "671486386088865792 success\n",
      "671485057807351808 success\n",
      "671390180817915904 success\n",
      "671362598324076544 success\n",
      "671357843010908160 success\n",
      "671355857343524864 success\n",
      "671347597085433856 success\n",
      "671186162933985280 success\n",
      "671182547775299584 success\n",
      "671166507850801152 success\n",
      "671163268581498880 success\n",
      "671159727754231808 success\n",
      "671154572044468225 success\n",
      "671151324042559489 success\n",
      "671147085991960577 success\n",
      "671141549288370177 success\n",
      "671138694582165504 success\n",
      "671134062904504320 success\n",
      "671122204919246848 success\n",
      "671115716440031232 success\n",
      "671109016219725825 success\n",
      "670995969505435648 success\n",
      "670842764863651840 success\n",
      "670840546554966016 success\n",
      "670838202509447168 success\n",
      "670833812859932673 success\n",
      "670832455012716544 success\n",
      "670826280409919488 success\n",
      "670823764196741120 success\n",
      "670822709593571328 success\n",
      "670815497391357952 success\n",
      "670811965569282048 success\n",
      "670807719151067136 success\n",
      "670804601705242624 success\n",
      "670803562457407488 success\n",
      "670797304698376195 success\n",
      "670792680469889025 success\n",
      "670789397210615808 success\n",
      "670786190031921152 success\n",
      "670783437142401025 success\n",
      "670782429121134593 success\n",
      "670780561024270336 success\n",
      "670778058496974848 success\n",
      "670764103623966721 success\n",
      "670755717859713024 success\n",
      "670733412878163972 success\n",
      "670727704916926465 success\n",
      "670717338665226240 success\n",
      "670704688707301377 success\n",
      "670691627984359425 success\n",
      "670679630144274432 success\n",
      "670676092097810432 success\n",
      "670668383499735048 success\n",
      "670474236058800128 success\n",
      "670468609693655041 success\n",
      "670465786746662913 success\n",
      "670452855871037440 success\n",
      "670449342516494336 success\n",
      "670444955656130560 success\n",
      "670442337873600512 success\n",
      "670435821946826752 success\n",
      "670434127938719744 success\n",
      "670433248821026816 success\n",
      "670428280563085312 success\n",
      "670427002554466305 success\n",
      "670421925039075328 success\n",
      "670420569653809152 success\n",
      "670417414769758208 success\n",
      "670411370698022913 success\n",
      "670408998013820928 success\n",
      "670403879788544000 success\n",
      "670385711116361728 success\n",
      "670374371102445568 success\n",
      "670361874861563904 success\n",
      "670338931251150849 success\n",
      "670319130621435904 success\n",
      "670303360680108032 success\n",
      "670290420111441920 success\n",
      "670093938074779648 success\n",
      "670086499208155136 success\n",
      "670079681849372674 success\n",
      "670073503555706880 success\n",
      "670069087419133954 success\n",
      "670061506722140161 success\n",
      "670055038660800512 success\n",
      "670046952931721218 success\n",
      "670040295598354432 success\n",
      "670037189829525505 success\n",
      "670003130994700288 success\n",
      "669993076832759809 success\n",
      "669972011175813120 success\n",
      "669970042633789440 success\n",
      "669942763794931712 success\n",
      "669926384437997569 success\n",
      "669923323644657664 success\n",
      "669753178989142016 success\n",
      "669749430875258880 success\n",
      "669684865554620416 success\n",
      "669683899023405056 success\n",
      "669682095984410625 success\n",
      "669680153564442624 success\n",
      "669661792646373376 success\n",
      "669625907762618368 success\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "669603084620980224 success\n",
      "669597912108789760 success\n",
      "669583744538451968 success\n",
      "669573570759163904 success\n",
      "669571471778410496 success\n",
      "669567591774625800 success\n",
      "669564461267722241 success\n",
      "669393256313184256 success\n",
      "669375718304980992 success\n",
      "669371483794317312 success\n",
      "669367896104181761 success\n",
      "669363888236994561 success\n",
      "669359674819481600 success\n",
      "669354382627049472 success\n",
      "669353438988365824 success\n",
      "669351434509529089 success\n",
      "669328503091937280 success\n",
      "669327207240699904 success\n",
      "669324657376567296 success\n",
      "669216679721873412 success\n",
      "669214165781868544 success\n",
      "669203728096960512 success\n",
      "669037058363662336 success\n",
      "669015743032369152 success\n",
      "669006782128353280 success\n",
      "669000397445533696 success\n",
      "668994913074286592 success\n",
      "668992363537309700 success\n",
      "668989615043424256 success\n",
      "668988183816871936 success\n",
      "668986018524233728 success\n",
      "668981893510119424 success\n",
      "668979806671884288 success\n",
      "668975677807423489 success\n",
      "668967877119254528 success\n",
      "668960084974809088 success\n",
      "668955713004314625 success\n",
      "668932921458302977 success\n",
      "668902994700836864 success\n",
      "668892474547511297 success\n",
      "668872652652679168 success\n",
      "668852170888998912 success\n",
      "668826086256599040 success\n",
      "668815180734689280 success\n",
      "668779399630725120 success\n",
      "668655139528511488 success\n",
      "668645506898350081 success\n",
      "668643542311546881 success\n",
      "668641109086707712 success\n",
      "668636665813057536 success\n",
      "668633411083464705 success\n",
      "668631377374486528 success\n",
      "668627278264475648 success\n",
      "668625577880875008 success\n",
      "668623201287675904 success\n",
      "668620235289837568 success\n",
      "668614819948453888 success\n",
      "668587383441514497 success\n",
      "668567822092664832 success\n",
      "668544745690562560 success\n",
      "668542336805281792 success\n",
      "668537837512433665 success\n",
      "668528771708952576 success\n",
      "668507509523615744 success\n",
      "668496999348633600 success\n",
      "668484198282485761 success\n",
      "668480044826800133 success\n",
      "668466899341221888 success\n",
      "668297328638447616 success\n",
      "668291999406125056 success\n",
      "668286279830867968 success\n",
      "668274247790391296 success\n",
      "668268907921326080 success\n",
      "668256321989451776 success\n",
      "668248472370458624 success\n",
      "668237644992782336 success\n",
      "668226093875376128 success\n",
      "668221241640230912 success\n",
      "668204964695683073 success\n",
      "668190681446379520 success\n",
      "668171859951755264 success\n",
      "668154635664932864 success\n",
      "668142349051129856 success\n",
      "668113020489474048 success\n",
      "667937095915278337 success\n",
      "667924896115245057 success\n",
      "667915453470232577 success\n",
      "667911425562669056 success\n",
      "667902449697558528 success\n",
      "667886921285246976 success\n",
      "667885044254572545 success\n",
      "667878741721415682 success\n",
      "667873844930215936 success\n",
      "667866724293877760 success\n",
      "667861340749471744 success\n",
      "667832474953625600 success\n",
      "667806454573760512 success\n",
      "667801013445750784 success\n",
      "667793409583771648 success\n",
      "667782464991965184 success\n",
      "667773195014021121 success\n",
      "667766675769573376 success\n",
      "667728196545200128 success\n",
      "667724302356258817 success\n",
      "667550904950915073 success\n",
      "667550882905632768 success\n",
      "667549055577362432 success\n",
      "667546741521195010 success\n",
      "667544320556335104 success\n",
      "667538891197542400 success\n",
      "667534815156183040 success\n",
      "667530908589760512 success\n",
      "667524857454854144 success\n",
      "667517642048163840 success\n",
      "667509364010450944 success\n",
      "667502640335572993 success\n",
      "667495797102141441 success\n",
      "667491009379606528 success\n",
      "667470559035432960 success\n",
      "667455448082227200 success\n",
      "667453023279554560 success\n",
      "667443425659232256 success\n",
      "667437278097252352 success\n",
      "667435689202614272 success\n",
      "667405339315146752 success\n",
      "667393430834667520 success\n",
      "667369227918143488 success\n",
      "667211855547486208 success\n",
      "667200525029539841 success\n",
      "667192066997374976 success\n",
      "667188689915760640 success\n",
      "667182792070062081 success\n",
      "667177989038297088 success\n",
      "667176164155375616 success\n",
      "667174963120574464 success\n",
      "667171260800061440 success\n",
      "667165590075940865 success\n",
      "667160273090932737 success\n",
      "667152164079423490 success\n",
      "667138269671505920 success\n",
      "667119796878725120 success\n",
      "667090893657276420 success\n",
      "667073648344346624 success\n",
      "667070482143944705 success\n",
      "667065535570550784 success\n",
      "667062181243039745 success\n",
      "667044094246576128 success\n",
      "667012601033924608 success\n",
      "666996132027977728 success\n",
      "666983947667116034 success\n",
      "666837028449972224 success\n",
      "666835007768551424 success\n",
      "666826780179869698 success\n",
      "666817836334096384 success\n",
      "666804364988780544 success\n",
      "666786068205871104 success\n",
      "666781792255496192 success\n",
      "666776908487630848 success\n",
      "666739327293083650 success\n",
      "666701168228331520 success\n",
      "666691418707132416 success\n",
      "666649482315059201 success\n",
      "666644823164719104 success\n",
      "666454714377183233 success\n",
      "666447344410484738 success\n",
      "666437273139982337 success\n",
      "666435652385423360 success\n",
      "666430724426358785 success\n",
      "666428276349472768 success\n",
      "666421158376562688 success\n",
      "666418789513326592 success\n",
      "666411507551481857 success\n",
      "666407126856765440 success\n",
      "666396247373291520 success\n",
      "666373753744588802 success\n",
      "666362758909284353 success\n",
      "666353288456101888 success\n",
      "666345417576210432 success\n",
      "666337882303524864 success\n",
      "666293911632134144 success\n",
      "666287406224695296 success\n",
      "666273097616637952 success\n",
      "666268910803644416 success\n",
      "666104133288665088 success\n",
      "666102155909144576 success\n",
      "666099513787052032 success\n",
      "666094000022159362 success\n",
      "666082916733198337 success\n",
      "666073100786774016 success\n",
      "666071193221509120 success\n",
      "666063827256086533 success\n",
      "666058600524156928 success\n",
      "666057090499244032 success\n",
      "666055525042405380 success\n",
      "666051853826850816 success\n",
      "666050758794694657 success\n",
      "666049248165822465 success\n",
      "666044226329800704 success\n",
      "666033412701032449 success\n",
      "666029285002620928 success\n",
      "666020888022790149 success\n"
     ]
    }
   ],
   "source": [
    "# #querying \n",
    "# df_list = []\n",
    "# error_ids = []\n",
    "# index=-1\n",
    "# for tweet_ids in twitter_archive.tweet_id:\n",
    "#     index+=1\n",
    "#     try:\n",
    "#         tweet = api.get_status(tweet_ids,tweet_mode='extended')\n",
    "#         tweet_id=tweet.id_str\n",
    "#         retweets=tweet.retweet_count\n",
    "#         likes=tweet.favorite_count\n",
    "#         source=tweet.source\n",
    "#         date=str(tweet.created_at)\n",
    "#         df_list.append({'index': int(index),\n",
    "#                         'tweet_id': tweet_ids,\n",
    "#                         'retweets': retweets,\n",
    "#                        'likes':likes,\n",
    "#                        'source':source,\n",
    "#                        'date':date})\n",
    "#         print(tweet.id_str,'success')\n",
    "#     except tweepy.TweepError:\n",
    "#         error_ids.append(tweet.id)\n",
    "#         pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2327"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# len(df_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[888554962724278272,\n",
       " 874012996292530176,\n",
       " 872820683541237760,\n",
       " 872486979161796608,\n",
       " 870063196459192321,\n",
       " 867051520902168576,\n",
       " 862096992088072192,\n",
       " 857029823797047296,\n",
       " 856526610513747968,\n",
       " 852189679701164033,\n",
       " 852189679701164033,\n",
       " 845677943972139009,\n",
       " 844973813909606400,\n",
       " 843235543001513987,\n",
       " 837471256429613056,\n",
       " 837110210464448512,\n",
       " 829449946868879360,\n",
       " 827324948884643840,\n",
       " 812781120811126785,\n",
       " 802265048156610565,\n",
       " 779124354206535695,\n",
       " 775350846108426240,\n",
       " 771014301343748096,\n",
       " 770772759874076672,\n",
       " 767122157629476866,\n",
       " 759943073749200896,\n",
       " 759793422261743616,\n",
       " 754120377874386944,\n",
       " 680070545539371008]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# error_ids"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# df = pd.DataFrame(df_list, columns = ['index', 'tweet_id', 'retweets','likes','source','date'])\n",
    "# df = df.sort_values('index').reset_index(drop=True)\n",
    "# df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 4,
        "height": 4,
        "hidden": false,
        "row": 28,
        "width": 4
       },
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "source": [
    "## Assessing Data\n",
    "In this section, detect and document at least **eight (8) quality issues and two (2) tidiness issue**. You must use **both** visual assessment\n",
    "programmatic assessement to assess the data.\n",
    "\n",
    "**Note:** pay attention to the following key points when you access the data.\n",
    "\n",
    "* You only want original ratings (no retweets) that have images. Though there are 5000+ tweets in the dataset, not all are dog ratings and some are retweets.\n",
    "* Assessing and cleaning the entire dataset completely would require a lot of time, and is not necessary to practice and demonstrate your skills in data wrangling. Therefore, the requirements of this project are only to assess and clean at least 8 quality issues and at least 2 tidiness issues in this dataset.\n",
    "* The fact that the rating numerators are greater than the denominators does not need to be cleaned. This [unique rating system](http://knowyourmeme.com/memes/theyre-good-dogs-brent) is a big part of the popularity of WeRateDogs.\n",
    "* You do not need to gather the tweets beyond August 1st, 2017. You can, but note that you won't be able to gather the image predictions for these tweets since you don't have access to the algorithm used.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visual Assessment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>tweet_id</th>\n",
       "      <th>in_reply_to_status_id</th>\n",
       "      <th>in_reply_to_user_id</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>retweeted_status_id</th>\n",
       "      <th>retweeted_status_user_id</th>\n",
       "      <th>retweeted_status_timestamp</th>\n",
       "      <th>expanded_urls</th>\n",
       "      <th>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "      <th>name</th>\n",
       "      <th>doggo</th>\n",
       "      <th>floofer</th>\n",
       "      <th>pupper</th>\n",
       "      <th>puppo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>892420643555336193</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-08-01 16:23:56 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Phineas. He's a mystical boy. Only eve...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/892420643...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Phineas</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>892177421306343426</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-08-01 00:17:27 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Tilly. She's just checking pup on you....</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/892177421...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Tilly</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-31 00:18:03 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Archie. He is a rare Norwegian Pouncin...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/891815181...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Archie</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-30 15:58:51 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Darla. She commenced a snooze mid meal...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/891689557...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Darla</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-29 16:00:24 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Franklin. He would like you to stop ca...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/891327558...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Franklin</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>891087950875897856</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-29 00:08:17 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Here we have a majestic great white breaching ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/891087950...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>890971913173991426</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-28 16:27:12 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Meet Jax. He enjoys ice cream so much he gets ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://gofundme.com/ydvmve-surgery-for-jax,ht...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Jax</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>890729181411237888</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-28 00:22:40 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>When you watch your owner call another dog a g...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/890729181...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>890609185150312448</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-27 16:25:51 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Zoey. She doesn't want to be one of th...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/890609185...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Zoey</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>890240255349198849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-26 15:59:51 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Cassie. She is a college pup. Studying...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/890240255...</td>\n",
       "      <td>14</td>\n",
       "      <td>10</td>\n",
       "      <td>Cassie</td>\n",
       "      <td>doggo</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>890006608113172480</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-26 00:31:25 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Koda. He is a South Australian decksha...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/890006608...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Koda</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>889880896479866881</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-25 16:11:53 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Bruno. He is a service shark. Only get...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/889880896...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Bruno</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>889665388333682689</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-25 01:55:32 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Here's a puppo that seems to be on the fence a...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/889665388...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>puppo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>889638837579907072</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-25 00:10:02 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Ted. He does his best. Sometimes that'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/889638837...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Ted</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>889531135344209921</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-24 17:02:04 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Stuart. He's sporting his favorite fan...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/889531135...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Stuart</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>puppo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>889278841981685760</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-24 00:19:32 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Oliver. You're witnessing one of his m...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/889278841...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Oliver</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>888917238123831296</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-23 00:22:39 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Jim. He found a fren. Taught him how t...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/888917238...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Jim</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>888804989199671297</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-22 16:56:37 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Zeke. He has a new stick. Very proud o...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/888804989...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Zeke</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>888554962724278272</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-22 00:23:06 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Ralphus. He's powering up. Attempting ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/888554962...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Ralphus</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>888202515573088257</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-21 01:02:36 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: This is Canela. She attempted s...</td>\n",
       "      <td>8.874740e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2017-07-19 00:47:34 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/887473957...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Canela</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>888078434458587136</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-20 16:49:33 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Gerald. He was just told he didn't get...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/888078434...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Gerald</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>887705289381826560</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-19 16:06:48 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Jeffrey. He has a monopoly on the pool...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/887705289...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Jeffrey</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>887517139158093824</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-19 03:39:09 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>I've yet to rate a Venezuelan Hover Wiener. Th...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/887517139...</td>\n",
       "      <td>14</td>\n",
       "      <td>10</td>\n",
       "      <td>such</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>887473957103951883</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-19 00:47:34 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Canela. She attempted some fancy porch...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/887473957...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Canela</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>887343217045368832</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-18 16:08:03 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>You may not have known you needed to see this ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/887343217...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>887101392804085760</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-18 00:07:08 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This... is a Jubilant Antarctic House Bear. We...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/887101392...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>886983233522544640</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-17 16:17:36 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Maya. She's very shy. Rarely leaves he...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/886983233...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Maya</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>886736880519319552</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-16 23:58:41 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Mingus. He's a wonderful father to his...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.gofundme.com/mingusneedsus,https:/...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Mingus</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>886680336477933568</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-16 20:14:00 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Derek. He's late for a dog meeting. 13...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/886680336...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Derek</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>886366144734445568</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-15 23:25:31 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Roscoe. Another pupper fallen victim t...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/886366144...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Roscoe</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2326</th>\n",
       "      <td>666411507551481857</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-17 00:24:19 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is quite the dog. Gets really excited whe...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666411507...</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>quite</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2327</th>\n",
       "      <td>666407126856765440</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-17 00:06:54 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is a southern Vesuvius bumblegruff. Can d...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666407126...</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>a</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2328</th>\n",
       "      <td>666396247373291520</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 23:23:41 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Oh goodness. A super rare northeast Qdoba kang...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666396247...</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2329</th>\n",
       "      <td>666373753744588802</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 21:54:18 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Those are sunglasses and a jean jacket. 11/10 ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666373753...</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2330</th>\n",
       "      <td>666362758909284353</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 21:10:36 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Unique dog here. Very small. Lives in containe...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666362758...</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2331</th>\n",
       "      <td>666353288456101888</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 20:32:58 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Here we have a mixed Asiago from the Galápagos...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666353288...</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2332</th>\n",
       "      <td>666345417576210432</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 20:01:42 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Look at this jokester thinking seat belt laws ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666345417...</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2333</th>\n",
       "      <td>666337882303524864</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 19:31:45 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is an extremely rare horned Parthenon. No...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666337882...</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>an</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2334</th>\n",
       "      <td>666293911632134144</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 16:37:02 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is a funny dog. Weird toes. Won't come do...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666293911...</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>a</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2335</th>\n",
       "      <td>666287406224695296</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 16:11:11 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is an Albanian 3 1/2 legged  Episcopalian...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666287406...</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>an</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2336</th>\n",
       "      <td>666273097616637952</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 15:14:19 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Can take selfies 11/10 https://t.co/ws2AMaNwPW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666273097...</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2337</th>\n",
       "      <td>666268910803644416</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 14:57:41 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Very concerned about fellow dog trapped in com...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666268910...</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2338</th>\n",
       "      <td>666104133288665088</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 04:02:55 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Not familiar with this breed. No tail (weird)....</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666104133...</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2339</th>\n",
       "      <td>666102155909144576</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 03:55:04 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Oh my. Here you are seeing an Adobe Setter giv...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666102155...</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2340</th>\n",
       "      <td>666099513787052032</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 03:44:34 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Can stand on stump for what seems like a while...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666099513...</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2341</th>\n",
       "      <td>666094000022159362</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 03:22:39 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This appears to be a Mongolian Presbyterian mi...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666094000...</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2342</th>\n",
       "      <td>666082916733198337</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 02:38:37 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Here we have a well-established sunblockerspan...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666082916...</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2343</th>\n",
       "      <td>666073100786774016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 01:59:36 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Let's hope this flight isn't Malaysian (lol). ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666073100...</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2344</th>\n",
       "      <td>666071193221509120</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 01:52:02 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Here we have a northern speckled Rhododendron....</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666071193...</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2345</th>\n",
       "      <td>666063827256086533</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 01:22:45 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is the happiest dog you will ever see. Ve...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666063827...</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>the</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2346</th>\n",
       "      <td>666058600524156928</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 01:01:59 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Here is the Rand Paul of retrievers folks! He'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666058600...</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>the</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2347</th>\n",
       "      <td>666057090499244032</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 00:55:59 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>My oh my. This is a rare blond Canadian terrie...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666057090...</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>a</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2348</th>\n",
       "      <td>666055525042405380</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 00:49:46 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Here is a Siberian heavily armored polar bear ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666055525...</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>a</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2349</th>\n",
       "      <td>666051853826850816</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 00:35:11 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is an odd dog. Hard on the outside but lo...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666051853...</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>an</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2350</th>\n",
       "      <td>666050758794694657</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 00:30:50 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is a truly beautiful English Wilson Staff...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666050758...</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>a</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2351</th>\n",
       "      <td>666049248165822465</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 00:24:50 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Here we have a 1949 1st generation vulpix. Enj...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666049248...</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2352</th>\n",
       "      <td>666044226329800704</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 00:04:52 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is a purebred Piers Morgan. Loves to Netf...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666044226...</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>a</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2353</th>\n",
       "      <td>666033412701032449</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-15 23:21:54 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Here is a very happy pup. Big fan of well-main...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666033412...</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>a</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2354</th>\n",
       "      <td>666029285002620928</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-15 23:05:30 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is a western brown Mitsubishi terrier. Up...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666029285...</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>a</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2355</th>\n",
       "      <td>666020888022790149</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-15 22:32:08 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Here we have a Japanese Irish Setter. Lost eye...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666020888...</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2356 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id  in_reply_to_status_id  in_reply_to_user_id  \\\n",
       "0     892420643555336193                    NaN                  NaN   \n",
       "1     892177421306343426                    NaN                  NaN   \n",
       "2     891815181378084864                    NaN                  NaN   \n",
       "3     891689557279858688                    NaN                  NaN   \n",
       "4     891327558926688256                    NaN                  NaN   \n",
       "5     891087950875897856                    NaN                  NaN   \n",
       "6     890971913173991426                    NaN                  NaN   \n",
       "7     890729181411237888                    NaN                  NaN   \n",
       "8     890609185150312448                    NaN                  NaN   \n",
       "9     890240255349198849                    NaN                  NaN   \n",
       "10    890006608113172480                    NaN                  NaN   \n",
       "11    889880896479866881                    NaN                  NaN   \n",
       "12    889665388333682689                    NaN                  NaN   \n",
       "13    889638837579907072                    NaN                  NaN   \n",
       "14    889531135344209921                    NaN                  NaN   \n",
       "15    889278841981685760                    NaN                  NaN   \n",
       "16    888917238123831296                    NaN                  NaN   \n",
       "17    888804989199671297                    NaN                  NaN   \n",
       "18    888554962724278272                    NaN                  NaN   \n",
       "19    888202515573088257                    NaN                  NaN   \n",
       "20    888078434458587136                    NaN                  NaN   \n",
       "21    887705289381826560                    NaN                  NaN   \n",
       "22    887517139158093824                    NaN                  NaN   \n",
       "23    887473957103951883                    NaN                  NaN   \n",
       "24    887343217045368832                    NaN                  NaN   \n",
       "25    887101392804085760                    NaN                  NaN   \n",
       "26    886983233522544640                    NaN                  NaN   \n",
       "27    886736880519319552                    NaN                  NaN   \n",
       "28    886680336477933568                    NaN                  NaN   \n",
       "29    886366144734445568                    NaN                  NaN   \n",
       "...                  ...                    ...                  ...   \n",
       "2326  666411507551481857                    NaN                  NaN   \n",
       "2327  666407126856765440                    NaN                  NaN   \n",
       "2328  666396247373291520                    NaN                  NaN   \n",
       "2329  666373753744588802                    NaN                  NaN   \n",
       "2330  666362758909284353                    NaN                  NaN   \n",
       "2331  666353288456101888                    NaN                  NaN   \n",
       "2332  666345417576210432                    NaN                  NaN   \n",
       "2333  666337882303524864                    NaN                  NaN   \n",
       "2334  666293911632134144                    NaN                  NaN   \n",
       "2335  666287406224695296                    NaN                  NaN   \n",
       "2336  666273097616637952                    NaN                  NaN   \n",
       "2337  666268910803644416                    NaN                  NaN   \n",
       "2338  666104133288665088                    NaN                  NaN   \n",
       "2339  666102155909144576                    NaN                  NaN   \n",
       "2340  666099513787052032                    NaN                  NaN   \n",
       "2341  666094000022159362                    NaN                  NaN   \n",
       "2342  666082916733198337                    NaN                  NaN   \n",
       "2343  666073100786774016                    NaN                  NaN   \n",
       "2344  666071193221509120                    NaN                  NaN   \n",
       "2345  666063827256086533                    NaN                  NaN   \n",
       "2346  666058600524156928                    NaN                  NaN   \n",
       "2347  666057090499244032                    NaN                  NaN   \n",
       "2348  666055525042405380                    NaN                  NaN   \n",
       "2349  666051853826850816                    NaN                  NaN   \n",
       "2350  666050758794694657                    NaN                  NaN   \n",
       "2351  666049248165822465                    NaN                  NaN   \n",
       "2352  666044226329800704                    NaN                  NaN   \n",
       "2353  666033412701032449                    NaN                  NaN   \n",
       "2354  666029285002620928                    NaN                  NaN   \n",
       "2355  666020888022790149                    NaN                  NaN   \n",
       "\n",
       "                      timestamp  \\\n",
       "0     2017-08-01 16:23:56 +0000   \n",
       "1     2017-08-01 00:17:27 +0000   \n",
       "2     2017-07-31 00:18:03 +0000   \n",
       "3     2017-07-30 15:58:51 +0000   \n",
       "4     2017-07-29 16:00:24 +0000   \n",
       "5     2017-07-29 00:08:17 +0000   \n",
       "6     2017-07-28 16:27:12 +0000   \n",
       "7     2017-07-28 00:22:40 +0000   \n",
       "8     2017-07-27 16:25:51 +0000   \n",
       "9     2017-07-26 15:59:51 +0000   \n",
       "10    2017-07-26 00:31:25 +0000   \n",
       "11    2017-07-25 16:11:53 +0000   \n",
       "12    2017-07-25 01:55:32 +0000   \n",
       "13    2017-07-25 00:10:02 +0000   \n",
       "14    2017-07-24 17:02:04 +0000   \n",
       "15    2017-07-24 00:19:32 +0000   \n",
       "16    2017-07-23 00:22:39 +0000   \n",
       "17    2017-07-22 16:56:37 +0000   \n",
       "18    2017-07-22 00:23:06 +0000   \n",
       "19    2017-07-21 01:02:36 +0000   \n",
       "20    2017-07-20 16:49:33 +0000   \n",
       "21    2017-07-19 16:06:48 +0000   \n",
       "22    2017-07-19 03:39:09 +0000   \n",
       "23    2017-07-19 00:47:34 +0000   \n",
       "24    2017-07-18 16:08:03 +0000   \n",
       "25    2017-07-18 00:07:08 +0000   \n",
       "26    2017-07-17 16:17:36 +0000   \n",
       "27    2017-07-16 23:58:41 +0000   \n",
       "28    2017-07-16 20:14:00 +0000   \n",
       "29    2017-07-15 23:25:31 +0000   \n",
       "...                         ...   \n",
       "2326  2015-11-17 00:24:19 +0000   \n",
       "2327  2015-11-17 00:06:54 +0000   \n",
       "2328  2015-11-16 23:23:41 +0000   \n",
       "2329  2015-11-16 21:54:18 +0000   \n",
       "2330  2015-11-16 21:10:36 +0000   \n",
       "2331  2015-11-16 20:32:58 +0000   \n",
       "2332  2015-11-16 20:01:42 +0000   \n",
       "2333  2015-11-16 19:31:45 +0000   \n",
       "2334  2015-11-16 16:37:02 +0000   \n",
       "2335  2015-11-16 16:11:11 +0000   \n",
       "2336  2015-11-16 15:14:19 +0000   \n",
       "2337  2015-11-16 14:57:41 +0000   \n",
       "2338  2015-11-16 04:02:55 +0000   \n",
       "2339  2015-11-16 03:55:04 +0000   \n",
       "2340  2015-11-16 03:44:34 +0000   \n",
       "2341  2015-11-16 03:22:39 +0000   \n",
       "2342  2015-11-16 02:38:37 +0000   \n",
       "2343  2015-11-16 01:59:36 +0000   \n",
       "2344  2015-11-16 01:52:02 +0000   \n",
       "2345  2015-11-16 01:22:45 +0000   \n",
       "2346  2015-11-16 01:01:59 +0000   \n",
       "2347  2015-11-16 00:55:59 +0000   \n",
       "2348  2015-11-16 00:49:46 +0000   \n",
       "2349  2015-11-16 00:35:11 +0000   \n",
       "2350  2015-11-16 00:30:50 +0000   \n",
       "2351  2015-11-16 00:24:50 +0000   \n",
       "2352  2015-11-16 00:04:52 +0000   \n",
       "2353  2015-11-15 23:21:54 +0000   \n",
       "2354  2015-11-15 23:05:30 +0000   \n",
       "2355  2015-11-15 22:32:08 +0000   \n",
       "\n",
       "                                                 source  \\\n",
       "0     <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "1     <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2     <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "3     <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "4     <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "5     <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "6     <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7     <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "8     <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "9     <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "10    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "11    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "12    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "13    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "14    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "15    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "16    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "17    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "18    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "19    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "20    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "21    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "22    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "23    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "24    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "25    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "26    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "27    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "28    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "29    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "...                                                 ...   \n",
       "2326  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2327  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2328  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2329  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2330  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2331  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2332  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2333  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2334  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2335  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2336  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2337  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2338  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2339  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2340  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2341  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2342  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2343  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2344  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2345  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2346  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2347  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2348  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2349  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2350  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2351  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2352  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2353  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2354  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2355  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "\n",
       "                                                   text  retweeted_status_id  \\\n",
       "0     This is Phineas. He's a mystical boy. Only eve...                  NaN   \n",
       "1     This is Tilly. She's just checking pup on you....                  NaN   \n",
       "2     This is Archie. He is a rare Norwegian Pouncin...                  NaN   \n",
       "3     This is Darla. She commenced a snooze mid meal...                  NaN   \n",
       "4     This is Franklin. He would like you to stop ca...                  NaN   \n",
       "5     Here we have a majestic great white breaching ...                  NaN   \n",
       "6     Meet Jax. He enjoys ice cream so much he gets ...                  NaN   \n",
       "7     When you watch your owner call another dog a g...                  NaN   \n",
       "8     This is Zoey. She doesn't want to be one of th...                  NaN   \n",
       "9     This is Cassie. She is a college pup. Studying...                  NaN   \n",
       "10    This is Koda. He is a South Australian decksha...                  NaN   \n",
       "11    This is Bruno. He is a service shark. Only get...                  NaN   \n",
       "12    Here's a puppo that seems to be on the fence a...                  NaN   \n",
       "13    This is Ted. He does his best. Sometimes that'...                  NaN   \n",
       "14    This is Stuart. He's sporting his favorite fan...                  NaN   \n",
       "15    This is Oliver. You're witnessing one of his m...                  NaN   \n",
       "16    This is Jim. He found a fren. Taught him how t...                  NaN   \n",
       "17    This is Zeke. He has a new stick. Very proud o...                  NaN   \n",
       "18    This is Ralphus. He's powering up. Attempting ...                  NaN   \n",
       "19    RT @dog_rates: This is Canela. She attempted s...         8.874740e+17   \n",
       "20    This is Gerald. He was just told he didn't get...                  NaN   \n",
       "21    This is Jeffrey. He has a monopoly on the pool...                  NaN   \n",
       "22    I've yet to rate a Venezuelan Hover Wiener. Th...                  NaN   \n",
       "23    This is Canela. She attempted some fancy porch...                  NaN   \n",
       "24    You may not have known you needed to see this ...                  NaN   \n",
       "25    This... is a Jubilant Antarctic House Bear. We...                  NaN   \n",
       "26    This is Maya. She's very shy. Rarely leaves he...                  NaN   \n",
       "27    This is Mingus. He's a wonderful father to his...                  NaN   \n",
       "28    This is Derek. He's late for a dog meeting. 13...                  NaN   \n",
       "29    This is Roscoe. Another pupper fallen victim t...                  NaN   \n",
       "...                                                 ...                  ...   \n",
       "2326  This is quite the dog. Gets really excited whe...                  NaN   \n",
       "2327  This is a southern Vesuvius bumblegruff. Can d...                  NaN   \n",
       "2328  Oh goodness. A super rare northeast Qdoba kang...                  NaN   \n",
       "2329  Those are sunglasses and a jean jacket. 11/10 ...                  NaN   \n",
       "2330  Unique dog here. Very small. Lives in containe...                  NaN   \n",
       "2331  Here we have a mixed Asiago from the Galápagos...                  NaN   \n",
       "2332  Look at this jokester thinking seat belt laws ...                  NaN   \n",
       "2333  This is an extremely rare horned Parthenon. No...                  NaN   \n",
       "2334  This is a funny dog. Weird toes. Won't come do...                  NaN   \n",
       "2335  This is an Albanian 3 1/2 legged  Episcopalian...                  NaN   \n",
       "2336     Can take selfies 11/10 https://t.co/ws2AMaNwPW                  NaN   \n",
       "2337  Very concerned about fellow dog trapped in com...                  NaN   \n",
       "2338  Not familiar with this breed. No tail (weird)....                  NaN   \n",
       "2339  Oh my. Here you are seeing an Adobe Setter giv...                  NaN   \n",
       "2340  Can stand on stump for what seems like a while...                  NaN   \n",
       "2341  This appears to be a Mongolian Presbyterian mi...                  NaN   \n",
       "2342  Here we have a well-established sunblockerspan...                  NaN   \n",
       "2343  Let's hope this flight isn't Malaysian (lol). ...                  NaN   \n",
       "2344  Here we have a northern speckled Rhododendron....                  NaN   \n",
       "2345  This is the happiest dog you will ever see. Ve...                  NaN   \n",
       "2346  Here is the Rand Paul of retrievers folks! He'...                  NaN   \n",
       "2347  My oh my. This is a rare blond Canadian terrie...                  NaN   \n",
       "2348  Here is a Siberian heavily armored polar bear ...                  NaN   \n",
       "2349  This is an odd dog. Hard on the outside but lo...                  NaN   \n",
       "2350  This is a truly beautiful English Wilson Staff...                  NaN   \n",
       "2351  Here we have a 1949 1st generation vulpix. Enj...                  NaN   \n",
       "2352  This is a purebred Piers Morgan. Loves to Netf...                  NaN   \n",
       "2353  Here is a very happy pup. Big fan of well-main...                  NaN   \n",
       "2354  This is a western brown Mitsubishi terrier. Up...                  NaN   \n",
       "2355  Here we have a Japanese Irish Setter. Lost eye...                  NaN   \n",
       "\n",
       "      retweeted_status_user_id retweeted_status_timestamp  \\\n",
       "0                          NaN                        NaN   \n",
       "1                          NaN                        NaN   \n",
       "2                          NaN                        NaN   \n",
       "3                          NaN                        NaN   \n",
       "4                          NaN                        NaN   \n",
       "5                          NaN                        NaN   \n",
       "6                          NaN                        NaN   \n",
       "7                          NaN                        NaN   \n",
       "8                          NaN                        NaN   \n",
       "9                          NaN                        NaN   \n",
       "10                         NaN                        NaN   \n",
       "11                         NaN                        NaN   \n",
       "12                         NaN                        NaN   \n",
       "13                         NaN                        NaN   \n",
       "14                         NaN                        NaN   \n",
       "15                         NaN                        NaN   \n",
       "16                         NaN                        NaN   \n",
       "17                         NaN                        NaN   \n",
       "18                         NaN                        NaN   \n",
       "19                4.196984e+09  2017-07-19 00:47:34 +0000   \n",
       "20                         NaN                        NaN   \n",
       "21                         NaN                        NaN   \n",
       "22                         NaN                        NaN   \n",
       "23                         NaN                        NaN   \n",
       "24                         NaN                        NaN   \n",
       "25                         NaN                        NaN   \n",
       "26                         NaN                        NaN   \n",
       "27                         NaN                        NaN   \n",
       "28                         NaN                        NaN   \n",
       "29                         NaN                        NaN   \n",
       "...                        ...                        ...   \n",
       "2326                       NaN                        NaN   \n",
       "2327                       NaN                        NaN   \n",
       "2328                       NaN                        NaN   \n",
       "2329                       NaN                        NaN   \n",
       "2330                       NaN                        NaN   \n",
       "2331                       NaN                        NaN   \n",
       "2332                       NaN                        NaN   \n",
       "2333                       NaN                        NaN   \n",
       "2334                       NaN                        NaN   \n",
       "2335                       NaN                        NaN   \n",
       "2336                       NaN                        NaN   \n",
       "2337                       NaN                        NaN   \n",
       "2338                       NaN                        NaN   \n",
       "2339                       NaN                        NaN   \n",
       "2340                       NaN                        NaN   \n",
       "2341                       NaN                        NaN   \n",
       "2342                       NaN                        NaN   \n",
       "2343                       NaN                        NaN   \n",
       "2344                       NaN                        NaN   \n",
       "2345                       NaN                        NaN   \n",
       "2346                       NaN                        NaN   \n",
       "2347                       NaN                        NaN   \n",
       "2348                       NaN                        NaN   \n",
       "2349                       NaN                        NaN   \n",
       "2350                       NaN                        NaN   \n",
       "2351                       NaN                        NaN   \n",
       "2352                       NaN                        NaN   \n",
       "2353                       NaN                        NaN   \n",
       "2354                       NaN                        NaN   \n",
       "2355                       NaN                        NaN   \n",
       "\n",
       "                                          expanded_urls  rating_numerator  \\\n",
       "0     https://twitter.com/dog_rates/status/892420643...                13   \n",
       "1     https://twitter.com/dog_rates/status/892177421...                13   \n",
       "2     https://twitter.com/dog_rates/status/891815181...                12   \n",
       "3     https://twitter.com/dog_rates/status/891689557...                13   \n",
       "4     https://twitter.com/dog_rates/status/891327558...                12   \n",
       "5     https://twitter.com/dog_rates/status/891087950...                13   \n",
       "6     https://gofundme.com/ydvmve-surgery-for-jax,ht...                13   \n",
       "7     https://twitter.com/dog_rates/status/890729181...                13   \n",
       "8     https://twitter.com/dog_rates/status/890609185...                13   \n",
       "9     https://twitter.com/dog_rates/status/890240255...                14   \n",
       "10    https://twitter.com/dog_rates/status/890006608...                13   \n",
       "11    https://twitter.com/dog_rates/status/889880896...                13   \n",
       "12    https://twitter.com/dog_rates/status/889665388...                13   \n",
       "13    https://twitter.com/dog_rates/status/889638837...                12   \n",
       "14    https://twitter.com/dog_rates/status/889531135...                13   \n",
       "15    https://twitter.com/dog_rates/status/889278841...                13   \n",
       "16    https://twitter.com/dog_rates/status/888917238...                12   \n",
       "17    https://twitter.com/dog_rates/status/888804989...                13   \n",
       "18    https://twitter.com/dog_rates/status/888554962...                13   \n",
       "19    https://twitter.com/dog_rates/status/887473957...                13   \n",
       "20    https://twitter.com/dog_rates/status/888078434...                12   \n",
       "21    https://twitter.com/dog_rates/status/887705289...                13   \n",
       "22    https://twitter.com/dog_rates/status/887517139...                14   \n",
       "23    https://twitter.com/dog_rates/status/887473957...                13   \n",
       "24    https://twitter.com/dog_rates/status/887343217...                13   \n",
       "25    https://twitter.com/dog_rates/status/887101392...                12   \n",
       "26    https://twitter.com/dog_rates/status/886983233...                13   \n",
       "27    https://www.gofundme.com/mingusneedsus,https:/...                13   \n",
       "28    https://twitter.com/dog_rates/status/886680336...                13   \n",
       "29    https://twitter.com/dog_rates/status/886366144...                12   \n",
       "...                                                 ...               ...   \n",
       "2326  https://twitter.com/dog_rates/status/666411507...                 2   \n",
       "2327  https://twitter.com/dog_rates/status/666407126...                 7   \n",
       "2328  https://twitter.com/dog_rates/status/666396247...                 9   \n",
       "2329  https://twitter.com/dog_rates/status/666373753...                11   \n",
       "2330  https://twitter.com/dog_rates/status/666362758...                 6   \n",
       "2331  https://twitter.com/dog_rates/status/666353288...                 8   \n",
       "2332  https://twitter.com/dog_rates/status/666345417...                10   \n",
       "2333  https://twitter.com/dog_rates/status/666337882...                 9   \n",
       "2334  https://twitter.com/dog_rates/status/666293911...                 3   \n",
       "2335  https://twitter.com/dog_rates/status/666287406...                 1   \n",
       "2336  https://twitter.com/dog_rates/status/666273097...                11   \n",
       "2337  https://twitter.com/dog_rates/status/666268910...                10   \n",
       "2338  https://twitter.com/dog_rates/status/666104133...                 1   \n",
       "2339  https://twitter.com/dog_rates/status/666102155...                11   \n",
       "2340  https://twitter.com/dog_rates/status/666099513...                 8   \n",
       "2341  https://twitter.com/dog_rates/status/666094000...                 9   \n",
       "2342  https://twitter.com/dog_rates/status/666082916...                 6   \n",
       "2343  https://twitter.com/dog_rates/status/666073100...                10   \n",
       "2344  https://twitter.com/dog_rates/status/666071193...                 9   \n",
       "2345  https://twitter.com/dog_rates/status/666063827...                10   \n",
       "2346  https://twitter.com/dog_rates/status/666058600...                 8   \n",
       "2347  https://twitter.com/dog_rates/status/666057090...                 9   \n",
       "2348  https://twitter.com/dog_rates/status/666055525...                10   \n",
       "2349  https://twitter.com/dog_rates/status/666051853...                 2   \n",
       "2350  https://twitter.com/dog_rates/status/666050758...                10   \n",
       "2351  https://twitter.com/dog_rates/status/666049248...                 5   \n",
       "2352  https://twitter.com/dog_rates/status/666044226...                 6   \n",
       "2353  https://twitter.com/dog_rates/status/666033412...                 9   \n",
       "2354  https://twitter.com/dog_rates/status/666029285...                 7   \n",
       "2355  https://twitter.com/dog_rates/status/666020888...                 8   \n",
       "\n",
       "      rating_denominator      name  doggo floofer  pupper  puppo  \n",
       "0                     10   Phineas   None    None    None   None  \n",
       "1                     10     Tilly   None    None    None   None  \n",
       "2                     10    Archie   None    None    None   None  \n",
       "3                     10     Darla   None    None    None   None  \n",
       "4                     10  Franklin   None    None    None   None  \n",
       "5                     10      None   None    None    None   None  \n",
       "6                     10       Jax   None    None    None   None  \n",
       "7                     10      None   None    None    None   None  \n",
       "8                     10      Zoey   None    None    None   None  \n",
       "9                     10    Cassie  doggo    None    None   None  \n",
       "10                    10      Koda   None    None    None   None  \n",
       "11                    10     Bruno   None    None    None   None  \n",
       "12                    10      None   None    None    None  puppo  \n",
       "13                    10       Ted   None    None    None   None  \n",
       "14                    10    Stuart   None    None    None  puppo  \n",
       "15                    10    Oliver   None    None    None   None  \n",
       "16                    10       Jim   None    None    None   None  \n",
       "17                    10      Zeke   None    None    None   None  \n",
       "18                    10   Ralphus   None    None    None   None  \n",
       "19                    10    Canela   None    None    None   None  \n",
       "20                    10    Gerald   None    None    None   None  \n",
       "21                    10   Jeffrey   None    None    None   None  \n",
       "22                    10      such   None    None    None   None  \n",
       "23                    10    Canela   None    None    None   None  \n",
       "24                    10      None   None    None    None   None  \n",
       "25                    10      None   None    None    None   None  \n",
       "26                    10      Maya   None    None    None   None  \n",
       "27                    10    Mingus   None    None    None   None  \n",
       "28                    10     Derek   None    None    None   None  \n",
       "29                    10    Roscoe   None    None  pupper   None  \n",
       "...                  ...       ...    ...     ...     ...    ...  \n",
       "2326                  10     quite   None    None    None   None  \n",
       "2327                  10         a   None    None    None   None  \n",
       "2328                  10      None   None    None    None   None  \n",
       "2329                  10      None   None    None    None   None  \n",
       "2330                  10      None   None    None    None   None  \n",
       "2331                  10      None   None    None    None   None  \n",
       "2332                  10      None   None    None    None   None  \n",
       "2333                  10        an   None    None    None   None  \n",
       "2334                  10         a   None    None    None   None  \n",
       "2335                   2        an   None    None    None   None  \n",
       "2336                  10      None   None    None    None   None  \n",
       "2337                  10      None   None    None    None   None  \n",
       "2338                  10      None   None    None    None   None  \n",
       "2339                  10      None   None    None    None   None  \n",
       "2340                  10      None   None    None    None   None  \n",
       "2341                  10      None   None    None    None   None  \n",
       "2342                  10      None   None    None    None   None  \n",
       "2343                  10      None   None    None    None   None  \n",
       "2344                  10      None   None    None    None   None  \n",
       "2345                  10       the   None    None    None   None  \n",
       "2346                  10       the   None    None    None   None  \n",
       "2347                  10         a   None    None    None   None  \n",
       "2348                  10         a   None    None    None   None  \n",
       "2349                  10        an   None    None    None   None  \n",
       "2350                  10         a   None    None    None   None  \n",
       "2351                  10      None   None    None    None   None  \n",
       "2352                  10         a   None    None    None   None  \n",
       "2353                  10         a   None    None    None   None  \n",
       "2354                  10         a   None    None    None   None  \n",
       "2355                  10      None   None    None    None   None  \n",
       "\n",
       "[2356 rows x 17 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#displaying the twitter_archive table\n",
    "twitter_archive"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Twitter_archive** Columns <br>\n",
    "* **tweet_id**:ID marker for each of the timeline author's original tweets\n",
    "* **in_reply_to_status_id**:ID marker for a tweet from another timeline that led to the author's response\n",
    "* **in_reply_to_user_id**:The author of the tweet that resulted in the reply tweet\n",
    "* **timestamp**: Timestamp based on the timeline author's declared location\n",
    "* **source**:The platform or framework used to create and send the tweet (Android,Iphone,webclient etc)\n",
    "* **text**: The actual body of a tweet(The actual UTF-8 text of the status update)\n",
    "* **retweeted_status_id**:The tweet id of a retweet taken from its original timeline\n",
    "* **retweeted_status_user_id**:The identity of the author being retweeted\n",
    "* **retweeted_status_timestamp**:Date stamp for the retweeted tweet\n",
    "* **expanded_urls**:Where the URL has been shortened by Twitter using the t.co address, the full URL is published here.\n",
    "* **rating_numerator**: The numerator rating with a value greater than 10, because there are no bad dogs.\n",
    "* **rating_denominator**: The denomiantor rating with a constant value of 10.\n",
    "* **name**: the name of the dog\n",
    "* **doggo**: one of the four dog stages present in the dataset, which means a dog is a big pupper .\n",
    "* **floofer**: one of the four dog stages present in the dataset which is any dog with plenty fur\n",
    "* **pupper**: one of the four dog stages  present in the dataset , a small doggo and usually younger \n",
    "* **puppo**: one of the four dog stages  present  in the dataset which is considered as the teen phase of a dog\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>tweet_id</th>\n",
       "      <th>jpg_url</th>\n",
       "      <th>img_num</th>\n",
       "      <th>p1</th>\n",
       "      <th>p1_conf</th>\n",
       "      <th>p1_dog</th>\n",
       "      <th>p2</th>\n",
       "      <th>p2_conf</th>\n",
       "      <th>p2_dog</th>\n",
       "      <th>p3</th>\n",
       "      <th>p3_conf</th>\n",
       "      <th>p3_dog</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>666020888022790149</td>\n",
       "      <td>https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Welsh_springer_spaniel</td>\n",
       "      <td>0.465074</td>\n",
       "      <td>True</td>\n",
       "      <td>collie</td>\n",
       "      <td>0.156665</td>\n",
       "      <td>True</td>\n",
       "      <td>Shetland_sheepdog</td>\n",
       "      <td>0.061428</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>666029285002620928</td>\n",
       "      <td>https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>redbone</td>\n",
       "      <td>0.506826</td>\n",
       "      <td>True</td>\n",
       "      <td>miniature_pinscher</td>\n",
       "      <td>0.074192</td>\n",
       "      <td>True</td>\n",
       "      <td>Rhodesian_ridgeback</td>\n",
       "      <td>0.072010</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>666033412701032449</td>\n",
       "      <td>https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>German_shepherd</td>\n",
       "      <td>0.596461</td>\n",
       "      <td>True</td>\n",
       "      <td>malinois</td>\n",
       "      <td>0.138584</td>\n",
       "      <td>True</td>\n",
       "      <td>bloodhound</td>\n",
       "      <td>0.116197</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>666044226329800704</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Rhodesian_ridgeback</td>\n",
       "      <td>0.408143</td>\n",
       "      <td>True</td>\n",
       "      <td>redbone</td>\n",
       "      <td>0.360687</td>\n",
       "      <td>True</td>\n",
       "      <td>miniature_pinscher</td>\n",
       "      <td>0.222752</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>666049248165822465</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>miniature_pinscher</td>\n",
       "      <td>0.560311</td>\n",
       "      <td>True</td>\n",
       "      <td>Rottweiler</td>\n",
       "      <td>0.243682</td>\n",
       "      <td>True</td>\n",
       "      <td>Doberman</td>\n",
       "      <td>0.154629</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>666050758794694657</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Jof1WUAEuVxN.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Bernese_mountain_dog</td>\n",
       "      <td>0.651137</td>\n",
       "      <td>True</td>\n",
       "      <td>English_springer</td>\n",
       "      <td>0.263788</td>\n",
       "      <td>True</td>\n",
       "      <td>Greater_Swiss_Mountain_dog</td>\n",
       "      <td>0.016199</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>666051853826850816</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5KoJ1WoAAJash.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>box_turtle</td>\n",
       "      <td>0.933012</td>\n",
       "      <td>False</td>\n",
       "      <td>mud_turtle</td>\n",
       "      <td>0.045885</td>\n",
       "      <td>False</td>\n",
       "      <td>terrapin</td>\n",
       "      <td>0.017885</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>666055525042405380</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5N9tpXIAAifs1.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>chow</td>\n",
       "      <td>0.692517</td>\n",
       "      <td>True</td>\n",
       "      <td>Tibetan_mastiff</td>\n",
       "      <td>0.058279</td>\n",
       "      <td>True</td>\n",
       "      <td>fur_coat</td>\n",
       "      <td>0.054449</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>666057090499244032</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5PY90WoAAQGLo.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>shopping_cart</td>\n",
       "      <td>0.962465</td>\n",
       "      <td>False</td>\n",
       "      <td>shopping_basket</td>\n",
       "      <td>0.014594</td>\n",
       "      <td>False</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.007959</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>666058600524156928</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Qw94XAAA_2dP.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>miniature_poodle</td>\n",
       "      <td>0.201493</td>\n",
       "      <td>True</td>\n",
       "      <td>komondor</td>\n",
       "      <td>0.192305</td>\n",
       "      <td>True</td>\n",
       "      <td>soft-coated_wheaten_terrier</td>\n",
       "      <td>0.082086</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>666063827256086533</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Vg_wXIAAXfnj.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.775930</td>\n",
       "      <td>True</td>\n",
       "      <td>Tibetan_mastiff</td>\n",
       "      <td>0.093718</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.072427</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>666071193221509120</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5cN_3WEAAlOoZ.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Gordon_setter</td>\n",
       "      <td>0.503672</td>\n",
       "      <td>True</td>\n",
       "      <td>Yorkshire_terrier</td>\n",
       "      <td>0.174201</td>\n",
       "      <td>True</td>\n",
       "      <td>Pekinese</td>\n",
       "      <td>0.109454</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>666073100786774016</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5d9DZXAAALcwe.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Walker_hound</td>\n",
       "      <td>0.260857</td>\n",
       "      <td>True</td>\n",
       "      <td>English_foxhound</td>\n",
       "      <td>0.175382</td>\n",
       "      <td>True</td>\n",
       "      <td>Ibizan_hound</td>\n",
       "      <td>0.097471</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>666082916733198337</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5m4VGWEAAtKc8.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>pug</td>\n",
       "      <td>0.489814</td>\n",
       "      <td>True</td>\n",
       "      <td>bull_mastiff</td>\n",
       "      <td>0.404722</td>\n",
       "      <td>True</td>\n",
       "      <td>French_bulldog</td>\n",
       "      <td>0.048960</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>666094000022159362</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5w9gUW4AAsBNN.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>bloodhound</td>\n",
       "      <td>0.195217</td>\n",
       "      <td>True</td>\n",
       "      <td>German_shepherd</td>\n",
       "      <td>0.078260</td>\n",
       "      <td>True</td>\n",
       "      <td>malinois</td>\n",
       "      <td>0.075628</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>666099513787052032</td>\n",
       "      <td>https://pbs.twimg.com/media/CT51-JJUEAA6hV8.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Lhasa</td>\n",
       "      <td>0.582330</td>\n",
       "      <td>True</td>\n",
       "      <td>Shih-Tzu</td>\n",
       "      <td>0.166192</td>\n",
       "      <td>True</td>\n",
       "      <td>Dandie_Dinmont</td>\n",
       "      <td>0.089688</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>666102155909144576</td>\n",
       "      <td>https://pbs.twimg.com/media/CT54YGiWUAEZnoK.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>English_setter</td>\n",
       "      <td>0.298617</td>\n",
       "      <td>True</td>\n",
       "      <td>Newfoundland</td>\n",
       "      <td>0.149842</td>\n",
       "      <td>True</td>\n",
       "      <td>borzoi</td>\n",
       "      <td>0.133649</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>666104133288665088</td>\n",
       "      <td>https://pbs.twimg.com/media/CT56LSZWoAAlJj2.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>hen</td>\n",
       "      <td>0.965932</td>\n",
       "      <td>False</td>\n",
       "      <td>cock</td>\n",
       "      <td>0.033919</td>\n",
       "      <td>False</td>\n",
       "      <td>partridge</td>\n",
       "      <td>0.000052</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>666268910803644416</td>\n",
       "      <td>https://pbs.twimg.com/media/CT8QCd1WEAADXws.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>desktop_computer</td>\n",
       "      <td>0.086502</td>\n",
       "      <td>False</td>\n",
       "      <td>desk</td>\n",
       "      <td>0.085547</td>\n",
       "      <td>False</td>\n",
       "      <td>bookcase</td>\n",
       "      <td>0.079480</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>666273097616637952</td>\n",
       "      <td>https://pbs.twimg.com/media/CT8T1mtUwAA3aqm.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Italian_greyhound</td>\n",
       "      <td>0.176053</td>\n",
       "      <td>True</td>\n",
       "      <td>toy_terrier</td>\n",
       "      <td>0.111884</td>\n",
       "      <td>True</td>\n",
       "      <td>basenji</td>\n",
       "      <td>0.111152</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>666287406224695296</td>\n",
       "      <td>https://pbs.twimg.com/media/CT8g3BpUEAAuFjg.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Maltese_dog</td>\n",
       "      <td>0.857531</td>\n",
       "      <td>True</td>\n",
       "      <td>toy_poodle</td>\n",
       "      <td>0.063064</td>\n",
       "      <td>True</td>\n",
       "      <td>miniature_poodle</td>\n",
       "      <td>0.025581</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>666293911632134144</td>\n",
       "      <td>https://pbs.twimg.com/media/CT8mx7KW4AEQu8N.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>three-toed_sloth</td>\n",
       "      <td>0.914671</td>\n",
       "      <td>False</td>\n",
       "      <td>otter</td>\n",
       "      <td>0.015250</td>\n",
       "      <td>False</td>\n",
       "      <td>great_grey_owl</td>\n",
       "      <td>0.013207</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>666337882303524864</td>\n",
       "      <td>https://pbs.twimg.com/media/CT9OwFIWEAMuRje.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>ox</td>\n",
       "      <td>0.416669</td>\n",
       "      <td>False</td>\n",
       "      <td>Newfoundland</td>\n",
       "      <td>0.278407</td>\n",
       "      <td>True</td>\n",
       "      <td>groenendael</td>\n",
       "      <td>0.102643</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>666345417576210432</td>\n",
       "      <td>https://pbs.twimg.com/media/CT9Vn7PWoAA_ZCM.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.858744</td>\n",
       "      <td>True</td>\n",
       "      <td>Chesapeake_Bay_retriever</td>\n",
       "      <td>0.054787</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.014241</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>666353288456101888</td>\n",
       "      <td>https://pbs.twimg.com/media/CT9cx0tUEAAhNN_.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>malamute</td>\n",
       "      <td>0.336874</td>\n",
       "      <td>True</td>\n",
       "      <td>Siberian_husky</td>\n",
       "      <td>0.147655</td>\n",
       "      <td>True</td>\n",
       "      <td>Eskimo_dog</td>\n",
       "      <td>0.093412</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>666362758909284353</td>\n",
       "      <td>https://pbs.twimg.com/media/CT9lXGsUcAAyUFt.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>guinea_pig</td>\n",
       "      <td>0.996496</td>\n",
       "      <td>False</td>\n",
       "      <td>skunk</td>\n",
       "      <td>0.002402</td>\n",
       "      <td>False</td>\n",
       "      <td>hamster</td>\n",
       "      <td>0.000461</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>666373753744588802</td>\n",
       "      <td>https://pbs.twimg.com/media/CT9vZEYWUAAlZ05.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>soft-coated_wheaten_terrier</td>\n",
       "      <td>0.326467</td>\n",
       "      <td>True</td>\n",
       "      <td>Afghan_hound</td>\n",
       "      <td>0.259551</td>\n",
       "      <td>True</td>\n",
       "      <td>briard</td>\n",
       "      <td>0.206803</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>666396247373291520</td>\n",
       "      <td>https://pbs.twimg.com/media/CT-D2ZHWIAA3gK1.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.978108</td>\n",
       "      <td>True</td>\n",
       "      <td>toy_terrier</td>\n",
       "      <td>0.009397</td>\n",
       "      <td>True</td>\n",
       "      <td>papillon</td>\n",
       "      <td>0.004577</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>666407126856765440</td>\n",
       "      <td>https://pbs.twimg.com/media/CT-NvwmW4AAugGZ.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>black-and-tan_coonhound</td>\n",
       "      <td>0.529139</td>\n",
       "      <td>True</td>\n",
       "      <td>bloodhound</td>\n",
       "      <td>0.244220</td>\n",
       "      <td>True</td>\n",
       "      <td>flat-coated_retriever</td>\n",
       "      <td>0.173810</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>666411507551481857</td>\n",
       "      <td>https://pbs.twimg.com/media/CT-RugiWIAELEaq.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>coho</td>\n",
       "      <td>0.404640</td>\n",
       "      <td>False</td>\n",
       "      <td>barracouta</td>\n",
       "      <td>0.271485</td>\n",
       "      <td>False</td>\n",
       "      <td>gar</td>\n",
       "      <td>0.189945</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2045</th>\n",
       "      <td>886366144734445568</td>\n",
       "      <td>https://pbs.twimg.com/media/DE0BTnQUwAApKEH.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>French_bulldog</td>\n",
       "      <td>0.999201</td>\n",
       "      <td>True</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.000361</td>\n",
       "      <td>True</td>\n",
       "      <td>Boston_bull</td>\n",
       "      <td>0.000076</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2046</th>\n",
       "      <td>886680336477933568</td>\n",
       "      <td>https://pbs.twimg.com/media/DE4fEDzWAAAyHMM.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>convertible</td>\n",
       "      <td>0.738995</td>\n",
       "      <td>False</td>\n",
       "      <td>sports_car</td>\n",
       "      <td>0.139952</td>\n",
       "      <td>False</td>\n",
       "      <td>car_wheel</td>\n",
       "      <td>0.044173</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2047</th>\n",
       "      <td>886736880519319552</td>\n",
       "      <td>https://pbs.twimg.com/media/DE5Se8FXcAAJFx4.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>kuvasz</td>\n",
       "      <td>0.309706</td>\n",
       "      <td>True</td>\n",
       "      <td>Great_Pyrenees</td>\n",
       "      <td>0.186136</td>\n",
       "      <td>True</td>\n",
       "      <td>Dandie_Dinmont</td>\n",
       "      <td>0.086346</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2048</th>\n",
       "      <td>886983233522544640</td>\n",
       "      <td>https://pbs.twimg.com/media/DE8yicJW0AAAvBJ.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.793469</td>\n",
       "      <td>True</td>\n",
       "      <td>toy_terrier</td>\n",
       "      <td>0.143528</td>\n",
       "      <td>True</td>\n",
       "      <td>can_opener</td>\n",
       "      <td>0.032253</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2049</th>\n",
       "      <td>887101392804085760</td>\n",
       "      <td>https://pbs.twimg.com/media/DE-eAq6UwAA-jaE.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Samoyed</td>\n",
       "      <td>0.733942</td>\n",
       "      <td>True</td>\n",
       "      <td>Eskimo_dog</td>\n",
       "      <td>0.035029</td>\n",
       "      <td>True</td>\n",
       "      <td>Staffordshire_bullterrier</td>\n",
       "      <td>0.029705</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2050</th>\n",
       "      <td>887343217045368832</td>\n",
       "      <td>https://pbs.twimg.com/ext_tw_video_thumb/88734...</td>\n",
       "      <td>1</td>\n",
       "      <td>Mexican_hairless</td>\n",
       "      <td>0.330741</td>\n",
       "      <td>True</td>\n",
       "      <td>sea_lion</td>\n",
       "      <td>0.275645</td>\n",
       "      <td>False</td>\n",
       "      <td>Weimaraner</td>\n",
       "      <td>0.134203</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2051</th>\n",
       "      <td>887473957103951883</td>\n",
       "      <td>https://pbs.twimg.com/media/DFDw2tyUQAAAFke.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>Pembroke</td>\n",
       "      <td>0.809197</td>\n",
       "      <td>True</td>\n",
       "      <td>Rhodesian_ridgeback</td>\n",
       "      <td>0.054950</td>\n",
       "      <td>True</td>\n",
       "      <td>beagle</td>\n",
       "      <td>0.038915</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2052</th>\n",
       "      <td>887517139158093824</td>\n",
       "      <td>https://pbs.twimg.com/ext_tw_video_thumb/88751...</td>\n",
       "      <td>1</td>\n",
       "      <td>limousine</td>\n",
       "      <td>0.130432</td>\n",
       "      <td>False</td>\n",
       "      <td>tow_truck</td>\n",
       "      <td>0.029175</td>\n",
       "      <td>False</td>\n",
       "      <td>shopping_cart</td>\n",
       "      <td>0.026321</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2053</th>\n",
       "      <td>887705289381826560</td>\n",
       "      <td>https://pbs.twimg.com/media/DFHDQBbXgAEqY7t.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>basset</td>\n",
       "      <td>0.821664</td>\n",
       "      <td>True</td>\n",
       "      <td>redbone</td>\n",
       "      <td>0.087582</td>\n",
       "      <td>True</td>\n",
       "      <td>Weimaraner</td>\n",
       "      <td>0.026236</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2054</th>\n",
       "      <td>888078434458587136</td>\n",
       "      <td>https://pbs.twimg.com/media/DFMWn56WsAAkA7B.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>French_bulldog</td>\n",
       "      <td>0.995026</td>\n",
       "      <td>True</td>\n",
       "      <td>pug</td>\n",
       "      <td>0.000932</td>\n",
       "      <td>True</td>\n",
       "      <td>bull_mastiff</td>\n",
       "      <td>0.000903</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2055</th>\n",
       "      <td>888202515573088257</td>\n",
       "      <td>https://pbs.twimg.com/media/DFDw2tyUQAAAFke.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>Pembroke</td>\n",
       "      <td>0.809197</td>\n",
       "      <td>True</td>\n",
       "      <td>Rhodesian_ridgeback</td>\n",
       "      <td>0.054950</td>\n",
       "      <td>True</td>\n",
       "      <td>beagle</td>\n",
       "      <td>0.038915</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2056</th>\n",
       "      <td>888554962724278272</td>\n",
       "      <td>https://pbs.twimg.com/media/DFTH_O-UQAACu20.jpg</td>\n",
       "      <td>3</td>\n",
       "      <td>Siberian_husky</td>\n",
       "      <td>0.700377</td>\n",
       "      <td>True</td>\n",
       "      <td>Eskimo_dog</td>\n",
       "      <td>0.166511</td>\n",
       "      <td>True</td>\n",
       "      <td>malamute</td>\n",
       "      <td>0.111411</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2057</th>\n",
       "      <td>888804989199671297</td>\n",
       "      <td>https://pbs.twimg.com/media/DFWra-3VYAA2piG.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.469760</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.184172</td>\n",
       "      <td>True</td>\n",
       "      <td>English_setter</td>\n",
       "      <td>0.073482</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2058</th>\n",
       "      <td>888917238123831296</td>\n",
       "      <td>https://pbs.twimg.com/media/DFYRgsOUQAARGhO.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.714719</td>\n",
       "      <td>True</td>\n",
       "      <td>Tibetan_mastiff</td>\n",
       "      <td>0.120184</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.105506</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2059</th>\n",
       "      <td>889278841981685760</td>\n",
       "      <td>https://pbs.twimg.com/ext_tw_video_thumb/88927...</td>\n",
       "      <td>1</td>\n",
       "      <td>whippet</td>\n",
       "      <td>0.626152</td>\n",
       "      <td>True</td>\n",
       "      <td>borzoi</td>\n",
       "      <td>0.194742</td>\n",
       "      <td>True</td>\n",
       "      <td>Saluki</td>\n",
       "      <td>0.027351</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2060</th>\n",
       "      <td>889531135344209921</td>\n",
       "      <td>https://pbs.twimg.com/media/DFg_2PVW0AEHN3p.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.953442</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.013834</td>\n",
       "      <td>True</td>\n",
       "      <td>redbone</td>\n",
       "      <td>0.007958</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2061</th>\n",
       "      <td>889638837579907072</td>\n",
       "      <td>https://pbs.twimg.com/media/DFihzFfXsAYGDPR.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>French_bulldog</td>\n",
       "      <td>0.991650</td>\n",
       "      <td>True</td>\n",
       "      <td>boxer</td>\n",
       "      <td>0.002129</td>\n",
       "      <td>True</td>\n",
       "      <td>Staffordshire_bullterrier</td>\n",
       "      <td>0.001498</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2062</th>\n",
       "      <td>889665388333682689</td>\n",
       "      <td>https://pbs.twimg.com/media/DFi579UWsAAatzw.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Pembroke</td>\n",
       "      <td>0.966327</td>\n",
       "      <td>True</td>\n",
       "      <td>Cardigan</td>\n",
       "      <td>0.027356</td>\n",
       "      <td>True</td>\n",
       "      <td>basenji</td>\n",
       "      <td>0.004633</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2063</th>\n",
       "      <td>889880896479866881</td>\n",
       "      <td>https://pbs.twimg.com/media/DFl99B1WsAITKsg.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>French_bulldog</td>\n",
       "      <td>0.377417</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.151317</td>\n",
       "      <td>True</td>\n",
       "      <td>muzzle</td>\n",
       "      <td>0.082981</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2064</th>\n",
       "      <td>890006608113172480</td>\n",
       "      <td>https://pbs.twimg.com/media/DFnwSY4WAAAMliS.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Samoyed</td>\n",
       "      <td>0.957979</td>\n",
       "      <td>True</td>\n",
       "      <td>Pomeranian</td>\n",
       "      <td>0.013884</td>\n",
       "      <td>True</td>\n",
       "      <td>chow</td>\n",
       "      <td>0.008167</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2065</th>\n",
       "      <td>890240255349198849</td>\n",
       "      <td>https://pbs.twimg.com/media/DFrEyVuW0AAO3t9.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Pembroke</td>\n",
       "      <td>0.511319</td>\n",
       "      <td>True</td>\n",
       "      <td>Cardigan</td>\n",
       "      <td>0.451038</td>\n",
       "      <td>True</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.029248</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2066</th>\n",
       "      <td>890609185150312448</td>\n",
       "      <td>https://pbs.twimg.com/media/DFwUU__XcAEpyXI.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Irish_terrier</td>\n",
       "      <td>0.487574</td>\n",
       "      <td>True</td>\n",
       "      <td>Irish_setter</td>\n",
       "      <td>0.193054</td>\n",
       "      <td>True</td>\n",
       "      <td>Chesapeake_Bay_retriever</td>\n",
       "      <td>0.118184</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2067</th>\n",
       "      <td>890729181411237888</td>\n",
       "      <td>https://pbs.twimg.com/media/DFyBahAVwAAhUTd.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>Pomeranian</td>\n",
       "      <td>0.566142</td>\n",
       "      <td>True</td>\n",
       "      <td>Eskimo_dog</td>\n",
       "      <td>0.178406</td>\n",
       "      <td>True</td>\n",
       "      <td>Pembroke</td>\n",
       "      <td>0.076507</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2068</th>\n",
       "      <td>890971913173991426</td>\n",
       "      <td>https://pbs.twimg.com/media/DF1eOmZXUAALUcq.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Appenzeller</td>\n",
       "      <td>0.341703</td>\n",
       "      <td>True</td>\n",
       "      <td>Border_collie</td>\n",
       "      <td>0.199287</td>\n",
       "      <td>True</td>\n",
       "      <td>ice_lolly</td>\n",
       "      <td>0.193548</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2069</th>\n",
       "      <td>891087950875897856</td>\n",
       "      <td>https://pbs.twimg.com/media/DF3HwyEWsAABqE6.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Chesapeake_Bay_retriever</td>\n",
       "      <td>0.425595</td>\n",
       "      <td>True</td>\n",
       "      <td>Irish_terrier</td>\n",
       "      <td>0.116317</td>\n",
       "      <td>True</td>\n",
       "      <td>Indian_elephant</td>\n",
       "      <td>0.076902</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2070</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>basset</td>\n",
       "      <td>0.555712</td>\n",
       "      <td>True</td>\n",
       "      <td>English_springer</td>\n",
       "      <td>0.225770</td>\n",
       "      <td>True</td>\n",
       "      <td>German_short-haired_pointer</td>\n",
       "      <td>0.175219</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2071</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>paper_towel</td>\n",
       "      <td>0.170278</td>\n",
       "      <td>False</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.168086</td>\n",
       "      <td>True</td>\n",
       "      <td>spatula</td>\n",
       "      <td>0.040836</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2072</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.716012</td>\n",
       "      <td>True</td>\n",
       "      <td>malamute</td>\n",
       "      <td>0.078253</td>\n",
       "      <td>True</td>\n",
       "      <td>kelpie</td>\n",
       "      <td>0.031379</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2073</th>\n",
       "      <td>892177421306343426</td>\n",
       "      <td>https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.323581</td>\n",
       "      <td>True</td>\n",
       "      <td>Pekinese</td>\n",
       "      <td>0.090647</td>\n",
       "      <td>True</td>\n",
       "      <td>papillon</td>\n",
       "      <td>0.068957</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2074</th>\n",
       "      <td>892420643555336193</td>\n",
       "      <td>https://pbs.twimg.com/media/DGKD1-bXoAAIAUK.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>orange</td>\n",
       "      <td>0.097049</td>\n",
       "      <td>False</td>\n",
       "      <td>bagel</td>\n",
       "      <td>0.085851</td>\n",
       "      <td>False</td>\n",
       "      <td>banana</td>\n",
       "      <td>0.076110</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2075 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id                                            jpg_url  \\\n",
       "0     666020888022790149    https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg   \n",
       "1     666029285002620928    https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg   \n",
       "2     666033412701032449    https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg   \n",
       "3     666044226329800704    https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg   \n",
       "4     666049248165822465    https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg   \n",
       "5     666050758794694657    https://pbs.twimg.com/media/CT5Jof1WUAEuVxN.jpg   \n",
       "6     666051853826850816    https://pbs.twimg.com/media/CT5KoJ1WoAAJash.jpg   \n",
       "7     666055525042405380    https://pbs.twimg.com/media/CT5N9tpXIAAifs1.jpg   \n",
       "8     666057090499244032    https://pbs.twimg.com/media/CT5PY90WoAAQGLo.jpg   \n",
       "9     666058600524156928    https://pbs.twimg.com/media/CT5Qw94XAAA_2dP.jpg   \n",
       "10    666063827256086533    https://pbs.twimg.com/media/CT5Vg_wXIAAXfnj.jpg   \n",
       "11    666071193221509120    https://pbs.twimg.com/media/CT5cN_3WEAAlOoZ.jpg   \n",
       "12    666073100786774016    https://pbs.twimg.com/media/CT5d9DZXAAALcwe.jpg   \n",
       "13    666082916733198337    https://pbs.twimg.com/media/CT5m4VGWEAAtKc8.jpg   \n",
       "14    666094000022159362    https://pbs.twimg.com/media/CT5w9gUW4AAsBNN.jpg   \n",
       "15    666099513787052032    https://pbs.twimg.com/media/CT51-JJUEAA6hV8.jpg   \n",
       "16    666102155909144576    https://pbs.twimg.com/media/CT54YGiWUAEZnoK.jpg   \n",
       "17    666104133288665088    https://pbs.twimg.com/media/CT56LSZWoAAlJj2.jpg   \n",
       "18    666268910803644416    https://pbs.twimg.com/media/CT8QCd1WEAADXws.jpg   \n",
       "19    666273097616637952    https://pbs.twimg.com/media/CT8T1mtUwAA3aqm.jpg   \n",
       "20    666287406224695296    https://pbs.twimg.com/media/CT8g3BpUEAAuFjg.jpg   \n",
       "21    666293911632134144    https://pbs.twimg.com/media/CT8mx7KW4AEQu8N.jpg   \n",
       "22    666337882303524864    https://pbs.twimg.com/media/CT9OwFIWEAMuRje.jpg   \n",
       "23    666345417576210432    https://pbs.twimg.com/media/CT9Vn7PWoAA_ZCM.jpg   \n",
       "24    666353288456101888    https://pbs.twimg.com/media/CT9cx0tUEAAhNN_.jpg   \n",
       "25    666362758909284353    https://pbs.twimg.com/media/CT9lXGsUcAAyUFt.jpg   \n",
       "26    666373753744588802    https://pbs.twimg.com/media/CT9vZEYWUAAlZ05.jpg   \n",
       "27    666396247373291520    https://pbs.twimg.com/media/CT-D2ZHWIAA3gK1.jpg   \n",
       "28    666407126856765440    https://pbs.twimg.com/media/CT-NvwmW4AAugGZ.jpg   \n",
       "29    666411507551481857    https://pbs.twimg.com/media/CT-RugiWIAELEaq.jpg   \n",
       "...                  ...                                                ...   \n",
       "2045  886366144734445568    https://pbs.twimg.com/media/DE0BTnQUwAApKEH.jpg   \n",
       "2046  886680336477933568    https://pbs.twimg.com/media/DE4fEDzWAAAyHMM.jpg   \n",
       "2047  886736880519319552    https://pbs.twimg.com/media/DE5Se8FXcAAJFx4.jpg   \n",
       "2048  886983233522544640    https://pbs.twimg.com/media/DE8yicJW0AAAvBJ.jpg   \n",
       "2049  887101392804085760    https://pbs.twimg.com/media/DE-eAq6UwAA-jaE.jpg   \n",
       "2050  887343217045368832  https://pbs.twimg.com/ext_tw_video_thumb/88734...   \n",
       "2051  887473957103951883    https://pbs.twimg.com/media/DFDw2tyUQAAAFke.jpg   \n",
       "2052  887517139158093824  https://pbs.twimg.com/ext_tw_video_thumb/88751...   \n",
       "2053  887705289381826560    https://pbs.twimg.com/media/DFHDQBbXgAEqY7t.jpg   \n",
       "2054  888078434458587136    https://pbs.twimg.com/media/DFMWn56WsAAkA7B.jpg   \n",
       "2055  888202515573088257    https://pbs.twimg.com/media/DFDw2tyUQAAAFke.jpg   \n",
       "2056  888554962724278272    https://pbs.twimg.com/media/DFTH_O-UQAACu20.jpg   \n",
       "2057  888804989199671297    https://pbs.twimg.com/media/DFWra-3VYAA2piG.jpg   \n",
       "2058  888917238123831296    https://pbs.twimg.com/media/DFYRgsOUQAARGhO.jpg   \n",
       "2059  889278841981685760  https://pbs.twimg.com/ext_tw_video_thumb/88927...   \n",
       "2060  889531135344209921    https://pbs.twimg.com/media/DFg_2PVW0AEHN3p.jpg   \n",
       "2061  889638837579907072    https://pbs.twimg.com/media/DFihzFfXsAYGDPR.jpg   \n",
       "2062  889665388333682689    https://pbs.twimg.com/media/DFi579UWsAAatzw.jpg   \n",
       "2063  889880896479866881    https://pbs.twimg.com/media/DFl99B1WsAITKsg.jpg   \n",
       "2064  890006608113172480    https://pbs.twimg.com/media/DFnwSY4WAAAMliS.jpg   \n",
       "2065  890240255349198849    https://pbs.twimg.com/media/DFrEyVuW0AAO3t9.jpg   \n",
       "2066  890609185150312448    https://pbs.twimg.com/media/DFwUU__XcAEpyXI.jpg   \n",
       "2067  890729181411237888    https://pbs.twimg.com/media/DFyBahAVwAAhUTd.jpg   \n",
       "2068  890971913173991426    https://pbs.twimg.com/media/DF1eOmZXUAALUcq.jpg   \n",
       "2069  891087950875897856    https://pbs.twimg.com/media/DF3HwyEWsAABqE6.jpg   \n",
       "2070  891327558926688256    https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg   \n",
       "2071  891689557279858688    https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg   \n",
       "2072  891815181378084864    https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg   \n",
       "2073  892177421306343426    https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg   \n",
       "2074  892420643555336193    https://pbs.twimg.com/media/DGKD1-bXoAAIAUK.jpg   \n",
       "\n",
       "      img_num                           p1   p1_conf  p1_dog  \\\n",
       "0           1       Welsh_springer_spaniel  0.465074    True   \n",
       "1           1                      redbone  0.506826    True   \n",
       "2           1              German_shepherd  0.596461    True   \n",
       "3           1          Rhodesian_ridgeback  0.408143    True   \n",
       "4           1           miniature_pinscher  0.560311    True   \n",
       "5           1         Bernese_mountain_dog  0.651137    True   \n",
       "6           1                   box_turtle  0.933012   False   \n",
       "7           1                         chow  0.692517    True   \n",
       "8           1                shopping_cart  0.962465   False   \n",
       "9           1             miniature_poodle  0.201493    True   \n",
       "10          1             golden_retriever  0.775930    True   \n",
       "11          1                Gordon_setter  0.503672    True   \n",
       "12          1                 Walker_hound  0.260857    True   \n",
       "13          1                          pug  0.489814    True   \n",
       "14          1                   bloodhound  0.195217    True   \n",
       "15          1                        Lhasa  0.582330    True   \n",
       "16          1               English_setter  0.298617    True   \n",
       "17          1                          hen  0.965932   False   \n",
       "18          1             desktop_computer  0.086502   False   \n",
       "19          1            Italian_greyhound  0.176053    True   \n",
       "20          1                  Maltese_dog  0.857531    True   \n",
       "21          1             three-toed_sloth  0.914671   False   \n",
       "22          1                           ox  0.416669   False   \n",
       "23          1             golden_retriever  0.858744    True   \n",
       "24          1                     malamute  0.336874    True   \n",
       "25          1                   guinea_pig  0.996496   False   \n",
       "26          1  soft-coated_wheaten_terrier  0.326467    True   \n",
       "27          1                    Chihuahua  0.978108    True   \n",
       "28          1      black-and-tan_coonhound  0.529139    True   \n",
       "29          1                         coho  0.404640   False   \n",
       "...       ...                          ...       ...     ...   \n",
       "2045        1               French_bulldog  0.999201    True   \n",
       "2046        1                  convertible  0.738995   False   \n",
       "2047        1                       kuvasz  0.309706    True   \n",
       "2048        2                    Chihuahua  0.793469    True   \n",
       "2049        1                      Samoyed  0.733942    True   \n",
       "2050        1             Mexican_hairless  0.330741    True   \n",
       "2051        2                     Pembroke  0.809197    True   \n",
       "2052        1                    limousine  0.130432   False   \n",
       "2053        1                       basset  0.821664    True   \n",
       "2054        1               French_bulldog  0.995026    True   \n",
       "2055        2                     Pembroke  0.809197    True   \n",
       "2056        3               Siberian_husky  0.700377    True   \n",
       "2057        1             golden_retriever  0.469760    True   \n",
       "2058        1             golden_retriever  0.714719    True   \n",
       "2059        1                      whippet  0.626152    True   \n",
       "2060        1             golden_retriever  0.953442    True   \n",
       "2061        1               French_bulldog  0.991650    True   \n",
       "2062        1                     Pembroke  0.966327    True   \n",
       "2063        1               French_bulldog  0.377417    True   \n",
       "2064        1                      Samoyed  0.957979    True   \n",
       "2065        1                     Pembroke  0.511319    True   \n",
       "2066        1                Irish_terrier  0.487574    True   \n",
       "2067        2                   Pomeranian  0.566142    True   \n",
       "2068        1                  Appenzeller  0.341703    True   \n",
       "2069        1     Chesapeake_Bay_retriever  0.425595    True   \n",
       "2070        2                       basset  0.555712    True   \n",
       "2071        1                  paper_towel  0.170278   False   \n",
       "2072        1                    Chihuahua  0.716012    True   \n",
       "2073        1                    Chihuahua  0.323581    True   \n",
       "2074        1                       orange  0.097049   False   \n",
       "\n",
       "                            p2   p2_conf  p2_dog                           p3  \\\n",
       "0                       collie  0.156665    True            Shetland_sheepdog   \n",
       "1           miniature_pinscher  0.074192    True          Rhodesian_ridgeback   \n",
       "2                     malinois  0.138584    True                   bloodhound   \n",
       "3                      redbone  0.360687    True           miniature_pinscher   \n",
       "4                   Rottweiler  0.243682    True                     Doberman   \n",
       "5             English_springer  0.263788    True   Greater_Swiss_Mountain_dog   \n",
       "6                   mud_turtle  0.045885   False                     terrapin   \n",
       "7              Tibetan_mastiff  0.058279    True                     fur_coat   \n",
       "8              shopping_basket  0.014594   False             golden_retriever   \n",
       "9                     komondor  0.192305    True  soft-coated_wheaten_terrier   \n",
       "10             Tibetan_mastiff  0.093718    True           Labrador_retriever   \n",
       "11           Yorkshire_terrier  0.174201    True                     Pekinese   \n",
       "12            English_foxhound  0.175382    True                 Ibizan_hound   \n",
       "13                bull_mastiff  0.404722    True               French_bulldog   \n",
       "14             German_shepherd  0.078260    True                     malinois   \n",
       "15                    Shih-Tzu  0.166192    True               Dandie_Dinmont   \n",
       "16                Newfoundland  0.149842    True                       borzoi   \n",
       "17                        cock  0.033919   False                    partridge   \n",
       "18                        desk  0.085547   False                     bookcase   \n",
       "19                 toy_terrier  0.111884    True                      basenji   \n",
       "20                  toy_poodle  0.063064    True             miniature_poodle   \n",
       "21                       otter  0.015250   False               great_grey_owl   \n",
       "22                Newfoundland  0.278407    True                  groenendael   \n",
       "23    Chesapeake_Bay_retriever  0.054787    True           Labrador_retriever   \n",
       "24              Siberian_husky  0.147655    True                   Eskimo_dog   \n",
       "25                       skunk  0.002402   False                      hamster   \n",
       "26                Afghan_hound  0.259551    True                       briard   \n",
       "27                 toy_terrier  0.009397    True                     papillon   \n",
       "28                  bloodhound  0.244220    True        flat-coated_retriever   \n",
       "29                  barracouta  0.271485   False                          gar   \n",
       "...                        ...       ...     ...                          ...   \n",
       "2045                 Chihuahua  0.000361    True                  Boston_bull   \n",
       "2046                sports_car  0.139952   False                    car_wheel   \n",
       "2047            Great_Pyrenees  0.186136    True               Dandie_Dinmont   \n",
       "2048               toy_terrier  0.143528    True                   can_opener   \n",
       "2049                Eskimo_dog  0.035029    True    Staffordshire_bullterrier   \n",
       "2050                  sea_lion  0.275645   False                   Weimaraner   \n",
       "2051       Rhodesian_ridgeback  0.054950    True                       beagle   \n",
       "2052                 tow_truck  0.029175   False                shopping_cart   \n",
       "2053                   redbone  0.087582    True                   Weimaraner   \n",
       "2054                       pug  0.000932    True                 bull_mastiff   \n",
       "2055       Rhodesian_ridgeback  0.054950    True                       beagle   \n",
       "2056                Eskimo_dog  0.166511    True                     malamute   \n",
       "2057        Labrador_retriever  0.184172    True               English_setter   \n",
       "2058           Tibetan_mastiff  0.120184    True           Labrador_retriever   \n",
       "2059                    borzoi  0.194742    True                       Saluki   \n",
       "2060        Labrador_retriever  0.013834    True                      redbone   \n",
       "2061                     boxer  0.002129    True    Staffordshire_bullterrier   \n",
       "2062                  Cardigan  0.027356    True                      basenji   \n",
       "2063        Labrador_retriever  0.151317    True                       muzzle   \n",
       "2064                Pomeranian  0.013884    True                         chow   \n",
       "2065                  Cardigan  0.451038    True                    Chihuahua   \n",
       "2066              Irish_setter  0.193054    True     Chesapeake_Bay_retriever   \n",
       "2067                Eskimo_dog  0.178406    True                     Pembroke   \n",
       "2068             Border_collie  0.199287    True                    ice_lolly   \n",
       "2069             Irish_terrier  0.116317    True              Indian_elephant   \n",
       "2070          English_springer  0.225770    True  German_short-haired_pointer   \n",
       "2071        Labrador_retriever  0.168086    True                      spatula   \n",
       "2072                  malamute  0.078253    True                       kelpie   \n",
       "2073                  Pekinese  0.090647    True                     papillon   \n",
       "2074                     bagel  0.085851   False                       banana   \n",
       "\n",
       "       p3_conf  p3_dog  \n",
       "0     0.061428    True  \n",
       "1     0.072010    True  \n",
       "2     0.116197    True  \n",
       "3     0.222752    True  \n",
       "4     0.154629    True  \n",
       "5     0.016199    True  \n",
       "6     0.017885   False  \n",
       "7     0.054449   False  \n",
       "8     0.007959    True  \n",
       "9     0.082086    True  \n",
       "10    0.072427    True  \n",
       "11    0.109454    True  \n",
       "12    0.097471    True  \n",
       "13    0.048960    True  \n",
       "14    0.075628    True  \n",
       "15    0.089688    True  \n",
       "16    0.133649    True  \n",
       "17    0.000052   False  \n",
       "18    0.079480   False  \n",
       "19    0.111152    True  \n",
       "20    0.025581    True  \n",
       "21    0.013207   False  \n",
       "22    0.102643    True  \n",
       "23    0.014241    True  \n",
       "24    0.093412    True  \n",
       "25    0.000461   False  \n",
       "26    0.206803    True  \n",
       "27    0.004577    True  \n",
       "28    0.173810    True  \n",
       "29    0.189945   False  \n",
       "...        ...     ...  \n",
       "2045  0.000076    True  \n",
       "2046  0.044173   False  \n",
       "2047  0.086346    True  \n",
       "2048  0.032253   False  \n",
       "2049  0.029705    True  \n",
       "2050  0.134203    True  \n",
       "2051  0.038915    True  \n",
       "2052  0.026321   False  \n",
       "2053  0.026236    True  \n",
       "2054  0.000903    True  \n",
       "2055  0.038915    True  \n",
       "2056  0.111411    True  \n",
       "2057  0.073482    True  \n",
       "2058  0.105506    True  \n",
       "2059  0.027351    True  \n",
       "2060  0.007958    True  \n",
       "2061  0.001498    True  \n",
       "2062  0.004633    True  \n",
       "2063  0.082981   False  \n",
       "2064  0.008167    True  \n",
       "2065  0.029248    True  \n",
       "2066  0.118184    True  \n",
       "2067  0.076507    True  \n",
       "2068  0.193548   False  \n",
       "2069  0.076902   False  \n",
       "2070  0.175219    True  \n",
       "2071  0.040836   False  \n",
       "2072  0.031379    True  \n",
       "2073  0.068957    True  \n",
       "2074  0.076110   False  \n",
       "\n",
       "[2075 rows x 12 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#displaying the image tsv table\n",
    "image_tsv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Image_tsv** Columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* **tweet_id**:ID marker for each of the timeline author's original tweets\n",
    "* **jpg_url**:The url of the image in the tweet \n",
    "* **img_num**: ranges from 1-4,with each number specifying each frame an image belongs to,since a maximum of 4 images can be posted in a tweet.\n",
    "* **p1**:the algorithm's first prediction for the image in the tweet\n",
    "* **p1_conf**:how confident the algorithm is in its first prediction \n",
    "* **p1_dog**:whether or not the first prediction is a breed of dog\n",
    "* **p2**: the algorithm's second most likely prediction \n",
    "* **p2_conf**: how confident the algorithm is in its second prediction\n",
    "* **p2_dog**:whether or not the second prediction is a breed of dog\n",
    "* **p3**: the algorithm's third prediction for the image in the tweet\n",
    "* **p3_conf**: how confident the algorithm is in its third prediction\n",
    "* **p3_dog**:whether or not the third prediction is a breed of dog"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>id</th>\n",
       "      <th>created_at</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>source</th>\n",
       "      <th>is_quote_status</th>\n",
       "      <th>retweeted</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>892420643555336193</td>\n",
       "      <td>Tue Aug 01 16:23:56 +0000 2017</td>\n",
       "      <td>7015</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>892177421306343426</td>\n",
       "      <td>Tue Aug 01 00:17:27 +0000 2017</td>\n",
       "      <td>5302</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>Mon Jul 31 00:18:03 +0000 2017</td>\n",
       "      <td>3483</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>Sun Jul 30 15:58:51 +0000 2017</td>\n",
       "      <td>7229</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>Sat Jul 29 16:00:24 +0000 2017</td>\n",
       "      <td>7768</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>891087950875897856</td>\n",
       "      <td>Sat Jul 29 00:08:17 +0000 2017</td>\n",
       "      <td>2602</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>890971913173991426</td>\n",
       "      <td>Fri Jul 28 16:27:12 +0000 2017</td>\n",
       "      <td>1667</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>890729181411237888</td>\n",
       "      <td>Fri Jul 28 00:22:40 +0000 2017</td>\n",
       "      <td>15767</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>890609185150312448</td>\n",
       "      <td>Thu Jul 27 16:25:51 +0000 2017</td>\n",
       "      <td>3625</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>890240255349198849</td>\n",
       "      <td>Wed Jul 26 15:59:51 +0000 2017</td>\n",
       "      <td>6103</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>890006608113172480</td>\n",
       "      <td>Wed Jul 26 00:31:25 +0000 2017</td>\n",
       "      <td>6155</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>889880896479866881</td>\n",
       "      <td>Tue Jul 25 16:11:53 +0000 2017</td>\n",
       "      <td>4168</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>889665388333682689</td>\n",
       "      <td>Tue Jul 25 01:55:32 +0000 2017</td>\n",
       "      <td>8354</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>889638837579907072</td>\n",
       "      <td>Tue Jul 25 00:10:02 +0000 2017</td>\n",
       "      <td>3719</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>889531135344209921</td>\n",
       "      <td>Mon Jul 24 17:02:04 +0000 2017</td>\n",
       "      <td>1884</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>889278841981685760</td>\n",
       "      <td>Mon Jul 24 00:19:32 +0000 2017</td>\n",
       "      <td>4449</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>888917238123831296</td>\n",
       "      <td>Sun Jul 23 00:22:39 +0000 2017</td>\n",
       "      <td>3766</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>888804989199671297</td>\n",
       "      <td>Sat Jul 22 16:56:37 +0000 2017</td>\n",
       "      <td>3540</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>888554962724278272</td>\n",
       "      <td>Sat Jul 22 00:23:06 +0000 2017</td>\n",
       "      <td>2879</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>888078434458587136</td>\n",
       "      <td>Thu Jul 20 16:49:33 +0000 2017</td>\n",
       "      <td>2898</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>887705289381826560</td>\n",
       "      <td>Wed Jul 19 16:06:48 +0000 2017</td>\n",
       "      <td>4538</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>887517139158093824</td>\n",
       "      <td>Wed Jul 19 03:39:09 +0000 2017</td>\n",
       "      <td>9857</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>887473957103951883</td>\n",
       "      <td>Wed Jul 19 00:47:34 +0000 2017</td>\n",
       "      <td>15037</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>887343217045368832</td>\n",
       "      <td>Tue Jul 18 16:08:03 +0000 2017</td>\n",
       "      <td>8816</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>887101392804085760</td>\n",
       "      <td>Tue Jul 18 00:07:08 +0000 2017</td>\n",
       "      <td>4994</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>886983233522544640</td>\n",
       "      <td>Mon Jul 17 16:17:36 +0000 2017</td>\n",
       "      <td>6323</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>886736880519319552</td>\n",
       "      <td>Sun Jul 16 23:58:41 +0000 2017</td>\n",
       "      <td>2633</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>886680336477933568</td>\n",
       "      <td>Sun Jul 16 20:14:00 +0000 2017</td>\n",
       "      <td>3739</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>886366144734445568</td>\n",
       "      <td>Sat Jul 15 23:25:31 +0000 2017</td>\n",
       "      <td>2631</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>886267009285017600</td>\n",
       "      <td>Sat Jul 15 16:51:35 +0000 2017</td>\n",
       "      <td>4</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2297</th>\n",
       "      <td>666411507551481857</td>\n",
       "      <td>Tue Nov 17 00:24:19 +0000 2015</td>\n",
       "      <td>262</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2298</th>\n",
       "      <td>666407126856765440</td>\n",
       "      <td>Tue Nov 17 00:06:54 +0000 2015</td>\n",
       "      <td>30</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2299</th>\n",
       "      <td>666396247373291520</td>\n",
       "      <td>Mon Nov 16 23:23:41 +0000 2015</td>\n",
       "      <td>69</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2300</th>\n",
       "      <td>666373753744588802</td>\n",
       "      <td>Mon Nov 16 21:54:18 +0000 2015</td>\n",
       "      <td>73</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2301</th>\n",
       "      <td>666362758909284353</td>\n",
       "      <td>Mon Nov 16 21:10:36 +0000 2015</td>\n",
       "      <td>471</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2302</th>\n",
       "      <td>666353288456101888</td>\n",
       "      <td>Mon Nov 16 20:32:58 +0000 2015</td>\n",
       "      <td>58</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2303</th>\n",
       "      <td>666345417576210432</td>\n",
       "      <td>Mon Nov 16 20:01:42 +0000 2015</td>\n",
       "      <td>125</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2304</th>\n",
       "      <td>666337882303524864</td>\n",
       "      <td>Mon Nov 16 19:31:45 +0000 2015</td>\n",
       "      <td>79</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2305</th>\n",
       "      <td>666293911632134144</td>\n",
       "      <td>Mon Nov 16 16:37:02 +0000 2015</td>\n",
       "      <td>291</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2306</th>\n",
       "      <td>666287406224695296</td>\n",
       "      <td>Mon Nov 16 16:11:11 +0000 2015</td>\n",
       "      <td>57</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2307</th>\n",
       "      <td>666273097616637952</td>\n",
       "      <td>Mon Nov 16 15:14:19 +0000 2015</td>\n",
       "      <td>68</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2308</th>\n",
       "      <td>666268910803644416</td>\n",
       "      <td>Mon Nov 16 14:57:41 +0000 2015</td>\n",
       "      <td>38</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2309</th>\n",
       "      <td>666104133288665088</td>\n",
       "      <td>Mon Nov 16 04:02:55 +0000 2015</td>\n",
       "      <td>5493</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2310</th>\n",
       "      <td>666102155909144576</td>\n",
       "      <td>Mon Nov 16 03:55:04 +0000 2015</td>\n",
       "      <td>11</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2311</th>\n",
       "      <td>666099513787052032</td>\n",
       "      <td>Mon Nov 16 03:44:34 +0000 2015</td>\n",
       "      <td>53</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2312</th>\n",
       "      <td>666094000022159362</td>\n",
       "      <td>Mon Nov 16 03:22:39 +0000 2015</td>\n",
       "      <td>63</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2313</th>\n",
       "      <td>666082916733198337</td>\n",
       "      <td>Mon Nov 16 02:38:37 +0000 2015</td>\n",
       "      <td>37</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2314</th>\n",
       "      <td>666073100786774016</td>\n",
       "      <td>Mon Nov 16 01:59:36 +0000 2015</td>\n",
       "      <td>132</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2315</th>\n",
       "      <td>666071193221509120</td>\n",
       "      <td>Mon Nov 16 01:52:02 +0000 2015</td>\n",
       "      <td>51</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2316</th>\n",
       "      <td>666063827256086533</td>\n",
       "      <td>Mon Nov 16 01:22:45 +0000 2015</td>\n",
       "      <td>180</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2317</th>\n",
       "      <td>666058600524156928</td>\n",
       "      <td>Mon Nov 16 01:01:59 +0000 2015</td>\n",
       "      <td>47</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2318</th>\n",
       "      <td>666057090499244032</td>\n",
       "      <td>Mon Nov 16 00:55:59 +0000 2015</td>\n",
       "      <td>112</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2319</th>\n",
       "      <td>666055525042405380</td>\n",
       "      <td>Mon Nov 16 00:49:46 +0000 2015</td>\n",
       "      <td>196</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2320</th>\n",
       "      <td>666051853826850816</td>\n",
       "      <td>Mon Nov 16 00:35:11 +0000 2015</td>\n",
       "      <td>705</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2321</th>\n",
       "      <td>666050758794694657</td>\n",
       "      <td>Mon Nov 16 00:30:50 +0000 2015</td>\n",
       "      <td>50</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2322</th>\n",
       "      <td>666049248165822465</td>\n",
       "      <td>Mon Nov 16 00:24:50 +0000 2015</td>\n",
       "      <td>37</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2323</th>\n",
       "      <td>666044226329800704</td>\n",
       "      <td>Mon Nov 16 00:04:52 +0000 2015</td>\n",
       "      <td>115</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2324</th>\n",
       "      <td>666033412701032449</td>\n",
       "      <td>Sun Nov 15 23:21:54 +0000 2015</td>\n",
       "      <td>36</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2325</th>\n",
       "      <td>666029285002620928</td>\n",
       "      <td>Sun Nov 15 23:05:30 +0000 2015</td>\n",
       "      <td>39</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2326</th>\n",
       "      <td>666020888022790149</td>\n",
       "      <td>Sun Nov 15 22:32:08 +0000 2015</td>\n",
       "      <td>423</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2327 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      id                      created_at  retweet_count  \\\n",
       "0     892420643555336193  Tue Aug 01 16:23:56 +0000 2017           7015   \n",
       "1     892177421306343426  Tue Aug 01 00:17:27 +0000 2017           5302   \n",
       "2     891815181378084864  Mon Jul 31 00:18:03 +0000 2017           3483   \n",
       "3     891689557279858688  Sun Jul 30 15:58:51 +0000 2017           7229   \n",
       "4     891327558926688256  Sat Jul 29 16:00:24 +0000 2017           7768   \n",
       "5     891087950875897856  Sat Jul 29 00:08:17 +0000 2017           2602   \n",
       "6     890971913173991426  Fri Jul 28 16:27:12 +0000 2017           1667   \n",
       "7     890729181411237888  Fri Jul 28 00:22:40 +0000 2017          15767   \n",
       "8     890609185150312448  Thu Jul 27 16:25:51 +0000 2017           3625   \n",
       "9     890240255349198849  Wed Jul 26 15:59:51 +0000 2017           6103   \n",
       "10    890006608113172480  Wed Jul 26 00:31:25 +0000 2017           6155   \n",
       "11    889880896479866881  Tue Jul 25 16:11:53 +0000 2017           4168   \n",
       "12    889665388333682689  Tue Jul 25 01:55:32 +0000 2017           8354   \n",
       "13    889638837579907072  Tue Jul 25 00:10:02 +0000 2017           3719   \n",
       "14    889531135344209921  Mon Jul 24 17:02:04 +0000 2017           1884   \n",
       "15    889278841981685760  Mon Jul 24 00:19:32 +0000 2017           4449   \n",
       "16    888917238123831296  Sun Jul 23 00:22:39 +0000 2017           3766   \n",
       "17    888804989199671297  Sat Jul 22 16:56:37 +0000 2017           3540   \n",
       "18    888554962724278272  Sat Jul 22 00:23:06 +0000 2017           2879   \n",
       "19    888078434458587136  Thu Jul 20 16:49:33 +0000 2017           2898   \n",
       "20    887705289381826560  Wed Jul 19 16:06:48 +0000 2017           4538   \n",
       "21    887517139158093824  Wed Jul 19 03:39:09 +0000 2017           9857   \n",
       "22    887473957103951883  Wed Jul 19 00:47:34 +0000 2017          15037   \n",
       "23    887343217045368832  Tue Jul 18 16:08:03 +0000 2017           8816   \n",
       "24    887101392804085760  Tue Jul 18 00:07:08 +0000 2017           4994   \n",
       "25    886983233522544640  Mon Jul 17 16:17:36 +0000 2017           6323   \n",
       "26    886736880519319552  Sun Jul 16 23:58:41 +0000 2017           2633   \n",
       "27    886680336477933568  Sun Jul 16 20:14:00 +0000 2017           3739   \n",
       "28    886366144734445568  Sat Jul 15 23:25:31 +0000 2017           2631   \n",
       "29    886267009285017600  Sat Jul 15 16:51:35 +0000 2017              4   \n",
       "...                  ...                             ...            ...   \n",
       "2297  666411507551481857  Tue Nov 17 00:24:19 +0000 2015            262   \n",
       "2298  666407126856765440  Tue Nov 17 00:06:54 +0000 2015             30   \n",
       "2299  666396247373291520  Mon Nov 16 23:23:41 +0000 2015             69   \n",
       "2300  666373753744588802  Mon Nov 16 21:54:18 +0000 2015             73   \n",
       "2301  666362758909284353  Mon Nov 16 21:10:36 +0000 2015            471   \n",
       "2302  666353288456101888  Mon Nov 16 20:32:58 +0000 2015             58   \n",
       "2303  666345417576210432  Mon Nov 16 20:01:42 +0000 2015            125   \n",
       "2304  666337882303524864  Mon Nov 16 19:31:45 +0000 2015             79   \n",
       "2305  666293911632134144  Mon Nov 16 16:37:02 +0000 2015            291   \n",
       "2306  666287406224695296  Mon Nov 16 16:11:11 +0000 2015             57   \n",
       "2307  666273097616637952  Mon Nov 16 15:14:19 +0000 2015             68   \n",
       "2308  666268910803644416  Mon Nov 16 14:57:41 +0000 2015             38   \n",
       "2309  666104133288665088  Mon Nov 16 04:02:55 +0000 2015           5493   \n",
       "2310  666102155909144576  Mon Nov 16 03:55:04 +0000 2015             11   \n",
       "2311  666099513787052032  Mon Nov 16 03:44:34 +0000 2015             53   \n",
       "2312  666094000022159362  Mon Nov 16 03:22:39 +0000 2015             63   \n",
       "2313  666082916733198337  Mon Nov 16 02:38:37 +0000 2015             37   \n",
       "2314  666073100786774016  Mon Nov 16 01:59:36 +0000 2015            132   \n",
       "2315  666071193221509120  Mon Nov 16 01:52:02 +0000 2015             51   \n",
       "2316  666063827256086533  Mon Nov 16 01:22:45 +0000 2015            180   \n",
       "2317  666058600524156928  Mon Nov 16 01:01:59 +0000 2015             47   \n",
       "2318  666057090499244032  Mon Nov 16 00:55:59 +0000 2015            112   \n",
       "2319  666055525042405380  Mon Nov 16 00:49:46 +0000 2015            196   \n",
       "2320  666051853826850816  Mon Nov 16 00:35:11 +0000 2015            705   \n",
       "2321  666050758794694657  Mon Nov 16 00:30:50 +0000 2015             50   \n",
       "2322  666049248165822465  Mon Nov 16 00:24:50 +0000 2015             37   \n",
       "2323  666044226329800704  Mon Nov 16 00:04:52 +0000 2015            115   \n",
       "2324  666033412701032449  Sun Nov 15 23:21:54 +0000 2015             36   \n",
       "2325  666029285002620928  Sun Nov 15 23:05:30 +0000 2015             39   \n",
       "2326  666020888022790149  Sun Nov 15 22:32:08 +0000 2015            423   \n",
       "\n",
       "                                                 source  is_quote_status  \\\n",
       "0     <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "1     <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2     <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "3     <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "4     <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "5     <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "6     <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "7     <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "8     <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "9     <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "10    <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "11    <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "12    <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "13    <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "14    <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "15    <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "16    <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "17    <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "18    <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "19    <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "20    <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "21    <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "22    <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "23    <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "24    <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "25    <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "26    <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "27    <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "28    <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "29    <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "...                                                 ...              ...   \n",
       "2297  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2298  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2299  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2300  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2301  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2302  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2303  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2304  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2305  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2306  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2307  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2308  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2309  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2310  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2311  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2312  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2313  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2314  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2315  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2316  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2317  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2318  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2319  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2320  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2321  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2322  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2323  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2324  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2325  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "2326  <a href=\"http://twitter.com/download/iphone\" r...            False   \n",
       "\n",
       "      retweeted  \n",
       "0         False  \n",
       "1         False  \n",
       "2         False  \n",
       "3         False  \n",
       "4         False  \n",
       "5         False  \n",
       "6         False  \n",
       "7         False  \n",
       "8         False  \n",
       "9         False  \n",
       "10        False  \n",
       "11        False  \n",
       "12        False  \n",
       "13        False  \n",
       "14        False  \n",
       "15        False  \n",
       "16        False  \n",
       "17        False  \n",
       "18        False  \n",
       "19        False  \n",
       "20        False  \n",
       "21        False  \n",
       "22        False  \n",
       "23        False  \n",
       "24        False  \n",
       "25        False  \n",
       "26        False  \n",
       "27        False  \n",
       "28        False  \n",
       "29        False  \n",
       "...         ...  \n",
       "2297      False  \n",
       "2298      False  \n",
       "2299      False  \n",
       "2300      False  \n",
       "2301      False  \n",
       "2302      False  \n",
       "2303      False  \n",
       "2304      False  \n",
       "2305      False  \n",
       "2306      False  \n",
       "2307      False  \n",
       "2308      False  \n",
       "2309      False  \n",
       "2310      False  \n",
       "2311      False  \n",
       "2312      False  \n",
       "2313      False  \n",
       "2314      False  \n",
       "2315      False  \n",
       "2316      False  \n",
       "2317      False  \n",
       "2318      False  \n",
       "2319      False  \n",
       "2320      False  \n",
       "2321      False  \n",
       "2322      False  \n",
       "2323      False  \n",
       "2324      False  \n",
       "2325      False  \n",
       "2326      False  \n",
       "\n",
       "[2327 rows x 6 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#displaying the df_json table\n",
    "df_json"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**df_json** columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* **id**: ID marker for each of the timeline author's original tweets\n",
    "* **created_at**: UTC time when this Tweet was created\n",
    "* **retweet_count**: Number of times this Tweet has been retweeted\n",
    "* **favorite_count**: Number of times this Tweet has been liked\n",
    "* **source**: The platform or framework used to create and send the tweet (Android,Iphone,webclient etc)\n",
    "* **is_quote_status**: indicates whether this is a Quoted Tweet(Boolean)\n",
    "* **retweeted**:Indicates whether this Tweet has been Retweeted by the authenticating user(Boolean)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Credits** <br>\n",
    "The links below helped with creating the data dictionaries above <br>\n",
    "[Link1](https://developer.twitter.com/en/docs/twitter-api/v1/data-dictionary/object-model/tweet) <br>\n",
    "[Link2](https://developer.twitter.com/en/docs/twitter-api/v1/data-dictionary/object-model/user) <br>\n",
    "[Link3](https://developer.twitter.com/en/docs/twitter-api/v1/data-dictionary/object-model/entities) <br>\n",
    "[Link4](https://books.google.com.ng/books?id=gYQfCgAAQBAJ&pg=PA283&lpg=PA283&dq=retweeted_status_user_id&source=bl&ots=bz2ogFd7m9&sig=ACfU3U1I2MfV7kCMFkwHmuVDZhuntRxL7Q&hl=en&sa=X&ved=2ahUKEwjB6vWev774AhUISfEDHZ3ZAiIQ6AF6BAgOEAM#v=onepage&q=retweeted_status_user_id&f=true)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Programmatic Assessment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2356 entries, 0 to 2355\n",
      "Data columns (total 17 columns):\n",
      "tweet_id                      2356 non-null int64\n",
      "in_reply_to_status_id         78 non-null float64\n",
      "in_reply_to_user_id           78 non-null float64\n",
      "timestamp                     2356 non-null object\n",
      "source                        2356 non-null object\n",
      "text                          2356 non-null object\n",
      "retweeted_status_id           181 non-null float64\n",
      "retweeted_status_user_id      181 non-null float64\n",
      "retweeted_status_timestamp    181 non-null object\n",
      "expanded_urls                 2297 non-null object\n",
      "rating_numerator              2356 non-null int64\n",
      "rating_denominator            2356 non-null int64\n",
      "name                          2356 non-null object\n",
      "doggo                         2356 non-null object\n",
      "floofer                       2356 non-null object\n",
      "pupper                        2356 non-null object\n",
      "puppo                         2356 non-null object\n",
      "dtypes: float64(4), int64(3), object(10)\n",
      "memory usage: 313.0+ KB\n"
     ]
    }
   ],
   "source": [
    "twitter_archive.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>tweet_id</th>\n",
       "      <th>in_reply_to_status_id</th>\n",
       "      <th>in_reply_to_user_id</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>retweeted_status_id</th>\n",
       "      <th>retweeted_status_user_id</th>\n",
       "      <th>retweeted_status_timestamp</th>\n",
       "      <th>expanded_urls</th>\n",
       "      <th>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "      <th>name</th>\n",
       "      <th>doggo</th>\n",
       "      <th>floofer</th>\n",
       "      <th>pupper</th>\n",
       "      <th>puppo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>858107933456039936</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-04-28 23:57:28 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Wyatt. He had an interview earlier tod...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/858107933...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Wyatt</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>817415592588222464</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-01-06 17:00:38 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Meet Strudel. He's rather h*ckin pupset that y...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.gofundme.com/help-strudel-walk-aga...</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>Strudel</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1400</th>\n",
       "      <td>699446877801091073</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-02-16 04:15:05 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Archie. He's undercover in all these p...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/699446877...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Archie</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2339</th>\n",
       "      <td>666102155909144576</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 03:55:04 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Oh my. Here you are seeing an Adobe Setter giv...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666102155...</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2146</th>\n",
       "      <td>669923323644657664</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-26 16:59:01 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is a spotted Lipitor Rumpelstiltskin name...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/669923323...</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>a</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id  in_reply_to_status_id  in_reply_to_user_id  \\\n",
       "174   858107933456039936                    NaN                  NaN   \n",
       "464   817415592588222464                    NaN                  NaN   \n",
       "1400  699446877801091073                    NaN                  NaN   \n",
       "2339  666102155909144576                    NaN                  NaN   \n",
       "2146  669923323644657664                    NaN                  NaN   \n",
       "\n",
       "                      timestamp  \\\n",
       "174   2017-04-28 23:57:28 +0000   \n",
       "464   2017-01-06 17:00:38 +0000   \n",
       "1400  2016-02-16 04:15:05 +0000   \n",
       "2339  2015-11-16 03:55:04 +0000   \n",
       "2146  2015-11-26 16:59:01 +0000   \n",
       "\n",
       "                                                 source  \\\n",
       "174   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "464   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "1400  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2339  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2146  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "\n",
       "                                                   text  retweeted_status_id  \\\n",
       "174   This is Wyatt. He had an interview earlier tod...                  NaN   \n",
       "464   Meet Strudel. He's rather h*ckin pupset that y...                  NaN   \n",
       "1400  This is Archie. He's undercover in all these p...                  NaN   \n",
       "2339  Oh my. Here you are seeing an Adobe Setter giv...                  NaN   \n",
       "2146  This is a spotted Lipitor Rumpelstiltskin name...                  NaN   \n",
       "\n",
       "      retweeted_status_user_id retweeted_status_timestamp  \\\n",
       "174                        NaN                        NaN   \n",
       "464                        NaN                        NaN   \n",
       "1400                       NaN                        NaN   \n",
       "2339                       NaN                        NaN   \n",
       "2146                       NaN                        NaN   \n",
       "\n",
       "                                          expanded_urls  rating_numerator  \\\n",
       "174   https://twitter.com/dog_rates/status/858107933...                12   \n",
       "464   https://www.gofundme.com/help-strudel-walk-aga...                11   \n",
       "1400  https://twitter.com/dog_rates/status/699446877...                12   \n",
       "2339  https://twitter.com/dog_rates/status/666102155...                11   \n",
       "2146  https://twitter.com/dog_rates/status/669923323...                10   \n",
       "\n",
       "      rating_denominator     name doggo floofer pupper puppo  \n",
       "174                   10    Wyatt  None    None   None  None  \n",
       "464                   10  Strudel  None    None   None  None  \n",
       "1400                  10   Archie  None    None   None  None  \n",
       "2339                  10     None  None    None   None  None  \n",
       "2146                  10        a  None    None   None  None  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2356.000000</td>\n",
       "      <td>2356.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>13.126486</td>\n",
       "      <td>10.455433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>45.876648</td>\n",
       "      <td>6.745237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>11.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>12.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1776.000000</td>\n",
       "      <td>170.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       rating_numerator  rating_denominator\n",
       "count       2356.000000         2356.000000\n",
       "mean          13.126486           10.455433\n",
       "std           45.876648            6.745237\n",
       "min            0.000000            0.000000\n",
       "25%           10.000000           10.000000\n",
       "50%           11.000000           10.000000\n",
       "75%           12.000000           10.000000\n",
       "max         1776.000000          170.000000"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive[['rating_numerator','rating_denominator']].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# creating a resuable function to give the count of values in a list columns contained in a Dataframe\n",
    "def count_values(df='',list=['']):\n",
    "    df_variables=df[list]\n",
    "    for column in df_variables.columns.values.tolist():\n",
    "            print(column)\n",
    "            print(df_variables[column].value_counts())\n",
    "            print(\"\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "source\n",
      "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>     2221\n",
      "<a href=\"http://vine.co\" rel=\"nofollow\">Vine - Make a Scene</a>                          91\n",
      "<a href=\"http://twitter.com\" rel=\"nofollow\">Twitter Web Client</a>                       33\n",
      "<a href=\"https://about.twitter.com/products/tweetdeck\" rel=\"nofollow\">TweetDeck</a>      11\n",
      "Name: source, dtype: int64\n",
      "\n",
      "doggo\n",
      "None     2259\n",
      "doggo      97\n",
      "Name: doggo, dtype: int64\n",
      "\n",
      "floofer\n",
      "None       2346\n",
      "floofer      10\n",
      "Name: floofer, dtype: int64\n",
      "\n",
      "pupper\n",
      "None      2099\n",
      "pupper     257\n",
      "Name: pupper, dtype: int64\n",
      "\n",
      "puppo\n",
      "None     2326\n",
      "puppo      30\n",
      "Name: puppo, dtype: int64\n",
      "\n"
     ]
    }
   ],
   "source": [
    "count_values(twitter_archive,list=['source','doggo','floofer','pupper','puppo'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>tweet_id</th>\n",
       "      <th>in_reply_to_status_id</th>\n",
       "      <th>in_reply_to_user_id</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>retweeted_status_id</th>\n",
       "      <th>retweeted_status_user_id</th>\n",
       "      <th>retweeted_status_timestamp</th>\n",
       "      <th>expanded_urls</th>\n",
       "      <th>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "      <th>name</th>\n",
       "      <th>doggo</th>\n",
       "      <th>floofer</th>\n",
       "      <th>pupper</th>\n",
       "      <th>puppo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [tweet_id, in_reply_to_status_id, in_reply_to_user_id, timestamp, source, text, retweeted_status_id, retweeted_status_user_id, retweeted_status_timestamp, expanded_urls, rating_numerator, rating_denominator, name, doggo, floofer, pupper, puppo]\n",
       "Index: []"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive.head(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2075 entries, 0 to 2074\n",
      "Data columns (total 12 columns):\n",
      "tweet_id    2075 non-null int64\n",
      "jpg_url     2075 non-null object\n",
      "img_num     2075 non-null int64\n",
      "p1          2075 non-null object\n",
      "p1_conf     2075 non-null float64\n",
      "p1_dog      2075 non-null bool\n",
      "p2          2075 non-null object\n",
      "p2_conf     2075 non-null float64\n",
      "p2_dog      2075 non-null bool\n",
      "p3          2075 non-null object\n",
      "p3_conf     2075 non-null float64\n",
      "p3_dog      2075 non-null bool\n",
      "dtypes: bool(3), float64(3), int64(2), object(4)\n",
      "memory usage: 152.1+ KB\n"
     ]
    }
   ],
   "source": [
    "image_tsv.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 0\n"
     ]
    }
   ],
   "source": [
    "print(image_tsv['tweet_id'].duplicated().sum(),image_tsv.duplicated().sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No duplicates in the image_tsv dataset nor in the tweet_id columns "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "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>tweet_id</th>\n",
       "      <th>jpg_url</th>\n",
       "      <th>img_num</th>\n",
       "      <th>p1</th>\n",
       "      <th>p1_conf</th>\n",
       "      <th>p1_dog</th>\n",
       "      <th>p2</th>\n",
       "      <th>p2_conf</th>\n",
       "      <th>p2_dog</th>\n",
       "      <th>p3</th>\n",
       "      <th>p3_conf</th>\n",
       "      <th>p3_dog</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [tweet_id, jpg_url, img_num, p1, p1_conf, p1_dog, p2, p2_conf, p2_dog, p3, p3_conf, p3_dog]\n",
       "Index: []"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_tsv.head(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "p1_dog\n",
      "True     1532\n",
      "False     543\n",
      "Name: p1_dog, dtype: int64\n",
      "\n",
      "p2_dog\n",
      "True     1553\n",
      "False     522\n",
      "Name: p2_dog, dtype: int64\n",
      "\n",
      "p3_dog\n",
      "True     1499\n",
      "False     576\n",
      "Name: p3_dog, dtype: int64\n",
      "\n"
     ]
    }
   ],
   "source": [
    "count_values(image_tsv,list=['p1_dog','p2_dog','p3_dog'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "each algorithm predictin(p1-p3dog)implies Over 500 images arent dog related"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>id</th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>is_quote_status</th>\n",
       "      <th>retweeted</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>892420643555336193</td>\n",
       "      <td>33835</td>\n",
       "      <td>7015</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>892177421306343426</td>\n",
       "      <td>29351</td>\n",
       "      <td>5302</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>22070</td>\n",
       "      <td>3483</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>36962</td>\n",
       "      <td>7229</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>35338</td>\n",
       "      <td>7768</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   id  favorite_count  retweet_count  is_quote_status  \\\n",
       "0  892420643555336193           33835           7015            False   \n",
       "1  892177421306343426           29351           5302            False   \n",
       "2  891815181378084864           22070           3483            False   \n",
       "3  891689557279858688           36962           7229            False   \n",
       "4  891327558926688256           35338           7768            False   \n",
       "\n",
       "   retweeted  \n",
       "0      False  \n",
       "1      False  \n",
       "2      False  \n",
       "3      False  \n",
       "4      False  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_json.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2327 entries, 0 to 2326\n",
      "Data columns (total 7 columns):\n",
      "id                 2327 non-null int64\n",
      "created_at         2327 non-null object\n",
      "favorite_count     2327 non-null int64\n",
      "retweet_count      2327 non-null int64\n",
      "source             2327 non-null object\n",
      "is_quote_status    2327 non-null bool\n",
      "retweeted          2327 non-null bool\n",
      "dtypes: bool(2), int64(3), object(2)\n",
      "memory usage: 95.5+ KB\n"
     ]
    }
   ],
   "source": [
    "df_json.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "source\n",
      "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>     2193\n",
      "<a href=\"http://vine.co\" rel=\"nofollow\">Vine - Make a Scene</a>                          91\n",
      "<a href=\"http://twitter.com\" rel=\"nofollow\">Twitter Web Client</a>                       33\n",
      "<a href=\"https://about.twitter.com/products/tweetdeck\" rel=\"nofollow\">TweetDeck</a>      10\n",
      "Name: source, dtype: int64\n",
      "\n",
      "is_quote_status\n",
      "False    2296\n",
      "True       31\n",
      "Name: is_quote_status, dtype: int64\n",
      "\n",
      "retweeted\n",
      "False    2327\n",
      "Name: retweeted, dtype: int64\n",
      "\n"
     ]
    }
   ],
   "source": [
    "count_values(df_json,list=['source','is_quote_status','retweeted'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  Quality Issues\n",
    "### twitter_archive\n",
    "1. Timestamp is a date not an object(string)\n",
    "2. rating_denominator having values other than 10 \n",
    "3. rating_numerator having values lesser than 10 as this defy the WeRateDogs unique rating system\n",
    "4. Remove rows that are retweets ,then drop the following retweet related columns 'retweeted_status_id','retweeted_status_user_id', 'retweeted_status_timestamp','in_reply_to_status_id','in_reply_to_user_id', \n",
    "5. extract year ,month and day from the timestamp column\n",
    "6. drop timestamp column\n",
    "7. Bella has a 13.5 numerator rating (instead of 5)\n",
    "\n",
    "### img_tsv\n",
    "8. contains rows with no dog images which needs to be dropped  .\n",
    "\n",
    "### df_json\n",
    "9. rename id column as tweet_id to aid merging with twitter_archive,rename favorite_count as likes and retweet_counts as retweets\n",
    "10. make sure the 31 quotes have images\n",
    "11. the required value source column in twitter_archive should be extracted  \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 0,
        "height": 7,
        "hidden": false,
        "row": 40,
        "width": 12
       },
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "source": [
    "## Tidiness Issues \n",
    "1. the four dog stages spread across 4 columns which  violates the tidiness rule of one variable to make a column whilst them being values. \n",
    "2. df_json and image_tsv, should be part of twitter_archive dataframe\n",
    "3. tweet_id is spread across three different Datasets.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 4,
        "height": 4,
        "hidden": false,
        "row": 32,
        "width": 4
       },
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "source": [
    "## Cleaning Data\n",
    "In this section, clean **all** of the issues you documented while assessing. \n",
    "\n",
    "**Note:** Make a copy of the original data before cleaning. Cleaning includes merging individual pieces of data according to the rules of [tidy data](https://cran.r-project.org/web/packages/tidyr/vignettes/tidy-data.html). The result should be a high-quality and tidy master pandas DataFrame (or DataFrames, if appropriate)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Making copies of original pieces of data\n",
    "twitter_archive_clean=twitter_archive.copy()\n",
    "image_tsv_clean=image_tsv.copy()\n",
    "df_json_clean=df_json.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Issue #1: \n",
    "id column should be tweet_id,favorite_count as Likes and retweet_counts as retweets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Define: \n",
    "rename the aforementioned columns with the rename function"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_json_clean.rename(columns={'id':'tweet_id','favorite_count':'likes','retweet_count':'retweets'},inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>tweet_id</th>\n",
       "      <th>likes</th>\n",
       "      <th>retweets</th>\n",
       "      <th>is_quote_status</th>\n",
       "      <th>retweeted</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [tweet_id, likes, retweets, is_quote_status, retweeted]\n",
       "Index: []"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_json_clean.head(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Issue #2:\n",
    "missing retweet and likes count column in twitter_archive dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "hidden": true
       },
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "source": [
    "#### Define\n",
    "merge df_json with twitter_archive"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of rows before merging: 2356\n"
     ]
    }
   ],
   "source": [
    "print('Number of rows before merging:',twitter_archive_clean.shape[0])\n",
    "twitter_archive_clean=twitter_archive_clean.merge(df_json_clean,how='inner',on='tweet_id')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of rows after merging: 2327\n"
     ]
    }
   ],
   "source": [
    "print('Number of rows after merging:',twitter_archive_clean.shape[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Dataset decreased by 29 rows  as  a result of the merging which is due to the df_json not having a retweet as an observation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 2327 entries, 0 to 2326\n",
      "Data columns (total 21 columns):\n",
      "tweet_id                      2327 non-null int64\n",
      "in_reply_to_status_id         78 non-null float64\n",
      "in_reply_to_user_id           78 non-null float64\n",
      "timestamp                     2327 non-null object\n",
      "source                        2327 non-null object\n",
      "text                          2327 non-null object\n",
      "retweeted_status_id           160 non-null float64\n",
      "retweeted_status_user_id      160 non-null float64\n",
      "retweeted_status_timestamp    160 non-null object\n",
      "expanded_urls                 2269 non-null object\n",
      "rating_numerator              2327 non-null int64\n",
      "rating_denominator            2327 non-null int64\n",
      "name                          2327 non-null object\n",
      "doggo                         2327 non-null object\n",
      "floofer                       2327 non-null object\n",
      "pupper                        2327 non-null object\n",
      "puppo                         2327 non-null object\n",
      "likes                         2327 non-null int64\n",
      "retweets                      2327 non-null int64\n",
      "is_quote_status               2327 non-null bool\n",
      "retweeted                     2327 non-null bool\n",
      "dtypes: bool(2), float64(4), int64(5), object(10)\n",
      "memory usage: 368.1+ KB\n"
     ]
    }
   ],
   "source": [
    "twitter_archive_clean.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>likes</th>\n",
       "      <th>retweets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>33835</td>\n",
       "      <td>7015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>29351</td>\n",
       "      <td>5302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>22070</td>\n",
       "      <td>3483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>36962</td>\n",
       "      <td>7229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>35338</td>\n",
       "      <td>7768</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   likes  retweets\n",
       "0  33835      7015\n",
       "1  29351      5302\n",
       "2  22070      3483\n",
       "3  36962      7229\n",
       "4  35338      7768"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_clean[['likes','retweets']].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Issues #3:\n",
    " twitter_archive Dataset contains retweet"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define:\n",
    "Remove retweet rows and drop retweets related column"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Code:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape before : (2327, 21)\n"
     ]
    }
   ],
   "source": [
    "print('shape before :',twitter_archive_clean.shape)\n",
    "twitter_archive_clean= twitter_archive_clean[twitter_archive_clean.retweeted_status_id.isnull()]\n",
    "twitter_archive_clean = twitter_archive_clean[twitter_archive_clean.retweeted_status_user_id.isnull()]\n",
    "twitter_archive_clean = twitter_archive_clean[twitter_archive_clean.retweeted_status_timestamp.isnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "twitter_archive_clean.drop(columns=['retweeted_status_id','retweeted_status_user_id', 'retweeted_status_timestamp','in_reply_to_status_id','in_reply_to_user_id','retweeted','expanded_urls'],inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dimension of the Dataset after: (2167, 14)\n"
     ]
    }
   ],
   "source": [
    "print('Dimension of the Dataset after:',twitter_archive_clean.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "160 rows were retweet related and dropped "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Issue #4:\n",
    "timestamp is not an object(string)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define\n",
    "format as datetime"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "twitter_archive_clean['timestamp']=pd.to_datetime(twitter_archive_clean['timestamp'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 2167 entries, 0 to 2326\n",
      "Data columns (total 1 columns):\n",
      "timestamp    2167 non-null datetime64[ns]\n",
      "dtypes: datetime64[ns](1)\n",
      "memory usage: 33.9 KB\n"
     ]
    }
   ],
   "source": [
    "twitter_archive_clean[['timestamp']].info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Issue #5:\n",
    "Year,Month and Date is required for the analysis "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define \n",
    "extract year ,month and day from the timestamp column,then drop timestamp column"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "#extracting the year \n",
    "twitter_archive_clean['year']=twitter_archive_clean['timestamp'].dt.year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "twitter_archive_clean['month']=twitter_archive_clean['timestamp'].dt.month_name()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "#extracting weekday name\n",
    "twitter_archive_clean['day']=twitter_archive_clean['timestamp'].dt.weekday_name"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "year\n",
      "2016    1085\n",
      "2015     687\n",
      "2017     395\n",
      "Name: year, dtype: int64\n",
      "\n",
      "month\n",
      "December     446\n",
      "November     358\n",
      "January      265\n",
      "February     196\n",
      "March        191\n",
      "July         149\n",
      "June         143\n",
      "April        109\n",
      "May          105\n",
      "October       73\n",
      "September     68\n",
      "August        64\n",
      "Name: month, dtype: int64\n",
      "\n",
      "day\n",
      "Monday       356\n",
      "Tuesday      326\n",
      "Wednesday    320\n",
      "Friday       303\n",
      "Thursday     302\n",
      "Saturday     284\n",
      "Sunday       276\n",
      "Name: day, dtype: int64\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# calling the count_values function on the newly created columns \n",
    "count_values(twitter_archive_clean,list=['year','month','day'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of columns before dropping timestamp: 17\n",
      "Number of columns after dropping timestamp: 16\n"
     ]
    }
   ],
   "source": [
    "## drop timestamp column \n",
    "print('Number of columns before dropping timestamp:',twitter_archive_clean.shape[1])\n",
    "twitter_archive_clean.drop(columns=['timestamp'],inplace=True)\n",
    "print('Number of columns after dropping timestamp:',twitter_archive_clean.shape[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Issue #6:\n",
    "Check quote tweets for images"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define\n",
    "subset and address rows with is_quote_status==True"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of rows with \"is_quote_status==True\": (29, 17)\n"
     ]
    }
   ],
   "source": [
    "#creating a subset for is_quote_status == True\n",
    "quotes=twitter_archive_clean.query('is_quote_status==True')\n",
    "print('Number of rows with \"is_quote_status==True\":',quotes.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[14,\n",
       "  10,\n",
       "  'I have a new hero and his name is Howard. 14/10 https://t.co/gzLHboL7Sk'],\n",
       " [13,\n",
       "  10,\n",
       "  \"OMG HE DIDN'T MEAN TO HE WAS JUST TRYING A LITTLE BARKOUR HE'S SUPER SORRY 13/10 WOULD FORGIVE IMMEDIATE https://t.co/uF3pQ8Wubj\"],\n",
       " [13,\n",
       "  10,\n",
       "  'Martha is stunning how h*ckin dare you. 13/10 https://t.co/9uABQXgjwa'],\n",
       " [14,\n",
       "  10,\n",
       "  'I can say with the pupmost confidence that the doggos who assisted with this search are heroic as h*ck. 14/10 for all https://t.co/8yoc1CNTsu'],\n",
       " [13,\n",
       "  10,\n",
       "  \"You'll get your package when that precious man is done appreciating the pups. 13/10 for everyone https://t.co/PFp4MghzBW\"],\n",
       " [14, 10, 'Never doubt a doggo 14/10 https://t.co/AbBLh2FZCH'],\n",
       " [13,\n",
       "  10,\n",
       "  'He was providing for his family 13/10 how dare you https://t.co/Q8mVwWN3f4'],\n",
       " [13,\n",
       "  10,\n",
       "  'HE\\'S LIKE \"WAIT A MINUTE I\\'M AN ANIMAL THIS IS AMAZING HI HUMAN I LOVE YOU AS WELL\" 13/10 https://t.co/sb73bV5Y7S'],\n",
       " [13,\n",
       "  10,\n",
       "  'I HEARD HE TIED HIS OWN BOWTIE MARK AND HE JUST WANTS TO SAY HI AND MAYBE A NOGGIN PAT SHOW SOME RESPECT 13/10 https://t.co/5BEjzT2Tth'],\n",
       " [11,\n",
       "  10,\n",
       "  'THIS WAS NOT HIS FAULT HE HAD NO IDEA. 11/10 STILL A VERY GOOD DOG https://t.co/GJ8rozumsy'],\n",
       " [13,\n",
       "  10,\n",
       "  'SHE DID AN ICY ZOOM AND KNEW WHEN TO PUT ON THE BRAKES 13/10 CANCEL THE GAME THIS IS ALL WE NEED https://t.co/4ctgpGcqAd'],\n",
       " [13,\n",
       "  10,\n",
       "  'HE WAS DOING A SNOOZE NO SHAME IN A SNOOZE 13/10 https://t.co/Gu5wHx3CBd'],\n",
       " [12,\n",
       "  10,\n",
       "  \"We don't rate penguins, but if we did, this one would get 12/10 https://t.co/cEORXhwZ5K\"],\n",
       " [13,\n",
       "  10,\n",
       "  'SHE MISPLACED HER HOOMAN 13/10 MISTAKES HAPPEN https://t.co/ngAxYLVYHP'],\n",
       " [10,\n",
       "  10,\n",
       "  'DOGGO ON THE LOOSE I REPEAT DOGGO ON THE LOOSE 10/10 https://t.co/ffIH2WxwF0'],\n",
       " [13,\n",
       "  10,\n",
       "  'Prosperous good boy 13/10 socioeconomic af https://t.co/8YlD5lxPbQ'],\n",
       " [14,\n",
       "  10,\n",
       "  '\"I wish we were dogs\" 14/10 for @BadlandsNPS https://t.co/50qq2DItPW'],\n",
       " [12,\n",
       "  10,\n",
       "  'Looks like he went cross-eyed trying way too hard to use the force. 12/10 \\nhttps://t.co/bbuKxk0fM8'],\n",
       " [13,\n",
       "  10,\n",
       "  'Hooman catch successful. Massive hit by dog. Fumble ensued. Possession to dog. 13/10 https://t.co/QrFkqgHR1G'],\n",
       " [13,\n",
       "  10,\n",
       "  \"HE'S TRYING TO BE HIS OWN PERSON LET HIM GO 13/10\\nhttps://t.co/LEZ8jR5txd\"],\n",
       " [13, 10, '#ImWithThor 13/10\\nhttps://t.co/a18mzkhTf6'],\n",
       " [13,\n",
       "  10,\n",
       "  'HE WAS JUST A LIL SLEEPY FROM BEING SUCH A GOOD DOGGI ALL THE TIME MISTAKES HAPPEN 13/10\\nhttps://t.co/G2ms0A5jWM'],\n",
       " [13, 10, 'Doggo will persevere. 13/10\\nhttps://t.co/yOVzAomJ6k'],\n",
       " [10,\n",
       "  10,\n",
       "  \"No no no this is all wrong. The Walmart had to have run into the dog driving the car. 10/10 someone tell him it's ok\\nhttps://t.co/fRaTGcj68A\"],\n",
       " [12,\n",
       "  10,\n",
       "  \"This is actually a pupper and I'd pet it so well. 12/10\\nhttps://t.co/RNqS7C4Y4N\"],\n",
       " [13,\n",
       "  10,\n",
       "  \"Pup had to be removed cuz it wouldn't have been fair to the opposing team. 13/10 absolute legend ⚽️\\nhttps://t.co/BHICimO58W\"],\n",
       " [12,\n",
       "  10,\n",
       "  'There has clearly been a mistake. Pup did nothing wrong. 12/10 would help escape\\nhttps://t.co/Juid3nnLbC'],\n",
       " [12,\n",
       "  10,\n",
       "  'Reminder that we made our first set of stickers available! All are 12/10 would stick\\nUse code \"pupper\" at checkout🐶\\n\\nhttps://t.co/kJIMNyMNKV'],\n",
       " [12,\n",
       "  10,\n",
       "  \"He was doing his best. 12/10 I'll be his lawyer\\nhttps://t.co/WN4C6miCzR\"]]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "quotes[['rating_numerator','rating_denominator','text']].values.tolist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "from above , the quoted tweets have original ratings ,hence the is_quote_status will be dropped "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of columns before dropping is_quote_status: 16\n",
      "Number of columns after dropping is_quote_status: 15\n"
     ]
    }
   ],
   "source": [
    "print('Number of columns before dropping is_quote_status:',twitter_archive_clean.shape[1])\n",
    "twitter_archive_clean.drop(columns=['is_quote_status'],inplace=True)\n",
    "print('Number of columns after dropping is_quote_status:',twitter_archive_clean.shape[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Issue #7:\n",
    "non dog images in img_tsv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  Define:\n",
    "subset for non_dog images, use the count_values()function to list the possible dog_breeds that might still be present "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "576\n"
     ]
    },
    {
     "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>tweet_id</th>\n",
       "      <th>p1</th>\n",
       "      <th>p2</th>\n",
       "      <th>p3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>666051853826850816</td>\n",
       "      <td>box_turtle</td>\n",
       "      <td>mud_turtle</td>\n",
       "      <td>terrapin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>666055525042405380</td>\n",
       "      <td>chow</td>\n",
       "      <td>Tibetan_mastiff</td>\n",
       "      <td>fur_coat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>666104133288665088</td>\n",
       "      <td>hen</td>\n",
       "      <td>cock</td>\n",
       "      <td>partridge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>666268910803644416</td>\n",
       "      <td>desktop_computer</td>\n",
       "      <td>desk</td>\n",
       "      <td>bookcase</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>666293911632134144</td>\n",
       "      <td>three-toed_sloth</td>\n",
       "      <td>otter</td>\n",
       "      <td>great_grey_owl</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              tweet_id                p1               p2              p3\n",
       "6   666051853826850816        box_turtle       mud_turtle        terrapin\n",
       "7   666055525042405380              chow  Tibetan_mastiff        fur_coat\n",
       "17  666104133288665088               hen             cock       partridge\n",
       "18  666268910803644416  desktop_computer             desk        bookcase\n",
       "21  666293911632134144  three-toed_sloth            otter  great_grey_owl"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## using the p3_dog column to subset , since it has most False Count \n",
    "not_dog=image_tsv_clean.query('p3_dog==False')\n",
    "not_dog=not_dog[['tweet_id','p1','p2','p3']]\n",
    "print(not_dog.shape[0])\n",
    "not_dog.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "p1\n",
      "golden_retriever            23\n",
      "Chihuahua                   17\n",
      "web_site                    15\n",
      "Labrador_retriever          14\n",
      "Samoyed                     13\n",
      "pug                         10\n",
      "Pomeranian                   7\n",
      "teddy                        7\n",
      "toy_poodle                   7\n",
      "chow                         7\n",
      "Chesapeake_Bay_retriever     7\n",
      "Pembroke                     6\n",
      "home_theater                 6\n",
      "hamster                      6\n",
      "minivan                      5\n",
      "llama                        5\n",
      "doormat                      5\n",
      "porcupine                    5\n",
      "seat_belt                    5\n",
      "hippopotamus                 5\n",
      "kelpie                       5\n",
      "kuvasz                       5\n",
      "French_bulldog               5\n",
      "patio                        4\n",
      "bow_tie                      4\n",
      "cocker_spaniel               4\n",
      "Siamese_cat                  4\n",
      "jigsaw_puzzle                4\n",
      "tub                          4\n",
      "ox                           4\n",
      "                            ..\n",
      "beach_wagon                  1\n",
      "cuirass                      1\n",
      "starfish                     1\n",
      "tick                         1\n",
      "desktop_computer             1\n",
      "sorrel                       1\n",
      "lion                         1\n",
      "pole                         1\n",
      "white_wolf                   1\n",
      "picket_fence                 1\n",
      "Newfoundland                 1\n",
      "Mexican_hairless             1\n",
      "shield                       1\n",
      "traffic_light                1\n",
      "stove                        1\n",
      "mailbox                      1\n",
      "studio_couch                 1\n",
      "banana                       1\n",
      "pencil_box                   1\n",
      "terrapin                     1\n",
      "water_bottle                 1\n",
      "fiddler_crab                 1\n",
      "scorpion                     1\n",
      "quilt                        1\n",
      "wool                         1\n",
      "Weimaraner                   1\n",
      "microwave                    1\n",
      "pot                          1\n",
      "envelope                     1\n",
      "Brittany_spaniel             1\n",
      "Name: p1, Length: 283, dtype: int64\n",
      "\n",
      "p2\n",
      "Labrador_retriever           24\n",
      "golden_retriever             23\n",
      "Pomeranian                   12\n",
      "doormat                       9\n",
      "French_bulldog                8\n",
      "Cardigan                      7\n",
      "Norwegian_elkhound            6\n",
      "cocker_spaniel                6\n",
      "miniature_poodle              6\n",
      "Chesapeake_Bay_retriever      6\n",
      "Siamese_cat                   6\n",
      "toy_poodle                    5\n",
      "Chihuahua                     5\n",
      "pug                           5\n",
      "Italian_greyhound             5\n",
      "llama                         4\n",
      "skunk                         4\n",
      "dishwasher                    4\n",
      "bathtub                       4\n",
      "Arabian_camel                 4\n",
      "window_screen                 4\n",
      "Staffordshire_bullterrier     4\n",
      "guinea_pig                    4\n",
      "koala                         4\n",
      "tub                           4\n",
      "studio_couch                  4\n",
      "Pekinese                      4\n",
      "chow                          3\n",
      "toy_terrier                   3\n",
      "Angora                        3\n",
      "                             ..\n",
      "Saint_Bernard                 1\n",
      "mud_turtle                    1\n",
      "Madagascar_cat                1\n",
      "lifeboat                      1\n",
      "seashore                      1\n",
      "breastplate                   1\n",
      "loggerhead                    1\n",
      "malinois                      1\n",
      "Ibizan_hound                  1\n",
      "toyshop                       1\n",
      "spindle                       1\n",
      "gibbon                        1\n",
      "barrel                        1\n",
      "torch                         1\n",
      "lawn_mower                    1\n",
      "desk                          1\n",
      "mailbox                       1\n",
      "malamute                      1\n",
      "Brittany_spaniel              1\n",
      "cab                           1\n",
      "police_van                    1\n",
      "bagel                         1\n",
      "water_bottle                  1\n",
      "quilt                         1\n",
      "coral_fungus                  1\n",
      "shovel                        1\n",
      "purse                         1\n",
      "trench_coat                   1\n",
      "comic_book                    1\n",
      "Weimaraner                    1\n",
      "Name: p2, Length: 310, dtype: int64\n",
      "\n",
      "p3\n",
      "doormat                 16\n",
      "seat_belt               15\n",
      "dingo                   15\n",
      "teddy                   12\n",
      "Siamese_cat             12\n",
      "white_wolf              10\n",
      "bathtub                  7\n",
      "toilet_tissue            7\n",
      "muzzle                   6\n",
      "ice_bear                 6\n",
      "Persian_cat              5\n",
      "water_buffalo            5\n",
      "tennis_ball              5\n",
      "bath_towel               5\n",
      "Arctic_fox               5\n",
      "sandbar                  5\n",
      "weasel                   5\n",
      "hog                      5\n",
      "black-footed_ferret      5\n",
      "sombrero                 4\n",
      "fountain                 4\n",
      "quilt                    4\n",
      "three-toed_sloth         4\n",
      "ice_lolly                4\n",
      "swing                    4\n",
      "wallaby                  4\n",
      "paper_towel              4\n",
      "sea_lion                 4\n",
      "television               4\n",
      "fur_coat                 4\n",
      "                        ..\n",
      "canoe                    1\n",
      "rock_crab                1\n",
      "cuirass                  1\n",
      "quill                    1\n",
      "French_horn              1\n",
      "entertainment_center     1\n",
      "vacuum                   1\n",
      "chime                    1\n",
      "snorkel                  1\n",
      "seashore                 1\n",
      "cab                      1\n",
      "bonnet                   1\n",
      "barbell                  1\n",
      "grocery_store            1\n",
      "cowboy_boot              1\n",
      "cheetah                  1\n",
      "nail                     1\n",
      "shovel                   1\n",
      "maraca                   1\n",
      "bow                      1\n",
      "rapeseed                 1\n",
      "green_lizard             1\n",
      "cup                      1\n",
      "goose                    1\n",
      "theater_curtain          1\n",
      "pot                      1\n",
      "oxcart                   1\n",
      "pajama                   1\n",
      "boathouse                1\n",
      "stinkhorn                1\n",
      "Name: p3, Length: 292, dtype: int64\n",
      "\n"
     ]
    }
   ],
   "source": [
    "count_values(not_dog,list=['p1','p2','p3'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "p2=['golden_retriever','Labrador_retriever','Chihuahua','French_bulldog','miniature_pinscher','miniature_poodle','Norwegian_elkhound','Pomeranian','cocker_spaniel','Italian_greyhound','toy_poodle ','pug','Pekinese']\n",
    "\n",
    "p3=['golden_retriever','Labrador_retriever','Chihuahua','Norwegian_elkhound','Irish_wolfhound' ,'Eskimo_dog','weasel']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(576, 4)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(467, 4)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(not_dog.shape)\n",
    "not_dog = not_dog[(not_dog.p2.isin(p2) == False) & (not_dog.p3.isin(p3)==False)]\n",
    "not_dog.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "104 rows were removed "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "p1\n",
      "web_site                    13\n",
      "Chihuahua                   10\n",
      "Samoyed                      8\n",
      "teddy                        7\n",
      "pug                          7\n",
      "Chesapeake_Bay_retriever     6\n",
      "Labrador_retriever           6\n",
      "home_theater                 6\n",
      "kelpie                       5\n",
      "llama                        5\n",
      "porcupine                    5\n",
      "hippopotamus                 5\n",
      "minivan                      5\n",
      "Pembroke                     5\n",
      "doormat                      5\n",
      "chow                         5\n",
      "patio                        4\n",
      "ox                           4\n",
      "jigsaw_puzzle                4\n",
      "bow_tie                      4\n",
      "tub                          4\n",
      "French_bulldog               4\n",
      "hamster                      4\n",
      "sea_lion                     3\n",
      "balloon                      3\n",
      "Christmas_stocking           3\n",
      "German_shepherd              3\n",
      "Cardigan                     3\n",
      "seat_belt                    3\n",
      "mousetrap                    3\n",
      "                            ..\n",
      "harp                         1\n",
      "leopard                      1\n",
      "espresso                     1\n",
      "tick                         1\n",
      "pot                          1\n",
      "cocker_spaniel               1\n",
      "stove                        1\n",
      "sandbar                      1\n",
      "bluetick                     1\n",
      "rotisserie                   1\n",
      "lion                         1\n",
      "pole                         1\n",
      "white_wolf                   1\n",
      "picket_fence                 1\n",
      "Newfoundland                 1\n",
      "shield                       1\n",
      "traffic_light                1\n",
      "mailbox                      1\n",
      "Pekinese                     1\n",
      "studio_couch                 1\n",
      "banana                       1\n",
      "pencil_box                   1\n",
      "toilet_tissue                1\n",
      "terrapin                     1\n",
      "water_bottle                 1\n",
      "fiddler_crab                 1\n",
      "scorpion                     1\n",
      "quilt                        1\n",
      "wool                         1\n",
      "Brittany_spaniel             1\n",
      "Name: p1, Length: 267, dtype: int64\n",
      "\n",
      "p2\n",
      "doormat                      9\n",
      "Cardigan                     7\n",
      "Siamese_cat                  6\n",
      "Chesapeake_Bay_retriever     6\n",
      "toy_poodle                   5\n",
      "dishwasher                   4\n",
      "bathtub                      4\n",
      "llama                        4\n",
      "skunk                        4\n",
      "tub                          4\n",
      "Staffordshire_bullterrier    4\n",
      "studio_couch                 4\n",
      "window_screen                4\n",
      "Arabian_camel                4\n",
      "guinea_pig                   4\n",
      "koala                        4\n",
      "Irish_terrier                3\n",
      "beach_wagon                  3\n",
      "toy_terrier                  3\n",
      "American_black_bear          3\n",
      "lakeside                     3\n",
      "Mexican_hairless             3\n",
      "Siberian_husky               3\n",
      "hen                          3\n",
      "borzoi                       3\n",
      "Eskimo_dog                   3\n",
      "tennis_ball                  3\n",
      "Tibetan_mastiff              3\n",
      "sunglasses                   3\n",
      "kelpie                       3\n",
      "                            ..\n",
      "purse                        1\n",
      "menu                         1\n",
      "gibbon                       1\n",
      "accordion                    1\n",
      "ice_lolly                    1\n",
      "Saint_Bernard                1\n",
      "Madagascar_cat               1\n",
      "lifeboat                     1\n",
      "toyshop                      1\n",
      "seashore                     1\n",
      "breastplate                  1\n",
      "loggerhead                   1\n",
      "malinois                     1\n",
      "Ibizan_hound                 1\n",
      "spindle                      1\n",
      "barrel                       1\n",
      "shovel                       1\n",
      "torch                        1\n",
      "lawn_mower                   1\n",
      "desk                         1\n",
      "mailbox                      1\n",
      "malamute                     1\n",
      "Brittany_spaniel             1\n",
      "cab                          1\n",
      "police_van                   1\n",
      "bagel                        1\n",
      "water_bottle                 1\n",
      "quilt                        1\n",
      "coral_fungus                 1\n",
      "Weimaraner                   1\n",
      "Name: p2, Length: 298, dtype: int64\n",
      "\n",
      "p3\n",
      "dingo                  12\n",
      "teddy                   9\n",
      "white_wolf              8\n",
      "doormat                 8\n",
      "bathtub                 6\n",
      "seat_belt               6\n",
      "Siamese_cat             6\n",
      "water_buffalo           5\n",
      "black-footed_ferret     5\n",
      "toilet_tissue           5\n",
      "paper_towel             4\n",
      "bath_towel              4\n",
      "ice_lolly               4\n",
      "fountain                4\n",
      "fur_coat                4\n",
      "hog                     4\n",
      "three-toed_sloth        4\n",
      "sea_lion                4\n",
      "wallaby                 4\n",
      "box_turtle              3\n",
      "purse                   3\n",
      "ski_mask                3\n",
      "microwave               3\n",
      "macaque                 3\n",
      "hamster                 3\n",
      "guinea_pig              3\n",
      "wool                    3\n",
      "bubble                  3\n",
      "bagel                   3\n",
      "shower_curtain          3\n",
      "                       ..\n",
      "crossword_puzzle        1\n",
      "gar                     1\n",
      "orangutan               1\n",
      "chimpanzee              1\n",
      "cloak                   1\n",
      "seashore                1\n",
      "restaurant              1\n",
      "maraca                  1\n",
      "chest                   1\n",
      "bonnet                  1\n",
      "barbell                 1\n",
      "grocery_store           1\n",
      "cheetah                 1\n",
      "nail                    1\n",
      "vacuum                  1\n",
      "shovel                  1\n",
      "bow                     1\n",
      "wild_boar               1\n",
      "hatchet                 1\n",
      "green_lizard            1\n",
      "cup                     1\n",
      "goose                   1\n",
      "theater_curtain         1\n",
      "bucket                  1\n",
      "oxcart                  1\n",
      "pajama                  1\n",
      "stinkhorn               1\n",
      "boathouse               1\n",
      "meerkat                 1\n",
      "pot                     1\n",
      "Name: p3, Length: 277, dtype: int64\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#we repeat same process incase some breeds were missed earlier\n",
    "count_values(not_dog,list=['p1','p2','p3'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(467, 4)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(411, 4)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p1=['Chihuahua','Chesapeake_Bay_retriever','Labrador_retriever','kelpie','Pembroke','French_bulldog','Eskimo_dog','weasel','miniature_poodle']\n",
    "p2=['toy_poodle','Chesapeake_Bay_retriever','Staffordshire_bullterrier','Ibizan_hound','kelpie']\n",
    "print(not_dog.shape)\n",
    "not_dog = not_dog[(not_dog.p1.isin(p1) == False) & (not_dog.p2.isin(p2)==False)]\n",
    "not_dog.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "over 50 more rows were dropped "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "#taking the tweet_ids of the not_dog images \n",
    "row_id=not_dog['tweet_id']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape before: (2075, 12)\n"
     ]
    }
   ],
   "source": [
    "# dropping rows that have a tweet_id in row_id\n",
    "print('shape before:',image_tsv_clean.shape)\n",
    "image_tsv_clean=image_tsv_clean[image_tsv_clean.tweet_id.isin(row_id) == False ]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  Test:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape after: (1664, 12)\n"
     ]
    }
   ],
   "source": [
    "print('shape after:',image_tsv_clean.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Merge cleaned image_tsv with twitter_archive_clean**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "not_dog=image_tsv_clean[['tweet_id','p1','p2','p3']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data Dimension before Merging: (2167, 15)\n",
      "Data Dimension after Merging: (1594, 18)\n"
     ]
    }
   ],
   "source": [
    "print('Data Dimension before Merging:',twitter_archive_clean.shape)\n",
    "twitter_archive_clean=pd.merge(twitter_archive_clean,not_dog,how='inner',on='tweet_id')\n",
    "print('Data Dimension after Merging:',twitter_archive_clean.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "## Issue #8:\n",
    "rating denominator having values other than 10"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define :\n",
    "subset and address rows with rating_denominator values other than zero"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Code:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(17, 18)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "not_10=twitter_archive_clean.query('rating_denominator!=10')\n",
    "not_10.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Exactly 17 rows have a rating_denominator value other than 10 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[820690176645140481, 'None', 'The floofs have been released I repeat the floofs have been released. 84/70 https://t.co/NIYC820tmd', 70]\n",
      "[810984652412424192, 'Sam', 'Meet Sam. She smiles 24/7 &amp; secretly aspires to be a reindeer. \\nKeep Sam smiling by clicking and sharing this link:\\nhttps://t.co/98tB8y7y7t https://t.co/LouL5vdvxx', 7]\n",
      "[758467244762497024, 'None', 'Why does this never happen at my front door... 165/150 https://t.co/HmwrdfEfUE', 150]\n",
      "[740373189193256964, 'None', 'After so many requests, this is Bretagne. She was the last surviving 9/11 search dog, and our second ever 14/10. RIP https://t.co/XAVDNDaVgQ', 11]\n",
      "[722974582966214656, 'None', 'Happy 4/20 from the squad! 13/10 for all https://t.co/eV1diwds8a', 20]\n",
      "[716439118184652801, 'Bluebert', 'This is Bluebert. He just saw that both #FinalFur match ups are split 50/50. Amazed af. 11/10 https://t.co/Kky1DPG4iq', 50]\n",
      "[713900603437621249, 'None', \"Happy Saturday here's 9 puppers on a bench. 99/90 good work everybody https://t.co/mpvaVxKmc1\", 90]\n",
      "[710658690886586372, 'None', \"Here's a brigade of puppers. All look very prepared for whatever happens next. 80/80 https://t.co/0eb7R1Om12\", 80]\n",
      "[709198395643068416, 'None', 'From left to right:\\nCletus, Jerome, Alejandro, Burp, &amp; Titson\\nNone know where camera is. 45/50 would hug all at once https://t.co/sedre1ivTK', 50]\n",
      "[704054845121142784, 'a', \"Here is a whole flock of puppers.  60/50 I'll take the lot https://t.co/9dpcw6MdWa\", 50]\n",
      "[697463031882764288, 'None', \"Happy Wednesday here's a bucket of pups. 44/40 would pet all at once https://t.co/HppvrYuamZ\", 40]\n",
      "[684225744407494656, 'None', 'Two sneaky puppers were not initially seen, moving the rating to 143/130. Please forgive us. Thank you https://t.co/kRK51Y5ac3', 130]\n",
      "[684222868335505415, 'None', 'Someone help the girl is being mugged. Several are distracting her while two steal her shoes. Clever puppers 121/110 https://t.co/1zfnTJLt55', 110]\n",
      "[682962037429899265, 'Darrel', 'This is Darrel. He just robbed a 7/11 and is in a high speed police chase. Was just spotted by the helicopter 10/10 https://t.co/7EsP8LmSp5', 11]\n",
      "[677716515794329600, 'None', \"IT'S PUPPERGEDDON. Total of 144/120 ...I think https://t.co/ZanVtAtvIq\", 120]\n",
      "[675853064436391936, 'None', 'Here we have an entire platoon of puppers. Total score: 88/80 would pet all at once https://t.co/y93p6FLvVw', 80]\n",
      "[666287406224695296, 'an', 'This is an Albanian 3 1/2 legged  Episcopalian. Loves well-polished hardwood flooring. Penis on the collar. 9/10 https://t.co/d9NcXFKwLv', 2]\n"
     ]
    }
   ],
   "source": [
    "text=not_10[['tweet_id','name','text','rating_denominator']].values.tolist()\n",
    "for contents in text:\n",
    "    print(contents)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following ids=(740373189193256964,722974582966214656,682962037429899265) will be dropped , get reassigned a denominator value of ten , then will be cocatenated back to the dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape before: (1594, 18)\n",
      "shape after: (1591, 18)\n"
     ]
    }
   ],
   "source": [
    "ids=[740373189193256964,722974582966214656,682962037429899265]\n",
    "print('shape before:',twitter_archive_clean.shape)\n",
    "ten=not_10[not_10.tweet_id.isin(ids) == True]\n",
    "twitter_archive_clean=twitter_archive_clean[twitter_archive_clean.tweet_id.isin(ids) == False]\n",
    "print('shape after:',twitter_archive_clean.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "ten['rating_numerator']=10\n",
    "not_10=pd.concat([twitter_archive_clean,not_10],ignore_index=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape after: (1591, 18)\n"
     ]
    }
   ],
   "source": [
    "print('shape after:',twitter_archive_clean.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Issue #9:\n",
    "rating_numerator having values lesser than 10 as this defy the WeRateDogs unique rating system"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define:\n",
    "subset and address. and also using the row_id to drop non dog images  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "260"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create a subset of tweet_id with numerator values less than 10 \n",
    "less_10=twitter_archive_clean.query('rating_numerator<10')\n",
    "less_10.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "year\n",
      "2015    169\n",
      "2016     88\n",
      "2017      3\n",
      "Name: year, dtype: int64\n",
      "\n",
      "source\n",
      "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>    252\n",
      "<a href=\"http://twitter.com\" rel=\"nofollow\">Twitter Web Client</a>                      8\n",
      "Name: source, dtype: int64\n",
      "\n",
      "month\n",
      "November     91\n",
      "December     78\n",
      "January      25\n",
      "February     20\n",
      "March        14\n",
      "June         11\n",
      "April         7\n",
      "July          6\n",
      "May           4\n",
      "August        2\n",
      "September     2\n",
      "Name: month, dtype: int64\n",
      "\n",
      "rating_numerator\n",
      "9    126\n",
      "8     65\n",
      "7     27\n",
      "6     14\n",
      "5     13\n",
      "4      6\n",
      "3      5\n",
      "2      2\n",
      "1      1\n",
      "0      1\n",
      "Name: rating_numerator, dtype: int64\n",
      "\n"
     ]
    }
   ],
   "source": [
    "count_values(less_10,list=['year','source','month','rating_numerator'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[848212111729840128,\n",
       "  \"This is Jerry. He's doing a distinguished tongue slip. Slightly patronizing tbh. You think you're better than us, Jerry? 6/10 hold me back https://t.co/DkOBbwulw1\",\n",
       "  6,\n",
       "  2017],\n",
       " [726224900189511680,\n",
       "  \"I'm getting super heckin frustrated with you all sending in non canines like this ostrich. We only rate dogs... 9/10 https://t.co/Rgbni2Ns8z\",\n",
       "  9,\n",
       "  2016],\n",
       " [723179728551723008,\n",
       "  \"This is Jangle. She's addicted to broccoli. It's the only thing she cares about. Tragic af. 8/10 get help pup https://t.co/8dNWp1cSEa\",\n",
       "  8,\n",
       "  2016],\n",
       " [720059472081784833,\n",
       "  \"This is Charleson. He lost his plunger. Looked everywhere. Can't find it. So sad. 9/10 would comfort https://t.co/pRHX8yn9Yu\",\n",
       "  9,\n",
       "  2016],\n",
       " [718460005985447936,\n",
       "  \"Meet Bowie. He's listening for underground squirrels. Smart af. Left eye is considerably magical. 9/10 would so pet https://t.co/JyNmyjy3fe\",\n",
       "  9,\n",
       "  2016],\n",
       " [718246886998687744,\n",
       "  \"This is Alexanderson. He's got a weird ass birth mark. Dreadful at fetch. Won't eat kibble. 3/10 wtf @Target https://t.co/FmxOpf2Sgl\",\n",
       "  3,\n",
       "  2016],\n",
       " [717421804990701568,\n",
       "  \"This is Ebby. She's a Zimbabwean Feta. Embarrassed by ridiculously squishy face. 9/10 would squeeze softly https://t.co/LBJqxMGaHi\",\n",
       "  9,\n",
       "  2016]]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "april=less_10.query('month==\"April\"')\n",
    "april[['tweet_id','text','rating_numerator','year']].values.tolist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alexanderson (tweet_id-718246886998687744) is a dog statue and Jerry(848212111729840128) is a goat,hence they will be dropped and the rest of the rows get a numerator_rating >=10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape before: 260\n",
      "shape after: 258\n"
     ]
    }
   ],
   "source": [
    "values=[848212111729840128,718246886998687744]\n",
    "print('shape before:',less_10.shape[0])\n",
    "less_10 = less_10[less_10.tweet_id.isin(values) == False]\n",
    "print('shape after:',less_10.shape[0])"
   ]
  },
  {
   "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>tweet_id</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>expanded_urls</th>\n",
       "      <th>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "      <th>name</th>\n",
       "      <th>doggo</th>\n",
       "      <th>floofer</th>\n",
       "      <th>pupper</th>\n",
       "      <th>puppo</th>\n",
       "      <th>likes</th>\n",
       "      <th>retweets</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>883482846933004288</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Bella. She hopes her smile made you sm...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/883482846...</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>Bella</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>40238</td>\n",
       "      <td>8277</td>\n",
       "      <td>2017</td>\n",
       "      <td>July</td>\n",
       "      <td>Saturday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>835152434251116546</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>When you're so blinded by your systematic plag...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/835152434...</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>20995</td>\n",
       "      <td>2765</td>\n",
       "      <td>2017</td>\n",
       "      <td>February</td>\n",
       "      <td>Friday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>369</th>\n",
       "      <td>826598799820865537</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>I was going to do 007/10, but the joke wasn't ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>4867</td>\n",
       "      <td>230</td>\n",
       "      <td>2017</td>\n",
       "      <td>February</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>817502432452313088</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: Meet Herschel. He's slightly bi...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/692417313...</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>Herschel</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>3146</td>\n",
       "      <td>2017</td>\n",
       "      <td>January</td>\n",
       "      <td>Friday</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               tweet_id                                             source  \\\n",
       "44   883482846933004288  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "299  835152434251116546  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "369  826598799820865537  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "444  817502432452313088  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "\n",
       "                                                  text  \\\n",
       "44   This is Bella. She hopes her smile made you sm...   \n",
       "299  When you're so blinded by your systematic plag...   \n",
       "369  I was going to do 007/10, but the joke wasn't ...   \n",
       "444  RT @dog_rates: Meet Herschel. He's slightly bi...   \n",
       "\n",
       "                                         expanded_urls  rating_numerator  \\\n",
       "44   https://twitter.com/dog_rates/status/883482846...                 5   \n",
       "299  https://twitter.com/dog_rates/status/835152434...                 0   \n",
       "369                                                NaN                 7   \n",
       "444  https://twitter.com/dog_rates/status/692417313...                 7   \n",
       "\n",
       "     rating_denominator      name doggo floofer  pupper puppo  likes  \\\n",
       "44                   10     Bella  None    None    None  None  40238   \n",
       "299                  10      None  None    None    None  None  20995   \n",
       "369                  10      None  None    None    None  None   4867   \n",
       "444                  10  Herschel  None    None  pupper  None      0   \n",
       "\n",
       "     retweets  year     month        day  \n",
       "44       8277  2017      July   Saturday  \n",
       "299      2765  2017  February     Friday  \n",
       "369       230  2017  February  Wednesday  \n",
       "444      3146  2017   January     Friday  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "less_10[less_10['year']==2017]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[883482846933004288,\n",
       "  'This is Bella. She hopes her smile made you smile. If not, she is also offering you her favorite monkey. 13.5/10 https://t.co/qjrljjt948',\n",
       "  5,\n",
       "  2017],\n",
       " [835152434251116546,\n",
       "  \"When you're so blinded by your systematic plagiarism that you forget what day it is. 0/10 https://t.co/YbEJPkg4Ag\",\n",
       "  0,\n",
       "  2017]]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "less_2017=less_10.query('year==2017')\n",
    "less_2017[['tweet_id','text','rating_numerator','year']].values.tolist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "(tweet_id-835152434251116546)  will be dropped as its not an original rating(plagiarised issue on the weRateDogs platform)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape before: 258\n",
      "shape after: 257\n"
     ]
    }
   ],
   "source": [
    "values=[835152434251116546]\n",
    "print('shape before:',less_10.shape[0])\n",
    "less_10 = less_10[less_10.tweet_id.isin(values) == False]\n",
    "print('shape after:',less_10.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "year\n",
      "2015    170\n",
      "2016    103\n",
      "2017      2\n",
      "Name: year, dtype: int64\n",
      "\n",
      "source\n",
      "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>    261\n",
      "<a href=\"http://twitter.com\" rel=\"nofollow\">Twitter Web Client</a>                      7\n",
      "<a href=\"http://vine.co\" rel=\"nofollow\">Vine - Make a Scene</a>                         7\n",
      "Name: source, dtype: int64\n",
      "\n",
      "month\n",
      "November     89\n",
      "December     84\n",
      "January      29\n",
      "February     23\n",
      "March        14\n",
      "June         12\n",
      "July          7\n",
      "April         6\n",
      "September     4\n",
      "May           4\n",
      "August        3\n",
      "Name: month, dtype: int64\n",
      "\n",
      "rating_numerator\n",
      "9    131\n",
      "8     72\n",
      "7     26\n",
      "5     16\n",
      "6     12\n",
      "4      7\n",
      "1      5\n",
      "3      4\n",
      "2      2\n",
      "Name: rating_numerator, dtype: int64\n",
      "\n"
     ]
    }
   ],
   "source": [
    "count_values(less_10,list=['year','source','month','rating_numerator'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[666287406224695296,\n",
       "  'This is an Albanian 3 1/2 legged  Episcopalian. Loves well-polished hardwood flooring. Penis on the collar. 9/10 https://t.co/d9NcXFKwLv',\n",
       "  1,\n",
       "  2015]]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#tweet_id with numerator value equals to 1\n",
    "less_1=less_10.query('rating_numerator==1')\n",
    "less_1[['tweet_id','text','rating_numerator','year']].values.tolist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It's a valid rating "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[678424312106393600,\n",
       "  \"This is Crystal. She's a shitty fireman. No sense of urgency. People could be dying Crystal. 2/10 just irresponsible https://t.co/rtMtjSl9pz\",\n",
       "  2,\n",
       "  2015],\n",
       " [667878741721415682,\n",
       "  \"This is Tedrick. He lives on the edge. Needs someone to hit the gas tho. Other than that he's a baller. 10&amp;2/10 https://t.co/LvP1TTYSCN\",\n",
       "  2,\n",
       "  2015]]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#subset of numerator_rating==2\n",
    "less_2=less_10.query('rating_numerator==2')\n",
    "less_2[['tweet_id','text','rating_numerator','year']].values.tolist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Both Valid Rating "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[777885040357281792,\n",
       "  \"This is Wesley. He's clearly trespassing. Seems rather h*ckin violent too. Weaponized forehead. 3/10 wouldn't let in https://t.co/pL7wbMRW7M\",\n",
       "  3,\n",
       "  2016],\n",
       " [711306686208872448,\n",
       "  \"What hooligan sent in pictures w/out a dog in them? Churlish af. 3/10 just bc that's a neat fluffy bean bag chair https://t.co/wcwoGOkZvz\",\n",
       "  3,\n",
       "  2016],\n",
       " [673906403526995968,\n",
       "  \"Guys I'm getting real tired of this. We only rate dogs. Please don't send in other things like this Bulbasaur. 3/10 https://t.co/t5rQHl6W8M\",\n",
       "  3,\n",
       "  2015],\n",
       " [668989615043424256,\n",
       "  \"This is Bernie. He's taking his Halloween costume very seriously. Wants to be baked. 3/10 not a good idea Bernie smh https://t.co/1zBp1moFlX\",\n",
       "  3,\n",
       "  2015]]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#subset of numerator value equals to 3\n",
    "less_3=less_10.query('rating_numerator==3')\n",
    "less_3[['tweet_id','text','rating_numerator','year']].values.tolist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All rows in this category will be dropped except for Bernie(tweet_id-668989615043424256) in an halloween costume and the floofer(tweet_id-711306686208872448) that has a fur which matches with the chair she's on "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[777885040357281792 711306686208872448 673906403526995968\n",
      " 668989615043424256]\n"
     ]
    }
   ],
   "source": [
    "row_id=less_3.tweet_id.values\n",
    "print(row_id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape before: 257\n",
      "shape after: 255\n"
     ]
    }
   ],
   "source": [
    "values=[777885040357281792,673906403526995968]\n",
    "print('shape before:',less_10.shape[0])\n",
    "less_10 = less_10[less_10.tweet_id.isin(values) == False]\n",
    "print('shape after:',less_10.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[747816857231626240,\n",
       "  'Viewer discretion is advised. This is a terrible attack in progress. Not even in water (tragic af). 4/10 bad sherk https://t.co/L3U0j14N5R',\n",
       "  4,\n",
       "  2016],\n",
       " [707420581654872064,\n",
       "  \"This is Keurig. He's a rare dog. Laughs like an idiot tho. Head is basically a weapon. Poorly maintained goatee 4/10 https://t.co/xOrUyj7K30\",\n",
       "  4,\n",
       "  2016],\n",
       " [680940246314430465,\n",
       "  \"This is Alice. She's an idiot. 4/10 https://t.co/VQXdwJfkyS\",\n",
       "  4,\n",
       "  2015],\n",
       " [671122204919246848,\n",
       "  \"Two miniature golden retrievers here. Webbed paws. Don't walk very efficiently. Can't catch a tennis ball. 4/10s https://t.co/WzVLdSHJU7\",\n",
       "  4,\n",
       "  2015],\n",
       " [667176164155375616,\n",
       "  'These are strange dogs. All have toupees. Long neck for dogs. In a shed of sorts? Work in groups? 4/10 still petable https://t.co/PZxSarAfSN',\n",
       "  4,\n",
       "  2015],\n",
       " [666649482315059201,\n",
       "  \"Cool dog. Enjoys couch. Low monotone bark. Very nice kicks. Pisses milk (must be rare). Can't go down stairs. 4/10 https://t.co/vXMKrJC81s\",\n",
       "  4,\n",
       "  2015]]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "less_4=less_10.query('rating_numerator==4')\n",
    "less_4[['tweet_id','text','rating_numerator','year']].values.tolist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All rows will be dropped except for the dog(tweet_id-722974582966214656) tha has 13 rating_numerator value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[747816857231626240 707420581654872064 680940246314430465\n",
      " 671122204919246848 667176164155375616 666649482315059201]\n"
     ]
    }
   ],
   "source": [
    "row_id=less_4.tweet_id.values\n",
    "print(row_id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape before: 255\n",
      "shape after: 250\n"
     ]
    }
   ],
   "source": [
    "values=[747816857231626240, 707420581654872064,686035780142297088, 680940246314430465, 667176164155375616,666649482315059201]\n",
    "print('shape before:',less_10.shape[0])\n",
    "less_10 = less_10[less_10.tweet_id.isin(values) == False]\n",
    "print('shape after:',less_10.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[883482846933004288,\n",
       "  'This is Bella. She hopes her smile made you smile. If not, she is also offering you her favorite monkey. 13.5/10 https://t.co/qjrljjt948',\n",
       "  5,\n",
       "  2017],\n",
       " [781661882474196992,\n",
       "  'Who keeps sending in pictures without dogs in them? This needs to stop. 5/10 for the mediocre road https://t.co/ELqelxWMrC',\n",
       "  5,\n",
       "  2016],\n",
       " [691483041324204033,\n",
       "  \"When bae says they can't go out but you see them with someone else that same night. 5/10 &amp; 10/10 for heartbroken pup https://t.co/aenk0KpoWM\",\n",
       "  5,\n",
       "  2016],\n",
       " [677301033169788928,\n",
       "  \"This is Juckson. He's totally on his way to a nascar race. 5/10 for Juckson https://t.co/IoLRvF0Kak\",\n",
       "  5,\n",
       "  2015],\n",
       " [676588346097852417,\n",
       "  'This is Bubbles. He kinda resembles a fish. Always makes eye contact with u no matter what. Sneaky tongue slip. 5/10 https://t.co/Nrhvc5tLFT',\n",
       "  5,\n",
       "  2015],\n",
       " [674646392044941312,\n",
       "  'Two gorgeous dogs here. Little waddling dog is a rebel. Refuses to look at camera. Must be a preteen. 5/10 &amp; 8/10 https://t.co/YPfw7oahbD',\n",
       "  5,\n",
       "  2015],\n",
       " [672980819271634944,\n",
       "  'Extraordinary dog here. Looks large. Just a head. No body. Rather intrusive. 5/10 would still pet https://t.co/ufHWUFA9Pu',\n",
       "  5,\n",
       "  2015],\n",
       " [670782429121134593,\n",
       "  \"This dude slaps your girl's ass what do you do?\\n5/10 https://t.co/6dioUL6gcP\",\n",
       "  5,\n",
       "  2015],\n",
       " [669661792646373376,\n",
       "  \"This is a brave dog. Excellent free climber. Trying to get closer to God. Not very loyal though. Doesn't bark. 5/10 https://t.co/ODnILTr4QM\",\n",
       "  5,\n",
       "  2015],\n",
       " [668994913074286592,\n",
       "  'Two gorgeous pups here. Both have cute fake horns(adorable). Barn in the back looks on fire. 5/10 would pet rly well https://t.co/w5oYFXi0uh',\n",
       "  5,\n",
       "  2015],\n",
       " [668631377374486528,\n",
       "  'Meet Zeek. He is a grey Cumulonimbus. Zeek is hungry. Someone should feed Zeek asap. 5/10 absolutely terrifying https://t.co/fvVNScw8VH',\n",
       "  5,\n",
       "  2015],\n",
       " [666776908487630848,\n",
       "  'This is Josep. He is a Rye Manganese mix. Can drive w eyes closed. Very irresponsible. Menace on the roadways. 5/10 https://t.co/XNGeDwrtYH',\n",
       "  5,\n",
       "  2015],\n",
       " [666049248165822465,\n",
       "  'Here we have a 1949 1st generation vulpix. Enjoys sweat tea and Fox News. Cannot be phased. 5/10 https://t.co/4B7cOc1EDq',\n",
       "  5,\n",
       "  2015]]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#numerator_rating with value==5\n",
    "less_5=less_10.query('rating_numerator==5')\n",
    "less_5[['tweet_id','text','rating_numerator','year']].values.tolist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All rows in this category will be dropped except the following tweet_ids=[883482846933004288,781661882474196992,694925794720792577,670782429121134593,691483041324204033]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[883482846933004288 781661882474196992 691483041324204033\n",
      " 677301033169788928 676588346097852417 674646392044941312\n",
      " 672980819271634944 670782429121134593 669661792646373376\n",
      " 668994913074286592 668631377374486528 666776908487630848\n",
      " 666049248165822465]\n"
     ]
    }
   ],
   "source": [
    "row_id=less_5.tweet_id.values\n",
    "print(row_id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape before: 250\n",
      "shape after: 241\n"
     ]
    }
   ],
   "source": [
    "values=[ 684969860808454144, 681340665377193984, 677301033169788928 ,676588346097852417, 674646392044941312,672980819271634944 , 669661792646373376,668994913074286592, 668631377374486528, 666776908487630848,666049248165822465]\n",
    "print('shape before:',less_10.shape[0])\n",
    "less_10 = less_10[less_10.tweet_id.isin(values) == False]\n",
    "print('shape after:',less_10.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[748575535303884801,\n",
       "  \"This is one of the most reckless puppers I've ever seen. How she got a license in the first place is beyond me. 6/10 https://t.co/z5bAdtn9kd\",\n",
       "  6,\n",
       "  2016],\n",
       " [739485634323156992,\n",
       "  \"This is Kyle. He's a heavy drinker and an avid pot user. Just wants to be pupular. 6/10 I can't support this Kyle https://t.co/rRULp7XFnO\",\n",
       "  6,\n",
       "  2016],\n",
       " [700462010979500032,\n",
       "  \"This is Murphy. He's a mini golden retriever. Missing two legs (tragic). Mouth sharp. Looks rather perturbed. 6/10 https://t.co/ALO02IAKCn\",\n",
       "  6,\n",
       "  2016],\n",
       " [695051054296211456,\n",
       "  'Meet Brian (pronounced \"Kirk\"). He\\'s not amused by ur churlish tomfoolery. Once u put him down you\\'re done for. 6/10 https://t.co/vityMwPKKi',\n",
       "  6,\n",
       "  2016],\n",
       " [678740035362037760,\n",
       "  \"Meet Tango. He's a large dog. Doesn't care much for personal space. Owner isn't very accepting. Tongue slip. 6/10 https://t.co/p2T5kGebxe\",\n",
       "  6,\n",
       "  2015],\n",
       " [675891555769696257,\n",
       "  \"This is Donny. He's summoning the demon monster Babadook. 6/10 Donny please no that won't be a good time for anyone https://t.co/kiW6Knb7Gp\",\n",
       "  6,\n",
       "  2015],\n",
       " [673240798075449344,\n",
       "  \"Magical floating dog here. Very calm. Always hangs by the pond. Rather moist. Good listener. 6/10 personally I'd pet https://t.co/1euKoOvy49\",\n",
       "  6,\n",
       "  2015],\n",
       " [671115716440031232,\n",
       "  \"Meet Phred. He isn't steering, looking at the road, or wearing a seatbelt. Phred is a rolling tornado of danger 6/10 https://t.co/mZD7Bo7HfV\",\n",
       "  6,\n",
       "  2015],\n",
       " [670704688707301377,\n",
       "  \"Meet Danny. He's too good to look at the road when he's driving. Absolute menace. 6/10 completely irresponsible https://t.co/I1lMUy1FqH\",\n",
       "  6,\n",
       "  2015],\n",
       " [669375718304980992,\n",
       "  \"This is Billl. He's trying to be a ghost but he's not very good at it. 6/10 c'mon Billl https://t.co/ero0XfdGtY\",\n",
       "  6,\n",
       "  2015],\n",
       " [668113020489474048,\n",
       "  \"This is Alfie. He's that one hypocritical gym teacher who made you run laps. Great posture. Cool bench. 6/10 https://t.co/GCJzm3YsfX\",\n",
       "  6,\n",
       "  2015],\n",
       " [666082916733198337,\n",
       "  'Here we have a well-established sunblockerspaniel. Lost his other flip-flop. 6/10 not very waterproof https://t.co/3RU6x0vHB7',\n",
       "  6,\n",
       "  2015],\n",
       " [666044226329800704,\n",
       "  'This is a purebred Piers Morgan. Loves to Netflix and chill. Always looks like he forgot to unplug the iron. 6/10 https://t.co/DWnyCjf2mx',\n",
       "  6,\n",
       "  2015]]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#numerator_rating with value==6\n",
    "less_6=less_10.query('rating_numerator==6')\n",
    "less_6[['tweet_id','text','rating_numerator','year']].values.tolist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "all rows except the ones with following tweet_id- will be dropped in this category =**666044226329800704,666082916733198337,675891555769696257,748575535303884801,739485634323156992)**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[748575535303884801 739485634323156992 700462010979500032\n",
      " 695051054296211456 678740035362037760 675891555769696257\n",
      " 673240798075449344 671115716440031232 670704688707301377\n",
      " 669375718304980992 668113020489474048 666082916733198337\n",
      " 666044226329800704]\n"
     ]
    }
   ],
   "source": [
    "row_id=less_6['tweet_id'].values\n",
    "print(row_id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape before: 241\n",
      "shape after: 234\n"
     ]
    }
   ],
   "source": [
    "values=[739485634323156992, 700462010979500032,\n",
    " 695051054296211456, 678740035362037760,\n",
    " 673240798075449344, 670704688707301377,\n",
    " 668113020489474048 ]\n",
    "print('shape before:',less_10.shape[0])\n",
    "less_10 = less_10[less_10.tweet_id.isin(values) == False]\n",
    "print('shape after:',less_10.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[759099523532779520,\n",
       "  'Meet Toby. He has a drinking problem. Inflatable marijuana plant in the back is also not a good look. 7/10 cmon Toby https://t.co/Cim4DSj6Oi',\n",
       "  7,\n",
       "  2016],\n",
       " [706166467411222528,\n",
       "  \"This is Dexter. He's a shy pup. Doesn't bark much. Dreadful fetcher. Has rare sun allergy. 7/10 still petable https://t.co/sA7P3JSqiv\",\n",
       "  7,\n",
       "  2016],\n",
       " [698703483621523456,\n",
       "  'This is Rusty. He has no respect for POULTRY products. Unbelievable af. 7/10 would still pet https://t.co/hEH19t1eFp',\n",
       "  7,\n",
       "  2016],\n",
       " [696405997980676096,\n",
       "  \"This is Berb. He just found out that they have made 31 Kidz Bop CD's. Downright terrifying. 7/10 hang in there Berb https://t.co/CIFLjiTFwZ\",\n",
       "  7,\n",
       "  2016],\n",
       " [687494652870668288,\n",
       "  'This is Marq. He stole this car. 7/10 wtf Marq? https://t.co/MHScqo5l8c',\n",
       "  7,\n",
       "  2016],\n",
       " [687312378585812992,\n",
       "  '\"You got any games on your phone\" 7/10 for invasive brown Dalmatian pupper https://t.co/yzGR9xjE9Q',\n",
       "  7,\n",
       "  2016],\n",
       " [679854723806179328,\n",
       "  \"This is Bruce. He's a rare pup. Covered in Frosted Flakes. Nifty gold teeth. Overall good dog. 7/10 would pet firmly https://t.co/RtxxACzZ8A\",\n",
       "  7,\n",
       "  2015],\n",
       " [679511351870550016,\n",
       "  \"Say hello to William. He makes fun of others because he's terrified of his own deep-seated insecurities. 7/10 https://t.co/bwuV6FlRxr\",\n",
       "  7,\n",
       "  2015],\n",
       " [678798276842360832,\n",
       "  'This is Linda. She fucking hates trees. 7/10 https://t.co/blaY85FIxR',\n",
       "  7,\n",
       "  2015],\n",
       " [675146535592706048,\n",
       "  \"This is Coops. He's yelling at the carpet. Not very productive Coops. 7/10 https://t.co/Uz52oYnHzF\",\n",
       "  7,\n",
       "  2015],\n",
       " [673345638550134785,\n",
       "  \"This is Gerald. He's a fluffy lil yellow pup. Always looks like his favorite team just lost on a hail mary. 7/10 https://t.co/GpSkpN8kXS\",\n",
       "  7,\n",
       "  2015],\n",
       " [672538107540070400,\n",
       "  \"Meet Darby. He's a Fiscal Tutankhamen Waxbeard. Really likes steak. 7/10 https://t.co/rSndxTL0Ap\",\n",
       "  7,\n",
       "  2015],\n",
       " [672239279297454080,\n",
       "  \"This is Ridley. He doesn't know how to couch. 7/10 https://t.co/UHJE0UgMf7\",\n",
       "  7,\n",
       "  2015],\n",
       " [672068090318987265,\n",
       "  \"Say hello to Gizmo. He's upset because he's not sure if he's really big or the shopping cart is really small. 7/10 https://t.co/XkMtCGhr4a\",\n",
       "  7,\n",
       "  2015],\n",
       " [670833812859932673,\n",
       "  'This is Jett. He is unimpressed by flower. 7/10 https://t.co/459qWNnV3F',\n",
       "  7,\n",
       "  2015],\n",
       " [670792680469889025,\n",
       "  \"This is Antony. He's a Sheraton Tetrahedron. Skips awkwardly. Doesn't look when he crosses the road (reckless). 7/10 https://t.co/gTy4WMXu8l\",\n",
       "  7,\n",
       "  2015],\n",
       " [670780561024270336,\n",
       "  \"This is Traviss. He has no ears. Two rare dogs in background. I bet they all get along nicely. 7/10s I'd pet all https://t.co/Viu56hVhhP\",\n",
       "  7,\n",
       "  2015],\n",
       " [668815180734689280,\n",
       "  'This is a wild Toblerone from Papua New Guinea. Mouth always open. Addicted to hay. Acts blind. 7/10 handsome dog https://t.co/IGmVbz07tZ',\n",
       "  7,\n",
       "  2015],\n",
       " [668171859951755264,\n",
       "  'This is a Trans Siberian Kellogg named Alfonso. Huge ass eyeballs. Actually Dobby from Harry Potter. 7/10 https://t.co/XpseHBlAAb',\n",
       "  7,\n",
       "  2015],\n",
       " [667491009379606528,\n",
       "  'Two dogs in this one. Both are rare Jujitsu Pythagoreans. One slightly whiter than other. Long legs. 7/10 and 8/10 https://t.co/ITxxcc4v9y',\n",
       "  7,\n",
       "  2015],\n",
       " [667455448082227200,\n",
       "  \"This is Reese and Twips. Reese protects Twips. Both think they're too good for seat belts. Simply reckless. 7/10s https://t.co/uLzRi1drVK\",\n",
       "  7,\n",
       "  2015],\n",
       " [667405339315146752,\n",
       "  'This is Biden. Biden just tripped... 7/10 https://t.co/3Fm9PwLju1',\n",
       "  7,\n",
       "  2015],\n",
       " [667090893657276420,\n",
       "  'This is Clybe. He is an Anemone Valdez. One ear works. Can look in 2 different directions at once. Tongue slip. 7/10 https://t.co/Ks0jZtdIrr',\n",
       "  7,\n",
       "  2015],\n",
       " [666437273139982337,\n",
       "  'Here we see a lone northeastern Cumberbatch. Half ladybug. Only builds with bricks. Very confident with body. 7/10 https://t.co/7LtjBS0GPK',\n",
       "  7,\n",
       "  2015],\n",
       " [666428276349472768,\n",
       "  'Here we have an Austrian Pulitzer. Collectors edition. Levitates (?). 7/10 would garden with https://t.co/NMQq6HIglK',\n",
       "  7,\n",
       "  2015],\n",
       " [666407126856765440,\n",
       "  'This is a southern Vesuvius bumblegruff. Can drive a truck (wow). Made friends with 5 other nifty dogs (neat). 7/10 https://t.co/LopTBkKa8h',\n",
       "  7,\n",
       "  2015],\n",
       " [666029285002620928,\n",
       "  'This is a western brown Mitsubishi terrier. Upset about leaf. Actually 2 dogs here. 7/10 would walk the shit out of https://t.co/r7mOb2m0UI',\n",
       "  7,\n",
       "  2015]]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#numerator_rating with value==7\n",
    "less_7=less_10.query('rating_numerator==7')\n",
    "less_7[['tweet_id','text','rating_numerator','year']].values.tolist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following tweet_id are not dog related hence will be dropped **(670792680469889025,679854723806179328,706166467411222528)**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape before: 234\n",
      "shape after: 231\n"
     ]
    }
   ],
   "source": [
    "values=[670792680469889025,679854723806179328,706166467411222528]\n",
    "print('shape before:',less_10.shape[0])\n",
    "less_10 = less_10[less_10.tweet_id.isin(values) == False]\n",
    "print('shape after:',less_10.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[763183847194451968,\n",
       "  \"This is Clark. He collects teddy bears. It's absolutely h*ckin horrifying. 8/10 please stop this Clark https://t.co/EDMcwt86fU\",\n",
       "  8,\n",
       "  2016],\n",
       " [752334515931054080,\n",
       "  \"Here's a doggo trying to catch some fish. 8/10 futile af (vid by @KellyBauerx) https://t.co/jwd0j6oWLE\",\n",
       "  8,\n",
       "  2016],\n",
       " [749036806121881602,\n",
       "  \"This is Dietrich. He hops at random. Other doggos don't understand him. It upsets him greatly. 8/10 would comfort https://t.co/U8cSRz8wzC\",\n",
       "  8,\n",
       "  2016],\n",
       " [747885874273214464,\n",
       "  'This is a mighty rare blue-tailed hammer sherk. Human almost lost a limb trying to take these. Be careful guys. 8/10 https://t.co/TGenMeXreW',\n",
       "  8,\n",
       "  2016],\n",
       " [742150209887731712,\n",
       "  'This is Edmund. He sends stellar selfies. Cute af. 8/10 would totally snapchat with this pupper https://t.co/PprXoqZuKY',\n",
       "  8,\n",
       "  2016],\n",
       " [735256018284875776,\n",
       "  'This is Kellogg. He accidentally opened the front facing camera. 8/10 get it together doggo https://t.co/MRYv7nDPyS',\n",
       "  8,\n",
       "  2016],\n",
       " [723179728551723008,\n",
       "  \"This is Jangle. She's addicted to broccoli. It's the only thing she cares about. Tragic af. 8/10 get help pup https://t.co/8dNWp1cSEa\",\n",
       "  8,\n",
       "  2016],\n",
       " [714251586676113411,\n",
       "  'This is Thumas. He hates potted plants. 8/10 wtf Thumas https://t.co/rDVueNIcEi',\n",
       "  8,\n",
       "  2016],\n",
       " [710140971284037632,\n",
       "  \"This is Tater. His underbite is fierce af. Doesn't give a damn about your engagement photo. 8/10 https://t.co/nLuPY3pY12\",\n",
       "  8,\n",
       "  2016],\n",
       " [709409458133323776,\n",
       "  'This is Billy. He sensed a squirrel. 8/10 damn it Billy https://t.co/Yu0K98VZ9A',\n",
       "  8,\n",
       "  2016],\n",
       " [699079609774645248,\n",
       "  \"Meet Reagan. He's a Persnicketus Derpson. Great with kids. Permanently caught off guard. 8/10 https://t.co/A2j2StfNgL\",\n",
       "  8,\n",
       "  2016],\n",
       " [697575480820686848,\n",
       "  \"This is Ole. He's not sure how to gravity. 8/10 https://t.co/PsqqotpBBQ\",\n",
       "  8,\n",
       "  2016],\n",
       " [697259378236399616,\n",
       "  'Please stop sending in saber-toothed tigers. This is getting ridiculous. We only rate dogs.\\n...8/10 https://t.co/iAeQNueou8',\n",
       "  8,\n",
       "  2016],\n",
       " [695629776980148225,\n",
       "  \"Meet Calvin. He's proof that degrees mean absolutely nothing. 8/10 straighten up pup https://t.co/NIvxgSQ9BS\",\n",
       "  8,\n",
       "  2016],\n",
       " [690728923253055490,\n",
       "  'This is Vinscent. He was just questioned about his recent credit card spending. 8/10 https://t.co/qOD4G19A2u',\n",
       "  8,\n",
       "  2016],\n",
       " [688789766343622656,\n",
       "  \"Meet Pubert. He's a Kerplunk Rumplestilt. Cannot comprehend flower. Flawless tongue. 8/10 would pat head approvingly https://t.co/2TWxg0rgyG\",\n",
       "  8,\n",
       "  2016],\n",
       " [685943807276412928,\n",
       "  \"This is the newly formed pupper a capella group. They're just starting out but I see tons of potential. 8/10 for all https://t.co/wbAcvFoNtn\",\n",
       "  8,\n",
       "  2016],\n",
       " [683462770029932544,\n",
       "  '\"Hello forest pupper I am house pupper welcome to my abode\" (8/10 for both) https://t.co/qFD8217fUT',\n",
       "  8,\n",
       "  2016],\n",
       " [682429480204398592,\n",
       "  'I know we joke around on here, but this is getting really frustrating. We rate dogs. Not T-Rex. Thank you... 8/10 https://t.co/5aFw7SWyxU',\n",
       "  8,\n",
       "  2015],\n",
       " [681579835668455424,\n",
       "  \"This is Apollo. He thought you weren't coming back so he had a mental breakdown. 8/10 we've all been there https://t.co/ojUBrDCHLT\",\n",
       "  8,\n",
       "  2015],\n",
       " [679722016581222400,\n",
       "  \"This is Mike. He is a Jordanian Frito Pilates. Frowning because he can't see directly in front of him. 8/10 https://t.co/NL5QJwdEpF\",\n",
       "  8,\n",
       "  2015],\n",
       " [679148763231985668,\n",
       "  \"I know everyone's excited for Christmas but that doesn't mean you can send in reindeer. We only rate dogs... 8/10 https://t.co/eWjWgbOCYL\",\n",
       "  8,\n",
       "  2015],\n",
       " [676949632774234114,\n",
       "  \"This is Tyrus. He's a Speckled Centennial Ticonderoga. Terrified of floating red ball. Nifty bandana. 8/10 v petable https://t.co/HqM3YhCaaa\",\n",
       "  8,\n",
       "  2015],\n",
       " [676936541936185344,\n",
       "  'Here we see a rare pouched pupper. Ample storage space. Looks alert. Jumps at random. Kicked open that door. 8/10 https://t.co/mqvaxleHRz',\n",
       "  8,\n",
       "  2015],\n",
       " [676582956622721024,\n",
       "  \"Meet Vinnie. He's having fun while being safe. Well not a lot of fun, but definitely safe, and that's important 8/10 https://t.co/vZYtynZZlH\",\n",
       "  8,\n",
       "  2015],\n",
       " [676575501977128964,\n",
       "  'This pupper is very passionate about Christmas. Wanted to give the tree a hug. So cute. 8/10 https://t.co/NsGyECJuq7',\n",
       "  8,\n",
       "  2015],\n",
       " [676237365392908289,\n",
       "  \"Say hello to Winston. He has no respect for the system. Much rebellion. I think that's a palm tree... nice. 8/10 https://t.co/dOLQddhXLZ\",\n",
       "  8,\n",
       "  2015],\n",
       " [675111688094527488,\n",
       "  'Say hello to Oliver. He thought what was inside the pillow should be outside the pillow. Blurry since birth. 8/10 https://t.co/lFU9W31Fg9',\n",
       "  8,\n",
       "  2015],\n",
       " [674394782723014656,\n",
       "  \"This is Gary. He's a hide and seek champion. Second only to Kony. 8/10 Gary has a gift https://t.co/cAlB4XCcsi\",\n",
       "  8,\n",
       "  2015],\n",
       " [674269164442398721,\n",
       "  \"This is Bob. He's a Juniper Fitzsimmons. His body is 2, but his face is 85. Always looks miserable. Nice stool. 8/10 https://t.co/vYe9RlVz2N\",\n",
       "  8,\n",
       "  2015],\n",
       " [673705679337693185,\n",
       "  \"This is Dot. He found out you only pretended to throw the ball that one time. You don't fuck with Dot. 8/10 https://t.co/Ymg4fwKlZd\",\n",
       "  8,\n",
       "  2015],\n",
       " [673580926094458881,\n",
       "  'When you ask your professor about extra credit on the last day of class. 8/10 https://t.co/H6rqZyE4NP',\n",
       "  8,\n",
       "  2015],\n",
       " [673359818736984064,\n",
       "  'This is Steve. He was just relaxing in hot tub when he was intruded upon. 8/10 poor little pup https://t.co/EPq0MRAraJ',\n",
       "  8,\n",
       "  2015],\n",
       " [673295268553605120,\n",
       "  \"Meet Eve. She's a raging alcoholic 8/10 (would b 11/10 but pupper alcoholism is a tragic issue that I can't condone) https://t.co/U36HYQIijg\",\n",
       "  8,\n",
       "  2015],\n",
       " [672995267319328768,\n",
       "  'This is Pumpkin. He can look in two different directions at once. Great with a screwdriver. 8/10 https://t.co/odpuqtz2Fq',\n",
       "  8,\n",
       "  2015],\n",
       " [672877615439593473,\n",
       "  \"This is Oscar. He's getting bombarded with the snacks. Not sure he's happy about it. 8/10 for Oscar https://t.co/dJHI7uC2y3\",\n",
       "  8,\n",
       "  2015],\n",
       " [672160042234327040,\n",
       "  \"This is Bubba. He's a Titted Peebles Aorta. Evolutionary masterpiece. Comfortable with his body. 8/10 great pupper https://t.co/aNkkl5nH3W\",\n",
       "  8,\n",
       "  2015],\n",
       " [671163268581498880,\n",
       "  'Pack of horned dogs here. Very team-oriented bunch. All have weird laughs. Bond between them strong. 8/10 for all https://t.co/U7DQQdZ0mX',\n",
       "  8,\n",
       "  2015],\n",
       " [671134062904504320,\n",
       "  \"Say hello to Clarence. He's a western Alkaline Pita. Very proud of himself for dismembering his stuffed dog pal 8/10 https://t.co/BHxr9O7wJY\",\n",
       "  8,\n",
       "  2015],\n",
       " [671109016219725825,\n",
       "  \"This is Toby. He asked for chocolate cake for his birthday but was given vanilla instead. 8/10 it'll be ok Toby https://t.co/sYi2G0he4H\",\n",
       "  8,\n",
       "  2015],\n",
       " [670786190031921152,\n",
       "  \"This is Creg. You offered him a ride to work but you're late and you just missed his exit. 8/10 https://t.co/3r7wznfuoa\",\n",
       "  8,\n",
       "  2015],\n",
       " [670691627984359425,\n",
       "  'This is Ester. He has a cocaine problem. This is an intervention Ester. We all care about you. 8/10 https://t.co/eCVj2xT59V',\n",
       "  8,\n",
       "  2015],\n",
       " [670679630144274432,\n",
       "  \"This is Pluto. He's holding little waddling dog hostage. Little waddling dog very desperate at this point sos. 8/10 https://t.co/HMcD9SLOAN\",\n",
       "  8,\n",
       "  2015],\n",
       " [670676092097810432,\n",
       "  \"This is Bloo. He's a Westminster Cîroc. Doesn't think Bart deserves legs. Nice flowers. 8/10 https://t.co/IAc1QCczMc\",\n",
       "  8,\n",
       "  2015],\n",
       " [670385711116361728,\n",
       "  \"Meet Larry. He's a Panoramic Benzoate. Can shoot lasers out of his eyes. Very neat. Stuck in that position tho. 8/10 https://t.co/MAZx8MPF0S\",\n",
       "  8,\n",
       "  2015],\n",
       " [669680153564442624,\n",
       "  \"This is Shawwn. He's a Turkish Gangrene Robitussin. Spectacular tongue. Cranks out push-ups. 8/10 #NoDaysOff #swole https://t.co/IQFZKNUlXx\",\n",
       "  8,\n",
       "  2015],\n",
       " [669354382627049472,\n",
       "  'Meet Dug. Dug fucken loves peaches. 8/10 https://t.co/JtA1TG21Xx',\n",
       "  8,\n",
       "  2015],\n",
       " [669216679721873412,\n",
       "  \"This is Clarq. He's a golden Quetzalcoatl. Clarq enjoys eating his own foot. Damn it Clarq. 8/10 would pet firmly https://t.co/d8ybynaRwZ\",\n",
       "  8,\n",
       "  2015],\n",
       " [668537837512433665,\n",
       "  \"This is Spark. He's nervous. Other dog hasn't moved in a while. Won't come when called. Doesn't fetch well 8/10&amp;1/10 https://t.co/stEodX9Aba\",\n",
       "  8,\n",
       "  2015],\n",
       " [668496999348633600,\n",
       "  'This is Jo. Jo is a Swedish Queso. Tongue bigger than face. Tiny lil legs. Still no seatbelt. Simply careless. 8/10 https://t.co/Edy7B5vOp2',\n",
       "  8,\n",
       "  2015],\n",
       " [668248472370458624,\n",
       "  'Say hello to Bisquick. He is a Brown Douglass Fir terrier. Very inbred. Looks terrified. 8/10 still cute tho https://t.co/1XYRh8N00K',\n",
       "  8,\n",
       "  2015],\n",
       " [668204964695683073,\n",
       "  \"This is Ron. Ron's currently experiencing a brain freeze. Damn it Ron. 8/10 https://t.co/4ilfcR5SlK\",\n",
       "  8,\n",
       "  2015],\n",
       " [667793409583771648,\n",
       "  'Dogs only please. Small cows and other non canines will not be tolerated. Sick tattoos tho 8/10 https://t.co/s1z7mX4c9O',\n",
       "  8,\n",
       "  2015],\n",
       " [667773195014021121,\n",
       "  'This is a rare Hungarian Pinot named Jessiga. She is either mid-stroke or got stuck in the washing machine. 8/10 https://t.co/ZU0i0KJyqD',\n",
       "  8,\n",
       "  2015],\n",
       " [667534815156183040,\n",
       "  'This is Frank (pronounced \"Fronq\"). Too many boxing gloves, not enough passion. Frank is a lover not a fighter. 8/10 https://t.co/CpPxD28IpV',\n",
       "  8,\n",
       "  2015],\n",
       " [667517642048163840,\n",
       "  'This is Dook &amp; Milo. Dook is struggling to find who he really is and Milo is terrified of what that might be. 8/10s https://t.co/fh5KflzBR0',\n",
       "  8,\n",
       "  2015],\n",
       " [667393430834667520,\n",
       "  'This is Fwed. He is a Canadian Asian Taylormade. Was having a blast until pink spiky football attacked. 8/10 https://t.co/A37eGLz5WS',\n",
       "  8,\n",
       "  2015],\n",
       " [667177989038297088,\n",
       "  \"This is a Dasani Kingfisher from Maine. His name is Daryl. Daryl doesn't like being swallowed by a panda. 8/10 https://t.co/jpaeu6LNmW\",\n",
       "  8,\n",
       "  2015],\n",
       " [666804364988780544,\n",
       "  'This is Jockson. He is a Pinnacle Sagittarius. Fancy bandana. Enjoys lightly sucking on hot dog in nature. 8/10 https://t.co/RdKbAOEpDK',\n",
       "  8,\n",
       "  2015],\n",
       " [666701168228331520,\n",
       "  'This is a golden Buckminsterfullerene named Johm. Drives trucks. Lumberjack (?). Enjoys wall. 8/10 would hug softly https://t.co/uQbZJM2DQB',\n",
       "  8,\n",
       "  2015],\n",
       " [666691418707132416,\n",
       "  'This is Christoper. He is a spotted Penne. Can easily navigate stairs. 8/10 https://t.co/bg4TqvvkuF',\n",
       "  8,\n",
       "  2015],\n",
       " [666353288456101888,\n",
       "  'Here we have a mixed Asiago from the Galápagos Islands. Only one ear working. Big fan of marijuana carpet. 8/10 https://t.co/tltQ5w9aUO',\n",
       "  8,\n",
       "  2015],\n",
       " [666099513787052032,\n",
       "  'Can stand on stump for what seems like a while. Built that birdhouse? Impressive. Made friends with a squirrel. 8/10 https://t.co/Ri4nMTLq5C',\n",
       "  8,\n",
       "  2015],\n",
       " [666058600524156928,\n",
       "  \"Here is the Rand Paul of retrievers folks! He's probably good at poker. Can drink beer (lol rad). 8/10 good dog https://t.co/pYAJkAe76p\",\n",
       "  8,\n",
       "  2015],\n",
       " [666020888022790149,\n",
       "  'Here we have a Japanese Irish Setter. Lost eye in Vietnam (?). Big fan of relaxing on stair. 8/10 would pet https://t.co/BLDqew2Ijj',\n",
       "  8,\n",
       "  2015]]"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#numerator_rating with value==8\n",
    "less_8=less_10.query('rating_numerator==8')\n",
    "less_8[['tweet_id','text','rating_numerator','year']].values.tolist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No rows strike out to be dropped in this category "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[766423258543644672,\n",
       "  \"This is Shadoe. Her tongue flies out of her mouth at random. Can't have a serious conversation with her. 9/10 https://t.co/Tytt15VquG\",\n",
       "  9,\n",
       "  2016],\n",
       " [758041019896193024,\n",
       "  \"Teagan reads entire books in store so they're free. Loved 50 Shades of Grey (how dare I make that joke so late) 9/10 https://t.co/l46jwv5WYv\",\n",
       "  9,\n",
       "  2016],\n",
       " [750383411068534784,\n",
       "  'This is Zoe. She was trying to stealthily take a picture of you but you just noticed. 9/10 not so sneaky pupper https://t.co/FfH3o88Vta',\n",
       "  9,\n",
       "  2016],\n",
       " [745422732645535745,\n",
       "  'We only rate dogs. Pls stop sending in non-canines like this Jamaican Flop Seal. This is very very frustrating. 9/10 https://t.co/nc53zEN0hZ',\n",
       "  9,\n",
       "  2016],\n",
       " [744995568523612160,\n",
       "  'This is Abby. She got her face stuck in a glass. Churlish af. 9/10 rookie move puppo https://t.co/2FPb45NXrK',\n",
       "  9,\n",
       "  2016],\n",
       " [741438259667034112,\n",
       "  \"This is Tucker. He's still figuring out couches. 9/10 keep your head up pup https://t.co/pXU77HPbJ5\",\n",
       "  9,\n",
       "  2016],\n",
       " [740359016048689152,\n",
       "  \"This is Chase. He's in a predicament. 9/10 help is on the way buddy https://t.co/0HmBk5sSbW\",\n",
       "  9,\n",
       "  2016],\n",
       " [739606147276148736,\n",
       "  'Meet Benji. He just turned 1. Has already given up on a traditional pupper physique. Just inhaled that thing. 9/10 https://t.co/sLUC4th3Zj',\n",
       "  9,\n",
       "  2016],\n",
       " [738184450748633089,\n",
       "  'For the last time, we only rate dogs. Pls stop sending other animals like this Duck-Billed Platypus. Thank you. 9/10 https://t.co/twxYcPOafl',\n",
       "  9,\n",
       "  2016],\n",
       " [735137028879360001,\n",
       "  \"Meet Buckley. His family &amp; some neighbors came over to watch him perform but he's nervous af. 9/10 u got this pupper https://t.co/5bdCpPlno9\",\n",
       "  9,\n",
       "  2016],\n",
       " [730924654643314689,\n",
       "  'We only rate dogs. Pls stop sending non-canines like this Bulgarian Eyeless Porch Bear. This is unacceptable... 9/10 https://t.co/2yctWAUZ3Z',\n",
       "  9,\n",
       "  2016],\n",
       " [727286334147182592,\n",
       "  \"I swear to god if we get sent another Blue Madagascan Peacock we'll deactivate. We 👏 Only 👏 Rate 👏 Dogs... 9/10 https://t.co/bbta2Q4URK\",\n",
       "  9,\n",
       "  2016],\n",
       " [726224900189511680,\n",
       "  \"I'm getting super heckin frustrated with you all sending in non canines like this ostrich. We only rate dogs... 9/10 https://t.co/Rgbni2Ns8z\",\n",
       "  9,\n",
       "  2016],\n",
       " [720059472081784833,\n",
       "  \"This is Charleson. He lost his plunger. Looked everywhere. Can't find it. So sad. 9/10 would comfort https://t.co/pRHX8yn9Yu\",\n",
       "  9,\n",
       "  2016],\n",
       " [718460005985447936,\n",
       "  \"Meet Bowie. He's listening for underground squirrels. Smart af. Left eye is considerably magical. 9/10 would so pet https://t.co/JyNmyjy3fe\",\n",
       "  9,\n",
       "  2016],\n",
       " [717421804990701568,\n",
       "  \"This is Ebby. She's a Zimbabwean Feta. Embarrassed by ridiculously squishy face. 9/10 would squeeze softly https://t.co/LBJqxMGaHi\",\n",
       "  9,\n",
       "  2016],\n",
       " [714982300363173890,\n",
       "  'This is Calbert. He forgot to clear his Google search history. 9/10 rookie mistake Calbert https://t.co/jRm5J3YCmj',\n",
       "  9,\n",
       "  2016],\n",
       " [709519240576036864,\n",
       "  \"This is Vince. He's a Gregorian Flapjeck. White spot on legs almost looks like another dog (whoa). 9/10 rad as hell https://t.co/aczGAV2dK4\",\n",
       "  9,\n",
       "  2016],\n",
       " [709042156699303936,\n",
       "  \"This is Klevin. He's addicted to sandwiches (yes a hotdog is a sandwich fight me) It's tearing his family apart 9/10 https://t.co/7BkkVNu5pd\",\n",
       "  9,\n",
       "  2016],\n",
       " [708845821941387268,\n",
       "  \"Here's a pupper with magic eyes. Not wearing a seat belt tho (irresponsible af). Very distracting to driver. 9/10 https://t.co/5DLJB4ssvI\",\n",
       "  9,\n",
       "  2016],\n",
       " [708119489313951744,\n",
       "  'This is Cooper. He basks in the glory of rebellion. 9/10 probably a preteen https://t.co/kDamUfeIpm',\n",
       "  9,\n",
       "  2016],\n",
       " [707377100785885184,\n",
       "  'This dog just brutally murdered a snowman. Currently toying with its nutritious remains 9/10 would totally still pet https://t.co/iKThgKnW1j',\n",
       "  9,\n",
       "  2016],\n",
       " [706644897839910912,\n",
       "  \"Meet Shadow. She's tired of the responsibilities associated with being a dog. No longer strives to attain ball. 9/10 https://t.co/cdOkfEpjFw\",\n",
       "  9,\n",
       "  2016],\n",
       " [705223444686888960,\n",
       "  \"This is Bode. He's a heavy sleeper. 9/10 https://t.co/YMkxhGWUqv\",\n",
       "  9,\n",
       "  2016],\n",
       " [703425003149250560,\n",
       "  'Really guys? Again? I know this is a rare Albanian Bingo Seal, but we only rate dogs. Only send in dogs... 9/10 https://t.co/6JYLpUmBrC',\n",
       "  9,\n",
       "  2016],\n",
       " [703356393781329922,\n",
       "  'This is Socks. That water pup w the super legs just splashed him. Socks did not appreciate that. 9/10 and 2/10 https://t.co/8rc5I22bBf',\n",
       "  9,\n",
       "  2016],\n",
       " [702217446468493312,\n",
       "  \"I know it's tempting, but please stop sending in pics of Donald Trump. Thank you ...9/10 https://t.co/y35Y1TJERY\",\n",
       "  9,\n",
       "  2016],\n",
       " [701570477911896070,\n",
       "  \"This is Yoda. He's a Zimbabwean Rutabaga. Freaks out if u stop scratching his belly. Incredibly self-centered. 9/10 https://t.co/yVdMsVYHIx\",\n",
       "  9,\n",
       "  2016],\n",
       " [700002074055016451,\n",
       "  \"This is Thumas. He covered himself in nanners for maximum camouflage. It didn't work. I can still see u Thumas. 9/10 https://t.co/x0ZDlNqfb1\",\n",
       "  9,\n",
       "  2016],\n",
       " [698549713696649216,\n",
       "  \"This is Claude. He's trying to be seductive but he forgot to turn on the fireplace. 9/10 damn it Claude https://t.co/EPdQquc1dG\",\n",
       "  9,\n",
       "  2016],\n",
       " [698195409219559425,\n",
       "  \"Meet Beau &amp; Wilbur. Wilbur stole Beau's bed from him. Wilbur now has so much room for activities. 9/10 for both pups https://t.co/GPaoH5qWEk\",\n",
       "  9,\n",
       "  2016],\n",
       " [696894894812565505,\n",
       "  \"These two pirates crashed their ship and don't know what to do now. Very irresponsible of them. Both 9/10 https://t.co/RJvUjgGH5z\",\n",
       "  9,\n",
       "  2016],\n",
       " [696713835009417216,\n",
       "  \"This is Trevith. He's a Swiss Mountain Roadwoof. Breeze too powerful. 9/10 stay strong pupper https://t.co/6J8Ibwy1X6\",\n",
       "  9,\n",
       "  2016],\n",
       " [694329668942569472,\n",
       "  \"Meet Grady. He's very hungry. Too bad no one can find his food bowl. 9/10 poor pupper https://t.co/oToIkYnEGn\",\n",
       "  9,\n",
       "  2016],\n",
       " [694183373896572928,\n",
       "  \"This is Lola. She realized mid hug that she's not ready for a committed relationship with a teddy bear. 9/10 https://t.co/pVebzwRioD\",\n",
       "  9,\n",
       "  2016],\n",
       " [693642232151285760,\n",
       "  \"Meet Freddery. He's a Westminster Toblerone. Seems to enjoy car rides. 9/10 would pat on the head approvingly https://t.co/6BS9XEip9a\",\n",
       "  9,\n",
       "  2016],\n",
       " [693231807727280129,\n",
       "  \"This is Bodie. He's not proud of what he did, but it needed to be done. 9/10 eight days was a pretty good streak tbh https://t.co/bpZsGMqVVP\",\n",
       "  9,\n",
       "  2016],\n",
       " [692919143163629568,\n",
       "  \"Please only send in dogs. Don't submit other things like this pic of Kenny Chesney in a bathtub. Thank you. 9/10 https://t.co/TMpDHHGspy\",\n",
       "  9,\n",
       "  2016],\n",
       " [692017291282812928,\n",
       "  'This is Kingsley Wellensworth III. He owns 7 range rovers. Has a cardigan collection. Would rather be sailing. 9/10 https://t.co/BE4ahQ0IO2',\n",
       "  9,\n",
       "  2016],\n",
       " [690360449368465409,\n",
       "  'Stop sending in lobsters. This is the final warning. We only rate dogs. Thank you... 9/10 https://t.co/B9ZXXKJYNx',\n",
       "  9,\n",
       "  2016],\n",
       " [689877686181715968,\n",
       "  \"This is Durg. He's trying to conquer his fear of trampolines. 9/10 it's not working https://t.co/5iH08ltkoe\",\n",
       "  9,\n",
       "  2016],\n",
       " [689283819090870273,\n",
       "  \"Say hello to Chipson. He's aerodynamic af. No eyes (devastating). 9/10 would make sure he didn't bump into stuff https://t.co/V62rIva61J\",\n",
       "  9,\n",
       "  2016],\n",
       " [689154315265683456,\n",
       "  \"We normally don't rate birds but I feel bad cos this one forgot to fly south for the winter. 9/10 just wants a bath https://t.co/o47yitCn9N\",\n",
       "  9,\n",
       "  2016],\n",
       " [688547210804498433,\n",
       "  'This is Frönq. He got caught stealing a waffle. Damn it Frönq. 9/10 https://t.co/7ycWCUrjmZ',\n",
       "  9,\n",
       "  2016],\n",
       " [687704180304273409,\n",
       "  \"Say hello to Blakely. He thinks that's a hat. Silly pupper. That's a nanner. 9/10 https://t.co/UwOV1jqKRt\",\n",
       "  9,\n",
       "  2016],\n",
       " [687127927494963200,\n",
       "  \"Meet Gordon. He's an asshole. 9/10 would still pet https://t.co/a34N7QwKbb\",\n",
       "  9,\n",
       "  2016],\n",
       " [685906723014619143,\n",
       "  \"This is Olive. He's stuck in a sleeve. 9/10 damn it Olive https://t.co/NnLjg6BgyF\",\n",
       "  9,\n",
       "  2016],\n",
       " [685532292383666176,\n",
       "  'For the last time, WE. DO. NOT. RATE. BULBASAUR. We only rate dogs. Please only send dogs. Thank you ...9/10 https://t.co/GboDG8WhJG',\n",
       "  9,\n",
       "  2016],\n",
       " [684195085588783105,\n",
       "  'This is Tino. He really likes corndogs. 9/10 https://t.co/cUxGtnBfc2',\n",
       "  9,\n",
       "  2016],\n",
       " [683834909291606017,\n",
       "  'Here we see a faulty pupper. Might need to replace batteries. Try turning off &amp; back on again. 9/10 would still pet https://t.co/O1E4AtHVxO',\n",
       "  9,\n",
       "  2016],\n",
       " [683773439333797890,\n",
       "  \"This is Buddy. He's gaining strength. Currently an F4 tornado with wind speeds up to 260mph. Very devastating. 9/10 https://t.co/qipZbshNsR\",\n",
       "  9,\n",
       "  2016],\n",
       " [683142553609318400,\n",
       "  \"Meet Brandy. She's a member of the Bloods. Menacing criminal pupper. Soft spot for flowers tho. 9/10 pet w caution https://t.co/hhIA3coiAJ\",\n",
       "  9,\n",
       "  2016],\n",
       " [682750546109968385,\n",
       "  \"Meet Taco. He's a speckled Garnier Fructis. Loves to shadow box. Ears out of control. Friend clearly impressed 9/10 https://t.co/85X1GHohFr\",\n",
       "  9,\n",
       "  2016],\n",
       " [682389078323662849,\n",
       "  \"Meet Brody. He's a Downton Abbey Falsetto. Addicted to grating cheese. He says he can stop but we know he can't\\n9/10 https://t.co/vBeiQq6SaZ\",\n",
       "  9,\n",
       "  2015],\n",
       " [682303737705140231,\n",
       "  \"This is Todo. He's screaming because he doesn't want to wear his sweater or a seat belt. 9/10 gotta buckle up pup https://t.co/Nm8Spw4HbD\",\n",
       "  9,\n",
       "  2015],\n",
       " [682259524040966145,\n",
       "  \"Meet Jax. He's an Iglesias Hufflepoof. Quite the jokester. Takes it too far sometimes. Can be very hurtful. 9/10 https://t.co/i5TeG0KYcW\",\n",
       "  9,\n",
       "  2015],\n",
       " [681339448655802368,\n",
       "  \"This is Asher. He's not wearing a seatbelt or keeping both paws on the wheel. Absolute menace on the roadways. 9/10 https://t.co/V3SWuHACkh\",\n",
       "  9,\n",
       "  2015],\n",
       " [681261549936340994,\n",
       "  \"Say hello to Panda. He's a Quackadilly Shooster. Not amused by your fake ball throwing motion. 9/10 would hug lots https://t.co/wL1iDvbcVk\",\n",
       "  9,\n",
       "  2015],\n",
       " [680959110691590145,\n",
       "  \"This is Ozzie. He was doing fine until he lost traction in those festive socks. Now he's tired. 9/10 still killin it https://t.co/u4FYdIRKnY\",\n",
       "  9,\n",
       "  2015],\n",
       " [680889648562991104,\n",
       "  \"This is Cheesy. It's her birthday. She's patiently waiting to eat her party muffin. 9/10 happy birthday pup https://t.co/cH2H7mch2H\",\n",
       "  9,\n",
       "  2015],\n",
       " [680609293079592961,\n",
       "  'This is Brody. That is his chair. He loves his chair. Never leaves it. 9/10 might be stuck actually https://t.co/WvJRg0XJit',\n",
       "  9,\n",
       "  2015],\n",
       " [680115823365742593,\n",
       "  'This is Ozzy. He woke up 2 minutes before he had to be ready for the Christmas party. 9/10 classic Ozzy https://t.co/Kt9vmw0Fap',\n",
       "  9,\n",
       "  2015],\n",
       " [679736210798047232,\n",
       "  \"This pup's name is Sabertooth (parents must be cool). Ears for days. Jumps unannounced. 9/10 would pet diligently https://t.co/iazoiNUviP\",\n",
       "  9,\n",
       "  2015],\n",
       " [679475951516934144,\n",
       "  \"This is Evy. She doesn't want to be a Koala. 9/10 https://t.co/VITeF0Kl9L\",\n",
       "  9,\n",
       "  2015],\n",
       " [679047485189439488,\n",
       "  \"This dog doesn't know how to stairs. Quite tragic really. 9/10 get it together pup https://t.co/kTpr9PTMg1\",\n",
       "  9,\n",
       "  2015],\n",
       " [678255464182861824,\n",
       "  'This is Jessifer. She is a Bismoth Teriyaki. Flowers being attacked by hurricanes on bandana (rad). 9/10 stellar pup https://t.co/nZhmRwZzWv',\n",
       "  9,\n",
       "  2015],\n",
       " [677895101218201600,\n",
       "  \"Guys this was terrifying. Really spooked me up. We don't rate ghosts. We rate dogs. Please only send dogs... 9/10 https://t.co/EJImi1udYb\",\n",
       "  9,\n",
       "  2015],\n",
       " [677698403548192770,\n",
       "  'This is Sadie. She got her holidays confused. 9/10 damn it Sadie https://t.co/fm7HxOsuPK',\n",
       "  9,\n",
       "  2015],\n",
       " [677673981332312066,\n",
       "  'Endangered triangular pup here. Could be a wizard. Caught mid-laugh. No legs. Just fluff. Probably a wizard. 9/10 https://t.co/GFVIHIod0Z',\n",
       "  9,\n",
       "  2015],\n",
       " [677530072887205888,\n",
       "  \"Say hello to Axel. He's a Black Chevy Pinot on wheels. 0 to 60 in 5.7 seconds (if downhill). 9/10 I call shotgun https://t.co/DKe9DBnnHE\",\n",
       "  9,\n",
       "  2015],\n",
       " [677334615166730240,\n",
       "  'This dog gave up mid jump. 9/10 https://t.co/KmMv3Y2zI8',\n",
       "  9,\n",
       "  2015],\n",
       " [677331501395156992,\n",
       "  \"Meet Humphrey. He's a Northern Polyp Viagra. One ear works. Face stuck like that. Always surprised. 9/10 petable af https://t.co/FS7eJQM2F4\",\n",
       "  9,\n",
       "  2015],\n",
       " [677187300187611136,\n",
       "  'Here we see a Byzantine Rigatoni. Very aerodynamic. No eyes. Actually not windy here they just look like that. 9/10 https://t.co/gzI0m6wXRo',\n",
       "  9,\n",
       "  2015],\n",
       " [676942428000112642,\n",
       "  'Who leaves the last cupcake just sitting there? 9/10 https://t.co/PWMqAoEx2a',\n",
       "  9,\n",
       "  2015],\n",
       " [676811746707918848,\n",
       "  'Say hello to Penny &amp; Gizmo. They are practicing their caroling. The ambition in the room is tangible. 9/10 for both https://t.co/aqBHjjh5VD',\n",
       "  9,\n",
       "  2015],\n",
       " [676603393314578432,\n",
       "  'This is Godzilla pupper. He had a ruff childhood &amp; now deflects that pain outward by terrorizing cities. Tragic 9/10 https://t.co/g1tLGkyaxr',\n",
       "  9,\n",
       "  2015],\n",
       " [676496375194980353,\n",
       "  \"Say hello to Griffin. He's upset because his costume for Halloween didn't arrive until today. 9/10 cheer up pup https://t.co/eoBCjSFajX\",\n",
       "  9,\n",
       "  2015],\n",
       " [676089483918516224,\n",
       "  '\"Yes hello I\\'ma just snag this here toasted bagel real quick. carry on.\" 9/10 https://t.co/Cuz0Osnekp',\n",
       "  9,\n",
       "  2015],\n",
       " [675145476954566656,\n",
       "  'What an honor. 3 dogs here. Blond one is clearly a gymnast. Other two just confused. Very nifty pups. 9/10 for all https://t.co/YDgstgIDGs',\n",
       "  9,\n",
       "  2015],\n",
       " [675109292475830276,\n",
       "  \"C'mon guys. We've been over this. We only rate dogs. This is a cow. Please only submit dogs. Thank you...... 9/10 https://t.co/WjcELNEqN2\",\n",
       "  9,\n",
       "  2015],\n",
       " [674788554665512960,\n",
       "  \"Say hello to Maggie. She's a Western Septic Downy. Pretends to be Mexican. Great hardwood flooring. 9/10 https://t.co/P3ElQ2wsjb\",\n",
       "  9,\n",
       "  2015],\n",
       " [674670581682434048,\n",
       "  \"Meet Jeb &amp; Bush. Jeb is somehow stuck in that fence and Bush won't stop whispering sweet nothings in his ear. 9/10s https://t.co/NRNExUy9Hm\",\n",
       "  9,\n",
       "  2015],\n",
       " [674436901579923456,\n",
       "  \"Meet Bailey. She plays with her food. Very childish. Doesn't even need a battle helmet smh. Still cute though. 9/10 https://t.co/CLEOjxhTEx\",\n",
       "  9,\n",
       "  2015],\n",
       " [674262580978937856,\n",
       "  \"This is Gus. He's super stoked about being an elephant. Couldn't be happier. 9/10 for elephant pupper https://t.co/gJS1qU0jP7\",\n",
       "  9,\n",
       "  2015],\n",
       " [674036086168010753,\n",
       "  'Meet Daisy. She has no eyes &amp; her face has been blurry since birth. Quite the trooper tho. Still havin a blast. 9/10 https://t.co/jcNdw43BIP',\n",
       "  9,\n",
       "  2015],\n",
       " [673688752737402881,\n",
       "  \"Meet Larry. He doesn't know how to shoe. 9/10 damn it Larry https://t.co/jMki5GOV3y\",\n",
       "  9,\n",
       "  2015],\n",
       " [673350198937153538,\n",
       "  \"This is Bella. She's a Genghis Flopped Canuck. Stuck in trash can. 9/10 not to happy about it https://t.co/RMv9EAv57u\",\n",
       "  9,\n",
       "  2015],\n",
       " [672640509974827008,\n",
       "  'This is Leonidas. He just got rekt by a snowball. 9/10 doggy down https://t.co/uNrmYDUa9M',\n",
       "  9,\n",
       "  2015],\n",
       " [672594978741354496,\n",
       "  \"Meet Scott. Just trying to catch his train to work. Doesn't need everybody staring. 9/10 ignore the haters pupper https://t.co/jyXbZ35MYz\",\n",
       "  9,\n",
       "  2015],\n",
       " [672222792075620352,\n",
       "  \"This is Cal. He's a Swedish Geriatric Cheddar. Upset because the pope is laughing at his eyebrows. 9/10 https://t.co/EW4MsOrF5O\",\n",
       "  9,\n",
       "  2015],\n",
       " [672205392827572224,\n",
       "  \"This is Opal. He's a Royal John Coctostan. Ready for transport. Basically indestructible. 9/10 good pupper https://t.co/yRBQF9OS7D\",\n",
       "  9,\n",
       "  2015],\n",
       " [672095186491711488,\n",
       "  \"This is Tuco. That's the toast that killed his father. 9/10 https://t.co/ujnWy26RMe\",\n",
       "  9,\n",
       "  2015],\n",
       " [671536543010570240,\n",
       "  \"This is Reginald. He's pondering what life would be like without so much damn skin. 9/10 it'll be ok buddy https://t.co/1U5Ro5FA4c\",\n",
       "  9,\n",
       "  2015],\n",
       " [671518598289059840,\n",
       "  \"This is Scruffers. He's being violated on multiple levels and is not happy about it. 9/10 hang in there Scruffers https://t.co/nLQoltwEZ7\",\n",
       "  9,\n",
       "  2015],\n",
       " [671357843010908160,\n",
       "  'Tfw she says hello from the other side. 9/10 https://t.co/lS1TIDagIb',\n",
       "  9,\n",
       "  2015],\n",
       " [671147085991960577,\n",
       "  \"This is a Helvetica Listerine named Rufus. This time Rufus will be ready for the UPS guy. He'll never expect it 9/10 https://t.co/34OhVhMkVr\",\n",
       "  9,\n",
       "  2015],\n",
       " [671141549288370177,\n",
       "  'Neat pup here. Enjoys lettuce. Long af ears. Short lil legs. Hops surprisingly high for dog. 9/10 still very petable https://t.co/HYR611wiA4',\n",
       "  9,\n",
       "  2015],\n",
       " [670789397210615808,\n",
       "  'Two obedient dogs here. Left one has extra leg sticking out of its back. They each get 9/10. Would pet both at once https://t.co/RGcNPsmAfY',\n",
       "  9,\n",
       "  2015],\n",
       " [670755717859713024,\n",
       "  \"Say hello to Gin &amp; Tonic. They're having a staring contest. Very very intense. 9/10 for both https://t.co/F6bI9dF16E\",\n",
       "  9,\n",
       "  2015],\n",
       " [670427002554466305,\n",
       "  'This is a Deciduous Trimester mix named Spork. Only 1 ear works. No seat belt. Incredibly reckless. 9/10 still cute https://t.co/CtuJoLHiDo',\n",
       "  9,\n",
       "  2015],\n",
       " [670093938074779648,\n",
       "  \"This is Wally. He's a Flaccid Mitochondria. Going on vacation. Bag definitely full of treats. Great hat. 9/10 https://t.co/vYs9IVzHY9\",\n",
       "  9,\n",
       "  2015],\n",
       " [669993076832759809,\n",
       "  \"This is Zoey. Her dreams of becoming a hippo ballerina don't look promising. 9/10 it'll be ok puppers https://t.co/kR1fqy4NKK\",\n",
       "  9,\n",
       "  2015],\n",
       " [669567591774625800,\n",
       "  \"Meet Kollin. He's a Parakeetian Badminton from Denmark. Great artist. Taking break from research. Loves wicker 9/10 https://t.co/XPLB3eoXiX\",\n",
       "  9,\n",
       "  2015],\n",
       " [669203728096960512,\n",
       "  'This is Samsom. He is sexually confused. Really wants to be a triceratops. 9/10 just a great guy https://t.co/HPoce45SI3',\n",
       "  9,\n",
       "  2015],\n",
       " [668986018524233728,\n",
       "  \"This is Ruby. She's a Bimmington Fettuccini. One ear works a lil better than other. Looks startled. Cool carpet 9/10 https://t.co/j0Wpa42KCH\",\n",
       "  9,\n",
       "  2015],\n",
       " [668932921458302977,\n",
       "  'This is Herald. He likes to swing. Subtle tongue slip. Owner good at b-ball. Creepy person on bench back there. 9/10 https://t.co/rcrKkL7eB6',\n",
       "  9,\n",
       "  2015],\n",
       " [668627278264475648,\n",
       "  \"This is Timofy. He's a pilot for Southwest. It's Christmas morning &amp; everyone has gotten kickass gifts but him. 9/10 https://t.co/3FuNbzyPwo\",\n",
       "  9,\n",
       "  2015],\n",
       " [668484198282485761,\n",
       "  'Good teamwork between these dogs. One is on lookout while other eats. Long necks. Nice big house. 9/10s good pups https://t.co/uXgmECGYEB',\n",
       "  9,\n",
       "  2015],\n",
       " [668297328638447616,\n",
       "  '2 rare dogs. They waddle (v inefficient). Sometimes slide on bellies. Right one wants to be aircraft Marshall. 9/10s https://t.co/P8bivfp5sU',\n",
       "  9,\n",
       "  2015],\n",
       " [667924896115245057,\n",
       "  'This is Jiminy. He has always wanted to be a cheerleader. Can jump high enough to get on other dog. Go Jiminy. 9/10 https://t.co/fW6kIPFGD2',\n",
       "  9,\n",
       "  2015],\n",
       " [667902449697558528,\n",
       "  'This is Cleopatricia. She is a northern Paperback Maple. Set up hammock somehow. 9/10 would chill in hammock with https://t.co/sJeHdGUt0W',\n",
       "  9,\n",
       "  2015],\n",
       " [667861340749471744,\n",
       "  'This is a Shotokon Macadamia mix named Cheryl. Sophisticated af. Looks like a disappointed librarian. Shh (lol) 9/10 https://t.co/J4GnJ5Swba',\n",
       "  9,\n",
       "  2015],\n",
       " [667546741521195010,\n",
       "  'Here is George. George took a selfie of his new man bun and that is downright epic. (Also looks like Rand Paul) 9/10 https://t.co/afRtVsoIIb',\n",
       "  9,\n",
       "  2015],\n",
       " [667538891197542400,\n",
       "  'This is a southwest Coriander named Klint. Hat looks expensive. Still on house arrest :(\\n9/10 https://t.co/IQTOMqDUIe',\n",
       "  9,\n",
       "  2015],\n",
       " [667495797102141441,\n",
       "  'This is Philippe from Soviet Russia. Commanding leader. Misplaced other boot. Hung flag himself. 9/10 charismatic af https://t.co/5NhPV8E45i',\n",
       "  9,\n",
       "  2015],\n",
       " [667211855547486208,\n",
       "  'This is Genevieve. She is a golden retriever cocktail mix. Comfortable close to wall. Shows no emotions. 9/10 https://t.co/azEoGqVonH',\n",
       "  9,\n",
       "  2015],\n",
       " [667174963120574464,\n",
       "  \"This is Clarence. His face says he doesn't want to be a donkey, but his tail is super pumped about it. 9/10 https://t.co/fGDWgukcBs\",\n",
       "  9,\n",
       "  2015],\n",
       " [666817836334096384,\n",
       "  'This is Jeph. He is a German Boston Shuttlecock. Enjoys couch. Lost body during French Revolution. True hero 9/10 https://t.co/8whlkYw3mO',\n",
       "  9,\n",
       "  2015],\n",
       " [666644823164719104,\n",
       "  'This is Jimothy. He is a Botwanian Gouda. Can write (impressive). Very erect tail. Still looking for hoco date. 9/10 https://t.co/LEkZjZxESQ',\n",
       "  9,\n",
       "  2015],\n",
       " [666447344410484738,\n",
       "  \"This is Scout. She is a black Downton Abbey. Isn't afraid to get dirty. 9/10 nothing bad to say https://t.co/kH60oka1HW\",\n",
       "  9,\n",
       "  2015],\n",
       " [666396247373291520,\n",
       "  'Oh goodness. A super rare northeast Qdoba kangaroo mix. Massive feet. No pouch (disappointing). Seems alert. 9/10 https://t.co/Dc7b0E8qFE',\n",
       "  9,\n",
       "  2015],\n",
       " [666337882303524864,\n",
       "  'This is an extremely rare horned Parthenon. Not amused. Wears shoes. Overall very nice. 9/10 would pet aggressively https://t.co/QpRjllzWAL',\n",
       "  9,\n",
       "  2015],\n",
       " [666094000022159362,\n",
       "  'This appears to be a Mongolian Presbyterian mix. Very tired. Tongue slip confirmed. 9/10 would lie down with https://t.co/mnioXo3IfP',\n",
       "  9,\n",
       "  2015],\n",
       " [666071193221509120,\n",
       "  'Here we have a northern speckled Rhododendron. Much sass. Gives 0 fucks. Good tongue. 9/10 would caress sensually https://t.co/ZoL8kq2XFx',\n",
       "  9,\n",
       "  2015],\n",
       " [666057090499244032,\n",
       "  'My oh my. This is a rare blond Canadian terrier on wheels. Only $8.98. Rather docile. 9/10 very rare https://t.co/yWBqbrzy8O',\n",
       "  9,\n",
       "  2015],\n",
       " [666033412701032449,\n",
       "  'Here is a very happy pup. Big fan of well-maintained decks. Just look at that tongue. 9/10 would cuddle af https://t.co/y671yMhoiR',\n",
       "  9,\n",
       "  2015]]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#numerator_rating with value==9\n",
    "less_9=less_10.query('rating_numerator==9')\n",
    "less_9[['tweet_id','text','rating_numerator','year']].values.tolist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No rows required to be dropped in this category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(241, 16)"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "less_10.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Remove rows with **rating_numerator** of value less than **10** in **twitter_archive_clean**,then cocatenate with **less_10** dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape before dropping: (1591, 18)\n",
      "shape after dropping: (1331, 18)\n"
     ]
    }
   ],
   "source": [
    "print('shape before dropping:',twitter_archive_clean.shape)\n",
    "twitter_archive_clean=twitter_archive_clean.query('rating_numerator>=10')\n",
    "print('shape after dropping:',twitter_archive_clean.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "twitter_archive_clean = pd.concat([twitter_archive_clean, less_10],\n",
    "                             ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1562, 18)"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_clean.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following are the reasons for having rating_numerator values less than 10 in the twitter_archive Dataset ;\n",
    "1.  some tweets were not dog related(i.e,contain other animals pictures instead of dog)\n",
    "2.  some dogs were in costumes(Halloween and christmas costumes)\n",
    "3.  some dogs were being naughty and \n",
    "4.  The account handler sarcasm  \n",
    "5.  The algorithm used in scraping didnt take into considerations the following \n",
    "\n",
    "    a. that some texts will have multiple numbers and the first number it encounters might not be the rating <br>\n",
    "    b. that some ratings might be decimal ,like bella which had a 13.5 rating <br>\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Issue #10:\n",
    "extract required value from the source column "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  Define\n",
    "use pandas.str.replace method to extract value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>     1534\n",
       "<a href=\"http://twitter.com\" rel=\"nofollow\">Twitter Web Client</a>                       22\n",
       "<a href=\"https://about.twitter.com/products/tweetdeck\" rel=\"nofollow\">TweetDeck</a>       6\n",
       "Name: source, dtype: int64"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_clean['source'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "twitter_archive_clean['source']=twitter_archive_clean['source'].str.replace('<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>','Twitter for Iphone')\n",
    "twitter_archive_clean['source']=twitter_archive_clean['source'].str.replace('<a href=\"http://twitter.com\" rel=\"nofollow\">Twitter Web Client</a>','Twitter Web Client')\n",
    "twitter_archive_clean['source']=twitter_archive_clean['source'].str.replace('<a href=\"https://about.twitter.com/products/tweetdeck\" rel=\"nofollow\">TweetDeck</a>','TweetDeck')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Twitter for Iphone    1534\n",
       "Twitter Web Client      22\n",
       "TweetDeck                6\n",
       "Name: source, dtype: int64"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_clean['source'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Issue #11:\n",
    "Bella('tweet_id-883482846933004288) has a 5 numerator rating instead of 13.5 "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define:\n",
    "use advance indexing to isolate and correct the issue"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Code:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "mask = twitter_archive_clean.tweet_id == 883482846933004288\n",
    "column_name = 'rating_numerator'\n",
    "twitter_archive_clean.loc[mask, column_name] = 13"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "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>rating_numerator</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1331</th>\n",
       "      <td>Bella</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       name  rating_numerator\n",
       "1331  Bella                13"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_clean[['name','rating_numerator']][twitter_archive_clean['tweet_id']==883482846933004288]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Issue #12:\n",
    " the four dog stages spread across 4 columns which  violates the tidiness rule of one variable to make a column whilst them being values."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define:\n",
    "combine them into a column "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "                1320\n",
       "pupper           158\n",
       "doggo             48\n",
       "puppo             21\n",
       "doggopupper        7\n",
       "floofer            6\n",
       "doggopuppo         1\n",
       "doggofloofer       1\n",
       "Name: stage, dtype: int64"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# replacing the None in each stage with an empty string\n",
    "twitter_archive_clean.doggo.replace('None', '', inplace=True) \n",
    "twitter_archive_clean.floofer.replace('None', '', inplace=True)  \n",
    "twitter_archive_clean.pupper.replace('None', '', inplace=True)  \n",
    "twitter_archive_clean.puppo.replace('None', '', inplace=True)  \n",
    "\n",
    "# Then combine stage columns.\n",
    "twitter_archive_clean['stage'] = twitter_archive_clean.doggo + twitter_archive_clean.floofer + twitter_archive_clean.pupper + twitter_archive_clean.puppo\n",
    "twitter_archive_clean['stage'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "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>tweet_id</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "      <th>name</th>\n",
       "      <th>doggo</th>\n",
       "      <th>floofer</th>\n",
       "      <th>pupper</th>\n",
       "      <th>puppo</th>\n",
       "      <th>likes</th>\n",
       "      <th>retweets</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>p1</th>\n",
       "      <th>p2</th>\n",
       "      <th>p3</th>\n",
       "      <th>stage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [tweet_id, source, text, rating_numerator, rating_denominator, name, doggo, floofer, pupper, puppo, likes, retweets, year, month, day, p1, p2, p3, stage]\n",
       "Index: []"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_clean.head(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "#drop the indivdual dog stages columns\n",
    "twitter_archive_clean.drop(columns=['doggo','floofer','pupper','puppo'],inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "                 1320\n",
       "pupper            158\n",
       "doggo              48\n",
       "puppo              21\n",
       "doggo,pupper        7\n",
       "floofer             6\n",
       "doggo,floofer       1\n",
       "doggo,puppo         1\n",
       "Name: stage, dtype: int64"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_clean['stage'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "over a thousand dog stages werent specified in the tweets "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Storing Data\n",
    "Save gathered, assessed, and cleaned master dataset to a CSV file named \"twitter_archive_master.csv\"."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To get a twitter_archive_master.csv,it will be required we merge the dog_breeds column with  twitter_archive_clean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "twitter_archive_clean.to_csv('twitter_archive_master.csv',index=False)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analyzing and Visualizing Data\n",
    "In this section, analyze and visualize your wrangled data. You must produce at least **three (3) insights and one (1) visualization.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import visualization libraries \n",
    "%matplotlib inline\n",
    "\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "from wordcloud import WordCloud, STOPWORDS\n",
    "stopwords = set(STOPWORDS)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create a resuable wordcloud function\n",
    "def textviz(data=[]):\n",
    "    wordcloud=WordCloud(\n",
    "    background_color='white',\n",
    "    stopwords=stopwords,\n",
    "    max_words=60,\n",
    "    max_font_size=35,\n",
    "    scale=3,\n",
    "    random_state=1\n",
    "    ).generate(str(data))\n",
    "    fig=plt.figure(1,figsize=(12,12))\n",
    "    plt.axis('off')\n",
    "    plt.imshow(wordcloud)\n",
    "    plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Dog Breeds Visualization** <br>\n",
    "Below is the Wordcloud Visualization for the top 50 Dog breeds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1464666d30>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "textviz(twitter_archive_master[['p1','p2','p3']])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Viz of the text column**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa7fc054ac8>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "textviz(twitter_archive_master['text'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Above are the handlers most used words in terms of Adjectives (majestic,favorite),Dog names(Franklin,Biden)and Dog stages(puppo,pup)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Twitter for Iphone    1572\n",
      "Twitter Web Client      22\n",
      "TweetDeck                6\n",
      "Name: source, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "value =twitter_archive_master['source'].value_counts()\n",
    "print(value)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa7fddde668>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "value.plot(kind='bar',title=\"WeRateDog Tweeting Platforms\");\n",
    "plt.xlabel('Device');\n",
    "plt.ylabel('Frequency');\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f14645758d0>]"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAD8CAYAAACcjGjIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4wLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvpW3flQAAIABJREFUeJzs3XdcldUfwPHPYSsiiKAiQwERHDhxm3vvTCsbamVmv8qmqVlpmqltbZkt0zIr996ae2HKEBAUZIgiIkM23PP7416uXO/VUFFAzvv18gXPued5OBf1+d7znPEVUkoURVEUpTizsm6AoiiKUv6o4KAoiqIYUcFBURRFMaKCg6IoimJEBQdFURTFiAoOiqIoihEVHBRFURQjKjgoiqIoRlRwUBRFUYxYlHUD7pSTk5OsX79+WTdDURSlwggMDEyWUjqXpG6FDQ7169fn+PHjZd0MRVGUCkMIcb6kddVjJUVRFMWICg6KoiiKERUcFEVRFCMqOCiKoihGVHBQFEVRjKjgoCiKohhRwUFRFEUx8p/BQQjhK4Q4WexPuhDiNSGEoxBiuxAiUve1hq6+EEIsEEJECSGChBCtil1rjK5+pBBiTLHy1kKIYN05C4QQ4t68XUVRlIprRWA8+yOT78vP+s/gIKWMkFK2kFK2AFoDWcBqYAqwU0rpA+zUHQP0B3x0f8YD3wEIIRyB6UA7oC0wvSig6OqML3Zev1J5d4qiKA+A5Gu51J+ykbf+PsVTPx25Lz/zdh8r9QTOSinPA0OBX3XlvwLDdN8PBZZIrcOAgxDCBegLbJdSpkgprwLbgX6616pLKQ9JKSWwpNi1FEVRKrXPt58h4MMd+uOj03rel597u9tnPA78ofu+tpQyEUBKmSiEqKUrdwXiip0Tryu7VXm8iXIjQojxaHsYeHh43GbTFUVRKo5L6Tm0+2in/vjN3g15pafPffv5JQ4OQggrYAgw9b+qmiiTd1BuXCjlImARQEBAgMk6iqIoFd3sjaf5YV+0/vjEe71xtLW6r224nZ5Df+CElPKS7viSEMJF12twAZJ05fGAe7Hz3IALuvJuN5Tv0ZW7maivKIpSqcRfzaLzvN3643cHNmLcQ15l0pbbGXMYxfVHSgDrgKIZR2OAtcXKR+tmLbUH0nSPn7YCfYQQNXQD0X2ArbrXMoQQ7XWzlEYXu5aiKEql8O6aYIPAcGp6nzILDFDCnoMQoirQG3ihWPFc4C8hxHNALDBSV74JGABEoZ3Z9AyAlDJFCDELOKarN1NKmaL7/kVgMVAF2Kz7oyiK8sCLSc6k26d79MezhjXl6fb1yq5BOkI7QajiCQgIkCqfg6IoFdmbf51i5Ynr83FCPuhLNet7l2ZHCBEopQwoSd0Km+xHURSloopKyqDX53v1xx+PaMajAe63OOP+U8FBURTlPpFS8tKyE2wKvgiAlbkZp6b3oYqVeRm3zJgKDoqiKPfB6QvpDFiwT388//EWDG1hcklXuaCCg6Ioyj0kpeSZxcfYE3EZAPsqlhx5pyc2luWvt1CcCg6Koij3yKm4VIZ+c0B/vPCp1vRrWqcMW1RyKjgoiqKUMo1G8viiwxyN0c7Wd7G34Z9J3bGyqDhZElRwUBRFKUXHY1IYsfCQ/viXZ9rQ3bfWLc4on1RwUBRFKQWFGsnQb/YTkpAOgJezLdte64KFecXpLRSngoOiKMpdOhiVzBM/Xs+zsGxcOzo2cCrDFt09FRwURVHuUEGhhj5f7uXc5UwA/F3tWfNSJ8zNKn4ySxUcFEVR7sDuiCSe+eWY/vjvCR1oU9+xDFtUulRwUBRFuQ15BRq6frKbxLQcANp6OrL8+faYPQC9heJUcFAURSmhLSEXmfBboP54zUudaOHuUIYtundUcFAURfkPOfmFtPtoJ2nZ+QB0bejM4mfaoE1B82BSwUFRFOUW1p5M4NXlJ/XHmyY+ROO61cuwRfeHCg6KoigmZOUV0OKD7eQVagAY4F+Hb55o9UD3FopTwUFRFOUGfx2P4+0VQfrj7a93wae2XRm26P5TwUFRFEUnIycf/xnb9MfDW7ny2cjmlaa3UJwKDoqiKMDSQzG8tzZUf7z7rW54OtmWXYPKWIk2/RBCOAghVgghwoUQYUKIDkIIRyHEdiFEpO5rDV1dIYRYIISIEkIECSFaFbvOGF39SCHEmGLlrYUQwbpzFojKGKYVRSkTaVn51J+yUR8YnmznQfScAZU6MEAJgwMwH9gipfQDmgNhwBRgp5TSB9ipOwboD/jo/owHvgMQQjgC04F2QFtgelFA0dUZX+y8fnf3thRFUf7bD3vP0Xzm9cdI+97uzuyH/SvlY6Qb/edjJSFEdaALMBZASpkH5AkhhgLddNV+BfYAk4GhwBIppQQO63odLrq626WUKbrrbgf6CSH2ANWllId05UuAYcDmUnmHiqIoN7hyLZfWH+7QH4/r7Mm7gxqXYYvKn5KMOXgBl4FfhBDNgUDgVaC2lDIRQEqZKIQo2rDcFYgrdn68ruxW5fEmyo0IIcaj7WHg4eFRgqYriqIYWrAzks+3n9EfH5raAxf7KmXYovKpJMHBAmgFvCKlPCKEmM/1R0immOqPyTsoNy6UchGwCCAgIMBkHUVRFFOS0nNo+9FO/fErPRrwZh/fMmxR+VaS4BAPxEspizYrX4E2OFwSQrjoeg0uQFKx+u7FzncDLujKu91QvkdX7maivqIoSqn4eEs43+45qz8+Oq0ntexsyrBF5d9/DkhLKS8CcUKIohDbEzgNrAOKZhyNAdbqvl8HjNbNWmoPpOkeP20F+gghaugGovsAW3WvZQgh2utmKY0udi1FUZQ7diE1m/pTNuoDw6S+vsTMHagCQwmUdJ3DK8DvQggr4BzwDNrA8pcQ4jkgFhipq7sJGABEAVm6ukgpU4QQs4CiDdBnFg1OAy8Ci4EqaAei1WC0oih3TErJB+tPs/hgjL7sxHu9cbS1KrtGVTBCO6mo4gkICJDHjx8v62YoilLOxF7Jossnu/XH7w1qzHOdPcuwReWHECJQShlQkrpqhbSiKA8EKSVTVgbz5/HrkyJPvd8H+6qWZdiqiksFB0VRKryopGv0+vwf/fHsh5vyZLt6Zdiiik8FB0VRKiwpJa8uP8m6U9cnOAbP6IOdjeot3C0VHBRFqZDCEtPpP3+f/viTEc0YGeB+izOU26GCg6IoFYpGIxm/NJAdYZcAqGplzvF3e1HVSt3OSpP6bSqKUmEExacy5OsD+uOvRrVkcPO6ZdiiB5cKDoqilHuFGsnon49wIOoKAE7VrNg/uQc2luZl3LIHlwoOiqKUa4HnU3jku0P64++fbk3fJnXKsEWVgwoOiqKUS/mFGh79/hD/xqYC4O5YhR1vdMXaQvUW7gcVHBRFKXcOnk3miR+O6I9/eaYN3X1r3eIMpbSp4KAoSrmRV6BhyNf7Cb+YAYBvbTvWv9IZK4uSJq1USosKDoqilAt7IpIY+8sx/fGyce3o2MCpDFtUuangoChKmcrJL6TPF3uJTckCoIW7A39P6IClueotlCUVHBRFuW80GsmKwHisLc0Y2sKVraEXeWFpoP71vyd0oE19xzJsoVJEBQdFUe6LiIsZTF0VxInYVIa3cmXWhjCSr+UC0MGrJkufa4uF6i2UGyo4KIpyT+XkF/L1rigW/nMWG0tzOnrXZNWJBP3ra17qRAt3hzJsoWKKCg6KotwzB88mM211CNHJmbTycOBEbCoHz2pXOff0q8Wi0QGYmwmj8woKNVxMz8GtRtX73WRFRwUHRVFK3dXMPGZvCmNFYDzVrC0IqFeD4+ev6l/f8EpnmrraG50npWRT8EU+2xZB/NVsTk7vrTbUKyPqt64oSqmRUrL25AVmbjhNSmYeLdwdOBmXqg8MA5u5sODxliZ7Cweikpm3JZyg+DQcba344rEWKjCUoRL95oUQMUAGUAgUSCkDhBCOwJ9AfSAGeFRKeVUIIYD5wAAgCxgrpTyhu84Y4F3dZT+UUv6qK28NLAaqAJuAV2VFTW6tKJVU7JUspq0JZl9kMnbWFjRzs+dkXKr+9W2vd6FhbTuj84Lj05i3JZz9UckADG5elxmDG1OzmvV9a7ti7HbCcncpZXKx4ynATinlXCHEFN3xZKA/4KP70w74DminCybTgQBAAoFCiHVSyqu6OuOBw2iDQz9g8129M0VR7ov8Qg0/7Y/myx1nyMnX0NzNnlPxaQTFpwEworUbHz/SDLMbegvnLl/js21n2BicCICznTUfDmuqNtUrJ+6mzzYU6Kb7/ldgD9rgMBRYovvkf1gI4SCEcNHV3S6lTAEQQmwH+gkh9gDVpZSHdOVLgGGo4KAo5d6puFSmrAomLDEdO2sL6tW25ZQuKADserMrXs7VDM65lJ7Dlzsi+et4HIUa7QOCR1q58f6gxthXVek9y4uSBgcJbBNCSOB7KeUioLaUMhFASpkohCjaFcsViCt2bryu7Fbl8SbKjQghxqPtYeDh4VHCpiuKUtoycwv4bNsZFh+MRiOhqWt1QhLSibik3RPpqfYezBraFO1TZq20rHy+++csiw9Gk5OvAcDF3oaPhvurTfXKoZIGh05Sygu6ALBdCBF+i7rGI03a4HK75caF2qC0CCAgIECNSShKGdgZdon31oRwIS0HOxsLHG2tCElI17++d1J3PGpen4Kak1/I4oMxfLs7ivScAn35E+08mNrfDzsb1Vsoj0oUHKSUF3Rfk4QQq4G2wCUhhIuu1+ACJOmqxwPFs3y7ARd05d1uKN+jK3czUV9RlHIkKT2HD9af1o8RNHapzunEdDJ0N/znH/LknQGN9L2FgkINfwfG8+WOM1xKz9Vfx92xCvOGN1Ob6pVz/xkchBC2gJmUMkP3fR9gJrAOGAPM1X1dqztlHfCyEGI52gHpNF0A2Qp8JISooavXB5gqpUwRQmQIIdoDR4DRwFel9xYVRbkbGo1k+bE45mwOIyOnADsbC2ytLDideL23cGBKD1wdqgDa6aybQy7y6dYIziVn6usIAWM71mdSX181RbUCKMnfUG1gte7TgAWwTEq5RQhxDPhLCPEcEAuM1NXfhHYaaxTaqazPAOiCwCygaE/emUWD08CLXJ/Kuhk1GK0o5ULkpQymrgrWr1PwrW1HxKUMfW9hYo8GvN67ob63UHytgou9DU7VrEi+loeXky0fj2hGgNpUr8IQFXU5QUBAgDx+/HhZN0NRHkg5+YV8u+cs3+2JIr9QYmdjgYWZ4GpWvr7OkXd6Uru6DaBdq/Dx1nD2RSbj6lCF5u72HIu5ypVruTzfxYvXezXExlKl9yxrQohAKWVASeqqvp2iKAYOn7vCO6uDOXdZ+0ioQa1qRCVd078+qa8v/+vmjRBCu1Zh+xk2BiVSo6olr/RowNnL19gUfJGGtavx4+gAmqtN9SokFRwURQG0U03nbA5j+THtjHM7GwsKCqVBYDg2rRfOdtZcSs9h/s5I/jwWh7WFGRN7NMDNsSofbwknNSufiT19eKm7N9YWqrdQUangoCiVnJSS9UGJzFwfSvK1PAA8nWyJLjaY/O7ARox7yIu07HzmbQnnlwPRFGokT7XzYFQ7DxbsjGTBriia1K3Okmfb0bhu9bJ6O0opUcFBUSqxuJQs3lsbwp6Iy4C2t3Att8AgMJx4rzdVrcxZ+M9ZvttzlvScfIY2r8sbvX35N+4qoxYdJjO3kEl9fRnfxUul93xAqOCgKJVQQaGGxQdj+GzbGbLzCwFwq1GF+KvZ+jqzhjVlVBt3VgTG8+WOSC6m59Dd15lJff1wtLXi3TXB7AhLooW7A5+MaIaPiU31lIpLBQdFqWSC49OYujpIv6rZztqCjNwCfWCwMBMcm9aLw+eu0OfLvZy7rE3UM//xFrT1dOTv4/HM2niavAIN7w5sxDOdPE1uwa1UbCo4KEolkZlbwBfbz/DzAe1+SAB1qttwMT1HX+fjEc1wc6jC2F+Ocio+DZ9a1Vj0dGt6N65NQmo2o38+yr7IZNp6OjLvkWZ4OtmW0btR7jUVHBSlEtgdnsS7a0JISNX2DqpZa8cWigKDnY0F3z/dmu/2nGVfZDJ17W34ZEQzhrdyQwC/HT7P3M3hSGDW0CY82a6e0RbcyoNFBQdFeYBdzshl5obTrD91fbuyolXLRV7v1ZDIpAye+OEINapa8u7ARjzVvh42lubEJGcyeWUQR6JT6NzAiTnD/XF3VHmdKwMVHBTlAaTRSP46HsdHm8L0O6HaWpmTmVeoDwxCwJDmdflqVyRWurUK47p4Ud3GkkKN5Md95/h0WwSWZmbMe8SfRwPcDbbgVh5sKjgoygMmKuka76wO5mh0ir6suo2FwXbZXs62XEjNZmNQIk+08+CVHj4421nrzs9g0oog/o1NpadfLWY/7E8de5v7/j6UsqWCg6I8IHILClm45xzf7I4ir1CbTKeKpTnZ+YUGgcHK3IxzlzMZ2qIub/b21edeKCjU8P3ec8zfEUlVa3O+fKwFQ1vUVb2FSkoFB0V5AByNTmHqqiDOXr6+eK0oMNyoY4OaTOrrS5O69vqy0xfSeXvlKUIS0unftA4zhzbV9ySUykkFB0WpwNKy85m7OZw/jsbqy6wtzMgt0BgFhpYeDkzu50d7r5r6srwCDd/sjuKb3VE4VLXk2ydbMcDf5b61Xym/VHBQlApISsmm4IvMWB/K5YzrWdYszAS5BRqDug1qVWNSX1/6NK5t8IgoKD6Vt1cEEX4xg2Et6vL+4CY42lrdt/eglG8qOChKBZOQms37a0LYGZ6kL7OyMCOvQEOB5np+FkdbK6b09+ORVm4GK5hz8gv5ckcki/aexdnOmh9HB9Crce37+h6U8k8FB0WpIAo1UrcfUgRZeYaPjPJu6C0UX6tQXOD5FCatCOLc5UweC3DnnYGNsK9iec/brlQ8KjgoSgUQkpDGO6uDCYpP05dZmgvyCw0zOb7QxYuXejSguo3hDT8rr4BPtkaw+GAMde2rsOTZtnRp6Hxf2q5UTCo4KEo5lpVXwPwdkfy4X5s/objigaGxS3UWP9uGWnbG6xEOnk1myspgYlOyeLp9PSb396Oatfqvr9xaif+FCCHMgeNAgpRykBDCE1gOOAIngKellHlCCGtgCdAauAI8JqWM0V1jKvAcUAhMlFJu1ZX3A+YD5sCPUsq5pfT+FKXC+ufMZaatDjbYRtuUHW90oUEt4+2yM3K0M5l+PxJLvZpVWT6+vcFMJUW5ldv5+PAqEAYUpXiaB3whpVwuhFiI9qb/ne7rVSllAyHE47p6jwkhGgOPA02AusAOIURD3bW+AXoD8cAxIcQ6KeXpu3xvilIhJV/LZdaG06w9eeGW9eYO9+fxth4mX9sTkcQ7q4JJTM9hXGdP3uzjSxUrlbJTKbkSBQchhBswEJgNvCG08+F6AE/oqvwKzEAbHIbqvgdYAXytqz8UWC6lzAWihRBRQFtdvSgp5Tndz1quq6uCg1KpSCn5OzCe2RvDSMvOv2k9ZztrDk7pYTLjWlpWPrM2nmZFYDzezrasfLEjrTxq3MtmV2gXUrMJik+jb5PaaiX4DUrac/gSeBso6rvWBFKllEVr8uMBV933rkAcgJSyQAiRpqvvChwuds3i58TdUN7OVCOEEOOB8QAeHqY/MSlKRXTusnY/pMPnUrC1MsfK3Ey/BUZxG17pTFNXexNXgG2hF5m2JoSUzDxe6u7NKz18jGYrKVrHYlIYufDQ9eNpvdSK8Bv8Z3AQQgwCkqSUgUKIbkXFJqrK/3jtZuWmEs5KE2VIKRcBiwACAgJM1lGUiiSvQMP3/5zlq91RmAtBLTtrkootaisyvKUrH49ohoWJ3kJKZh7T14Wy/tQF/OrY8cvYNjcNIJXd8qOxTFkVbFD28YhmKjCYUJKeQydgiBBiAGCDdszhS8BBCGGh6z24AUUPSOMBdyBeCGEB2AMpxcqLFD/nZuWK8sAKPJ/ClJXBRCZdw9PJlujkTJN7IW17vQsNTeRnllKyMTiR6WtDSc/J5/VeDXmxmzdWFqY+b1VehRrJjHWhLD183qB8xYQOBNR3LKNWlX//GRyklFOBqQC6nsNbUsonhRB/AyPQzlgaA6zVnbJOd3xI9/ouKaUUQqwDlgkhPkc7IO0DHEXbo/DRzX5KQDtoXTSWoSgPnPScfD7eEs5vh2NxqmZNLTtropMzjeo91d6DD4Y0NZmfOSkjh/fWhLA19BLN3Oz5fUQ7/OpUN6pXmaXn5DP256OciE3VlznbWbP2pU7UdahShi2rGO5msvNkYLkQ4kPgX+AnXflPwFLdgHMK2ps9UspQIcRfaAeaC4CXpJSFAEKIl4GtaKey/iylDL2LdilKuSSlZEvIRaavCyX5Wi6NXKoTlphusu7ON7vi7VzN5DVWnUhg5obTZOcXMqW/H+M6e5p83FRZRSdn0u/LvQZ7THXzdea7J1urGVu3QUhZMR/dBwQEyOPHj5d1MxSlRC6kZvP+2lB2hF3Cw7EqsSlZJuuN6+zJOwMamczPnJiWzTurgtkdcZnW9Wrw8YhmJgNIZbX3zGVG/3zUoOyl7t681cdXzUTSEUIESikDSlJXLZNUlHuoUCNZeiiGT7ZG6Fc03yww7HmrG/WdbI3KpZQsPxbHRxvDKNBIpg9uzOgO9U0+biopKSUHz16hvpMtrhX4EYuUkp/2R/PhxjCD8q9GtWRw87pl1KoHgwoOinKPhCWmM2VVMKfiUm9Z76Xu3rzZ29dkbyEuJYspq4I4EHWFDl41mfdIM33mtjsVcTGD6etCOHwuhSn9/ZjQ1fuurlcW8go0TF4ZxOp/EwzKbzXVV7k9KjgoSinLzitk/s5Ifth3zmg/pBvte7s77o7GN3uNRrLkUAzztkRgbiaY/XBTRrXxMBlASio9J58vt0fy66EYbCzMeH9QY8Z0rH/H1ysLKZl5PL7oEGcuXdOXeTnZ8ucLHdR01FKmgoOilKJ9kZeZtjrkpo+OirzRuyGv9Ghg8ln4ucvXmLwyiGMxV+nS0Jk5w/3v6tGPRiNZ9W8CczeHkXwtj16NajNzaJMKNWMnLDGd/vP3GZQNbl6XT0c2w9pCDTLfCyo4KEopuHItl9kbw1h1w2MOUw5M6WHyZl+okfy47xyfbz+DtYUZn45sziOtXO9qMDUkIY3314ZwIjaV2tWtWfhU6wq1VcSWkEQm/HbCoGxyPz8mdPWqMO+holLBQVHugpSSlScSeOvvU/9Zd2p/P8Z3MX1TO3Mpg0krgjgVl0rvxrWZPawptaobb79dUlcz8/h0WwTLdLmlx3Sox1t9fbGzKf+JfTQayfydkczfGWlQ/vPYAHr4qYx194sKDopyh2KSM5m4/F+DBDw3c3hqT+rYG9/s8ws1LNxzlgW7IrGzseSrUS0Z1Mzljj8VF2okfxyN5dNtEaRm5dPIpTpzhvvTwt3hjq53P+XkF/Lysn/ZEXZJX2ZuJtj62kMmtyRX7i0VHBTlNuUXavhqVxQLbvhka8qMwdpBX1M3+5CENN5eEcTpxHQGNXPhgyFNqFntzgdVA89f5f21IYReSMfG0oyp/f14trOnyd1by5OLaTk88t1BElKv561o5mbPkmfb4lDVqgxbVrlVuuBw5lIGZy5llHUzlArqeMxVFh+MKVHd6YMb42RnzcbgRIPyvAJtcCnaMmNw87r0bVKbQ+eu3PRadjaWPNTAyeRspaSMHOZtjmDliXhAuxp41tCmJmdBlScnYq8y/NuDBmWj2rozc2jTch/QKoNKt0K6x2d7OHfZeB8bRSnv9k/ujluN6zf8/EINSw6d58vtZ8jILcCpmjUzhjRmoP+dP5a61242RjNzaBOebl+v3Lb7QaFWSN/CE209+HBjGO8ObERXlWBdKYGZG06zLzJZf9zW05Gj0Skm6/7xfHucqhk/CsnJ1/D59gh2R1wGYNqARnTzvfm/v7irWczZFE5k0jW8nGyZPqSJQWA4eDaZGetC9fP9n2jnweR+fthXKZ8DzgWFGuZsDuen/dEG5cueb0dHb6cyapVyK5UuOIzuUJ9lR2JZdiSW0R3qq+2NlZvaFX6JZxdf750Ob+WKQxUrFh+MNqr76cjmjGjtZvI6R6NTmLwyiOjkTJ5o58HU/n43nTWUk1/Iwn/O8t2es5ibCSb38+O5zp76f6cXUrOZvSmMjUHaR1UNa1djznB/Wtcrn1tPZ+TkM35JoMEjM/sqlqx/ufNdr/RW7q1KFxysLMx4b1Bjnll8jCWHYhj3kFdZN0kpZ6KTM+n+6R79cU1bK754rAUz1ocaPZKsa2/DhokP4Whr3FvIzC3g4y3h/HroPG41qvD7uHZ0amD6U7KUkh1hSczcEEpcSjaDmrkwbWAjXOy16yFyCwr5cV80X++KIju/EGsLMyb29OH5h7zK5QecmORMBn+9n4ycAn1ZR++afP906woxnVaphMEBoLtfLbr5OjN/RyTDWrridBczRJQHR1JGDi8v+9fgkdGKCR3YGnqRMb8c5cbhuQWjWjLkJpu77Y9MZsqqIBJSsxnbsT6T+vpia236v1t0ciYfrA9lT8RlfGpVM3rUsjsiiQ/WhRJzRbvqunMDJz4c1tTkJn1l7UBUMk/+eMSgbFxnT6b091PbilcwlTI4ALw3qDF9v9jLZ9simDO8WVk3RylD6Tn5fL0rikV7z+nLpvb3o3W9Gry9IohzNyTi8XK2ZdWLHXGoakVMciYaKfHSbZ2dnpPPnE1h/HE0Di8nW/56oQNtbpJtLCuvgG92R/HD3misdT3a0R3q6WfqxF7JYuaG0/p5/462Vrw3qBHDWtzdqunSJqXk14MxzFh/2qC8NFZ4K2Wn0gYHb+dqjO1Yn58ORPNku3pqJ8dKKCe/kN8OnzfY7jmgXg0WjGrJT/ujGfn9IaPewsKnWtGvqQsajeSR7w4SeP4qADFzB7Ir/BLvrAohKSOHF7p68XqvhthYGu/7I6VkU/BFPtx4msS0HIa3cmVKfz9q2WkXyWXnFfLdP2dZ+M9Z8nQJax4NcGNq/0bUMPH4qqzkFhQyfW0oy4/FGZSv+l9HWnnUKKNWKaWl0gYHgFd6+rD63wQ+WB/KXy90UJ9wKolCjWTliXimrw01yNn8+7h2WFmY8eQo0wpKAAAgAElEQVSPR4zSdjapW50/xrenuo0lR6NTePT7Q/rX5j/egjf+PMmqfxNoWLsaC5/udNMVyZGXMpixPpQDUVdo7FKdr0a11OcxllKyNfQiszaE6ReEeTnb8tHD/rT3qlnav4Y7lpKZx5ifjxKccH1luKtDFf6e0KFCbean3FqlDg72VSx5q68vU1cFsyEoUSUHecBJKdl2+hKfbI0gKun6ls8vdfdmXGcvvtoVxS8Ho416C0V7+hRqJP2+3Ev4Re0iSp9a1XitV0OmrwslNSuPiT0a8FKPBiZ3Cc3IyWfBzkh+ORBDVStzZg1twhPt6ukT9kQlXeOD9aH6KbNW5mb8r7s3L3bzLje7joZf1O6MWvz307txbeY/3oKqVpX6VvJAqvR/o48GuPPb4fPM2RRGr0a1VY7ZB9Thc1eYtyWcf4slm2/h7sDcR/xJzy7g4W8P6Ad8i7SuV4PFz7TBzsaSfZGXefqn6ykov3miFZuCE3lp2Qma1K3Or8+2oUld40eTUkrWnrzAR5vCuHwtl8cC3JnU11e/Tca13AK+2hnJT/ujKdDlfmjn6cjsh/1pUKt8pADdFnqR8UsDDcpe7enDxJ4+d5WNTinf/jM4CCFsgL2Ata7+CinldCGEJ7AccAROAE9LKfOEENbAEqA1cAV4TEoZo7vWVOA5oBCYKKXcqivvB8wHzIEfpZRzS/Vd3oK5mWD64CY8+v0hvt97ltd6NbxfP1q5D05fSOfjreHs0S0+A7CxNGPagEY83MqNz7ZFsPhgjFFvYcmzbenS0JmCQg1dPt6tz8/Q3N2BZzrW5901wWTmFjKpry/ju3iZ3O7h9IV0ZqwL5WhMCs3d7Fk0OkD/uElKybpTF5i9MYykjFwAHKpa8s6ARoxs7VbmjzgLNZKF/5zlk60RBuXfPtmKAf4uZdQq5X4qSc8hF+ghpbwmhLAE9gshNgNvAF9IKZcLIRaivel/p/t6VUrZQAjxODAPeEwI0Rh4HGgC1AV2CCGK7sTfAL2BeOCYEGKdlNJw6sM91NbTkUHNXFj4z1lGBrhX6Jy6ilbslSw+3x7B2lMXDG78fZvU5oMhTTl/JZOBC/Zx/obeQucGTnz/dGtsrS3YcfoS45ZcXwS38KlWrAhM4LU/T9LC3YFPRjTDp7bxbqFp2fl8vi2CpYfPY1/FkrnD/Xk0wF2/L1JYYjrT12qDRpHhLV2ZNrDRXW28Vxqy8gqYtCJIv8iuyL1Kv1mokUQnZ+LtbFvmAVEx9J/BQWo3Xyp6QGup+yOBHsATuvJfgRlog8NQ3fcAK4CvhfZvfSiwXEqZC0QLIaKAtrp6UVLKcwBCiOW6uvctOABMHdCIHWGXmLMpjK+faHU/f7RSii5n5PL1rkiWHY0lv/B6VKhd3ZoPhjSlS0MnPt4SYXLzvD+eb08H75rkFhTSetZ2rmTmAdrFW8NauDJpRRB5BRqmDWjEs509jR6paDSSFYHxzNsSztWsPJ5qX483ejfU7yyalpXPFzvOsORQDEXZQ+vVrMrsYf509inbLSQS07J54gfDgXjf2nYsHddWP4uqNJ2MS+XxRYfIydfOxtr+eheTgVYpOyUacxBCmAOBQAO0n/LPAqlSyqLlj/GAq+57VyAOQEpZIIRIA2rqyg8Xu2zxc+JuKG93k3aMB8YDeHh4lKTpJebqUIUJXb35ckckozuk0NazfG5HoJiWkZPPD3vP8eP+aHILNDhXs+bytVw0UvJ0+3pM6utL6IV0+n25zyiFZ69GtfhqVCuqWJmzMUg7jlBk0dOtWXr4PG+vDKJtfUfmjWiGp4nFZ0Hxqby/NpSTcakE1KvBkqFt9WMQGo3k78A45m2JIEUXcCzMBBO6evNyjwYmp7veL//GXuXhG3ZGHd7KlY8e9i/1dmXnFfLumhD97rFFhjSvW27GV5TrShQcpJSFQAshhAOwGmhkqpruq6m+obxFuallkya3ipVSLgIWgXZX1v9o9m17oYs3fx2L44P1oax7ubMabKsAitYqfLM7iqtZ+bSt70hGbgFhien41rZjziP++Na2029jcaO/J2gXqeXkF+L33mb9J9lejWrT1deZ1/88iUS7a+hT7eoZbZmdkpnHJ1sjWH4slpq21nz+aHMebnl94depuFTeXxfKqbjrA+Gt69VgznB/GpbRJ2UpJWtOJvD6n4Y7o04b0IjnOnua3Bb8bty4R1WRX59tqza/LMdua7aSlDJVCLEHaA84CCEsdL0HN+CCrlo84A7ECyEsAHsgpVh5keLn3Kz8vqpiZc7UAY145Y9/+et4HKPalm7vRCk9hRrJqhPxfLkjkoTUbDo1qIl7japsDE4kt0CjHyg+HnOVfvP3EpeSbXD+QH8XPnu0OTaW5qwMjOfNYltI/zA6gJ/2n+O9NSF0buDEnOH+RrkRimdcy8gp4NlOnrzay4fqun2DrlzL5ZOtEfx5PE4/5mFnY8GU/n6MauNR6jfgksgr0PDFjjN8t+esQfkvY9vQ3a9Wqf6sK9dyee3Pkwa72YI2X8P0wU3KtLeklExJZis5A/m6wFAF6IV2kHk3MALtjKUxwFrdKet0x4d0r++SUkohxDpgmRDic7QD0j7AUbQ9Ch/d7KcEtIPWRWMZ992gZi4sORTDp1sjGODvUm63QK6spJRs161ViEy6RnM3e55/yJP1QYksPxZHR++azH7Yn1p21szacJolJnoLq//XkZYeNcjMLaD+lI368iHN69Lc3YFX/jiBpZkZ8x7RDiTfOFAaeP4q09eFEJKQTgevmnwwtIm+F1BQqOHbPWf5fPsZg3MGNXPh/cGN78nz+/+Slp3PxD/+5Z8zhjO21r3cuVR7LxqN5M/jcUxdFWxQbmdjwbJx7fF3U7sQVCQl6Tm4AL/qxh3MgL+klBuEEKeB5UKID4F/gZ909X8CluoGnFPQ3uyRUoYKIf5CO9BcALyke1yFEOJlYCvaqaw/SylDS+0d3iYhtFNbB3+9n692RvLuoMZl1RTlBkd0axVOxKbi5WTLl4+14Ozla8zeFEY1aws+G9mc4a1cOXTuCk//dIT4q4a9heGtXJkz3B9rC3N+O3yed9eE6F/7cXQA3+6JYt2pC3T3deaj4f76HVGLXM7IZd6WcFYExlOnuo1Rvuc9EUmM/eWYwTmuDlX48OGmdPct3U/mJRGTnMmIhQdJvpanL2tdrwY/jA4wuYvsnYpOzmT8kuNEFltYCNq1EK/0aKA23KugKl0muJKauiqIv4/Hs/X1Lng7q8GyshSWmM7HW8LZHXGZ2tWtea1XQzwcq/LemhDOJWfqp4HaWJozZ3MYvx2ONbrG+pc74+9mT1p2Ps0/2KYvf7yNOx41q/LljkiqWJozY0hjo43tCnQZ177YfoacgkLGPeTFy90bYGttQW5BIdNWh7AiMN7oZ77QxYtXe/nc99XDB6OSeeKGnVFHd6jHOwMaldrjnNyCQr7bc5Yvdxjm0W5Qqxo/jg4olzvGKioTXKl4s48vG04lMmvDaRY/0/a/T1BKXfG1CnbW2uf1w1q48vn2CKauCsbDsSpLn2vLQz7OHIxK5u2VQUa9hVFtPfhgSBOsLMz4cd85g032fhoTwJc7Ill+LI5+Teowc1gTo8c+h89dYfraUCIuZfCQjxMzhjTB27kahRrJc4uPsTM8yajdzd0dmPOwP43rVr83vxgTNBrJ70djea9Ybwhg1rCmPNm29MY4TsReZezPR0kvlqcBYPbDTXm8jYeaxPEAUcHhJpyqWfNqLx8+3BjG7vCkUh+wU26u+FoFc92UzwldvNlzJolBX+3jalY+L3bzZmIPHwqlZNrqYH4/Ytxb2DixM03q2pOSmUerd7fry8d2rI9DVUsm/BZIdRtLk6t+L6XnMHtjGOtOXcDVoQrfP92aPo1rA/D+2hCTYxlVrcyZ3M+Pp9rXu283yey8Qj7aFMbSw4btWTauHR1vkljodqVl5TNvazjLbvgdd2pQky8ebUGt6vd/HEW591RwuIXRHeqz7GgsszacplMDp3KZcetBcuNahcfauPNqTx/yCjRMXK4dUG3u7sCSZ7Wfyg9EJfP2iiD9DqZFxnasz7SBjbA0N2PBzkiDweEfRwfw6bYIwi9mMKxFXd4f3MTg+XtegYZfDkSzYGck+RrJxJ4+vNjVGxtLM77aFWU00FykX5M6zBjShDr29+dGeTkjlwm/Beq3DAftB5q/J3QwuQ7jdmk0kh1hl4z2VAL47slW9GtaR61ofsCp4HAL+pSiv6iUovdSbkEhSw9dX6swsJkLb/bWjiv8fCCaL7ZHYiZgxuDGPN2hPll5BbyzOtjokyzA1te64FvHjqSMHNrO3qkvf6GrF2ZC8MJvgdS0teKH0QH01vUEiuyLvMz0ddpUoL0a1eL9QU3wqFmV34+cZ9rqkBt/FAAu9jbMHNrU6Fr3SvjFdIZ9c0C/HgOga0Nn5j/eQr8S+24kpGbz/poQo8dlw1u58t7AxuUqn4Ryb6ng8B+6+9aiu0opek8UaiSr/03gi+1nSEjN5iEfJyb19aWZmwNB8akM/eYAoRfS6dWoNjOHNqGuQxX2RV5myspgo97ChK7evNWnIRbmZszbEm4wl/+H0QHM3RzG2cuZPBrgxrSBjQ2mKCekZvPhhtNsDrlIvZpV9Vt0bwxKpMsnu0223UzA2I6evNGnIdVukv6ztBTll35+ieEEjAldvXm9t89db+mdW1DIysAE3lltOAXVysKMxWPb0MG7puolVEIqOJTAu7qUop9ujWDuIyql6N0qutl9sjWcM5eu0czNno9HNKNTAycycwuYteE0vxyIxqmatf4RxrXcAqauCuKPo3FG19vxRhca1LLjQmo2Hefu0pe/2tOHa7kFjF96nLr2VfQ7rRbJyS/kx33n+Hp3FACT+vryXGdPjsdcNVj/cKMmdaszd3izez5vP79Qw0/7o5m7Odyg/LOR2lXYdzvIHHohjckrgwhJSDcof6GrFy91b6Bf0KdUTio4lEDxlKJPtVcpRe/G0egU5m0JJ/D8VbycbPn2yVb01z2/3hV+iffWhJKQms2T7Tx4u58f9lUs2XvmMlNWBnEhLcfgWhN7NODVXg0xNxPMWBdqsJnewqdaM2dzGOevZPF0+3pM7u9n8Al/V/glPlh/mvNXshjgX4dpAxuTnJGL33tbTLbb0lxgaW7GG70bMrZj/Xs6dz89J5/pa0NZ/W+CQfmKCR30WePuVFpWPosPxvDFDsOxEw/Hqnw1qiXNb5LBTql8VHAooYm9VErRuxGWmM4nWyPYFZ5E7erWzBnuz8jWbliYmxmk3fSpVU1/E0zPyWfKyiCjHMUAu97sipdzNWKvZBk8+pnU15fEtGwm/BaIh2NV/U6rRc5fyWTm+tPsDE/C29mWpc+1xcW+Cp2K9TiKmJsJHG2tuJyRSxcfZz4Y2gS3GlWN6pWW+KtZPLv4GGcuXV9M5ulky5Jn2xpt33E7NBrJgbPJvP7nKZKv5Rq8NrW/dnaV7T1+NKZUPOpfRAlVt7FkUl9fpqiUorclLiWLz7efYc3JBOysLZjcz4+xHetTxcoczQ1rBR7yceKnMW2wsjDjH11vIfGG3sKkvr682NUbMzPBpL9P8XexxWffPtmK2RvDuJCWzXOdPXmzT0P9ArTsvEK+2xPFwr3nsDQTvDPAj75N6tD1kz0m2+3vak/ohTQE9352zonYqwy/YWfUgf4ufDTc/662b0lIzea7PVFGiwLb1K/BrGFN8atz/9ZhKBWPWiF9Gwo1kiFf7+dqZh473+ymUoreQvK1XL7eFcXvR85jJgTPdPLkxa7e2FfV3uzOXMqgzxd79fWLBoHTc/KZvSGMP48b9haEgD1vdaNeTVuikq7R6/N/9K9NG9CIyKQM/joej7ezLR+PaE7rejUA7fjG1tBLzNpwmoTUbIa2qMuErt70n7/PZLsf8nEi/GIGyddyeapdPSb1870nz941Gm0muNf+PGlQ/kbvhkzo6n3H06Zz8gvZGnqRV5efNHpt7nB/hrV0VZveVWJqhfQ9Ujyl6MJ/zvJ6b5VS9EYZOfn8sC+aH/edI7dAw6MB2rUKRfP/cwsK+WhjmMH22aem98G+iiW7I5J4Z1WwUW/hnQF+jOvshRDw0u8n2BiszVJmYSb4/LEWfLjhNFcy8/hfN28m9vTR3/zOXr7GjHWh7ItMxq+OHT+PDeDV5SdZe9J409/uvs5cyy3Q1/3+6da08qhR6r+fnPxCvtkdxVe7ogzKv36iJQP9Xe64dxJ6IY0FOyPZGnrJoHyAfx3e7OOrtoBRbpsKDrepracjg5vXZeE/Z3m0jUopWiS3oJDfDsfyze4oUjLzGOjvwpt9GuJV7KZ05NwVHlt0Pd/TyNZuzH2kGddyC4weEYF2xfHW17rg7liVsMR0g0/7MwY35t+4VCb+8S9+dez4aUwb/eyhzNwCvtoVxU/7z2FjYc6U/n6sDIw3mVOgmZs9DWpVY1voJQo0Gqb09+O5zp4mc0LfjZTMPCavDGL76es3bzMBq//X6Y4HgdOy8ll5Ip6ZG4yTJi4Y1ZK+TWrf9TRXpfJSweEOTOnvx/bTF1VKUYzXKnRu4MTb/bRrFYqkZeUzd0uYwTTU+Y+3YGgLV3aHJzF1VTAX0w17CzMGN2ZMx/oAjPn5qH676eo2FswY0oTZG8NIy87ntV4+/K9bA6wszJBSsj4okY82hnExPYdhLeoSnZxpNBUUoKatFYOb1yXw/FVWnUigS0NnPhzaFI+apTvgfPbyNUb/dNRgXYa/qz3fP92aunfwwUKjkRw8e4XPtkfwb2yqwWtPtvPghS7epf4elMpJBYc7UDyl6NPtr9DOq+Z/n/SAuXGtgr+rPfMeaWaQC1lKyYagRKatDtZv1FbdxoLfxrWjXk1b3vr7lNFupjVtrVj/SmfqOlThVJx2IVyRD4c1ZX9kMm/8dQp/V3t+G9eORi7aQdWIixlMXxfC4XMpNHKpjkNVS9aYeHxkJmBka3eEgKWHz1OjqiULRrVkcLM7f6Rj6ndzIOoKT/1kuDPqowFuvDuo8R2NYcRfzeKPo7F8s9swUU/t6tbMGtqUHn611NbYSqlSweEOXU8pepr1r1SulKLHYlKYtzmc4+ev4ulkyzdPaNcqFF+UFX81i/fWhLA74nqCmZYeDnz/VGtCLqTx/JLjXEo3nFb50cP+jGrrjpQwcuFBjsVo9w1ysbfh9V4N+WhzGFl5hUzu58fzD3liYW5Gek4+X26P5NdDMVSztsCpmhVhiYaLuoq09XSku28tfjt8noTUbEa1dWdKv0b6QfK7VVCoYdnRWN5fa5iOZNqARozpWP+2B5lz8gvZdvoS8zaHG60I/183b55qX++Oeh+KUhIqONyhyphSNPxiOp9siWBneBK17Kz56GF/Rga4GTyfLyjUsPhgDJ9tO0N2fqG+fERrN97u58u8zRFGCeZdHaqw8sWO1LG34VhMCiMXHtK/Nne4P9tOX+LtlUG08nDg4xHNaVCrGhqNZGVgPHM2h3MlMxcptRnPTKld3ZrnH/LiROxV5m0Jp0Gtavrc0aXhWm4B09eGGr2v5m72LHm23W0Hn9ALaSw9dN5ofUdT1+q81ceXh3ycK9WHEaVsqOBwFwY1c2HpofMPfErRuJQsvth+htUm1ioUF5KQxtRVwQQnpOnLzARMG9iY+jWrMmjBfpIyDHsLn4xoxojWbmgk9J+/T/+p39vZlmc6eTJ7Yxj5Gg3vD9KOQZibCUIS0pi+LtRgR9IbFY1BPNPJk5q2VszfGUlugYY3ezfkhbuYKlpcYlo2w745YNQDeizAnRlDmtzWVOe0rHzWnExg1obTFGgMp5dP6uvLyAC3MkkxqlReKjjcBSEE7w9u/MCmFL1xrcILXbwN1ioUycor4IvtZ/j5QAyW5tc/0Va3seCj4f7sCktilokZNVP7+zEywJ39kckGz+c/HtGMtScTeHdNCO29HJn3SDPq1bQlNSuPT7dFsOxILJqbLM9xq1GF+KvZtPN0ZFRbD37cd44Tsal09K7Jh8OaGsyeulMhCWkM+mq/Ufnkfn6Me6jkM52KBpcXH4xmR5jhLqhdGjozoYsX7b1qllqiHkW5Hf8ZHIQQ7sASoA6gARZJKecLIRyBP4H6QAzwqJTyqtCO6s0HBgBZwFgp5QndtcYA7+ou/aGU8lddeWtgMVAF2AS8KivI6rymrvY83sadxQdjeLytBw1qVfz55Bk5+fyoW6uQU6Dh0QA3Xu3Z0GSugt0RSby7OoSE1GwC6tUgOjmTnPw8GtSqxuNt3Plg/Wku39BbAAie0QcbS3O6frKb81eyAO200odbujJjXSgC7QD0E7rHdX8cjeXjLeFczTL96KhLQ2f2nrmMlNqZUOEXM5j4x7/Y2VzPLX03A85SStaeNF60BtqfN7hZ3RLfxOOvZrEiMN4oxSbAuwMbMbyVW6nmeFaUO/GfK6SFEC6Ai5TyhBDCDggEhgFjgRQp5VwhxBSghpRyshBiAPAK2uDQDpgvpWynCybHgQBA6q7TWhdQjgKvAofRBocFUsrNt2pXWayQvpnka7l0/3QPrevVqNApRXMLCvn9cCxf69Yq3GoB1eWMXGZtOM26UxfwdralUwMn/j4eT3Z+Ia3r1aBGVSt2hF0yOm9CV2+m9PdjZ9glnvv1+t/fZyOb8+exOI7GpNCloTNzhvvj6lCFk3GpTF8bwqn4NKNrATzbyZPlx2Ip0Ehe7OpNk7rV+XBjGLEpWYxo7cY7Axrd1Y02t6CQ2RvDTGZ+WzauXYm3sy4aXP5pfzSn4gynoA5uXpcxHerRul4NtWeXck+V6gppKWUikKj7PkMIEQa4AkOBbrpqvwJ7gMm68iW6T/6HhRAOugDTDdgupUzRNXI70E8IsQeoLqU8pCtfgjb43DI4lCdO1ax5tWfFTSlaqJGs+TeBz3VrFTp612RyPz+Ti7OklPx1PI6PNoWTnVfIKz0akJqVr795+tSqRkxyJoGZxuMBge/2opqNBQEf7tBvANfO05EefrV4Z3Uw1hZm+jGIlMw8Jq8IMtpGo8jsh5vy075ofj4QTe/GtflfN28WH4xh/s5IPJ1sWfZ8Ozp633mazKuZeQz79oC+V1OkRlVLfh/XvsT5oUMS0vjreJxRcLGvYslbfRoypIXrAztWpVRstzXmIISoD7QEjgC1dYEDKWWiEKLojugKFP8fHa8ru1V5vInyCqUiphSVUrIrPImPt0QQcSmDpq7VmfuIPw/5OJusf/byNd5ZFcyR6BTa1nfk9d4N+WL7GY7GpADawefIpGtG5z3RzoOPHvZnY1AiLy07oS//4rHmLD54njmbw+nVqDazH25KTVsrlh4+bzQdtMjPYwNYfjSOaatD8HSy5ZexbUjKyGHsL8fIyitgYk8f/tfN+473D4q4mEHfL/calbf1dOTTEc1LtMCsaHB50d5zRlNQHwtw58n2Hvi72qteglKulTg4CCGqASuB16SU6bf4h23qBXkH5abaMB4YD+DhUb6mjhZPKfrrwRie71K+U4reuFbh6ydaMqCpi8nn5nkFGhb+c5avd0VhY2nG3OH+eNeqxku/nzCYfWRqkPjAlB7UtLWi0Xtb9FNbu/k609qjBpNXBGNrbc78x1swRLdaeejXB4xWSwMsH9+eQ2ev8OJvJzATgrf7+dLdtxbT14VyVBesPhrelAa17O7o97Eh6AIvL/vX9O9qWi+c7W6dAbBocHn5sVg2BCUavObpZMsLXbwY3Lyu2hpbqTBK9C9VCGGJNjD8LqVcpSu+JIRw0fUaXICi6RbxgHux092AC7rybjeU79GVu5mob0RKuQhYBNoxh5K0/X4qSim6YKc2peh/3VDKwo1rFWY/3JRHA9xvOsMmJCGN1/88SWTSNQY1c+H9wY3ZFJTIqEWHjaZcFjfQ34Wvn2jJqhMJvPn3KX35F48154e90Xy2/QwDm7nwwZAmaDSS55ccN5qxA7D0ubZk5RXy1t+niL+azeDmdXmrT0NWnkhgyNf7qWplwbxH/BnZ2v22Z/UUaiQz14cabAJY3MKnWtOvaZ1bXiP+ahZ/H49n4T9nyS3QGLw2pkM9Hm/roV/FrSgVSUlmKwngJyBMSvl5sZfWAWOAubqva4uVvyyEWI52QDpNF0C2Ah8JIYq2uuwDTJVSpgghMoQQ7dE+rhoNfFUK761MvDeoMX2+2Mtn28pXStHiaxWqWVvwdj9fnunoedO5+FJKlh4+z4cbwnC0teLnsQG096rJO6uCTW5LUdyON7pSx94Gz6mb9GUD/Ovg7VyNSX8H4VDVioVPtaJno9p8t+csn28/Y3SNr0a1pHHd6nyw/jR7z1ymYe1q/PF8eySSZ345xrnkTIa1qMu7gxrfdl7vtOx8hn1zgOjkTJOv75/c/ZZJfYoGl5cfjeXg2SsGrzV3d2BMh3oM8HdRW2MrFVpJeg6dgKeBYCFE0Ty+d9AGhb+EEM8BscBI3Wub0M5UikI7lfUZAF0QmAUc09WbWTQ4DbzI9amsm6lAg9E38nKuxjOd6vPj/vKRUvTGtQrju3jxYldvHKrefAZPUQa2TcEX6e7rzGePtiA9O5/h3x4k/GLGTc/r6F2T355rxx/HYpm2OkRf/sVjzfluz1k2BV9keCtX3h+k3VHVZ5rxX/PMoU0Y3sqNr3dF8cZfJ7GxMOf9QY0Z3Lwu87aEsyIwHg/Hqkb5oEsi/GI6/b40ncfB1aEKu97qestdTG82uAzw/EOePNbmwZjKrCigkv3cE+k5+XT/ZA+eTrb8PaFsUopeyy3gh73nDNYqTOzpg4v9rffiCYpP5aVlJ7iQmsPbfX15/iEvdoUn8fpfJ8nQbZ5nytqXOlHfyZbmH2zTlw1v5YpTNWt+3HeOWnY2zBnuT4Na1Xjo491G50/s6cNrPX3YEJzI7I2nuZSeq99yY9+ZZGZvCiM9O5/nu3gxsYfPbe3UAp8AACAASURBVK0+XnsywWTyG4CxHeszfXDjm/4dpWblsfbkBZYdiSXikmFg7OBVkyfbe9C7sdoaW6kYVLKfMlY8pej6oESG3MeUorkFhSw7EsvXu6K4kplH/6batQr/9YlWSskvB2KYszkM52rW/PVCB1q4O/DFjjNGiWmKa+RSnXUvd+LXgzEGO6h+8VhzFuyMIjo5k1Ft3Xm9d0M6zd1FfqHhh5FRbT2YNbQJUZevMeqHwxyJTqGpa3W+fbI1jrZWvP7nSQ5EXaGVhwMfDfcvcWrLgkIN09eF8vuRWJOvLxjV8qZ/L0U5l/86Hs/6U4aP0KwszBjX2ZPH2rhTr6ZtidqiKBWRCg73yMgAd5YePs+cTWH0blT7nqcULdRI1p7UrlWIv3rrtQo3SsvKZ9KKU2w7fYlejWrx6cjmSAnPLD7G3jOXb3resnHt8HOpbvB4aFRbD6wtzHjjr1O4OlRh6XNt+XFfNG1n7zQ4t6dfLb59qhU5+Ro+3BjG0sPnsbOxYPbDTXmklRs/7D3HV7ujsDY3Y9awpjzZ1qNEA85XruUycMF+kzOeQNvDudnvJC5Fu3L5j6OxRntAdfd15vG2HvTwq1XqiYAUpTxSweEeMTcTzBjShJEL721K0aK1Cp9sjSD8onatwpzh/vy/vfOOr6LKHvj3kt4rCUleKiWBkIQUSkCqSHdBFAQLKnaRdVFXZe1dFhsqvxXbUgRUbLgqICBK770EEkMCoaQQCIRAQpL5/TGTx3t5JYWUB7nfz2c+mXfnztyT88qZueeec65r56+fKimvqGTFgVwGxASaxF/sOHKaRxfsIPfsRZ4b3pF7r4tk3/GzjJ21gZKyCnNDEuTlzKon+/HZmkxu++xyTqR3xiTw3grVON2VGo6zox13fr7Z6NzYYE8WPZSKs70d327PYdqSNApLyri9exhP3BBNRn4xIz5cS0ZeMcPjgnjxxk4EeNaccG7HkdPc9H/rzR7zcXXgf5OvM+tkrqq5vGhrDmszCoyO+bs7ckePcMamhMrU2JIWhzQOjUjXiMYtKbo1q5BpS9PYknWaCD9Xs7EKOadLuG6aOsf/1QM96KEVJlIUhc/XHuatJWkEejqz6KFUEsN8+GbrUZ76drfFMT++I4mkcB9inl+qb7u7Z4Sa8XTRLiL93bi7ZwSz12cZnefmaMeGf12Pp7MDu3PO8MLifew8eoakMG/mTOxGqI+rvlpciLcLX9ydwoCYQKv/f2WlwvxN2TxvIWBuYMdApt8Sj4+Z9BlVzuVvth7l4iXjJaiDOgUyvnsYfWRqbEkLRhqHRqaqpOgbvx5gZgOVFD148hzTl6Wx4kAerT2ceG1UZ27tahqrsGTPCR6er0Ykdwh0p3ukWr/gTEkZTy7axYoDeQzqFMj0WxJwdmzFg/O2mhSor8LZoRWbnx3Ix3/8xUNfXo5ynn5LPO8uP8SJInUa53DBeZMlotueG4ifuxOF58uY+v1uvtpyFD83J94Zk8BNiSH8vOcEd/93C6dLyri/dyRTbuiAq6P5j2ZlpcIrP+9n7oYsi5lZH+wbxWPXtze5RpVz+estR9lfrSBQqK8L47qGMSZZV6snFYnkWkcah0bGsKTohCssKZpzuoR3lx/ihx1qrMI/B0dzT68Isz+kj3+zk++3HwPUegCT+rcDYFt2IZMX7KCguExfp/lE0UUSXvnd4rjTtJQa8S9dXon0YJ8o8otL+aeVp4z1zwwg2NuFikqFeRuyePu3QxSXljOxVySPDWxPUckl7pm9hT8P5ROv82L2PV0tLv0tKrnEgHf+4NT5MovjvTqqM7emhBpNnVU5l7/ectQkchnUmhzju4WRKlNjSyRGtLilrCeLLuLr5tikuY8ulFUw8N0/8XJxqFdJ0VPFpXy0KoP5G48ghDqN83A/87EK5RWVtDNwEP/wSE8Sw3yorFT4ZE0m05cdJMTbhZm3JRGn87K6zBPU1BEzV2UYTRNNuzmON5ekccZC+uznhnfkvt5q+pCtWYW8sHgf+0+cJTXKj5dHxhLp78bnaw/z/opD2AnBk4OjmZAagaIoZOQXEx3oofeX7D9+lmEfmI9NqOLjO5KJaePB7PVZlJZX8OboeL1z+dttOSb5jdq2dmN8t7A6p8Y+XHCelQdyWb4/l9yzF1n6jz4y0E1yVSGXslqhx5vqqpk5E7vRu51/k9wtqiVFY3h0Qd1KihaXlvPZmkw+XZ3JhUsVjE0J5bGBlmMVDP0LALtfGoSnswOnikt5YtEu/jiYz/C4IN68OQ4PJ3uGzVhjMr1SxdShMQzp3Iaur6/Qt00e0I7M/PM8/d0eizJX+Qryzl7krSVpfL/jGEFeznx0WyLD44LYefQMN364lrST5xjUKZCXR8ZSXqHQ59+r9D/iy6f0YfuR01bHCfR0Ysa4RBzsBJ+uPsyy/SdRFGjj6cwdn20ycS4LATclhjC+Wxh+bo4s25fLvXO20DHIkzduijM7RnlFJduPnFENwoFcMvPV6TIfVwfu7hmJ01WQXFEiqS8t7skh4plf9PtR/m5MSA3n5mQdHs6NmzZZURRunbWRjPxiVj3Zz2qa5uqxCkNi2/DkYOuxCr/uOcEjmn8hpo0HSx7rjRCCzYcLeWT+dgqKS/n79e2ZMrA9WadK6P/2Hxavteap/nywMp1F2y4ny339ps5GUc/mWPt0fwI9nZmzPov3V6RTVl7J/X0imdS/HeWVCm8vO8i8jdkEejjz8shYLl6qsPrUYo6ebf14ZmgMRwsv8NnaTHYcOWO1f2sPJ8J8XTlZdJFjZy7QIdCdQ7lq5tiYNh5MHtCe4fFB+v7nLl5i9aECVh7I5YedxzD8enQJ9ebOHuEMj5epMSRXJ3V5cmjRxqEKdyd7bk4KYULPCLOFbRqKvceKuPGjtUzsFcnzZkqKVlQq/LTrGO/8pi4HTY3y4+mhMXSpIVZhytc7+WGH6l94akg0j/RrZzb19KujOpN39qLFoLYH+0ZxS5KOG967fN7jN3Tgg5XpVpPsARx8bQhbs05zu7a0tVOQJzNvTyLCz5Wle0/y0v/2kXeulHFdQzlZdJFVBy3HT5jjlmQd9/SKYFNmIV+sO0zO6Qs1n2SGdgHujIgPYkR8sN7YHi0sYeWBXFam5bEmvcDseTofF9Y+PaBeY0oktoI0DlYwZxw8ne25eKmSsopKerf35+6eEfSPDmiUKaep3+9h0dajLP1HH/2Pk6IorDqo1lVIO3mO2GBPnh4SQ+/2/lZTb1yqqDQKQPtxUi+6hHrz9ZYjJlMyUf5uZFpINAfw25Q+zFiZzi+a09aulWBc11CLEcZV9G7vz+uj4ugz3TglxvIpfXB1sufFxXtZcSAPu1aCihoMjDke7BvFsM5B/LrnBPM3HaG41HIKD2vcmhLKPddFEB3ogaLAzhx1umjlgTyr+aLGdQ3lxRtjGz2IUSJpCqRxsELiK78Z1SEWAhQFxncLpY2nCws2Z5N7tpQwX1cmpIYzJiW0QSt1nSoupZ9BSdFt2YVMW3KQzVmFRPi58sSgaIbHqbEKhefLOFxQTHK4r8l1jhaWGOUo2v3SIDyc7JnwxWaTu9/bu4dZ/JEf1zWU27qH8bePLqe+MBenUEUbT2d99PH9vSP5dM1ho+OBnk78OKkXv+w+wbvLD1kMpKuJp4ZEa4buKItryAJriUh/N967tQsJOi8uXKpgTbo6XfR7Wr6+Ep05erf354u7u8pIaMk1hzQOVjD35FA1Dx3o6cT0WxJY91cBc9Zn6YOj4nVeTEhV7zobgs/XZpqkvR7XNZSxXUNxaKX+IKXnnePxb9Q6CN893BNHgx+qn/ccZ9afmfrXPz3ai/OlFYz/dKPJWNbu2IO8nCkuLdcn1KsylOZ4ekgM05amWfyf4kK8WPRQKum5xUxasJ0jhSUW+1rCw9mepwZH4+vmVCt/giXeGZPA6KQQcs+WsuJALisP5LIu4xRlFZUWzwn2cubrB1MJ9a250ptEcrUijYMVzBkHiWXGdQ1ldJKOsbM2mD3ePdKXrx7owfmyCm77dCO7c4qMjnu5OFB0wfyS1yraB7hzf+8oLpZXWCwPWhOjE0N4eWQs2adKWL4/l5Vpuew9Zn4lliHvjk2QtRckLQa5lNUKHYM8OWBh+aYhE1LD6aPVUj5dUsY3W4+yJeu0/nhKuA+3dg3Fx0pdBEMKz5cx848Mk4L13SN9ub/35ZKiv+0/yTdbc/RjPNS3LaD6F6qinUFdVpqg8+bt3w5anTOvL452rfj+kZ4cyj1n1jCkhPuw4P4e2LUSDJ2xxkSG9gHupOcVWzUM3SJ8GZOiY3dOEU99ZzmYzhKtPdQo6/LKSlYcyOOGd1dbTLhnyNgUHXf2iCBO17y1NiQSW6bFGYfqhmFgxwCz5SnnbsjGzUmd5hBCMCYllIpKhRUHcpmzPov1f51iz7EiRnYJZkJqhMXI3uLScj5fc5hP12RSUlbOrVqsQrC3CxNnb2HL4UISQr1p7eHElxuz9YbhnTEJ3JysVk89cqrEyOG7+6VBuDna0/Zfv5odsyHYMHUAya+tMGmPDvRg7r3dAOj2xgqTQLiqJ4X0vGKL1x7YMZDkcB+mLU1jc1ahxX6WuLNHOG28nNl59AwPztumr01tjQg/V+7oEc4tyTqrhY4kEolKi5tWMix0X8Wk/m2Zueov/j6gHU4OdizYdMQoqvbtMQkMjwsyWrFyKPccc9Zn8f32Y1y4VEFKuA939YxgSOc2ONi1oqy8kgWbsvnQKFahA+0CLvstMvOLGfTeam5J1tHaw0m/xHTOxG701aqc/W/XcSYvVAvfdwry5Je/X0f2qRL6WYlTuBJmjOvC1O/3mDiS/d0dmXlbEkUXLvHAvG31unaIt4tJtHJt8XF1IMzPDUVR2HOsyKJvpDoDOwZwZ2pEkwU8SiS2jPQ5WOGln/aZXYnTLsCd/HOlrHi8L/7ujuw7fpYRH6416jM6KYRRXULo2dYPe81BXHThEou2HmXexmyyT5XQ2sMJD2d7ThZdpKSsgh5Rvjw9JIbEMB+TMQFe/2W/0Yqfnx7tRbxOjWuYvHCHvtjMM0NjeKhvW4vyXylJYd5st+AA/tewGNJzi42C4q4Gfn+iL1GNGLcikVxtSONghX3Hixj+wVqT9qqVOjcmBPPh+ER9+7J9J3mw2p2yv7sTNyYEMapLCPE6L4QQVFYqvPjTPuZtzDbo58hnd3W1GsQ25P3V+vn6VU/2I9LfjbLySjo8dzl+YfGkXrQPdKfTC8vq/P9eCQEeTiZFb2yd27qH8cKITtLBLJGYoUEd0kKIL4ARQJ6iKJ21Nl/gayACyALGKopyWqgRWzOAYUAJcLeiKNu1c+4CntMu+5qiKHO09mRgNuAC/Ao8pjSixQrwMJ+OuWrE/+06zujEEPrHBAAwOLYNy6f04b65W8k+VUL/6NY42dsxf+MR/rsuiyh/N3S+rhw8eZbcs6WE+7kyOlFH4flSvtt+jFEz15EQ6s3dPcMZFhekrzWsKArd3lhJvsGP755jRbQS0Hf6H/q23S8NYl16gVEJzqbiajEM/aNb88SgaIt+H4lEUndqfHIQQvQBioG5Bsbh30ChoihvCSGeAXwURXlaCDEMmIxqHLoDMxRF6a4Zk61ACqAA24BkzaBsBh4DNqIahw8URVlCDdT3yaH/23+Y1BuoTpCXMyse74ub02XbeaakjMkLd7AmvYC7UsN5bGAHZq7K4PO1xkFgzw7ryKjEEFp7OFFcWs5323KYsyGLzPzz+Ls7clu3MMZ3DyP1zcspsne/NIjbPt1otPQyNtiT7x7uScLLv1Fabnl9/tVG29Zu/JVvXf+1IcTbhXt6RTAmORQv18bNiyWRXCs0+LSSECIC+NnAOBwE+imKckIIEQT8oShKtBBilra/0LBf1aYoyoNa+yzgD21bpShKjNY+3rCfNeprHF5YvJe5G7Jr7DexVyQv3Gic/6i8opJpS9OMfAQeTvaMTAzG392J3/blsv/EWexaCXq182dUl2AGx7bBxcGOtRlqYN3KNOOVUYdeG4qjfSu6v7GC3LPqnfrfB7Qj1NfVaq2EhsAwCZ0hhlHQDUUrgcXiPHW5xoCYQCakhnOddDBLJHWmKeIcAhVFOQGgGYgArT0EOGrQL0drs9aeY6a90bi/d1StjMMX6w4zskuwUTH6sxfLqR5kO2tCMj3b+gMw8bpIvt2aw6nzpSzeeZzHv9mFs8MebujUhlFdgnl7TAKJry43On/4B2tMln1+YCExXkNwR48wCs+X8euekyaGoX90a1YdzG9wwwD1MwyO9uqqLz83R27V0nyYqwMtkUganoaOczB3K6fUo938xYV4AHgAICysdjURqvPBynSLx7xdHXBztNcvtxw5cx3prw+lrLySz9ce5pPVaqzC2BQdA2ICePGnfdw7eyvvaFG2Iz9ax+GC82S8PpQnB0WzLfs0P+48xi+7T+hXHVWx7+XBzFiZzierM82J0mh8udFyIr26ZkptaAbHBuLqaM+SvSe4eKmSzsGeTEiNYGhcG72vRiKRNA31NQ65Qoggg2mlqrmSHCDUoJ8OOK6196vW/ofWrjPT3yyKonwCfALqtFJ9BLe2HPNMySUe6tuWd5cfokyb52//7BL83R0pKC5jcGwg/xwcrY9VSArz4aEvt/HI/O1MHtBO78uoWuaaEuFLSoQvE1IjGPSecfrs2BebZuWRi4NdrYLEmgN/d0de/ltnyioqmLchm2X7cnF2aMWoLiHc0SNcOpglkmakvmknfwLu0vbvAhYbtE8QKj2AIm36aRkwSAjhI4TwAQYBy7Rj54QQPbSVThMMrtUsrD6Uz8d3JBm1FRSX8cMjPZl1Z4pREFuApzMLH+jB2BSdxRoJO46c1huG0Ukh7H15cOMJr9FKqBlJAZszDH06tGbVk/1Y+3R/xqaE8sLivUz5ehenSy7x/IhObJo6kLdujpeGQSJpZmqzlHUh6l2/vxAiB3gReAv4RghxL3AEGKN1/xV1pVIG6lLWewAURSkUQrwKbNH6vaIoSlXehIe5vJR1ibY1Gp2CPC2WxgRY/9cpNmSeMmm3VCnOyd6OaTfHExvsxYs/qUnjsgrOE+Hvxu9puUycrTrNJw9ox6T+7Yh5fmkD/Bfm8XJxIMDDifS84hpXZDU1I+KDeO/WLmz46xSv/3KA39NyAbi+o+pg7tVWOpglEluixQXB5Z29SLc3VtbYb8a4Lqw+VMB32y9PQ22cej1tvCzFSShETlVzHXk629M3OkDvZxjfLYyKykp93qTGoDbZT5ua3u39GdUlhO5Rvizde5L5m45wuOA8fm6OjOsWym3dwwnxNl8PWyKRNDwyK6sV/vPnX4xJ1tWYCkLn48obozuTdeo827LVbKw3frSWFVP6ml1Xf7zo8gqfsxfLjRzQCzdbr6bWENiSYejZ1o8Z4xLJPXuReRuyefbHPVy8VElyuA//GNieIZ2lg1kisXVanHFIzy1mbYb5OsGG3Pyf9QBMGdhBbxzyz5Vy39wtzLu3u1F6hrLySmauarzlp1cLy6f0IdTXlSV7T/DAvK3sOHIGFwc7bkpUHcyxwdKPIJFcLbQ441Abw2DIeysOGb3eknWayQt38MzQGNZlFLD6UD4b/jrF+WpZTF8ZGVvvwjVXE4sn9SJe50XO6Qss2HyEr7ccpfB8GVH+brwwohM3J+satMyqRCJpGlqccahObYv/GLJ8fy7L96sO1VBfF0YmhrCgWo3ma9kwzL+vO6lRfgCsTs/n/rlbWZmWh0Ct1TAhNYKebf2kg1kiuYpp8cahJsPwYJ8oZlkJVBuTHMq7yw9ZPH6t8PEdyVzfMQAHu1acKSnji3WH+XJjNlmnSvB3d2RSv3aM7x4mHcwSyTVCizcONTFrdSbRgR70jwkgI6+YFQdyjY5fy4Zh+i3xjIgP1hc52pNTxLyNWSzeeZzS8kpSwn2YckMH6WCWSK5BpHGoBQdzz+Hs0IoR8cGM7BKsr8x2LfLijZ24KTEENyd7DuWeY/HOY+w+VsT27NOknTyHi4Mdo5N03NkjnE7Bns0trkQiaSSkcaglu3KK2JVT1NxiNBpzJ3Yj71wpe3LOcM/sLew/flafKtzT2Z44nZd0MEskLQhpHCQATPhiMwBujnZ0DvFiQmo4cTpvEnRehPm6omY3kUgkLQVpHFowTvatiA32JF7nTbzOi3idF5H+7tjJVUYSSYtHGocWRFyIl94IxIV40yHQXZ9BViKRSAyRxuEaZlSXYJIjfEnQeRHdxkOuKJJIJLVGGodrjNn3dKV7pJ9++alEIpHUB2kcrgG8XBz4/K4UksN9pONYIpE0CHLC+RqgrLwSb1cHaRgkEkmDIZ8crjJGxAcR5utKqK8roT6uhPm6EuTtjIN0LEskkgZEGgcbJMzXlXHdQmkf4EGorwuhPq64Ocm3SiKRNB3yF8cG6NOhNZMHtCMpzEfGGEgkEpugxRqHBJ1Xk6bDeH5EJ4bFtSHIy4WMvGIGvvsnAOF+rsyd2K3J5JBIJJLaYDPGQQgxBJgB2AGfKYryVmOO11iGYVCnQF4Z2dlirWmAdgHupL06hI4vLCUx1LtR5JBIJJIrwSaMgxDCDpgJ3ADkAFuEED8pirK/eSWzzofjExkUG4idEOScvkC4X+1zEDk72HH4zeGNLKFEIpHUD5swDkA3IENRlEwAIcRXwEig2Y3DjHFd6B8TgKezA3tyivB1dzRb0CbC360ZpJNIJJLGwVaMQwhw1OB1DtC9OQS5OUnHm6PjcLQ3XRoap/NqBokkEomk6bEV42BuLkYx6STEA8ADAGFhYVc86H9uTyLI24UADyeCvJxlEJlEIpFo2IpxyAFCDV7rgOPVOymK8gnwCUBKSoqJ8agNWW/JeX6JRCKpCVsJq90CtBdCRAohHIFxwE/NLJNEIpG0WGziyUFRlHIhxKPAMtSlrF8oirKvmcWSSCSSFotNGAcARVF+BX5tbjkkEolEYjvTShKJRCKxIaRxkEgkEokJ0jhIJBKJxARpHCQSiURigjQOEolEIjFBKEq9YsmaHSFEPpBdz9P9gYIGFKexkHI2LFLOhkXK2bA0hZzhiqK0rk3Hq9Y4XAlCiK2KoqQ0txw1IeVsWKScDYuUs2GxNTnltJJEIpFITJDGQSKRSCQmtFTj8ElzC1BLpJwNi5SzYZFyNiw2JWeL9DlIJBKJxDot9clBIpFIJFZoUcZBCDFECHFQCJEhhHimicYMFUKsEkIcEELsE0I8prX7CiGWCyHStb8+WrsQQnygybhbCJFkcK27tP7pQoi7DNqThRB7tHM+EFdQtUgIYSeE2CGE+Fl7HSmE2KSN+bWWUh0hhJP2OkM7HmFwjala+0EhxGCD9gbRvxDCWwjxrRAiTdNrqi3qUwgxRXvP9wohFgohnG1Bn0KIL4QQeUKIvQZtja4/S2PUUc7p2vu+WwjxgxDCu756qs97UVs5DY49KYRQhBD+za3POqMoSovYUFOB/wVEAY7ALqBTE4wbBCRp+x7AIaAT8G/gGa39GWCatj8MWIJaHa8HsElr9wUytb8+2r6PdmwzkKqdswQYegXyPg4sAH7WXn8DjNP2PwYe1vYfAT7W9scBX2v7nTTdOgGRms7tGlL/wBzgPm3fEfC2NX2ilr49DLgY6PFuW9An0AdIAvYatDW6/iyNUUc5BwH22v40AznrrKe6vhd1kVNrD0UtQ5AN+De3Puv8GW7Ii9nypil3mcHrqcDUZpBjMXADcBAI0tqCgIPa/ixgvEH/g9rx8cAsg/ZZWlsQkGbQbtSvjrLpgJXAAOBn7cNYYPBl1OtQ+9Cnavv2Wj9RXa9V/RpK/4An6o+uqNZuU/rkcl10X00/PwODbUWfQATGP7qNrj9LY9RFzmrHbgLmm/v/a9JTfT7bdZUT+BZIALK4bByaVZ912VrStFLVl7WKHK2tydAeTxOBTUCgoignALS/AVo3S3Jaa88x014f3geeAiq1137AGUVRys1cWy+PdrxI619X+etKFJAP/Feo01+fCSHcsDF9KopyDHgbOAKcQNXPNmxPn1U0hf4sjVFfJqLeSddHzvp8tmuNEOJvwDFFUXZVO2TL+jSiJRkHc/PGTbZUSwjhDnwH/ENRlLPWupppU+rRXlf5RgB5iqJsq4Us1o41qpyod3JJwH8URUkEzqM+UluiufTpA4xEneIIBtyAoVau3Vz6rAmblEsI8SxQDsyvaqqjPPX5bNdWNlfgWeAFc4frKE+z/W61JOOQgzoHWIUOON4UAwshHFANw3xFUb7XmnOFEEHa8SAgrwY5rbXrzLTXlV7A34QQWcBXqFNL7wPeQoiqioGG19bLox33AgrrIX9dyQFyFEXZpL3+FtVY2Jo+BwKHFUXJVxTlEvA90BPb02cVTaE/S2PUCc1ZOwK4XdHmVOohZwF1fy9qS1vUm4Jd2vdJB2wXQrSph5yNrk+LNOQclS1vqHecmdqbVuWYim2CcQUwF3i/Wvt0jJ1J/9b2h2PssNqstfuizrX7aNthwFc7tkXrW+WwGnaFMvfjskN6EcZOu0e0/UkYO+2+0fZjMXYMZqI6BRtM/8AaIFrbf0nTpU3pE+gO7ANctevMASbbij4x9Tk0uv4sjVFHOYcA+4HW1frVWU91fS/qIme1Y1lc9jk0qz7r9BluyIvZ+oa6UuAQ6uqFZ5tozOtQHwN3Azu1bRjqHOZKIF37W/VBEMBMTcY9QIrBtSYCGdp2j0F7CrBXO+cjanCe1ULmflw2DlGoqyUytC+Tk9burL3O0I5HGZz/rCbLQQxW+jSU/oEuwFZNpz9qXyab0yfwMpCmXWse6g9Xs+sTWIjqB7mEemd6b1Poz9IYdZQzA3Vuvuq79HF99VSf96K2clY7nsVl49Bs+qzrJiOkJRKJRGJCS/I5SCQSiaSWSOMgkUgkEhOkcZBIJBKJCdI4SCQSicQEaRwk2cY+bQAAACJJREFUEolEYoI0DhKJRCIxQRoHiUQikZggjYNEIpFITPh/bkBWHsdsY94AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f14646ca860>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(twitter_archive_master['likes'], twitter_archive_master['retweets'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'Months')"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f14645250f0>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "value=twitter_archive_master['month'].value_counts()\n",
    "value.plot(kind='bar',title='Rate of Tweets By Month ');\n",
    "plt.xlabel('Months')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Monday       270\n",
      "Tuesday      236\n",
      "Thursday     232\n",
      "Wednesday    232\n",
      "Friday       231\n",
      "Sunday       205\n",
      "Saturday     194\n",
      "Name: day, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f146464ae80>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "value=twitter_archive_master['day'].value_counts()\n",
    "print(value)\n",
    "value.plot(kind='bar',title='Rate of Tweets By Day ');\n",
    "plt.xlabel('Months');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "The tweet rate among the days are somewhat  evenly spread out. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Insights:\n",
    "1. The Top dog breeds posted on WeRateDogs are the; <br>\n",
    "    a. **labrador retriever** <br>\n",
    "    b. **French Bulldog** <br>\n",
    "    c. **Chihuaha** <br>\n",
    "    d. **Pembroke** and <br>\n",
    "    e  **Eskimo Dog**\n",
    "   \n",
    "2. The Handlers most used  Device for tweeting is an Iphone .\n",
    "3. December has the highest tweet rates ,followed by November.\n",
    "5. Day doesnt implicitly affect tweet rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "extensions": {
   "jupyter_dashboards": {
    "activeView": "report_default",
    "version": 1,
    "views": {
     "grid_default": {
      "cellMargin": 10,
      "defaultCellHeight": 20,
      "maxColumns": 12,
      "name": "grid",
      "type": "grid"
     },
     "report_default": {
      "name": "report",
      "type": "report"
     }
    }
   }
  },
  "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": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}