wrangle_act.ipynb

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   "source": [
    "# Project: Wrangling and Analyze Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## WeRateDogs\n",
    "\n",
    "![](dog-rates-social.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Introduction\n",
    "\n",
    "This project involves the wrangling, analyzing, and visualizing of datasets associated with the tweet archive of Twitter user [@dog_rates](https://twitter.com/dog_rates), also known as [WeRateDogs](https://en.wikipedia.org/wiki/WeRateDogs). From the documentation given, WeRateDogs is a Twitter account that rates people's dogs with a humorous comment about the dog. These ratings almost always have a denominator of 10 with over 4 million followers and ample international media coverage. The datasets used in this project will be gathered from various sources, assessed, cleaned, and insights will be drawn from them."
   ]
  },
  {
   "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)"
   ]
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       "  <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",
       "  </tbody>\n",
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      "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",
       "\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",
       "\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",
       "\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",
       "\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",
       "\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",
       "\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  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#importing dependencies\n",
    "import pandas as pd\n",
    "import requests\n",
    "\n",
    "twitter_archive = pd.read_csv('twitter-archive-enhanced.csv')\n",
    "twitter_archive.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. Use the Requests library to download the tweet image prediction (image_predictions.tsv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = 'https://d17h27t6h515a5.cloudfront.net/topher/2017/August/599fd2ad_image-predictions/image-predictions.tsv'\n",
    "response = requests.get(url)\n",
    "\n",
    "with open('image_predictions.tsv', \"wb\") as file:\n",
    "    file.write(response.content)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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",
       "  </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",
       "\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",
       "\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  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_predictions = pd.read_csv('image_predictions.tsv', sep='\\t')\n",
    "image_predictions.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. Use the Tweepy library to query additional data via the Twitter API (tweet_json.txt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
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     "text": [
      "1: 892420643555336193\n",
      "Fail\n",
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     ]
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    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-214-65c4d940dbfb>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     37\u001b[0m         \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcount\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m\": \"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtweet_id\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     38\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 39\u001b[0;31m             \u001b[0mtweet\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mapi\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_status\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtweet_id\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtweet_mode\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'extended'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     40\u001b[0m             \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Success\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     41\u001b[0m             \u001b[0mjson\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdump\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtweet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_json\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moutfile\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/tweepy/binder.py\u001b[0m in \u001b[0;36m_call\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    243\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    244\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 245\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexecute\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    246\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    247\u001b[0m     \u001b[0;31m# Set pagination mode\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/tweepy/binder.py\u001b[0m in \u001b[0;36mexecute\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    185\u001b[0m                                                 \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapi\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    186\u001b[0m                                                 \u001b[0mauth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mauth\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 187\u001b[0;31m                                                 proxies=self.api.proxy)\n\u001b[0m\u001b[1;32m    188\u001b[0m                 \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    189\u001b[0m                     \u001b[0;32mraise\u001b[0m \u001b[0mTweepError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Failed to send request: %s'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/requests/sessions.py\u001b[0m in \u001b[0;36mrequest\u001b[0;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001b[0m\n\u001b[1;32m    506\u001b[0m         }\n\u001b[1;32m    507\u001b[0m         \u001b[0msend_kwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msettings\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 508\u001b[0;31m         \u001b[0mresp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprep\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0msend_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    509\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    510\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/requests/sessions.py\u001b[0m in \u001b[0;36msend\u001b[0;34m(self, request, **kwargs)\u001b[0m\n\u001b[1;32m    616\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    617\u001b[0m         \u001b[0;31m# Send the request\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 618\u001b[0;31m         \u001b[0mr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0madapter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    619\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    620\u001b[0m         \u001b[0;31m# Total elapsed time of the request (approximately)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/requests/adapters.py\u001b[0m in \u001b[0;36msend\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[1;32m    438\u001b[0m                     \u001b[0mdecode_content\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    439\u001b[0m                     \u001b[0mretries\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmax_retries\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 440\u001b[0;31m                     \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    441\u001b[0m                 )\n\u001b[1;32m    442\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/urllib3/connectionpool.py\u001b[0m in \u001b[0;36murlopen\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001b[0m\n\u001b[1;32m    599\u001b[0m                                                   \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtimeout_obj\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    600\u001b[0m                                                   \u001b[0mbody\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mbody\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mheaders\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mheaders\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 601\u001b[0;31m                                                   chunked=chunked)\n\u001b[0m\u001b[1;32m    602\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    603\u001b[0m             \u001b[0;31m# If we're going to release the connection in ``finally:``, then\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/urllib3/connectionpool.py\u001b[0m in \u001b[0;36m_make_request\u001b[0;34m(self, conn, method, url, timeout, chunked, **httplib_request_kw)\u001b[0m\n\u001b[1;32m    344\u001b[0m         \u001b[0;31m# Trigger any extra validation we need to do.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    345\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 346\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_validate_conn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    347\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mSocketTimeout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mBaseSSLError\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    348\u001b[0m             \u001b[0;31m# Py2 raises this as a BaseSSLError, Py3 raises it as socket timeout.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/urllib3/connectionpool.py\u001b[0m in \u001b[0;36m_validate_conn\u001b[0;34m(self, conn)\u001b[0m\n\u001b[1;32m    848\u001b[0m         \u001b[0;31m# Force connect early to allow us to validate the connection.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    849\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'sock'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m  \u001b[0;31m# AppEngine might not have  `.sock`\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 850\u001b[0;31m             \u001b[0mconn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconnect\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    851\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    852\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mconn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_verified\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/urllib3/connection.py\u001b[0m in \u001b[0;36mconnect\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    282\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mconnect\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    283\u001b[0m         \u001b[0;31m# Add certificate verification\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 284\u001b[0;31m         \u001b[0mconn\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_new_conn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    285\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    286\u001b[0m         \u001b[0mhostname\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhost\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/urllib3/connection.py\u001b[0m in \u001b[0;36m_new_conn\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    139\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    140\u001b[0m             conn = connection.create_connection(\n\u001b[0;32m--> 141\u001b[0;31m                 (self.host, self.port), self.timeout, **extra_kw)\n\u001b[0m\u001b[1;32m    142\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    143\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mSocketTimeout\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/urllib3/util/connection.py\u001b[0m in \u001b[0;36mcreate_connection\u001b[0;34m(address, timeout, source_address, socket_options)\u001b[0m\n\u001b[1;32m     71\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0msource_address\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     72\u001b[0m                 \u001b[0msock\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbind\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msource_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 73\u001b[0;31m             \u001b[0msock\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconnect\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msa\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     74\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0msock\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     75\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "# Not my code, but twitter issues\n",
    "import tweepy\n",
    "from tweepy import OAuthHandler\n",
    "import json\n",
    "from timeit import default_timer as timer\n",
    "\n",
    "# Query Twitter API for each tweet in the Twitter archive and save JSON in a text file\n",
    "# These are hidden to comply with Twitter's API terms and conditions\n",
    "consumer_key = 'HIDDEN'\n",
    "consumer_secret = 'HIDDEN'\n",
    "access_token = 'HIDDEN'\n",
    "access_secret = 'HIDDEN'\n",
    "\n",
    "auth = OAuthHandler(consumer_key, consumer_secret)\n",
    "auth.set_access_token(access_token, access_secret)\n",
    "\n",
    "api = tweepy.API(auth, wait_on_rate_limit=True)\n",
    "\n",
    "# NOTE TO STUDENT WITH MOBILE VERIFICATION ISSUES:\n",
    "# df_1 is a DataFrame with the twitter_archive_enhanced.csv file. You may have to\n",
    "# change line 17 to match the name of your DataFrame with twitter_archive_enhanced.csv\n",
    "# NOTE TO REVIEWER: this student had mobile verification issues so the following\n",
    "# Twitter API code was sent to this student from a Udacity instructor\n",
    "# Tweet IDs for which to gather additional data via Twitter's API\n",
    "tweet_ids = twitter_archive.tweet_id.values\n",
    "len(tweet_ids)\n",
    "\n",
    "# Query Twitter's API for JSON data for each tweet ID in the Twitter archive\n",
    "count = 0\n",
    "fails_dict = {}\n",
    "start = timer()\n",
    "# Save each tweet's returned JSON as a new line in a .txt file\n",
    "with open('tweet_json.txt', 'w') as outfile:\n",
    "    # This loop will likely take 20-30 minutes to run because of Twitter's rate limit\n",
    "    for tweet_id in tweet_ids:\n",
    "        count += 1\n",
    "        print(str(count) + \": \" + str(tweet_id))\n",
    "        try:\n",
    "            tweet = api.get_status(tweet_id, tweet_mode='extended')\n",
    "            print(\"Success\")\n",
    "            json.dump(tweet._json, outfile)\n",
    "            outfile.write('\\n')\n",
    "        except tweepy.TweepError as e:\n",
    "            print(\"Fail\")\n",
    "            fails_dict[tweet_id] = e\n",
    "            pass\n",
    "end = timer()\n",
    "print(end - start)\n",
    "print(fails_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "json_list = []\n",
    "with open('tweet-json.txt', 'r') as file:\n",
    "    for x in twitter_archive['tweet_id'].values:\n",
    "        json_list.append(file.readline())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Courtsey of @davidakingbeni\n",
    "import json\n",
    "\n",
    "pd_list = []\n",
    "len_ = len(json_list)\n",
    "for i in range(0, len_):\n",
    "    if not json_list[i]:\n",
    "        continue\n",
    "    else:\n",
    "        json_load = json.loads(json_list[i])\n",
    "        tweet_id = json_load[\"id_str\"]\n",
    "        time = json_load[\"created_at\"]\n",
    "        likes = json_load[\"favorite_count\"]\n",
    "        retweet_counts = json_load[\"retweet_count\"]\n",
    "        json_dict = {\"tweet_id\": tweet_id,\n",
    "                    \"timestamp\": time,\n",
    "                    \"likes\": likes,\n",
    "                    \"retweet_count\": retweet_counts}\n",
    "    pd_list.append(json_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "extra_info = pd.DataFrame(pd_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>retweet_count</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>tweet_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>39467</td>\n",
       "      <td>8853</td>\n",
       "      <td>Tue Aug 01 16:23:56 +0000 2017</td>\n",
       "      <td>892420643555336193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>33819</td>\n",
       "      <td>6514</td>\n",
       "      <td>Tue Aug 01 00:17:27 +0000 2017</td>\n",
       "      <td>892177421306343426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>25461</td>\n",
       "      <td>4328</td>\n",
       "      <td>Mon Jul 31 00:18:03 +0000 2017</td>\n",
       "      <td>891815181378084864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>42908</td>\n",
       "      <td>8964</td>\n",
       "      <td>Sun Jul 30 15:58:51 +0000 2017</td>\n",
       "      <td>891689557279858688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>41048</td>\n",
       "      <td>9774</td>\n",
       "      <td>Sat Jul 29 16:00:24 +0000 2017</td>\n",
       "      <td>891327558926688256</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   likes  retweet_count                       timestamp            tweet_id\n",
       "0  39467           8853  Tue Aug 01 16:23:56 +0000 2017  892420643555336193\n",
       "1  33819           6514  Tue Aug 01 00:17:27 +0000 2017  892177421306343426\n",
       "2  25461           4328  Mon Jul 31 00:18:03 +0000 2017  891815181378084864\n",
       "3  42908           8964  Sun Jul 30 15:58:51 +0000 2017  891689557279858688\n",
       "4  41048           9774  Sat Jul 29 16:00:24 +0000 2017  891327558926688256"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "extra_info.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": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tweet_id                         0\n",
       "in_reply_to_status_id         2278\n",
       "in_reply_to_user_id           2278\n",
       "timestamp                        0\n",
       "source                           0\n",
       "text                             0\n",
       "retweeted_status_id           2175\n",
       "retweeted_status_user_id      2175\n",
       "retweeted_status_timestamp    2175\n",
       "expanded_urls                   59\n",
       "rating_numerator                 0\n",
       "rating_denominator               0\n",
       "name                             0\n",
       "doggo                            0\n",
       "floofer                          0\n",
       "pupper                           0\n",
       "puppo                            0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tweet_id    0\n",
       "jpg_url     0\n",
       "img_num     0\n",
       "p1          0\n",
       "p1_conf     0\n",
       "p1_dog      0\n",
       "p2          0\n",
       "p2_conf     0\n",
       "p2_dog      0\n",
       "p3          0\n",
       "p3_conf     0\n",
       "p3_dog      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_predictions.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "likes            0\n",
       "retweet_count    0\n",
       "timestamp        0\n",
       "tweet_id         0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "extra_info.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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": 12,
   "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_predictions.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2354 entries, 0 to 2353\n",
      "Data columns (total 4 columns):\n",
      "likes            2354 non-null int64\n",
      "retweet_count    2354 non-null int64\n",
      "timestamp        2354 non-null object\n",
      "tweet_id         2354 non-null object\n",
      "dtypes: int64(2), object(2)\n",
      "memory usage: 73.6+ KB\n"
     ]
    }
   ],
   "source": [
    "extra_info.info()"
   ]
  },
  {
   "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>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",
       "  </tbody>\n",
       "</table>\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",
       "\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",
       "\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",
       "\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",
       "\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",
       "\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",
       "\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  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <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",
       "  </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",
       "\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",
       "\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  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_predictions.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "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>retweet_count</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>tweet_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>39467</td>\n",
       "      <td>8853</td>\n",
       "      <td>Tue Aug 01 16:23:56 +0000 2017</td>\n",
       "      <td>892420643555336193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>33819</td>\n",
       "      <td>6514</td>\n",
       "      <td>Tue Aug 01 00:17:27 +0000 2017</td>\n",
       "      <td>892177421306343426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>25461</td>\n",
       "      <td>4328</td>\n",
       "      <td>Mon Jul 31 00:18:03 +0000 2017</td>\n",
       "      <td>891815181378084864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>42908</td>\n",
       "      <td>8964</td>\n",
       "      <td>Sun Jul 30 15:58:51 +0000 2017</td>\n",
       "      <td>891689557279858688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>41048</td>\n",
       "      <td>9774</td>\n",
       "      <td>Sat Jul 29 16:00:24 +0000 2017</td>\n",
       "      <td>891327558926688256</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   likes  retweet_count                       timestamp            tweet_id\n",
       "0  39467           8853  Tue Aug 01 16:23:56 +0000 2017  892420643555336193\n",
       "1  33819           6514  Tue Aug 01 00:17:27 +0000 2017  892177421306343426\n",
       "2  25461           4328  Mon Jul 31 00:18:03 +0000 2017  891815181378084864\n",
       "3  42908           8964  Sun Jul 30 15:58:51 +0000 2017  891689557279858688\n",
       "4  41048           9774  Sat Jul 29 16:00:24 +0000 2017  891327558926688256"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "extra_info.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_predictions.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "extra_info.duplicated().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Thus far, no duplicates in all of the inspected datasets which spells good for the overall wrangling process."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\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>retweeted_status_id</th>\n",
       "      <th>retweeted_status_user_id</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>2.356000e+03</td>\n",
       "      <td>7.800000e+01</td>\n",
       "      <td>7.800000e+01</td>\n",
       "      <td>1.810000e+02</td>\n",
       "      <td>1.810000e+02</td>\n",
       "      <td>2356.000000</td>\n",
       "      <td>2356.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>7.427716e+17</td>\n",
       "      <td>7.455079e+17</td>\n",
       "      <td>2.014171e+16</td>\n",
       "      <td>7.720400e+17</td>\n",
       "      <td>1.241698e+16</td>\n",
       "      <td>13.126486</td>\n",
       "      <td>10.455433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>6.856705e+16</td>\n",
       "      <td>7.582492e+16</td>\n",
       "      <td>1.252797e+17</td>\n",
       "      <td>6.236928e+16</td>\n",
       "      <td>9.599254e+16</td>\n",
       "      <td>45.876648</td>\n",
       "      <td>6.745237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>6.660209e+17</td>\n",
       "      <td>6.658147e+17</td>\n",
       "      <td>1.185634e+07</td>\n",
       "      <td>6.661041e+17</td>\n",
       "      <td>7.832140e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>6.783989e+17</td>\n",
       "      <td>6.757419e+17</td>\n",
       "      <td>3.086374e+08</td>\n",
       "      <td>7.186315e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>7.196279e+17</td>\n",
       "      <td>7.038708e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>7.804657e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7.993373e+17</td>\n",
       "      <td>8.257804e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>8.203146e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>8.924206e+17</td>\n",
       "      <td>8.862664e+17</td>\n",
       "      <td>8.405479e+17</td>\n",
       "      <td>8.874740e+17</td>\n",
       "      <td>7.874618e+17</td>\n",
       "      <td>1776.000000</td>\n",
       "      <td>170.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           tweet_id  in_reply_to_status_id  in_reply_to_user_id  \\\n",
       "count  2.356000e+03           7.800000e+01         7.800000e+01   \n",
       "mean   7.427716e+17           7.455079e+17         2.014171e+16   \n",
       "std    6.856705e+16           7.582492e+16         1.252797e+17   \n",
       "min    6.660209e+17           6.658147e+17         1.185634e+07   \n",
       "25%    6.783989e+17           6.757419e+17         3.086374e+08   \n",
       "50%    7.196279e+17           7.038708e+17         4.196984e+09   \n",
       "75%    7.993373e+17           8.257804e+17         4.196984e+09   \n",
       "max    8.924206e+17           8.862664e+17         8.405479e+17   \n",
       "\n",
       "       retweeted_status_id  retweeted_status_user_id  rating_numerator  \\\n",
       "count         1.810000e+02              1.810000e+02       2356.000000   \n",
       "mean          7.720400e+17              1.241698e+16         13.126486   \n",
       "std           6.236928e+16              9.599254e+16         45.876648   \n",
       "min           6.661041e+17              7.832140e+05          0.000000   \n",
       "25%           7.186315e+17              4.196984e+09         10.000000   \n",
       "50%           7.804657e+17              4.196984e+09         11.000000   \n",
       "75%           8.203146e+17              4.196984e+09         12.000000   \n",
       "max           8.874740e+17              7.874618e+17       1776.000000   \n",
       "\n",
       "       rating_denominator  \n",
       "count         2356.000000  \n",
       "mean            10.455433  \n",
       "std              6.745237  \n",
       "min              0.000000  \n",
       "25%             10.000000  \n",
       "50%             10.000000  \n",
       "75%             10.000000  \n",
       "max            170.000000  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "\n",
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       "        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>313</th>\n",
       "      <td>835246439529840640</td>\n",
       "      <td>8.352460e+17</td>\n",
       "      <td>26259576.0</td>\n",
       "      <td>2017-02-24 21:54:03 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>@jonnysun @Lin_Manuel ok jomny I know you're e...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>960</td>\n",
       "      <td>0</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",
       "</div>"
      ],
      "text/plain": [
       "               tweet_id  in_reply_to_status_id  in_reply_to_user_id  \\\n",
       "313  835246439529840640           8.352460e+17           26259576.0   \n",
       "\n",
       "                     timestamp  \\\n",
       "313  2017-02-24 21:54:03 +0000   \n",
       "\n",
       "                                                source  \\\n",
       "313  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "\n",
       "                                                  text  retweeted_status_id  \\\n",
       "313  @jonnysun @Lin_Manuel ok jomny I know you're e...                  NaN   \n",
       "\n",
       "     retweeted_status_user_id retweeted_status_timestamp expanded_urls  \\\n",
       "313                       NaN                        NaN           NaN   \n",
       "\n",
       "     rating_numerator  rating_denominator  name doggo floofer pupper puppo  \n",
       "313               960                   0  None  None    None   None  None  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive.query('rating_denominator == 0')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "likes             int64\n",
       "retweet_count     int64\n",
       "timestamp        object\n",
       "tweet_id         object\n",
       "dtype: object"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "extra_info.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tweet_id      int64\n",
       "jpg_url      object\n",
       "img_num       int64\n",
       "p1           object\n",
       "p1_conf     float64\n",
       "p1_dog         bool\n",
       "p2           object\n",
       "p2_conf     float64\n",
       "p2_dog         bool\n",
       "p3           object\n",
       "p3_conf     float64\n",
       "p3_dog         bool\n",
       "dtype: object"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_predictions.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Phineas', 'Tilly', 'Archie', 'Darla', 'Franklin', 'None', 'Jax',\n",
       "       'Zoey', 'Cassie', 'Koda', 'Bruno', 'Ted', 'Stuart', 'Oliver', 'Jim',\n",
       "       'Zeke', 'Ralphus', 'Canela', 'Gerald', 'Jeffrey', 'such', 'Maya',\n",
       "       'Mingus', 'Derek', 'Roscoe', 'Waffles', 'Jimbo', 'Maisey', 'Lilly',\n",
       "       'Earl', 'Lola', 'Kevin', 'Yogi', 'Noah', 'Bella', 'Grizzwald',\n",
       "       'Rusty', 'Gus', 'Stanley', 'Alfy', 'Koko', 'Rey', 'Gary', 'a',\n",
       "       'Elliot', 'Louis', 'Jesse', 'Romeo', 'Bailey', 'Duddles', 'Jack',\n",
       "       'Emmy', 'Steven', 'Beau', 'Snoopy', 'Shadow', 'Terrance', 'Aja',\n",
       "       'Penny', 'Dante', 'Nelly', 'Ginger', 'Benedict', 'Venti', 'Goose',\n",
       "       'Nugget', 'Cash', 'Coco', 'Jed', 'Sebastian', 'Walter', 'Sierra',\n",
       "       'Monkey', 'Harry', 'Kody', 'Lassie', 'Rover', 'Napolean', 'Dawn',\n",
       "       'Boomer', 'Cody', 'Rumble', 'Clifford', 'quite', 'Dewey', 'Scout',\n",
       "       'Gizmo', 'Cooper', 'Harold', 'Shikha', 'Jamesy', 'Lili', 'Sammy',\n",
       "       'Meatball', 'Paisley', 'Albus', 'Neptune', 'Quinn', 'Belle',\n",
       "       'Zooey', 'Dave', 'Jersey', 'Hobbes', 'Burt', 'Lorenzo', 'Carl',\n",
       "       'Jordy', 'Milky', 'Trooper', 'Winston', 'Sophie', 'Wyatt', 'Rosie',\n",
       "       'Thor', 'Oscar', 'Luna', 'Callie', 'Cermet', 'George', 'Marlee',\n",
       "       'Arya', 'Einstein', 'Alice', 'Rumpole', 'Benny', 'Aspen', 'Jarod',\n",
       "       'Wiggles', 'General', 'Sailor', 'Astrid', 'Iggy', 'Snoop', 'Kyle',\n",
       "       'Leo', 'Riley', 'Gidget', 'Noosh', 'Odin', 'Jerry', 'Charlie',\n",
       "       'Georgie', 'Rontu', 'Cannon', 'Furzey', 'Daisy', 'Tuck', 'Barney',\n",
       "       'Vixen', 'Jarvis', 'Mimosa', 'Pickles', 'Bungalo', 'Brady', 'Margo',\n",
       "       'Sadie', 'Hank', 'Tycho', 'Stephan', 'Indie', 'Winnie', 'Bentley',\n",
       "       'Ken', 'Max', 'Maddie', 'Pipsy', 'Monty', 'Sojourner', 'Odie',\n",
       "       'Arlo', 'Sunny', 'Vincent', 'Lucy', 'Clark', 'Mookie', 'Meera',\n",
       "       'Buddy', 'Ava', 'Rory', 'Eli', 'Ash', 'Tucker', 'Tobi', 'Chester',\n",
       "       'Wilson', 'Sunshine', 'Lipton', 'Gabby', 'Bronte', 'Poppy', 'Rhino',\n",
       "       'Willow', 'not', 'Orion', 'Eevee', 'Smiley', 'Logan', 'Moreton',\n",
       "       'Klein', 'Miguel', 'Emanuel', 'Kuyu', 'Dutch', 'Pete', 'Scooter',\n",
       "       'Reggie', 'Kyro', 'Samson', 'Loki', 'Mia', 'Malcolm', 'Dexter',\n",
       "       'Alfie', 'Fiona', 'one', 'Mutt', 'Bear', 'Doobert', 'Beebop',\n",
       "       'Alexander', 'Sailer', 'Brutus', 'Kona', 'Boots', 'Ralphie', 'Phil',\n",
       "       'Cupid', 'Pawnd', 'Pilot', 'Ike', 'Mo', 'Toby', 'Sweet', 'Pablo',\n",
       "       'Nala', 'Balto', 'Crawford', 'Gabe', 'Mattie', 'Jimison',\n",
       "       'Hercules', 'Duchess', 'Harlso', 'Sampson', 'Sundance', 'Luca',\n",
       "       'Flash', 'Finn', 'Peaches', 'Howie', 'Jazzy', 'Anna', 'Bo',\n",
       "       'Seamus', 'Wafer', 'Chelsea', 'Tom', 'Moose', 'Florence', 'Autumn',\n",
       "       'Dido', 'Eugene', 'Herschel', 'Strudel', 'Tebow', 'Chloe', 'Betty',\n",
       "       'Timber', 'Binky', 'Dudley', 'Comet', 'Larry', 'Levi', 'Akumi',\n",
       "       'Titan', 'Olivia', 'Alf', 'Oshie', 'Bruce', 'Chubbs', 'Sky',\n",
       "       'Atlas', 'Eleanor', 'Layla', 'Rocky', 'Baron', 'Tyr', 'Bauer',\n",
       "       'Swagger', 'Brandi', 'Mary', 'Moe', 'Halo', 'Augie', 'Craig', 'Sam',\n",
       "       'Hunter', 'Pavlov', 'Maximus', 'Wallace', 'Ito', 'Milo', 'Ollie',\n",
       "       'Cali', 'Lennon', 'incredibly', 'Major', 'Duke', 'Reginald',\n",
       "       'Sansa', 'Shooter', 'Django', 'Diogi', 'Sonny', 'Philbert',\n",
       "       'Marley', 'Severus', 'Ronnie', 'Anakin', 'Bones', 'Mauve', 'Chef',\n",
       "       'Doc', 'Sobe', 'Longfellow', 'Mister', 'Iroh', 'Baloo', 'Stubert',\n",
       "       'Paull', 'Timison', 'Davey', 'Pancake', 'Tyrone', 'Snicku', 'Ruby',\n",
       "       'Brody', 'Rizzy', 'Mack', 'Butter', 'Nimbus', 'Laika', 'Dobby',\n",
       "       'Juno', 'Maude', 'Lily', 'Newt', 'Benji', 'Nida', 'Robin',\n",
       "       'Monster', 'BeBe', 'Remus', 'Mabel', 'Misty', 'Happy', 'Mosby',\n",
       "       'Maggie', 'Leela', 'Ralphy', 'Brownie', 'Meyer', 'Stella', 'mad',\n",
       "       'Frank', 'Tonks', 'Lincoln', 'Oakley', 'Dale', 'Rizzo', 'Arnie',\n",
       "       'Pinot', 'Dallas', 'Hero', 'Frankie', 'Stormy', 'Mairi', 'Loomis',\n",
       "       'Godi', 'Kenny', 'Deacon', 'Timmy', 'Harper', 'Chipson', 'Combo',\n",
       "       'Dash', 'Bell', 'Hurley', 'Jay', 'Mya', 'Strider', 'an', 'Wesley',\n",
       "       'Solomon', 'Huck', 'very', 'O', 'Blue', 'Finley', 'Sprinkles',\n",
       "       'Heinrich', 'Shakespeare', 'Fizz', 'Chip', 'Grey', 'Roosevelt',\n",
       "       'Gromit', 'Willem', 'Dakota', 'Dixie', 'Al', 'Jackson', 'just',\n",
       "       'Carbon', 'DonDon', 'Kirby', 'Lou', 'Nollie', 'Chevy', 'Tito',\n",
       "       'Louie', 'Rupert', 'Rufus', 'Brudge', 'Shadoe', 'Colby', 'Angel',\n",
       "       'Brat', 'Tove', 'my', 'Aubie', 'Kota', 'Eve', 'Glenn', 'Shelby',\n",
       "       'Sephie', 'Bonaparte', 'Albert', 'Wishes', 'Rose', 'Theo', 'Rocco',\n",
       "       'Fido', 'Emma', 'Spencer', 'Lilli', 'Boston', 'Brandonald', 'Corey',\n",
       "       'Leonard', 'Chompsky', 'Beckham', 'Devón', 'Gert', 'Watson',\n",
       "       'Rubio', 'Keith', 'Dex', 'Carly', 'Ace', 'Tayzie', 'Grizzie',\n",
       "       'Fred', 'Gilbert', 'Zoe', 'Stewie', 'Calvin', 'Lilah', 'Spanky',\n",
       "       'Jameson', 'Piper', 'Atticus', 'Blu', 'Dietrich', 'Divine', 'Tripp',\n",
       "       'his', 'Cora', 'Huxley', 'Keurig', 'Bookstore', 'Linus', 'Abby',\n",
       "       'Shaggy', 'Shiloh', 'Gustav', 'Arlen', 'Percy', 'Lenox', 'Sugar',\n",
       "       'Harvey', 'Blanket', 'actually', 'Geno', 'Stark', 'Beya', 'Kilo',\n",
       "       'Kayla', 'Maxaroni', 'Doug', 'Edmund', 'Aqua', 'Theodore', 'Chase',\n",
       "       'getting', 'Rorie', 'Simba', 'Charles', 'Bayley', 'Axel',\n",
       "       'Storkson', 'Remy', 'Chadrick', 'Kellogg', 'Buckley', 'Livvie',\n",
       "       'Terry', 'Hermione', 'Ralpher', 'Aldrick', 'this', 'unacceptable',\n",
       "       'Rooney', 'Crystal', 'Ziva', 'Stefan', 'Pupcasso', 'Puff',\n",
       "       'Flurpson', 'Coleman', 'Enchilada', 'Raymond', 'all', 'Rueben',\n",
       "       'Cilantro', 'Karll', 'Sprout', 'Blitz', 'Bloop', 'Lillie',\n",
       "       'Ashleigh', 'Kreggory', 'Sarge', 'Luther', 'Ivar', 'Jangle',\n",
       "       'Schnitzel', 'Panda', 'Berkeley', 'Ralphé', 'Charleson', 'Clyde',\n",
       "       'Harnold', 'Sid', 'Pippa', 'Otis', 'Carper', 'Bowie',\n",
       "       'Alexanderson', 'Suki', 'Barclay', 'Skittle', 'Ebby', 'Flávio',\n",
       "       'Smokey', 'Link', 'Jennifur', 'Ozzy', 'Bluebert', 'Stephanus',\n",
       "       'Bubbles', 'old', 'Zeus', 'Bertson', 'Nico', 'Michelangelope',\n",
       "       'Siba', 'Calbert', 'Curtis', 'Travis', 'Thumas', 'Kanu', 'Lance',\n",
       "       'Opie', 'Kane', 'Olive', 'Chuckles', 'Staniel', 'Sora', 'Beemo',\n",
       "       'Gunner', 'infuriating', 'Lacy', 'Tater', 'Olaf', 'Cecil', 'Vince',\n",
       "       'Karma', 'Billy', 'Walker', 'Rodney', 'Klevin', 'Malikai', 'Bobble',\n",
       "       'River', 'Jebberson', 'Remington', 'Farfle', 'Jiminus', 'Clarkus',\n",
       "       'Finnegus', 'Cupcake', 'Kathmandu', 'Ellie', 'Katie', 'Kara',\n",
       "       'Adele', 'Zara', 'Ambrose', 'Jimothy', 'Bode', 'Terrenth', 'Reese',\n",
       "       'Chesterson', 'Lucia', 'Bisquick', 'Ralphson', 'Socks', 'Rambo',\n",
       "       'Rudy', 'Fiji', 'Rilo', 'Bilbo', 'Coopson', 'Yoda', 'Millie',\n",
       "       'Chet', 'Crouton', 'Daniel', 'Kaia', 'Murphy', 'Dotsy', 'Eazy',\n",
       "       'Coops', 'Fillup', 'Miley', 'Charl', 'Reagan', 'Yukon', 'CeCe',\n",
       "       'Cuddles', 'Claude', 'Jessiga', 'Carter', 'Ole', 'Pherb', 'Blipson',\n",
       "       'Reptar', 'Trevith', 'Berb', 'Bob', 'Colin', 'Brian', 'Oliviér',\n",
       "       'Grady', 'Kobe', 'Freddery', 'Bodie', 'Dunkin', 'Wally', 'Tupawc',\n",
       "       'Amber', 'Edgar', 'Teddy', 'Kingsley', 'Brockly', 'Richie', 'Molly',\n",
       "       'Vinscent', 'Cedrick', 'Hazel', 'Lolo', 'Eriq', 'Phred', 'the',\n",
       "       'Oddie', 'Maxwell', 'Geoff', 'Covach', 'Durg', 'Fynn', 'Ricky',\n",
       "       'Herald', 'Lucky', 'Ferg', 'Trip', 'Clarence', 'Hamrick', 'Brad',\n",
       "       'Pubert', 'Frönq', 'Derby', 'Lizzie', 'Ember', 'Blakely', 'Opal',\n",
       "       'Marq', 'Kramer', 'Barry', 'Gordon', 'Baxter', 'Mona', 'Horace',\n",
       "       'Crimson', 'Birf', 'Hammond', 'Lorelei', 'Marty', 'Brooks',\n",
       "       'Petrick', 'Hubertson', 'Gerbald', 'Oreo', 'Bruiser', 'Perry',\n",
       "       'Bobby', 'Jeph', 'Obi', 'Tino', 'Kulet', 'Sweets', 'Lupe', 'Tiger',\n",
       "       'Jiminy', 'Griffin', 'Banjo', 'Brandy', 'Lulu', 'Darrel', 'Taco',\n",
       "       'Joey', 'Patrick', 'Kreg', 'Todo', 'Tess', 'Ulysses', 'Toffee',\n",
       "       'Apollo', 'Asher', 'Glacier', 'Chuck', 'Champ', 'Ozzie', 'Griswold',\n",
       "       'Cheesy', 'Moofasa', 'Hector', 'Goliath', 'Kawhi', 'by', 'Emmie',\n",
       "       'Penelope', 'Willie', 'Rinna', 'Mike', 'William', 'Dwight', 'Evy',\n",
       "       'officially', 'Rascal', 'Linda', 'Tug', 'Tango', 'Grizz', 'Jerome',\n",
       "       'Crumpet', 'Jessifer', 'Izzy', 'Ralph', 'Sandy', 'Humphrey',\n",
       "       'Tassy', 'Juckson', 'Chuq', 'Tyrus', 'Karl', 'Godzilla', 'Vinnie',\n",
       "       'Kenneth', 'Herm', 'Bert', 'Striker', 'Donny', 'Pepper', 'Bernie',\n",
       "       'Buddah', 'Lenny', 'Arnold', 'Zuzu', 'Mollie', 'Laela', 'Tedders',\n",
       "       'Superpup', 'Rufio', 'Jeb', 'Rodman', 'Jonah', 'Chesney', 'life',\n",
       "       'Henry', 'Bobbay', 'Mitch', 'Kaiya', 'Acro', 'Aiden', 'Obie', 'Dot',\n",
       "       'Shnuggles', 'Kendall', 'Jeffri', 'Steve', 'Mac', 'Fletcher',\n",
       "       'Kenzie', 'Pumpkin', 'Schnozz', 'Gustaf', 'Cheryl', 'Ed',\n",
       "       'Leonidas', 'Norman', 'Caryl', 'Scott', 'Taz', 'Darby', 'Jackie',\n",
       "       'light', 'Jazz', 'Franq', 'Pippin', 'Rolf', 'Snickers', 'Ridley',\n",
       "       'Cal', 'Bradley', 'Bubba', 'Tuco', 'Patch', 'Mojo', 'Batdog',\n",
       "       'Dylan', 'space', 'Mark', 'JD', 'Alejandro', 'Scruffers', 'Pip',\n",
       "       'Julius', 'Tanner', 'Sparky', 'Anthony', 'Holly', 'Jett', 'Amy',\n",
       "       'Sage', 'Andy', 'Mason', 'Trigger', 'Antony', 'Creg', 'Traviss',\n",
       "       'Gin', 'Jeffrie', 'Danny', 'Ester', 'Pluto', 'Bloo', 'Edd', 'Willy',\n",
       "       'Herb', 'Damon', 'Peanut', 'Nigel', 'Butters', 'Sandra', 'Fabio',\n",
       "       'Randall', 'Liam', 'Tommy', 'Ben', 'Raphael', 'Julio', 'Andru',\n",
       "       'Kloey', 'Shawwn', 'Skye', 'Kollin', 'Ronduh', 'Billl', 'Saydee',\n",
       "       'Dug', 'Tessa', 'Sully', 'Kirk', 'Ralf', 'Clarq', 'Jaspers',\n",
       "       'Samsom', 'Harrison', 'Chaz', 'Jeremy', 'Jaycob', 'Lambeau',\n",
       "       'Ruffles', 'Amélie', 'Bobb', 'Banditt', 'Kevon', 'Winifred', 'Hanz',\n",
       "       'Churlie', 'Zeek', 'Timofy', 'Maks', 'Jomathan', 'Kallie', 'Marvin',\n",
       "       'Spark', 'Gòrdón', 'Jo', 'DayZ', 'Jareld', 'Torque', 'Ron',\n",
       "       'Skittles', 'Cleopatricia', 'Erik', 'Stu', 'Tedrick', 'Filup',\n",
       "       'Kial', 'Naphaniel', 'Dook', 'Hall', 'Philippe', 'Biden', 'Fwed',\n",
       "       'Genevieve', 'Joshwa', 'Bradlay', 'Clybe', 'Keet', 'Carll',\n",
       "       'Jockson', 'Josep', 'Lugan', 'Christoper'], dtype=object)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive['name'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\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>img_num</th>\n",
       "      <th>p1_conf</th>\n",
       "      <th>p2_conf</th>\n",
       "      <th>p3_conf</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2.075000e+03</td>\n",
       "      <td>2075.000000</td>\n",
       "      <td>2075.000000</td>\n",
       "      <td>2.075000e+03</td>\n",
       "      <td>2.075000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>7.384514e+17</td>\n",
       "      <td>1.203855</td>\n",
       "      <td>0.594548</td>\n",
       "      <td>1.345886e-01</td>\n",
       "      <td>6.032417e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>6.785203e+16</td>\n",
       "      <td>0.561875</td>\n",
       "      <td>0.271174</td>\n",
       "      <td>1.006657e-01</td>\n",
       "      <td>5.090593e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>6.660209e+17</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.044333</td>\n",
       "      <td>1.011300e-08</td>\n",
       "      <td>1.740170e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>6.764835e+17</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.364412</td>\n",
       "      <td>5.388625e-02</td>\n",
       "      <td>1.622240e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>7.119988e+17</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.588230</td>\n",
       "      <td>1.181810e-01</td>\n",
       "      <td>4.944380e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7.932034e+17</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.843855</td>\n",
       "      <td>1.955655e-01</td>\n",
       "      <td>9.180755e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>8.924206e+17</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.880140e-01</td>\n",
       "      <td>2.734190e-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           tweet_id      img_num      p1_conf       p2_conf       p3_conf\n",
       "count  2.075000e+03  2075.000000  2075.000000  2.075000e+03  2.075000e+03\n",
       "mean   7.384514e+17     1.203855     0.594548  1.345886e-01  6.032417e-02\n",
       "std    6.785203e+16     0.561875     0.271174  1.006657e-01  5.090593e-02\n",
       "min    6.660209e+17     1.000000     0.044333  1.011300e-08  1.740170e-10\n",
       "25%    6.764835e+17     1.000000     0.364412  5.388625e-02  1.622240e-02\n",
       "50%    7.119988e+17     1.000000     0.588230  1.181810e-01  4.944380e-02\n",
       "75%    7.932034e+17     1.000000     0.843855  1.955655e-01  9.180755e-02\n",
       "max    8.924206e+17     4.000000     1.000000  4.880140e-01  2.734190e-01"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_predictions.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>likes</th>\n",
       "      <th>retweet_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2354.000000</td>\n",
       "      <td>2354.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>8080.968564</td>\n",
       "      <td>3164.797366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>11814.771334</td>\n",
       "      <td>5284.770364</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>1415.000000</td>\n",
       "      <td>624.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3603.500000</td>\n",
       "      <td>1473.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>10122.250000</td>\n",
       "      <td>3652.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>132810.000000</td>\n",
       "      <td>79515.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               likes  retweet_count\n",
       "count    2354.000000    2354.000000\n",
       "mean     8080.968564    3164.797366\n",
       "std     11814.771334    5284.770364\n",
       "min         0.000000       0.000000\n",
       "25%      1415.000000     624.500000\n",
       "50%      3603.500000    1473.500000\n",
       "75%     10122.250000    3652.000000\n",
       "max    132810.000000   79515.000000"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "extra_info.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</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>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>32</th>\n",
       "      <td>886054160059072513</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-15 02:45:48 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @Athletics: 12/10 #BATP https://t.co/WxwJmv...</td>\n",
       "      <td>8.860537e+17</td>\n",
       "      <td>1.960740e+07</td>\n",
       "      <td>2017-07-15 02:44:07 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/886053434...</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>36</th>\n",
       "      <td>885311592912609280</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-13 01:35:06 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: This is Lilly. She just paralle...</td>\n",
       "      <td>8.305833e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2017-02-12 01:04:29 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/830583320...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Lilly</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>879130579576475649</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-06-26 00:13:58 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: This is Emmy. She was adopted t...</td>\n",
       "      <td>8.780576e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2017-06-23 01:10:23 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/878057613...</td>\n",
       "      <td>14</td>\n",
       "      <td>10</td>\n",
       "      <td>Emmy</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>878404777348136964</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-06-24 00:09:53 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: Meet Shadow. In an attempt to r...</td>\n",
       "      <td>8.782815e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2017-06-23 16:00:04 +0000</td>\n",
       "      <td>https://www.gofundme.com/3yd6y1c,https://twitt...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Shadow</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>878316110768087041</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-06-23 18:17:33 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: Meet Terrance. He's being yelle...</td>\n",
       "      <td>6.690004e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2015-11-24 03:51:38 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/669000397...</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>Terrance</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>877611172832227328</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-06-21 19:36:23 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @rachel2195: @dog_rates the boyfriend and h...</td>\n",
       "      <td>8.768508e+17</td>\n",
       "      <td>5.128045e+08</td>\n",
       "      <td>2017-06-19 17:14:49 +0000</td>\n",
       "      <td>https://twitter.com/rachel2195/status/87685077...</td>\n",
       "      <td>14</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>874434818259525634</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-06-13 01:14:41 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: This is Coco. At first I though...</td>\n",
       "      <td>8.663350e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2017-05-21 16:48:45 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/866334964...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Coco</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>873697596434513921</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-06-11 00:25:14 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: This is Walter. He won't start ...</td>\n",
       "      <td>8.688804e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2017-05-28 17:23:24 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/868880397...</td>\n",
       "      <td>14</td>\n",
       "      <td>10</td>\n",
       "      <td>Walter</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>873337748698140672</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-06-10 00:35:19 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: This is Sierra. She's one preci...</td>\n",
       "      <td>8.732138e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2017-06-09 16:22:42 +0000</td>\n",
       "      <td>https://www.gofundme.com/help-my-baby-sierra-g...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Sierra</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>872668790621863937</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-06-08 04:17:07 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @loganamnosis: Penelope here is doing me qu...</td>\n",
       "      <td>8.726576e+17</td>\n",
       "      <td>1.547674e+08</td>\n",
       "      <td>2017-06-08 03:32:35 +0000</td>\n",
       "      <td>https://twitter.com/loganamnosis/status/872657...</td>\n",
       "      <td>14</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>109</th>\n",
       "      <td>871166179821445120</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-06-04 00:46:17 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: This is Dawn. She's just checki...</td>\n",
       "      <td>8.410770e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2017-03-13 00:02:39 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/841077006...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Dawn</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>869988702071779329</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-05-31 18:47:24 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: We only rate dogs. This is quit...</td>\n",
       "      <td>8.591970e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2017-05-02 00:04:57 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/859196978...</td>\n",
       "      <td>12</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>124</th>\n",
       "      <td>868639477480148993</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-05-28 01:26:04 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: Say hello to Cooper. His expres...</td>\n",
       "      <td>8.685523e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2017-05-27 19:39:34 +0000</td>\n",
       "      <td>https://www.gofundme.com/3ti3nps,https://twitt...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Cooper</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>867072653475098625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-05-23 17:40:04 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @rachaeleasler: these @dog_rates hats are 1...</td>\n",
       "      <td>8.650134e+17</td>\n",
       "      <td>7.874618e+17</td>\n",
       "      <td>2017-05-18 01:17:25 +0000</td>\n",
       "      <td>https://twitter.com/rachaeleasler/status/86501...</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>132</th>\n",
       "      <td>866816280283807744</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-05-23 00:41:20 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: This is Jamesy. He gives a kiss...</td>\n",
       "      <td>8.664507e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2017-05-22 00:28:40 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/866450705...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Jamesy</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>866094527597207552</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-05-21 00:53:21 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: Here's a pupper before and afte...</td>\n",
       "      <td>8.378202e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2017-03-04 00:21:08 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/837820167...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>863471782782697472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-05-13 19:11:30 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: Say hello to Quinn. She's quite...</td>\n",
       "      <td>8.630625e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2017-05-12 16:05:02 +0000</td>\n",
       "      <td>https://www.gofundme.com/helpquinny,https://tw...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Quinn</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>861769973181624320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-05-09 02:29:07 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: \"Good afternoon class today we'...</td>\n",
       "      <td>8.066291e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2016-12-07 22:38:52 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/806629075...</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>159</th>\n",
       "      <td>860981674716409858</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-05-06 22:16:42 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: Meet Lorenzo. He's an avid nift...</td>\n",
       "      <td>8.605638e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2017-05-05 18:36:06 +0000</td>\n",
       "      <td>https://www.gofundme.com/help-lorenzo-beat-can...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Lorenzo</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>860924035999428608</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-05-06 18:27:40 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @tallylott: h*ckin adorable promposal. 13/1...</td>\n",
       "      <td>8.609145e+17</td>\n",
       "      <td>3.638908e+08</td>\n",
       "      <td>2017-05-06 17:49:42 +0000</td>\n",
       "      <td>https://twitter.com/tallylott/status/860914485...</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>165</th>\n",
       "      <td>860177593139703809</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-05-04 17:01:34 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: Ohboyohboyohboyohboyohboyohboyo...</td>\n",
       "      <td>7.616730e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2016-08-05 21:19:27 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/761672994...</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>171</th>\n",
       "      <td>858860390427611136</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-05-01 01:47:28 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: Meet Winston. He knows he's a l...</td>\n",
       "      <td>8.395493e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2017-03-08 18:52:12 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/839549326...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Winston</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>857062103051644929</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-04-26 02:41:43 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @AaronChewning: First time wearing my @dog_...</td>\n",
       "      <td>8.570611e+17</td>\n",
       "      <td>5.870972e+07</td>\n",
       "      <td>2017-04-26 02:37:47 +0000</td>\n",
       "      <td>https://twitter.com/AaronChewning/status/85706...</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>182</th>\n",
       "      <td>856602993587888130</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-04-24 20:17:23 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: This is Luna. It's her first ti...</td>\n",
       "      <td>8.447048e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2017-03-23 00:18:10 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/844704788...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Luna</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>856330835276025856</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-04-24 02:15:55 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @Jenna_Marbles: @dog_rates Thanks for ratin...</td>\n",
       "      <td>8.563302e+17</td>\n",
       "      <td>6.669901e+07</td>\n",
       "      <td>2017-04-24 02:13:14 +0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</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>194</th>\n",
       "      <td>855245323840757760</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-04-21 02:22:29 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: Meet George. He looks slightly ...</td>\n",
       "      <td>8.421635e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2017-03-16 00:00:07 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/842163532...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>George</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>855138241867124737</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-04-20 19:16:59 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @frasercampbell_: oh my... what's that... b...</td>\n",
       "      <td>8.551225e+17</td>\n",
       "      <td>7.475543e+17</td>\n",
       "      <td>2017-04-20 18:14:33 +0000</td>\n",
       "      <td>https://twitter.com/frasercampbell_/status/855...</td>\n",
       "      <td>14</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>204</th>\n",
       "      <td>852936405516943360</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-04-14 17:27:40 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: I usually only share these on F...</td>\n",
       "      <td>8.316501e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2017-02-14 23:43:18 +0000</td>\n",
       "      <td>http://www.gofundme.com/bluethewhitehusky,http...</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>211</th>\n",
       "      <td>851953902622658560</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-04-12 00:23:33 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: This is Astrid. She's a guide d...</td>\n",
       "      <td>8.293743e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2017-02-08 17:00:26 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/829374341...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Astrid</td>\n",
       "      <td>doggo</td>\n",
       "      <td>None</td>\n",
       "      <td>None</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>784</th>\n",
       "      <td>775096608509886464</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-09-11 22:20:06 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: After so many requests, this is...</td>\n",
       "      <td>7.403732e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2016-06-08 02:41:38 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/740373189...</td>\n",
       "      <td>9</td>\n",
       "      <td>11</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>794</th>\n",
       "      <td>773336787167145985</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-09-07 01:47:12 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: Meet Fizz. She thinks love is a...</td>\n",
       "      <td>7.713808e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2016-09-01 16:14:48 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/771380798...</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>Fizz</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>800</th>\n",
       "      <td>772615324260794368</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-09-05 02:00:22 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: This is Gromit. He's pupset bec...</td>\n",
       "      <td>7.652221e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2016-08-15 16:22:20 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/765222098...</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>Gromit</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>811</th>\n",
       "      <td>771171053431250945</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-09-01 02:21:21 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: This is Frankie. He's wearing b...</td>\n",
       "      <td>6.733201e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2015-12-06 01:56:44 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/673320132...</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>Frankie</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>815</th>\n",
       "      <td>771004394259247104</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-08-31 15:19:06 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @katieornah: @dog_rates learning a lot at c...</td>\n",
       "      <td>7.710021e+17</td>\n",
       "      <td>1.732729e+09</td>\n",
       "      <td>2016-08-31 15:10:07 +0000</td>\n",
       "      <td>https://twitter.com/katieornah/status/77100213...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>818</th>\n",
       "      <td>770743923962707968</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-08-30 22:04:05 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: Here's a doggo blowing bubbles....</td>\n",
       "      <td>7.392382e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2016-06-04 23:31:25 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/739238157...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>doggo</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>822</th>\n",
       "      <td>770093767776997377</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-08-29 03:00:36 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: This is just downright precious...</td>\n",
       "      <td>7.410673e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2016-06-10 00:39:48 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/741067306...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>just</td>\n",
       "      <td>doggo</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>826</th>\n",
       "      <td>769335591808995329</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-08-27 00:47:53 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: Ever seen a dog pet another dog...</td>\n",
       "      <td>7.069045e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2016-03-07 18:09:06 +0000</td>\n",
       "      <td>https://vine.co/v/iXQAm5Lrgrh,https://vine.co/...</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>829</th>\n",
       "      <td>768909767477751808</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-08-25 20:35:48 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: When it's Janet from accounting...</td>\n",
       "      <td>7.001438e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2016-02-18 02:24:13 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/700143752...</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>833</th>\n",
       "      <td>768554158521745409</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-08-24 21:02:45 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: This is Nollie. She's waving at...</td>\n",
       "      <td>7.399792e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2016-06-07 00:36:02 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/739979191...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Nollie</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>841</th>\n",
       "      <td>766864461642756096</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-08-20 05:08:29 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: We only rate dogs... this is a ...</td>\n",
       "      <td>7.599238e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2016-08-01 01:28:46 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/759923798...</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>847</th>\n",
       "      <td>766078092750233600</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-08-18 01:03:45 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: This is Colby. He's currently r...</td>\n",
       "      <td>7.258423e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2016-04-29 00:21:01 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/725842289...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Colby</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>860</th>\n",
       "      <td>763167063695355904</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-08-10 00:16:21 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: Meet Eve. She's a raging alcoho...</td>\n",
       "      <td>6.732953e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2015-12-06 00:17:55 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/673295268...</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>Eve</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>868</th>\n",
       "      <td>761750502866649088</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-08-06 02:27:27 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: \"Tristan do not speak to me wit...</td>\n",
       "      <td>6.853251e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2016-01-08 05:00:14 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/685325112...</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>872</th>\n",
       "      <td>761371037149827077</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-08-05 01:19:35 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: Oh. My. God. 13/10 magical af h...</td>\n",
       "      <td>7.116948e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2016-03-20 23:23:54 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/711694788...</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>885</th>\n",
       "      <td>760153949710192640</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-08-01 16:43:19 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @hownottodraw: The story/person behind @dog...</td>\n",
       "      <td>7.601538e+17</td>\n",
       "      <td>1.950368e+08</td>\n",
       "      <td>2016-08-01 16:42:51 +0000</td>\n",
       "      <td>https://weratedogs.com/pages/about-us,https://...</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>890</th>\n",
       "      <td>759566828574212096</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-07-31 01:50:18 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: This... is a Tyrannosaurus rex....</td>\n",
       "      <td>7.395441e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2016-06-05 19:47:03 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/739544079...</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>895</th>\n",
       "      <td>759159934323924993</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-07-29 22:53:27 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: AT DAWN...\\nWE RIDE\\n\\n11/10 ht...</td>\n",
       "      <td>6.703191e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2015-11-27 19:11:49 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/670319130...</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>908</th>\n",
       "      <td>757729163776290825</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-07-26 00:08:05 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: This is Chompsky. He lives up t...</td>\n",
       "      <td>6.790626e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2015-12-21 22:15:18 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/679062614...</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>Chompsky</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>911</th>\n",
       "      <td>757597904299253760</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-07-25 15:26:30 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @jon_hill987: @dog_rates There is a cunning...</td>\n",
       "      <td>7.575971e+17</td>\n",
       "      <td>2.804798e+08</td>\n",
       "      <td>2016-07-25 15:23:28 +0000</td>\n",
       "      <td>https://twitter.com/jon_hill987/status/7575971...</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>926</th>\n",
       "      <td>754874841593970688</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-07-18 03:06:01 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: This is Rubio. He has too much ...</td>\n",
       "      <td>6.791584e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2015-12-22 04:35:49 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/679158373...</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>Rubio</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>937</th>\n",
       "      <td>753298634498793472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-07-13 18:42:44 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: This is Carly. She's actually 2...</td>\n",
       "      <td>6.815232e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2015-12-28 17:12:42 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/681523177...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Carly</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>943</th>\n",
       "      <td>752701944171524096</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-07-12 03:11:42 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: HEY PUP WHAT'S THE PART OF THE ...</td>\n",
       "      <td>6.835159e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2016-01-03 05:11:12 +0000</td>\n",
       "      <td>https://vine.co/v/ibvnzrauFuV,https://vine.co/...</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>949</th>\n",
       "      <td>752309394570878976</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-07-11 01:11:51 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: Everyone needs to watch this. 1...</td>\n",
       "      <td>6.753544e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2015-12-11 16:40:19 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/675354435...</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>1012</th>\n",
       "      <td>747242308580548608</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-06-27 01:37:04 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: This pupper killed this great w...</td>\n",
       "      <td>7.047611e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2016-03-01 20:11:59 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/704761120...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1023</th>\n",
       "      <td>746521445350707200</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-06-25 01:52:36 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: This is Shaggy. He knows exactl...</td>\n",
       "      <td>6.678667e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2015-11-21 00:46:50 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/667866724...</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>Shaggy</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1043</th>\n",
       "      <td>743835915802583040</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-06-17 16:01:16 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: Extremely intelligent dog here....</td>\n",
       "      <td>6.671383e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2015-11-19 00:32:12 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/667138269...</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>1242</th>\n",
       "      <td>711998809858043904</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-03-21 19:31:59 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @twitter: @dog_rates Awesome Tweet! 12/10. ...</td>\n",
       "      <td>7.119983e+17</td>\n",
       "      <td>7.832140e+05</td>\n",
       "      <td>2016-03-21 19:29:52 +0000</td>\n",
       "      <td>https://twitter.com/twitter/status/71199827977...</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>2259</th>\n",
       "      <td>667550904950915073</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-20 03:51:52 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
       "      <td>RT @dogratingrating: Exceptional talent. Origi...</td>\n",
       "      <td>6.675487e+17</td>\n",
       "      <td>4.296832e+09</td>\n",
       "      <td>2015-11-20 03:43:06 +0000</td>\n",
       "      <td>https://twitter.com/dogratingrating/status/667...</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>2260</th>\n",
       "      <td>667550882905632768</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-20 03:51:47 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
       "      <td>RT @dogratingrating: Unoriginal idea. Blatant ...</td>\n",
       "      <td>6.675484e+17</td>\n",
       "      <td>4.296832e+09</td>\n",
       "      <td>2015-11-20 03:41:59 +0000</td>\n",
       "      <td>https://twitter.com/dogratingrating/status/667...</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",
       "  </tbody>\n",
       "</table>\n",
       "<p>181 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id  in_reply_to_status_id  in_reply_to_user_id  \\\n",
       "19    888202515573088257                    NaN                  NaN   \n",
       "32    886054160059072513                    NaN                  NaN   \n",
       "36    885311592912609280                    NaN                  NaN   \n",
       "68    879130579576475649                    NaN                  NaN   \n",
       "73    878404777348136964                    NaN                  NaN   \n",
       "74    878316110768087041                    NaN                  NaN   \n",
       "78    877611172832227328                    NaN                  NaN   \n",
       "91    874434818259525634                    NaN                  NaN   \n",
       "95    873697596434513921                    NaN                  NaN   \n",
       "97    873337748698140672                    NaN                  NaN   \n",
       "101   872668790621863937                    NaN                  NaN   \n",
       "109   871166179821445120                    NaN                  NaN   \n",
       "118   869988702071779329                    NaN                  NaN   \n",
       "124   868639477480148993                    NaN                  NaN   \n",
       "130   867072653475098625                    NaN                  NaN   \n",
       "132   866816280283807744                    NaN                  NaN   \n",
       "137   866094527597207552                    NaN                  NaN   \n",
       "146   863471782782697472                    NaN                  NaN   \n",
       "155   861769973181624320                    NaN                  NaN   \n",
       "159   860981674716409858                    NaN                  NaN   \n",
       "160   860924035999428608                    NaN                  NaN   \n",
       "165   860177593139703809                    NaN                  NaN   \n",
       "171   858860390427611136                    NaN                  NaN   \n",
       "180   857062103051644929                    NaN                  NaN   \n",
       "182   856602993587888130                    NaN                  NaN   \n",
       "185   856330835276025856                    NaN                  NaN   \n",
       "194   855245323840757760                    NaN                  NaN   \n",
       "195   855138241867124737                    NaN                  NaN   \n",
       "204   852936405516943360                    NaN                  NaN   \n",
       "211   851953902622658560                    NaN                  NaN   \n",
       "...                  ...                    ...                  ...   \n",
       "784   775096608509886464                    NaN                  NaN   \n",
       "794   773336787167145985                    NaN                  NaN   \n",
       "800   772615324260794368                    NaN                  NaN   \n",
       "811   771171053431250945                    NaN                  NaN   \n",
       "815   771004394259247104                    NaN                  NaN   \n",
       "818   770743923962707968                    NaN                  NaN   \n",
       "822   770093767776997377                    NaN                  NaN   \n",
       "826   769335591808995329                    NaN                  NaN   \n",
       "829   768909767477751808                    NaN                  NaN   \n",
       "833   768554158521745409                    NaN                  NaN   \n",
       "841   766864461642756096                    NaN                  NaN   \n",
       "847   766078092750233600                    NaN                  NaN   \n",
       "860   763167063695355904                    NaN                  NaN   \n",
       "868   761750502866649088                    NaN                  NaN   \n",
       "872   761371037149827077                    NaN                  NaN   \n",
       "885   760153949710192640                    NaN                  NaN   \n",
       "890   759566828574212096                    NaN                  NaN   \n",
       "895   759159934323924993                    NaN                  NaN   \n",
       "908   757729163776290825                    NaN                  NaN   \n",
       "911   757597904299253760                    NaN                  NaN   \n",
       "926   754874841593970688                    NaN                  NaN   \n",
       "937   753298634498793472                    NaN                  NaN   \n",
       "943   752701944171524096                    NaN                  NaN   \n",
       "949   752309394570878976                    NaN                  NaN   \n",
       "1012  747242308580548608                    NaN                  NaN   \n",
       "1023  746521445350707200                    NaN                  NaN   \n",
       "1043  743835915802583040                    NaN                  NaN   \n",
       "1242  711998809858043904                    NaN                  NaN   \n",
       "2259  667550904950915073                    NaN                  NaN   \n",
       "2260  667550882905632768                    NaN                  NaN   \n",
       "\n",
       "                      timestamp  \\\n",
       "19    2017-07-21 01:02:36 +0000   \n",
       "32    2017-07-15 02:45:48 +0000   \n",
       "36    2017-07-13 01:35:06 +0000   \n",
       "68    2017-06-26 00:13:58 +0000   \n",
       "73    2017-06-24 00:09:53 +0000   \n",
       "74    2017-06-23 18:17:33 +0000   \n",
       "78    2017-06-21 19:36:23 +0000   \n",
       "91    2017-06-13 01:14:41 +0000   \n",
       "95    2017-06-11 00:25:14 +0000   \n",
       "97    2017-06-10 00:35:19 +0000   \n",
       "101   2017-06-08 04:17:07 +0000   \n",
       "109   2017-06-04 00:46:17 +0000   \n",
       "118   2017-05-31 18:47:24 +0000   \n",
       "124   2017-05-28 01:26:04 +0000   \n",
       "130   2017-05-23 17:40:04 +0000   \n",
       "132   2017-05-23 00:41:20 +0000   \n",
       "137   2017-05-21 00:53:21 +0000   \n",
       "146   2017-05-13 19:11:30 +0000   \n",
       "155   2017-05-09 02:29:07 +0000   \n",
       "159   2017-05-06 22:16:42 +0000   \n",
       "160   2017-05-06 18:27:40 +0000   \n",
       "165   2017-05-04 17:01:34 +0000   \n",
       "171   2017-05-01 01:47:28 +0000   \n",
       "180   2017-04-26 02:41:43 +0000   \n",
       "182   2017-04-24 20:17:23 +0000   \n",
       "185   2017-04-24 02:15:55 +0000   \n",
       "194   2017-04-21 02:22:29 +0000   \n",
       "195   2017-04-20 19:16:59 +0000   \n",
       "204   2017-04-14 17:27:40 +0000   \n",
       "211   2017-04-12 00:23:33 +0000   \n",
       "...                         ...   \n",
       "784   2016-09-11 22:20:06 +0000   \n",
       "794   2016-09-07 01:47:12 +0000   \n",
       "800   2016-09-05 02:00:22 +0000   \n",
       "811   2016-09-01 02:21:21 +0000   \n",
       "815   2016-08-31 15:19:06 +0000   \n",
       "818   2016-08-30 22:04:05 +0000   \n",
       "822   2016-08-29 03:00:36 +0000   \n",
       "826   2016-08-27 00:47:53 +0000   \n",
       "829   2016-08-25 20:35:48 +0000   \n",
       "833   2016-08-24 21:02:45 +0000   \n",
       "841   2016-08-20 05:08:29 +0000   \n",
       "847   2016-08-18 01:03:45 +0000   \n",
       "860   2016-08-10 00:16:21 +0000   \n",
       "868   2016-08-06 02:27:27 +0000   \n",
       "872   2016-08-05 01:19:35 +0000   \n",
       "885   2016-08-01 16:43:19 +0000   \n",
       "890   2016-07-31 01:50:18 +0000   \n",
       "895   2016-07-29 22:53:27 +0000   \n",
       "908   2016-07-26 00:08:05 +0000   \n",
       "911   2016-07-25 15:26:30 +0000   \n",
       "926   2016-07-18 03:06:01 +0000   \n",
       "937   2016-07-13 18:42:44 +0000   \n",
       "943   2016-07-12 03:11:42 +0000   \n",
       "949   2016-07-11 01:11:51 +0000   \n",
       "1012  2016-06-27 01:37:04 +0000   \n",
       "1023  2016-06-25 01:52:36 +0000   \n",
       "1043  2016-06-17 16:01:16 +0000   \n",
       "1242  2016-03-21 19:31:59 +0000   \n",
       "2259  2015-11-20 03:51:52 +0000   \n",
       "2260  2015-11-20 03:51:47 +0000   \n",
       "\n",
       "                                                 source  \\\n",
       "19    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "32    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "36    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "68    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "73    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "74    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "78    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "91    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "95    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "97    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "101   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "109   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "118   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "124   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "130   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "132   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "137   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "146   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "155   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "159   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "160   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "165   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "171   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "180   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "182   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "185   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "194   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "195   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "204   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "211   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "...                                                 ...   \n",
       "784   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "794   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "800   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "811   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "815   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "818   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "822   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "826   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "829   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "833   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "841   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "847   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "860   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "868   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "872   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "885   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "890   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "895   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "908   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "911   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "926   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "937   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "943   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "949   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "1012  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "1023  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "1043  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "1242  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2259  <a href=\"http://twitter.com\" rel=\"nofollow\">Tw...   \n",
       "2260  <a href=\"http://twitter.com\" rel=\"nofollow\">Tw...   \n",
       "\n",
       "                                                   text  retweeted_status_id  \\\n",
       "19    RT @dog_rates: This is Canela. She attempted s...         8.874740e+17   \n",
       "32    RT @Athletics: 12/10 #BATP https://t.co/WxwJmv...         8.860537e+17   \n",
       "36    RT @dog_rates: This is Lilly. She just paralle...         8.305833e+17   \n",
       "68    RT @dog_rates: This is Emmy. She was adopted t...         8.780576e+17   \n",
       "73    RT @dog_rates: Meet Shadow. In an attempt to r...         8.782815e+17   \n",
       "74    RT @dog_rates: Meet Terrance. He's being yelle...         6.690004e+17   \n",
       "78    RT @rachel2195: @dog_rates the boyfriend and h...         8.768508e+17   \n",
       "91    RT @dog_rates: This is Coco. At first I though...         8.663350e+17   \n",
       "95    RT @dog_rates: This is Walter. He won't start ...         8.688804e+17   \n",
       "97    RT @dog_rates: This is Sierra. She's one preci...         8.732138e+17   \n",
       "101   RT @loganamnosis: Penelope here is doing me qu...         8.726576e+17   \n",
       "109   RT @dog_rates: This is Dawn. She's just checki...         8.410770e+17   \n",
       "118   RT @dog_rates: We only rate dogs. This is quit...         8.591970e+17   \n",
       "124   RT @dog_rates: Say hello to Cooper. His expres...         8.685523e+17   \n",
       "130   RT @rachaeleasler: these @dog_rates hats are 1...         8.650134e+17   \n",
       "132   RT @dog_rates: This is Jamesy. He gives a kiss...         8.664507e+17   \n",
       "137   RT @dog_rates: Here's a pupper before and afte...         8.378202e+17   \n",
       "146   RT @dog_rates: Say hello to Quinn. She's quite...         8.630625e+17   \n",
       "155   RT @dog_rates: \"Good afternoon class today we'...         8.066291e+17   \n",
       "159   RT @dog_rates: Meet Lorenzo. He's an avid nift...         8.605638e+17   \n",
       "160   RT @tallylott: h*ckin adorable promposal. 13/1...         8.609145e+17   \n",
       "165   RT @dog_rates: Ohboyohboyohboyohboyohboyohboyo...         7.616730e+17   \n",
       "171   RT @dog_rates: Meet Winston. He knows he's a l...         8.395493e+17   \n",
       "180   RT @AaronChewning: First time wearing my @dog_...         8.570611e+17   \n",
       "182   RT @dog_rates: This is Luna. It's her first ti...         8.447048e+17   \n",
       "185   RT @Jenna_Marbles: @dog_rates Thanks for ratin...         8.563302e+17   \n",
       "194   RT @dog_rates: Meet George. He looks slightly ...         8.421635e+17   \n",
       "195   RT @frasercampbell_: oh my... what's that... b...         8.551225e+17   \n",
       "204   RT @dog_rates: I usually only share these on F...         8.316501e+17   \n",
       "211   RT @dog_rates: This is Astrid. She's a guide d...         8.293743e+17   \n",
       "...                                                 ...                  ...   \n",
       "784   RT @dog_rates: After so many requests, this is...         7.403732e+17   \n",
       "794   RT @dog_rates: Meet Fizz. She thinks love is a...         7.713808e+17   \n",
       "800   RT @dog_rates: This is Gromit. He's pupset bec...         7.652221e+17   \n",
       "811   RT @dog_rates: This is Frankie. He's wearing b...         6.733201e+17   \n",
       "815   RT @katieornah: @dog_rates learning a lot at c...         7.710021e+17   \n",
       "818   RT @dog_rates: Here's a doggo blowing bubbles....         7.392382e+17   \n",
       "822   RT @dog_rates: This is just downright precious...         7.410673e+17   \n",
       "826   RT @dog_rates: Ever seen a dog pet another dog...         7.069045e+17   \n",
       "829   RT @dog_rates: When it's Janet from accounting...         7.001438e+17   \n",
       "833   RT @dog_rates: This is Nollie. She's waving at...         7.399792e+17   \n",
       "841   RT @dog_rates: We only rate dogs... this is a ...         7.599238e+17   \n",
       "847   RT @dog_rates: This is Colby. He's currently r...         7.258423e+17   \n",
       "860   RT @dog_rates: Meet Eve. She's a raging alcoho...         6.732953e+17   \n",
       "868   RT @dog_rates: \"Tristan do not speak to me wit...         6.853251e+17   \n",
       "872   RT @dog_rates: Oh. My. God. 13/10 magical af h...         7.116948e+17   \n",
       "885   RT @hownottodraw: The story/person behind @dog...         7.601538e+17   \n",
       "890   RT @dog_rates: This... is a Tyrannosaurus rex....         7.395441e+17   \n",
       "895   RT @dog_rates: AT DAWN...\\nWE RIDE\\n\\n11/10 ht...         6.703191e+17   \n",
       "908   RT @dog_rates: This is Chompsky. He lives up t...         6.790626e+17   \n",
       "911   RT @jon_hill987: @dog_rates There is a cunning...         7.575971e+17   \n",
       "926   RT @dog_rates: This is Rubio. He has too much ...         6.791584e+17   \n",
       "937   RT @dog_rates: This is Carly. She's actually 2...         6.815232e+17   \n",
       "943   RT @dog_rates: HEY PUP WHAT'S THE PART OF THE ...         6.835159e+17   \n",
       "949   RT @dog_rates: Everyone needs to watch this. 1...         6.753544e+17   \n",
       "1012  RT @dog_rates: This pupper killed this great w...         7.047611e+17   \n",
       "1023  RT @dog_rates: This is Shaggy. He knows exactl...         6.678667e+17   \n",
       "1043  RT @dog_rates: Extremely intelligent dog here....         6.671383e+17   \n",
       "1242  RT @twitter: @dog_rates Awesome Tweet! 12/10. ...         7.119983e+17   \n",
       "2259  RT @dogratingrating: Exceptional talent. Origi...         6.675487e+17   \n",
       "2260  RT @dogratingrating: Unoriginal idea. Blatant ...         6.675484e+17   \n",
       "\n",
       "      retweeted_status_user_id retweeted_status_timestamp  \\\n",
       "19                4.196984e+09  2017-07-19 00:47:34 +0000   \n",
       "32                1.960740e+07  2017-07-15 02:44:07 +0000   \n",
       "36                4.196984e+09  2017-02-12 01:04:29 +0000   \n",
       "68                4.196984e+09  2017-06-23 01:10:23 +0000   \n",
       "73                4.196984e+09  2017-06-23 16:00:04 +0000   \n",
       "74                4.196984e+09  2015-11-24 03:51:38 +0000   \n",
       "78                5.128045e+08  2017-06-19 17:14:49 +0000   \n",
       "91                4.196984e+09  2017-05-21 16:48:45 +0000   \n",
       "95                4.196984e+09  2017-05-28 17:23:24 +0000   \n",
       "97                4.196984e+09  2017-06-09 16:22:42 +0000   \n",
       "101               1.547674e+08  2017-06-08 03:32:35 +0000   \n",
       "109               4.196984e+09  2017-03-13 00:02:39 +0000   \n",
       "118               4.196984e+09  2017-05-02 00:04:57 +0000   \n",
       "124               4.196984e+09  2017-05-27 19:39:34 +0000   \n",
       "130               7.874618e+17  2017-05-18 01:17:25 +0000   \n",
       "132               4.196984e+09  2017-05-22 00:28:40 +0000   \n",
       "137               4.196984e+09  2017-03-04 00:21:08 +0000   \n",
       "146               4.196984e+09  2017-05-12 16:05:02 +0000   \n",
       "155               4.196984e+09  2016-12-07 22:38:52 +0000   \n",
       "159               4.196984e+09  2017-05-05 18:36:06 +0000   \n",
       "160               3.638908e+08  2017-05-06 17:49:42 +0000   \n",
       "165               4.196984e+09  2016-08-05 21:19:27 +0000   \n",
       "171               4.196984e+09  2017-03-08 18:52:12 +0000   \n",
       "180               5.870972e+07  2017-04-26 02:37:47 +0000   \n",
       "182               4.196984e+09  2017-03-23 00:18:10 +0000   \n",
       "185               6.669901e+07  2017-04-24 02:13:14 +0000   \n",
       "194               4.196984e+09  2017-03-16 00:00:07 +0000   \n",
       "195               7.475543e+17  2017-04-20 18:14:33 +0000   \n",
       "204               4.196984e+09  2017-02-14 23:43:18 +0000   \n",
       "211               4.196984e+09  2017-02-08 17:00:26 +0000   \n",
       "...                        ...                        ...   \n",
       "784               4.196984e+09  2016-06-08 02:41:38 +0000   \n",
       "794               4.196984e+09  2016-09-01 16:14:48 +0000   \n",
       "800               4.196984e+09  2016-08-15 16:22:20 +0000   \n",
       "811               4.196984e+09  2015-12-06 01:56:44 +0000   \n",
       "815               1.732729e+09  2016-08-31 15:10:07 +0000   \n",
       "818               4.196984e+09  2016-06-04 23:31:25 +0000   \n",
       "822               4.196984e+09  2016-06-10 00:39:48 +0000   \n",
       "826               4.196984e+09  2016-03-07 18:09:06 +0000   \n",
       "829               4.196984e+09  2016-02-18 02:24:13 +0000   \n",
       "833               4.196984e+09  2016-06-07 00:36:02 +0000   \n",
       "841               4.196984e+09  2016-08-01 01:28:46 +0000   \n",
       "847               4.196984e+09  2016-04-29 00:21:01 +0000   \n",
       "860               4.196984e+09  2015-12-06 00:17:55 +0000   \n",
       "868               4.196984e+09  2016-01-08 05:00:14 +0000   \n",
       "872               4.196984e+09  2016-03-20 23:23:54 +0000   \n",
       "885               1.950368e+08  2016-08-01 16:42:51 +0000   \n",
       "890               4.196984e+09  2016-06-05 19:47:03 +0000   \n",
       "895               4.196984e+09  2015-11-27 19:11:49 +0000   \n",
       "908               4.196984e+09  2015-12-21 22:15:18 +0000   \n",
       "911               2.804798e+08  2016-07-25 15:23:28 +0000   \n",
       "926               4.196984e+09  2015-12-22 04:35:49 +0000   \n",
       "937               4.196984e+09  2015-12-28 17:12:42 +0000   \n",
       "943               4.196984e+09  2016-01-03 05:11:12 +0000   \n",
       "949               4.196984e+09  2015-12-11 16:40:19 +0000   \n",
       "1012              4.196984e+09  2016-03-01 20:11:59 +0000   \n",
       "1023              4.196984e+09  2015-11-21 00:46:50 +0000   \n",
       "1043              4.196984e+09  2015-11-19 00:32:12 +0000   \n",
       "1242              7.832140e+05  2016-03-21 19:29:52 +0000   \n",
       "2259              4.296832e+09  2015-11-20 03:43:06 +0000   \n",
       "2260              4.296832e+09  2015-11-20 03:41:59 +0000   \n",
       "\n",
       "                                          expanded_urls  rating_numerator  \\\n",
       "19    https://twitter.com/dog_rates/status/887473957...                13   \n",
       "32    https://twitter.com/dog_rates/status/886053434...                12   \n",
       "36    https://twitter.com/dog_rates/status/830583320...                13   \n",
       "68    https://twitter.com/dog_rates/status/878057613...                14   \n",
       "73    https://www.gofundme.com/3yd6y1c,https://twitt...                13   \n",
       "74    https://twitter.com/dog_rates/status/669000397...                11   \n",
       "78    https://twitter.com/rachel2195/status/87685077...                14   \n",
       "91    https://twitter.com/dog_rates/status/866334964...                12   \n",
       "95    https://twitter.com/dog_rates/status/868880397...                14   \n",
       "97    https://www.gofundme.com/help-my-baby-sierra-g...                12   \n",
       "101   https://twitter.com/loganamnosis/status/872657...                14   \n",
       "109   https://twitter.com/dog_rates/status/841077006...                12   \n",
       "118   https://twitter.com/dog_rates/status/859196978...                12   \n",
       "124   https://www.gofundme.com/3ti3nps,https://twitt...                12   \n",
       "130   https://twitter.com/rachaeleasler/status/86501...                13   \n",
       "132   https://twitter.com/dog_rates/status/866450705...                13   \n",
       "137   https://twitter.com/dog_rates/status/837820167...                12   \n",
       "146   https://www.gofundme.com/helpquinny,https://tw...                13   \n",
       "155   https://twitter.com/dog_rates/status/806629075...                13   \n",
       "159   https://www.gofundme.com/help-lorenzo-beat-can...                13   \n",
       "160   https://twitter.com/tallylott/status/860914485...                13   \n",
       "165   https://twitter.com/dog_rates/status/761672994...                10   \n",
       "171   https://twitter.com/dog_rates/status/839549326...                12   \n",
       "180   https://twitter.com/AaronChewning/status/85706...                13   \n",
       "182   https://twitter.com/dog_rates/status/844704788...                13   \n",
       "185                                                 NaN                14   \n",
       "194   https://twitter.com/dog_rates/status/842163532...                12   \n",
       "195   https://twitter.com/frasercampbell_/status/855...                14   \n",
       "204   http://www.gofundme.com/bluethewhitehusky,http...                13   \n",
       "211   https://twitter.com/dog_rates/status/829374341...                13   \n",
       "...                                                 ...               ...   \n",
       "784   https://twitter.com/dog_rates/status/740373189...                 9   \n",
       "794   https://twitter.com/dog_rates/status/771380798...                11   \n",
       "800   https://twitter.com/dog_rates/status/765222098...                10   \n",
       "811   https://twitter.com/dog_rates/status/673320132...                11   \n",
       "815   https://twitter.com/katieornah/status/77100213...                12   \n",
       "818   https://twitter.com/dog_rates/status/739238157...                13   \n",
       "822   https://twitter.com/dog_rates/status/741067306...                12   \n",
       "826   https://vine.co/v/iXQAm5Lrgrh,https://vine.co/...                13   \n",
       "829   https://twitter.com/dog_rates/status/700143752...                10   \n",
       "833   https://twitter.com/dog_rates/status/739979191...                12   \n",
       "841   https://twitter.com/dog_rates/status/759923798...                10   \n",
       "847   https://twitter.com/dog_rates/status/725842289...                12   \n",
       "860   https://twitter.com/dog_rates/status/673295268...                 8   \n",
       "868   https://twitter.com/dog_rates/status/685325112...                10   \n",
       "872   https://twitter.com/dog_rates/status/711694788...                13   \n",
       "885   https://weratedogs.com/pages/about-us,https://...                11   \n",
       "890   https://twitter.com/dog_rates/status/739544079...                10   \n",
       "895   https://twitter.com/dog_rates/status/670319130...                11   \n",
       "908   https://twitter.com/dog_rates/status/679062614...                11   \n",
       "911   https://twitter.com/jon_hill987/status/7575971...                11   \n",
       "926   https://twitter.com/dog_rates/status/679158373...                11   \n",
       "937   https://twitter.com/dog_rates/status/681523177...                12   \n",
       "943   https://vine.co/v/ibvnzrauFuV,https://vine.co/...                11   \n",
       "949   https://twitter.com/dog_rates/status/675354435...                13   \n",
       "1012  https://twitter.com/dog_rates/status/704761120...                13   \n",
       "1023  https://twitter.com/dog_rates/status/667866724...                10   \n",
       "1043  https://twitter.com/dog_rates/status/667138269...                10   \n",
       "1242  https://twitter.com/twitter/status/71199827977...                12   \n",
       "2259  https://twitter.com/dogratingrating/status/667...                12   \n",
       "2260  https://twitter.com/dogratingrating/status/667...                 5   \n",
       "\n",
       "      rating_denominator      name  doggo floofer  pupper puppo  \n",
       "19                    10    Canela   None    None    None  None  \n",
       "32                    10      None   None    None    None  None  \n",
       "36                    10     Lilly   None    None    None  None  \n",
       "68                    10      Emmy   None    None    None  None  \n",
       "73                    10    Shadow   None    None    None  None  \n",
       "74                    10  Terrance   None    None    None  None  \n",
       "78                    10      None   None    None  pupper  None  \n",
       "91                    10      Coco   None    None    None  None  \n",
       "95                    10    Walter   None    None    None  None  \n",
       "97                    10    Sierra   None    None  pupper  None  \n",
       "101                   10      None   None    None    None  None  \n",
       "109                   10      Dawn   None    None    None  None  \n",
       "118                   10     quite   None    None    None  None  \n",
       "124                   10    Cooper   None    None    None  None  \n",
       "130                   10      None   None    None    None  None  \n",
       "132                   10    Jamesy   None    None  pupper  None  \n",
       "137                   10      None   None    None  pupper  None  \n",
       "146                   10     Quinn   None    None    None  None  \n",
       "155                   10      None   None    None    None  None  \n",
       "159                   10   Lorenzo   None    None    None  None  \n",
       "160                   10      None   None    None    None  None  \n",
       "165                   10      None   None    None    None  None  \n",
       "171                   10   Winston   None    None    None  None  \n",
       "180                   10      None   None    None    None  None  \n",
       "182                   10      Luna   None    None    None  None  \n",
       "185                   10      None   None    None    None  None  \n",
       "194                   10    George   None    None    None  None  \n",
       "195                   10      None   None    None    None  None  \n",
       "204                   10      None   None    None    None  None  \n",
       "211                   10    Astrid  doggo    None    None  None  \n",
       "...                  ...       ...    ...     ...     ...   ...  \n",
       "784                   11      None   None    None    None  None  \n",
       "794                   10      Fizz   None    None    None  None  \n",
       "800                   10    Gromit   None    None    None  None  \n",
       "811                   10   Frankie   None    None    None  None  \n",
       "815                   10      None   None    None  pupper  None  \n",
       "818                   10      None  doggo    None    None  None  \n",
       "822                   10      just  doggo    None  pupper  None  \n",
       "826                   10      None   None    None    None  None  \n",
       "829                   10      None   None    None  pupper  None  \n",
       "833                   10    Nollie   None    None    None  None  \n",
       "841                   10      None   None    None    None  None  \n",
       "847                   10     Colby   None    None    None  None  \n",
       "860                   10       Eve   None    None  pupper  None  \n",
       "868                   10      None   None    None    None  None  \n",
       "872                   10      None   None    None    None  None  \n",
       "885                   10      None   None    None    None  None  \n",
       "890                   10      None   None    None    None  None  \n",
       "895                   10      None   None    None    None  None  \n",
       "908                   10  Chompsky   None    None    None  None  \n",
       "911                   10      None   None    None  pupper  None  \n",
       "926                   10     Rubio   None    None    None  None  \n",
       "937                   10     Carly   None    None    None  None  \n",
       "943                   10      None   None    None    None  None  \n",
       "949                   10      None   None    None    None  None  \n",
       "1012                  10      None   None    None  pupper  None  \n",
       "1023                  10    Shaggy   None    None    None  None  \n",
       "1043                  10      None   None    None    None  None  \n",
       "1242                  10      None   None    None    None  None  \n",
       "2259                  10      None   None    None    None  None  \n",
       "2260                  10      None   None    None    None  None  \n",
       "\n",
       "[181 rows x 17 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive[twitter_archive['retweeted_status_id'].isnull() == False]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Quality issues\n",
    "1. Retweets have to be removed.\n",
    "\n",
    "2. All relevant variables in datasets should have the correct data type.\n",
    "\n",
    "3. Twitter archives dataset contains columns with missing data.\n",
    "\n",
    "4. \"expanded_urls\" column had missing values which can be generated.\n",
    "\n",
    "5. There were quite a few names registered as \"none\".\n",
    "\n",
    "6. There are entries with numerators which are not reasonable.\n",
    "\n",
    "7. Entries with inconsistent denominators also exist.\n",
    "\n",
    "8. Less relevant variables have to be removed."
   ]
  },
  {
   "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 various dog categories can be collapsed into one column.\n",
    "\n",
    "2. The rating_denominator column is pretty much redundant."
   ]
  },
  {
   "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": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Make copies of original pieces of data\n",
    "twitter_archive_clean = twitter_archive.copy()\n",
    "image_predictions_clean = image_predictions.copy()\n",
    "extra_info_clean = extra_info.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Issue #1:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For Quality issues:\n",
    "- Retweets have to be removed."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "twitter_archive_clean = twitter_archive_clean[twitter_archive_clean['retweeted_status_id'].isnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [],
   "source": [
    "twitter_archive_clean = twitter_archive_clean[twitter_archive_clean['in_reply_to_status_id'].isnull()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(twitter_archive_clean['retweeted_status_id'].isnull() == False).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(twitter_archive_clean['in_reply_to_status_id'].isnull() == False).sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Issue #2:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "hidden": true
       },
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "source": [
    "- All relevant variables in datasets should have the correct data type."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "int64\n",
      "int64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "dtype('O')"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(twitter_archive_clean['tweet_id'].dtype)\n",
    "print(image_predictions_clean['tweet_id'].dtype)\n",
    "extra_info_clean['tweet_id'].dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [],
   "source": [
    "# convert tweet_id in the two required datasets to string.\n",
    "twitter_archive_clean['tweet_id'] = twitter_archive_clean['tweet_id'].astype('str')\n",
    "image_predictions_clean['tweet_id'] = image_predictions_clean['tweet_id'].astype('str')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tweet_id                       object\n",
      "in_reply_to_status_id         float64\n",
      "in_reply_to_user_id           float64\n",
      "timestamp                      object\n",
      "source                         object\n",
      "text                           object\n",
      "retweeted_status_id           float64\n",
      "retweeted_status_user_id      float64\n",
      "retweeted_status_timestamp     object\n",
      "expanded_urls                  object\n",
      "rating_numerator                int64\n",
      "rating_denominator              int64\n",
      "name                           object\n",
      "doggo                          object\n",
      "floofer                        object\n",
      "pupper                         object\n",
      "puppo                          object\n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "print(twitter_archive_clean.dtypes)\n",
    "twitter_archive_clean['timestamp'] = pd.to_datetime(twitter_archive_clean['timestamp'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "likes             int64\n",
      "retweet_count     int64\n",
      "timestamp        object\n",
      "tweet_id         object\n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "# convert to datetime\n",
    "print(extra_info_clean.dtypes)\n",
    "extra_info_clean['timestamp'] = pd.to_datetime(extra_info_clean['timestamp'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "object\n",
      "object\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "dtype('O')"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(twitter_archive_clean['tweet_id'].dtype)\n",
    "print(image_predictions_clean['tweet_id'].dtype)\n",
    "extra_info_clean['tweet_id'].dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "datetime64[ns]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "dtype('<M8[ns]')"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(twitter_archive_clean['timestamp'].dtypes)\n",
    "extra_info_clean['timestamp'].dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Issue #3:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Twitter archives dataset contains columns with missing data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tweet_id                         0\n",
       "in_reply_to_status_id         2097\n",
       "in_reply_to_user_id           2097\n",
       "timestamp                        0\n",
       "source                           0\n",
       "text                             0\n",
       "retweeted_status_id           2097\n",
       "retweeted_status_user_id      2097\n",
       "retweeted_status_timestamp    2097\n",
       "expanded_urls                    3\n",
       "rating_numerator                 0\n",
       "rating_denominator               0\n",
       "name                             0\n",
       "doggo                            0\n",
       "floofer                          0\n",
       "pupper                           0\n",
       "puppo                            0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_clean.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [],
   "source": [
    "# dropped_columns with nulls greater than 90% and \"irrelevant\" variables.\n",
    "(twitter_archive_clean.isnull().sum()/ len(twitter_archive_clean))\n",
    "dropped_columns =['in_reply_to_status_id', 'in_reply_to_user_id','retweeted_status_id', \n",
    "                  'retweeted_status_user_id', 'retweeted_status_timestamp']\n",
    "twitter_archive_clean.drop(columns=dropped_columns, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tweet_id              0\n",
       "timestamp             0\n",
       "source                0\n",
       "text                  0\n",
       "expanded_urls         3\n",
       "rating_numerator      0\n",
       "rating_denominator    0\n",
       "name                  0\n",
       "doggo                 0\n",
       "floofer               0\n",
       "pupper                0\n",
       "puppo                 0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_clean.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Issue #4:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- \"expanded_urls\" column had missing values which can be generated."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th {\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
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       "      <th>name</th>\n",
       "      <th>doggo</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>828361771580813312</td>\n",
       "      <td>2017-02-05 21:56:51</td>\n",
       "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
       "      <td>Beebop and Doobert should start a band 12/10 w...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
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       "      <td>None</td>\n",
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       "      <th>707</th>\n",
       "      <td>785515384317313025</td>\n",
       "      <td>2016-10-10 16:20:36</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Today, 10/10, should be National Dog Rates Day</td>\n",
       "      <td>NaN</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",
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       "    <tr>\n",
       "      <th>1445</th>\n",
       "      <td>696518437233913856</td>\n",
       "      <td>2016-02-08 02:18:30</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Oh my god 10/10 for every little hot dog pupper</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>None</td>\n",
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      "text/plain": [
       "                tweet_id           timestamp  \\\n",
       "375   828361771580813312 2017-02-05 21:56:51   \n",
       "707   785515384317313025 2016-10-10 16:20:36   \n",
       "1445  696518437233913856 2016-02-08 02:18:30   \n",
       "\n",
       "                                                 source  \\\n",
       "375   <a href=\"http://twitter.com\" rel=\"nofollow\">Tw...   \n",
       "707   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "1445  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "\n",
       "                                                   text expanded_urls  \\\n",
       "375   Beebop and Doobert should start a band 12/10 w...           NaN   \n",
       "707      Today, 10/10, should be National Dog Rates Day           NaN   \n",
       "1445    Oh my god 10/10 for every little hot dog pupper           NaN   \n",
       "\n",
       "      rating_numerator  rating_denominator  name doggo floofer  pupper puppo  \n",
       "375                 12                  10  None  None    None    None  None  \n",
       "707                 10                  10  None  None    None    None  None  \n",
       "1445                10                  10  None  None    None  pupper  None  "
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_clean[twitter_archive_clean['expanded_urls'].isnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "twitter_archive_clean['expanded_urls'] = (twitter_archive_clean['expanded_urls']\n",
    "                                          .replace(np.nan, ('https://twitter.com/dog_rates/status/{}'\n",
    "                                          .format(twitter_archive_clean['tweet_id']))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_clean['expanded_urls'].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2094"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_clean['expanded_urls'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 2097 entries, 0 to 2355\n",
      "Data columns (total 12 columns):\n",
      "tweet_id              2097 non-null object\n",
      "timestamp             2097 non-null datetime64[ns]\n",
      "source                2097 non-null object\n",
      "text                  2097 non-null object\n",
      "expanded_urls         2097 non-null object\n",
      "rating_numerator      2097 non-null int64\n",
      "rating_denominator    2097 non-null int64\n",
      "name                  2097 non-null object\n",
      "doggo                 2097 non-null object\n",
      "floofer               2097 non-null object\n",
      "pupper                2097 non-null object\n",
      "puppo                 2097 non-null object\n",
      "dtypes: datetime64[ns](1), int64(2), object(9)\n",
      "memory usage: 213.0+ KB\n"
     ]
    }
   ],
   "source": [
    "twitter_archive_clean.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Issue #5:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- There were quite a few names registered as \"none\"."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "None        603\n",
       "a            55\n",
       "Charlie      11\n",
       "Lucy         11\n",
       "Oliver       10\n",
       "Cooper       10\n",
       "Penny         9\n",
       "Tucker        9\n",
       "Lola          8\n",
       "Winston       8\n",
       "the           8\n",
       "Sadie         8\n",
       "Toby          7\n",
       "Daisy         7\n",
       "Bo            6\n",
       "Bella         6\n",
       "Stanley       6\n",
       "Koda          6\n",
       "an            6\n",
       "Oscar         6\n",
       "Jax           6\n",
       "Bailey        6\n",
       "Bentley       5\n",
       "Milo          5\n",
       "Dave          5\n",
       "Scout         5\n",
       "Leo           5\n",
       "Rusty         5\n",
       "Buddy         5\n",
       "Louis         5\n",
       "           ... \n",
       "Kaia          1\n",
       "Robin         1\n",
       "Cal           1\n",
       "Amber         1\n",
       "Stephan       1\n",
       "Bobble        1\n",
       "Eve           1\n",
       "Brudge        1\n",
       "Hall          1\n",
       "Tiger         1\n",
       "Harper        1\n",
       "Timison       1\n",
       "Jennifur      1\n",
       "Brandi        1\n",
       "Rambo         1\n",
       "Jessifer      1\n",
       "Obie          1\n",
       "Travis        1\n",
       "Kramer        1\n",
       "Keet          1\n",
       "Carly         1\n",
       "Milky         1\n",
       "Pete          1\n",
       "Sky           1\n",
       "Beckham       1\n",
       "Carll         1\n",
       "Farfle        1\n",
       "Cedrick       1\n",
       "Emma          1\n",
       "Claude        1\n",
       "Name: name, Length: 955, dtype: int64"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_clean['name'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import re\n",
    "\n",
    "#mask1 = twitter_archive_clean['name'] == 'None'\n",
    "#mask2 = twitter_archive_clean['name'] == 'a'\n",
    "for name in twitter_archive_clean['name']:\n",
    "    #for text in twitter_archive_clean[twitter_archive_clean['text'] == 'None']['text':\n",
    "    #print(re.findall(r'(?<=[a-z,][ ])([A-Z][a-z]*)', text))\n",
    "    if (name=='None') | (name=='a'):\n",
    "        twitter_archive_clean['name'] = twitter_archive_clean['name'].replace(name, 'Not given')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Whilst it is possible to \"get\" some missing names from the \"text\" column, the technical as well as accuracy details elude me. But I reckon, it could involve:\n",
    " 1. Comparing the \"text\" column to a standard list of popular dog names and extracting matches\n",
    " 2. Using regular expressions to extract proper nouns from the \"text\" column.\n",
    " \n",
    "Guess that's going to be left for refactoring."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Not given    658\n",
       "Charlie       11\n",
       "Lucy          11\n",
       "Oliver        10\n",
       "Cooper        10\n",
       "Tucker         9\n",
       "Penny          9\n",
       "the            8\n",
       "Lola           8\n",
       "Sadie          8\n",
       "Winston        8\n",
       "Daisy          7\n",
       "Toby           7\n",
       "Oscar          6\n",
       "Bella          6\n",
       "Jax            6\n",
       "an             6\n",
       "Bo             6\n",
       "Stanley        6\n",
       "Koda           6\n",
       "Bailey         6\n",
       "Dave           5\n",
       "Bentley        5\n",
       "Louis          5\n",
       "Rusty          5\n",
       "Leo            5\n",
       "Chester        5\n",
       "Buddy          5\n",
       "Milo           5\n",
       "Scout          5\n",
       "            ... \n",
       "Kaia           1\n",
       "Robin          1\n",
       "Cal            1\n",
       "Amber          1\n",
       "Stephan        1\n",
       "Bobble         1\n",
       "Eve            1\n",
       "Brudge         1\n",
       "Hall           1\n",
       "Tiger          1\n",
       "Harper         1\n",
       "Timison        1\n",
       "Jennifur       1\n",
       "Brandi         1\n",
       "Rambo          1\n",
       "Jessifer       1\n",
       "Obie           1\n",
       "Travis         1\n",
       "Kramer         1\n",
       "Keet           1\n",
       "Carly          1\n",
       "Milky          1\n",
       "Pete           1\n",
       "Sky            1\n",
       "Beckham        1\n",
       "Carll          1\n",
       "Farfle         1\n",
       "Cedrick        1\n",
       "Emma           1\n",
       "Claude         1\n",
       "Name: name, Length: 954, dtype: int64"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_clean['name'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Not given    658\n",
       "Charlie       11\n",
       "Lucy          11\n",
       "Oliver        10\n",
       "Cooper        10\n",
       "Tucker         9\n",
       "Penny          9\n",
       "the            8\n",
       "Lola           8\n",
       "Sadie          8\n",
       "Winston        8\n",
       "Daisy          7\n",
       "Toby           7\n",
       "Oscar          6\n",
       "Bella          6\n",
       "Jax            6\n",
       "an             6\n",
       "Bo             6\n",
       "Stanley        6\n",
       "Koda           6\n",
       "Bailey         6\n",
       "Dave           5\n",
       "Bentley        5\n",
       "Louis          5\n",
       "Rusty          5\n",
       "Leo            5\n",
       "Chester        5\n",
       "Buddy          5\n",
       "Milo           5\n",
       "Scout          5\n",
       "            ... \n",
       "Kaia           1\n",
       "Robin          1\n",
       "Cal            1\n",
       "Amber          1\n",
       "Stephan        1\n",
       "Bobble         1\n",
       "Eve            1\n",
       "Brudge         1\n",
       "Hall           1\n",
       "Tiger          1\n",
       "Harper         1\n",
       "Timison        1\n",
       "Jennifur       1\n",
       "Brandi         1\n",
       "Rambo          1\n",
       "Jessifer       1\n",
       "Obie           1\n",
       "Travis         1\n",
       "Kramer         1\n",
       "Keet           1\n",
       "Carly          1\n",
       "Milky          1\n",
       "Pete           1\n",
       "Sky            1\n",
       "Beckham        1\n",
       "Carll          1\n",
       "Farfle         1\n",
       "Cedrick        1\n",
       "Emma           1\n",
       "Claude         1\n",
       "Name: name, Length: 954, dtype: int64"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_clean['name'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Issue #6:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- There are entries with numerators which are not reasonable."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12      486\n",
       "10      436\n",
       "11      413\n",
       "13      287\n",
       "9       153\n",
       "8        98\n",
       "7        52\n",
       "14       38\n",
       "5        34\n",
       "6        32\n",
       "3        19\n",
       "4        16\n",
       "2         9\n",
       "1         5\n",
       "26        1\n",
       "44        1\n",
       "165       1\n",
       "24        1\n",
       "60        1\n",
       "50        1\n",
       "144       1\n",
       "80        1\n",
       "84        1\n",
       "88        1\n",
       "121       1\n",
       "204       1\n",
       "420       1\n",
       "1776      1\n",
       "27        1\n",
       "45        1\n",
       "75        1\n",
       "99        1\n",
       "0         1\n",
       "Name: rating_numerator, dtype: int64"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_clean['rating_numerator'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I must admit at this point to have limited domain knowledge, however, let's place a cutt-off, say, 99 points as that seems relatively reasonable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [],
   "source": [
    "twitter_archive_clean = twitter_archive_clean[twitter_archive_clean['rating_numerator'] <= 99]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12    486\n",
       "10    436\n",
       "11    413\n",
       "13    287\n",
       "9     153\n",
       "8      98\n",
       "7      52\n",
       "14     38\n",
       "5      34\n",
       "6      32\n",
       "3      19\n",
       "4      16\n",
       "2       9\n",
       "1       5\n",
       "99      1\n",
       "26      1\n",
       "24      1\n",
       "80      1\n",
       "44      1\n",
       "50      1\n",
       "60      1\n",
       "75      1\n",
       "84      1\n",
       "88      1\n",
       "27      1\n",
       "45      1\n",
       "0       1\n",
       "Name: rating_numerator, dtype: int64"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_clean['rating_numerator'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Issue #7:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-  Entries with inconsistent denominators also exist."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10    2078\n",
       "50       3\n",
       "11       2\n",
       "80       2\n",
       "7        1\n",
       "90       1\n",
       "70       1\n",
       "40       1\n",
       "20       1\n",
       "2        1\n",
       "Name: rating_denominator, dtype: int64"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_clean['rating_denominator'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is pretty straight forward as all MUST be 10."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [],
   "source": [
    "for rating in twitter_archive_clean['rating_denominator']:\n",
    "    if rating != 10:\n",
    "        twitter_archive_clean['rating_denominator'] = twitter_archive_clean['rating_denominator'].replace(rating, 10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10    2091\n",
       "Name: rating_denominator, dtype: int64"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_clean['rating_denominator'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Issue #8:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Less relevant variables have to be removed. This was done in step 1."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For Tidiness issues:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Issue #1:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- The various dog categories can be collapsed into one column."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [],
   "source": [
    "dog_cat = ['doggo', 'floofer', 'pupper', 'puppo']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [],
   "source": [
    "for dog in dog_cat:\n",
    "    twitter_archive_clean[dog] = twitter_archive_clean[dog].apply(lambda x:np.nan if x=='None' else x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "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>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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>doggo</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>puppo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>puppo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>pupper</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2326</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2327</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2328</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2329</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2330</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2331</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2332</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2333</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2334</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2335</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2336</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2337</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2338</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2339</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2340</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2341</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2342</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2343</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2344</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2345</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2346</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2347</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2348</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2349</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2350</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2351</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2352</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2353</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2354</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2355</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2091 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      doggo floofer  pupper  puppo\n",
       "0       NaN     NaN     NaN    NaN\n",
       "1       NaN     NaN     NaN    NaN\n",
       "2       NaN     NaN     NaN    NaN\n",
       "3       NaN     NaN     NaN    NaN\n",
       "4       NaN     NaN     NaN    NaN\n",
       "5       NaN     NaN     NaN    NaN\n",
       "6       NaN     NaN     NaN    NaN\n",
       "7       NaN     NaN     NaN    NaN\n",
       "8       NaN     NaN     NaN    NaN\n",
       "9     doggo     NaN     NaN    NaN\n",
       "10      NaN     NaN     NaN    NaN\n",
       "11      NaN     NaN     NaN    NaN\n",
       "12      NaN     NaN     NaN  puppo\n",
       "13      NaN     NaN     NaN    NaN\n",
       "14      NaN     NaN     NaN  puppo\n",
       "15      NaN     NaN     NaN    NaN\n",
       "16      NaN     NaN     NaN    NaN\n",
       "17      NaN     NaN     NaN    NaN\n",
       "18      NaN     NaN     NaN    NaN\n",
       "20      NaN     NaN     NaN    NaN\n",
       "21      NaN     NaN     NaN    NaN\n",
       "22      NaN     NaN     NaN    NaN\n",
       "23      NaN     NaN     NaN    NaN\n",
       "24      NaN     NaN     NaN    NaN\n",
       "25      NaN     NaN     NaN    NaN\n",
       "26      NaN     NaN     NaN    NaN\n",
       "27      NaN     NaN     NaN    NaN\n",
       "28      NaN     NaN     NaN    NaN\n",
       "29      NaN     NaN  pupper    NaN\n",
       "31      NaN     NaN     NaN    NaN\n",
       "...     ...     ...     ...    ...\n",
       "2326    NaN     NaN     NaN    NaN\n",
       "2327    NaN     NaN     NaN    NaN\n",
       "2328    NaN     NaN     NaN    NaN\n",
       "2329    NaN     NaN     NaN    NaN\n",
       "2330    NaN     NaN     NaN    NaN\n",
       "2331    NaN     NaN     NaN    NaN\n",
       "2332    NaN     NaN     NaN    NaN\n",
       "2333    NaN     NaN     NaN    NaN\n",
       "2334    NaN     NaN     NaN    NaN\n",
       "2335    NaN     NaN     NaN    NaN\n",
       "2336    NaN     NaN     NaN    NaN\n",
       "2337    NaN     NaN     NaN    NaN\n",
       "2338    NaN     NaN     NaN    NaN\n",
       "2339    NaN     NaN     NaN    NaN\n",
       "2340    NaN     NaN     NaN    NaN\n",
       "2341    NaN     NaN     NaN    NaN\n",
       "2342    NaN     NaN     NaN    NaN\n",
       "2343    NaN     NaN     NaN    NaN\n",
       "2344    NaN     NaN     NaN    NaN\n",
       "2345    NaN     NaN     NaN    NaN\n",
       "2346    NaN     NaN     NaN    NaN\n",
       "2347    NaN     NaN     NaN    NaN\n",
       "2348    NaN     NaN     NaN    NaN\n",
       "2349    NaN     NaN     NaN    NaN\n",
       "2350    NaN     NaN     NaN    NaN\n",
       "2351    NaN     NaN     NaN    NaN\n",
       "2352    NaN     NaN     NaN    NaN\n",
       "2353    NaN     NaN     NaN    NaN\n",
       "2354    NaN     NaN     NaN    NaN\n",
       "2355    NaN     NaN     NaN    NaN\n",
       "\n",
       "[2091 rows x 4 columns]"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_clean[dog_cat]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['tweet_id', 'timestamp', 'source', 'text', 'expanded_urls',\n",
       "       'rating_numerator', 'rating_denominator', 'name', 'doggo', 'floofer',\n",
       "       'pupper', 'puppo'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_clean.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [],
   "source": [
    "twitter_archive_clean = pd.melt(twitter_archive_clean,\n",
    "                                id_vars=['tweet_id', 'timestamp', 'source', 'text', \n",
    "                                         'rating_numerator','rating_denominator', 'name'], \n",
    "                                value_vars=dog_cat,\n",
    "                                value_name='dog_category'\n",
    "                               ).drop(columns='variable')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [],
   "source": [
    "twitter_archive_clean['dog_category'] = twitter_archive_clean['dog_category'].replace(np.nan, 'No category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [],
   "source": [
    "twitter_archive_clean['dog_category'] = twitter_archive_clean['dog_category'].astype('category')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No category    8017\n",
       "pupper          230\n",
       "doggo            83\n",
       "puppo            24\n",
       "floofer          10\n",
       "Name: dog_category, dtype: int64"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_clean['dog_category'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Issue #2:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- The rating_denominator column is pretty much redundant."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [],
   "source": [
    "twitter_archive_clean['ratings'] = twitter_archive_clean['rating_numerator']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [],
   "source": [
    "twitter_archive_clean.drop(columns=['rating_numerator', 'rating_denominator'], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['tweet_id', 'timestamp', 'source', 'text', 'name', 'dog_category',\n",
       "       'ratings'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 161,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_clean.columns"
   ]
  },
  {
   "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": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2354 entries, 0 to 2353\n",
      "Data columns (total 4 columns):\n",
      "likes            2354 non-null int64\n",
      "retweet_count    2354 non-null int64\n",
      "timestamp        2354 non-null datetime64[ns]\n",
      "tweet_id         2354 non-null object\n",
      "dtypes: datetime64[ns](1), int64(2), object(1)\n",
      "memory usage: 73.6+ KB\n"
     ]
    }
   ],
   "source": [
    "extra_info_clean.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [],
   "source": [
    "extra_info_clean.drop(columns='timestamp', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [],
   "source": [
    "image_predictions_clean.drop(columns=['p1', 'p1_conf', 'p1_dog', 'p2','p2_conf', \n",
    "                                      'p2_dog', 'p3', 'p3_conf', 'p3_dog', 'img_num'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [],
   "source": [
    "twitter_archive_master = (twitter_archive_clean.merge(extra_info_clean, on='tweet_id')\n",
    "                       .merge(image_predictions_clean, on='tweet_id')\n",
    "                      )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 7860 entries, 0 to 7859\n",
      "Data columns (total 10 columns):\n",
      "tweet_id         7860 non-null object\n",
      "timestamp        7860 non-null datetime64[ns]\n",
      "source           7860 non-null object\n",
      "text             7860 non-null object\n",
      "name             7860 non-null object\n",
      "dog_category     7860 non-null category\n",
      "ratings          7860 non-null int64\n",
      "likes            7860 non-null int64\n",
      "retweet_count    7860 non-null int64\n",
      "jpg_url          7860 non-null object\n",
      "dtypes: category(1), datetime64[ns](1), int64(3), object(5)\n",
      "memory usage: 621.9+ KB\n"
     ]
    }
   ],
   "source": [
    "twitter_archive_master.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [],
   "source": [
    "twitter_archive_master.to_csv('twitter_archive_master.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "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>timestamp</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>name</th>\n",
       "      <th>dog_category</th>\n",
       "      <th>ratings</th>\n",
       "      <th>likes</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>jpg_url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>892420643555336193</td>\n",
       "      <td>2017-08-01 16:23:56</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>Phineas</td>\n",
       "      <td>No category</td>\n",
       "      <td>13</td>\n",
       "      <td>39467</td>\n",
       "      <td>8853</td>\n",
       "      <td>https://pbs.twimg.com/media/DGKD1-bXoAAIAUK.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>892420643555336193</td>\n",
       "      <td>2017-08-01 16:23:56</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>Phineas</td>\n",
       "      <td>No category</td>\n",
       "      <td>13</td>\n",
       "      <td>39467</td>\n",
       "      <td>8853</td>\n",
       "      <td>https://pbs.twimg.com/media/DGKD1-bXoAAIAUK.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>892420643555336193</td>\n",
       "      <td>2017-08-01 16:23:56</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>Phineas</td>\n",
       "      <td>No category</td>\n",
       "      <td>13</td>\n",
       "      <td>39467</td>\n",
       "      <td>8853</td>\n",
       "      <td>https://pbs.twimg.com/media/DGKD1-bXoAAIAUK.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>892420643555336193</td>\n",
       "      <td>2017-08-01 16:23:56</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>Phineas</td>\n",
       "      <td>No category</td>\n",
       "      <td>13</td>\n",
       "      <td>39467</td>\n",
       "      <td>8853</td>\n",
       "      <td>https://pbs.twimg.com/media/DGKD1-bXoAAIAUK.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>892177421306343426</td>\n",
       "      <td>2017-08-01 00:17:27</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>Tilly</td>\n",
       "      <td>No category</td>\n",
       "      <td>13</td>\n",
       "      <td>33819</td>\n",
       "      <td>6514</td>\n",
       "      <td>https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>892177421306343426</td>\n",
       "      <td>2017-08-01 00:17:27</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>Tilly</td>\n",
       "      <td>No category</td>\n",
       "      <td>13</td>\n",
       "      <td>33819</td>\n",
       "      <td>6514</td>\n",
       "      <td>https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>892177421306343426</td>\n",
       "      <td>2017-08-01 00:17:27</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>Tilly</td>\n",
       "      <td>No category</td>\n",
       "      <td>13</td>\n",
       "      <td>33819</td>\n",
       "      <td>6514</td>\n",
       "      <td>https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>892177421306343426</td>\n",
       "      <td>2017-08-01 00:17:27</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>Tilly</td>\n",
       "      <td>No category</td>\n",
       "      <td>13</td>\n",
       "      <td>33819</td>\n",
       "      <td>6514</td>\n",
       "      <td>https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>2017-07-31 00:18:03</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>Archie</td>\n",
       "      <td>No category</td>\n",
       "      <td>12</td>\n",
       "      <td>25461</td>\n",
       "      <td>4328</td>\n",
       "      <td>https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>2017-07-31 00:18:03</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>Archie</td>\n",
       "      <td>No category</td>\n",
       "      <td>12</td>\n",
       "      <td>25461</td>\n",
       "      <td>4328</td>\n",
       "      <td>https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>2017-07-31 00:18:03</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>Archie</td>\n",
       "      <td>No category</td>\n",
       "      <td>12</td>\n",
       "      <td>25461</td>\n",
       "      <td>4328</td>\n",
       "      <td>https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>2017-07-31 00:18:03</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>Archie</td>\n",
       "      <td>No category</td>\n",
       "      <td>12</td>\n",
       "      <td>25461</td>\n",
       "      <td>4328</td>\n",
       "      <td>https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>2017-07-30 15:58:51</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>Darla</td>\n",
       "      <td>No category</td>\n",
       "      <td>13</td>\n",
       "      <td>42908</td>\n",
       "      <td>8964</td>\n",
       "      <td>https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>2017-07-30 15:58:51</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>Darla</td>\n",
       "      <td>No category</td>\n",
       "      <td>13</td>\n",
       "      <td>42908</td>\n",
       "      <td>8964</td>\n",
       "      <td>https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>2017-07-30 15:58:51</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>Darla</td>\n",
       "      <td>No category</td>\n",
       "      <td>13</td>\n",
       "      <td>42908</td>\n",
       "      <td>8964</td>\n",
       "      <td>https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>2017-07-30 15:58:51</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>Darla</td>\n",
       "      <td>No category</td>\n",
       "      <td>13</td>\n",
       "      <td>42908</td>\n",
       "      <td>8964</td>\n",
       "      <td>https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>2017-07-29 16:00:24</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>Franklin</td>\n",
       "      <td>No category</td>\n",
       "      <td>12</td>\n",
       "      <td>41048</td>\n",
       "      <td>9774</td>\n",
       "      <td>https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>2017-07-29 16:00:24</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>Franklin</td>\n",
       "      <td>No category</td>\n",
       "      <td>12</td>\n",
       "      <td>41048</td>\n",
       "      <td>9774</td>\n",
       "      <td>https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>2017-07-29 16:00:24</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>Franklin</td>\n",
       "      <td>No category</td>\n",
       "      <td>12</td>\n",
       "      <td>41048</td>\n",
       "      <td>9774</td>\n",
       "      <td>https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>2017-07-29 16:00:24</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>Franklin</td>\n",
       "      <td>No category</td>\n",
       "      <td>12</td>\n",
       "      <td>41048</td>\n",
       "      <td>9774</td>\n",
       "      <td>https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>891087950875897856</td>\n",
       "      <td>2017-07-29 00:08:17</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>13</td>\n",
       "      <td>20562</td>\n",
       "      <td>3261</td>\n",
       "      <td>https://pbs.twimg.com/media/DF3HwyEWsAABqE6.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>891087950875897856</td>\n",
       "      <td>2017-07-29 00:08:17</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>13</td>\n",
       "      <td>20562</td>\n",
       "      <td>3261</td>\n",
       "      <td>https://pbs.twimg.com/media/DF3HwyEWsAABqE6.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>891087950875897856</td>\n",
       "      <td>2017-07-29 00:08:17</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>13</td>\n",
       "      <td>20562</td>\n",
       "      <td>3261</td>\n",
       "      <td>https://pbs.twimg.com/media/DF3HwyEWsAABqE6.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>891087950875897856</td>\n",
       "      <td>2017-07-29 00:08:17</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>13</td>\n",
       "      <td>20562</td>\n",
       "      <td>3261</td>\n",
       "      <td>https://pbs.twimg.com/media/DF3HwyEWsAABqE6.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>890971913173991426</td>\n",
       "      <td>2017-07-28 16:27:12</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>Jax</td>\n",
       "      <td>No category</td>\n",
       "      <td>13</td>\n",
       "      <td>12041</td>\n",
       "      <td>2158</td>\n",
       "      <td>https://pbs.twimg.com/media/DF1eOmZXUAALUcq.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>890971913173991426</td>\n",
       "      <td>2017-07-28 16:27:12</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>Jax</td>\n",
       "      <td>No category</td>\n",
       "      <td>13</td>\n",
       "      <td>12041</td>\n",
       "      <td>2158</td>\n",
       "      <td>https://pbs.twimg.com/media/DF1eOmZXUAALUcq.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>890971913173991426</td>\n",
       "      <td>2017-07-28 16:27:12</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>Jax</td>\n",
       "      <td>No category</td>\n",
       "      <td>13</td>\n",
       "      <td>12041</td>\n",
       "      <td>2158</td>\n",
       "      <td>https://pbs.twimg.com/media/DF1eOmZXUAALUcq.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>890971913173991426</td>\n",
       "      <td>2017-07-28 16:27:12</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>Jax</td>\n",
       "      <td>No category</td>\n",
       "      <td>13</td>\n",
       "      <td>12041</td>\n",
       "      <td>2158</td>\n",
       "      <td>https://pbs.twimg.com/media/DF1eOmZXUAALUcq.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>890729181411237888</td>\n",
       "      <td>2017-07-28 00:22:40</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>13</td>\n",
       "      <td>56848</td>\n",
       "      <td>16716</td>\n",
       "      <td>https://pbs.twimg.com/media/DFyBahAVwAAhUTd.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>890729181411237888</td>\n",
       "      <td>2017-07-28 00:22:40</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>13</td>\n",
       "      <td>56848</td>\n",
       "      <td>16716</td>\n",
       "      <td>https://pbs.twimg.com/media/DFyBahAVwAAhUTd.jpg</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7830</th>\n",
       "      <td>666055525042405380</td>\n",
       "      <td>2015-11-16 00:49:46</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>10</td>\n",
       "      <td>448</td>\n",
       "      <td>261</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5N9tpXIAAifs1.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7831</th>\n",
       "      <td>666055525042405380</td>\n",
       "      <td>2015-11-16 00:49:46</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>10</td>\n",
       "      <td>448</td>\n",
       "      <td>261</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5N9tpXIAAifs1.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7832</th>\n",
       "      <td>666051853826850816</td>\n",
       "      <td>2015-11-16 00:35:11</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>an</td>\n",
       "      <td>No category</td>\n",
       "      <td>2</td>\n",
       "      <td>1253</td>\n",
       "      <td>879</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5KoJ1WoAAJash.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7833</th>\n",
       "      <td>666051853826850816</td>\n",
       "      <td>2015-11-16 00:35:11</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>an</td>\n",
       "      <td>No category</td>\n",
       "      <td>2</td>\n",
       "      <td>1253</td>\n",
       "      <td>879</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5KoJ1WoAAJash.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7834</th>\n",
       "      <td>666051853826850816</td>\n",
       "      <td>2015-11-16 00:35:11</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>an</td>\n",
       "      <td>No category</td>\n",
       "      <td>2</td>\n",
       "      <td>1253</td>\n",
       "      <td>879</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5KoJ1WoAAJash.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7835</th>\n",
       "      <td>666051853826850816</td>\n",
       "      <td>2015-11-16 00:35:11</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>an</td>\n",
       "      <td>No category</td>\n",
       "      <td>2</td>\n",
       "      <td>1253</td>\n",
       "      <td>879</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5KoJ1WoAAJash.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7836</th>\n",
       "      <td>666050758794694657</td>\n",
       "      <td>2015-11-16 00:30:50</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>10</td>\n",
       "      <td>136</td>\n",
       "      <td>60</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Jof1WUAEuVxN.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7837</th>\n",
       "      <td>666050758794694657</td>\n",
       "      <td>2015-11-16 00:30:50</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>10</td>\n",
       "      <td>136</td>\n",
       "      <td>60</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Jof1WUAEuVxN.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7838</th>\n",
       "      <td>666050758794694657</td>\n",
       "      <td>2015-11-16 00:30:50</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>10</td>\n",
       "      <td>136</td>\n",
       "      <td>60</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Jof1WUAEuVxN.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7839</th>\n",
       "      <td>666050758794694657</td>\n",
       "      <td>2015-11-16 00:30:50</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>10</td>\n",
       "      <td>136</td>\n",
       "      <td>60</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Jof1WUAEuVxN.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7840</th>\n",
       "      <td>666049248165822465</td>\n",
       "      <td>2015-11-16 00:24:50</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>5</td>\n",
       "      <td>111</td>\n",
       "      <td>41</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7841</th>\n",
       "      <td>666049248165822465</td>\n",
       "      <td>2015-11-16 00:24:50</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>5</td>\n",
       "      <td>111</td>\n",
       "      <td>41</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7842</th>\n",
       "      <td>666049248165822465</td>\n",
       "      <td>2015-11-16 00:24:50</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>5</td>\n",
       "      <td>111</td>\n",
       "      <td>41</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7843</th>\n",
       "      <td>666049248165822465</td>\n",
       "      <td>2015-11-16 00:24:50</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>5</td>\n",
       "      <td>111</td>\n",
       "      <td>41</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7844</th>\n",
       "      <td>666044226329800704</td>\n",
       "      <td>2015-11-16 00:04:52</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>6</td>\n",
       "      <td>311</td>\n",
       "      <td>147</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7845</th>\n",
       "      <td>666044226329800704</td>\n",
       "      <td>2015-11-16 00:04:52</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>6</td>\n",
       "      <td>311</td>\n",
       "      <td>147</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7846</th>\n",
       "      <td>666044226329800704</td>\n",
       "      <td>2015-11-16 00:04:52</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>6</td>\n",
       "      <td>311</td>\n",
       "      <td>147</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7847</th>\n",
       "      <td>666044226329800704</td>\n",
       "      <td>2015-11-16 00:04:52</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>6</td>\n",
       "      <td>311</td>\n",
       "      <td>147</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7848</th>\n",
       "      <td>666033412701032449</td>\n",
       "      <td>2015-11-15 23:21:54</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>9</td>\n",
       "      <td>128</td>\n",
       "      <td>47</td>\n",
       "      <td>https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7849</th>\n",
       "      <td>666033412701032449</td>\n",
       "      <td>2015-11-15 23:21:54</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>9</td>\n",
       "      <td>128</td>\n",
       "      <td>47</td>\n",
       "      <td>https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7850</th>\n",
       "      <td>666033412701032449</td>\n",
       "      <td>2015-11-15 23:21:54</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>9</td>\n",
       "      <td>128</td>\n",
       "      <td>47</td>\n",
       "      <td>https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7851</th>\n",
       "      <td>666033412701032449</td>\n",
       "      <td>2015-11-15 23:21:54</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>9</td>\n",
       "      <td>128</td>\n",
       "      <td>47</td>\n",
       "      <td>https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7852</th>\n",
       "      <td>666029285002620928</td>\n",
       "      <td>2015-11-15 23:05:30</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>7</td>\n",
       "      <td>132</td>\n",
       "      <td>48</td>\n",
       "      <td>https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7853</th>\n",
       "      <td>666029285002620928</td>\n",
       "      <td>2015-11-15 23:05:30</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>7</td>\n",
       "      <td>132</td>\n",
       "      <td>48</td>\n",
       "      <td>https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7854</th>\n",
       "      <td>666029285002620928</td>\n",
       "      <td>2015-11-15 23:05:30</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>7</td>\n",
       "      <td>132</td>\n",
       "      <td>48</td>\n",
       "      <td>https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7855</th>\n",
       "      <td>666029285002620928</td>\n",
       "      <td>2015-11-15 23:05:30</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>7</td>\n",
       "      <td>132</td>\n",
       "      <td>48</td>\n",
       "      <td>https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7856</th>\n",
       "      <td>666020888022790149</td>\n",
       "      <td>2015-11-15 22:32:08</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>8</td>\n",
       "      <td>2535</td>\n",
       "      <td>532</td>\n",
       "      <td>https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7857</th>\n",
       "      <td>666020888022790149</td>\n",
       "      <td>2015-11-15 22:32:08</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>8</td>\n",
       "      <td>2535</td>\n",
       "      <td>532</td>\n",
       "      <td>https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7858</th>\n",
       "      <td>666020888022790149</td>\n",
       "      <td>2015-11-15 22:32:08</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>8</td>\n",
       "      <td>2535</td>\n",
       "      <td>532</td>\n",
       "      <td>https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7859</th>\n",
       "      <td>666020888022790149</td>\n",
       "      <td>2015-11-15 22:32:08</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>Not given</td>\n",
       "      <td>No category</td>\n",
       "      <td>8</td>\n",
       "      <td>2535</td>\n",
       "      <td>532</td>\n",
       "      <td>https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7860 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id            timestamp  \\\n",
       "0     892420643555336193  2017-08-01 16:23:56   \n",
       "1     892420643555336193  2017-08-01 16:23:56   \n",
       "2     892420643555336193  2017-08-01 16:23:56   \n",
       "3     892420643555336193  2017-08-01 16:23:56   \n",
       "4     892177421306343426  2017-08-01 00:17:27   \n",
       "5     892177421306343426  2017-08-01 00:17:27   \n",
       "6     892177421306343426  2017-08-01 00:17:27   \n",
       "7     892177421306343426  2017-08-01 00:17:27   \n",
       "8     891815181378084864  2017-07-31 00:18:03   \n",
       "9     891815181378084864  2017-07-31 00:18:03   \n",
       "10    891815181378084864  2017-07-31 00:18:03   \n",
       "11    891815181378084864  2017-07-31 00:18:03   \n",
       "12    891689557279858688  2017-07-30 15:58:51   \n",
       "13    891689557279858688  2017-07-30 15:58:51   \n",
       "14    891689557279858688  2017-07-30 15:58:51   \n",
       "15    891689557279858688  2017-07-30 15:58:51   \n",
       "16    891327558926688256  2017-07-29 16:00:24   \n",
       "17    891327558926688256  2017-07-29 16:00:24   \n",
       "18    891327558926688256  2017-07-29 16:00:24   \n",
       "19    891327558926688256  2017-07-29 16:00:24   \n",
       "20    891087950875897856  2017-07-29 00:08:17   \n",
       "21    891087950875897856  2017-07-29 00:08:17   \n",
       "22    891087950875897856  2017-07-29 00:08:17   \n",
       "23    891087950875897856  2017-07-29 00:08:17   \n",
       "24    890971913173991426  2017-07-28 16:27:12   \n",
       "25    890971913173991426  2017-07-28 16:27:12   \n",
       "26    890971913173991426  2017-07-28 16:27:12   \n",
       "27    890971913173991426  2017-07-28 16:27:12   \n",
       "28    890729181411237888  2017-07-28 00:22:40   \n",
       "29    890729181411237888  2017-07-28 00:22:40   \n",
       "...                  ...                  ...   \n",
       "7830  666055525042405380  2015-11-16 00:49:46   \n",
       "7831  666055525042405380  2015-11-16 00:49:46   \n",
       "7832  666051853826850816  2015-11-16 00:35:11   \n",
       "7833  666051853826850816  2015-11-16 00:35:11   \n",
       "7834  666051853826850816  2015-11-16 00:35:11   \n",
       "7835  666051853826850816  2015-11-16 00:35:11   \n",
       "7836  666050758794694657  2015-11-16 00:30:50   \n",
       "7837  666050758794694657  2015-11-16 00:30:50   \n",
       "7838  666050758794694657  2015-11-16 00:30:50   \n",
       "7839  666050758794694657  2015-11-16 00:30:50   \n",
       "7840  666049248165822465  2015-11-16 00:24:50   \n",
       "7841  666049248165822465  2015-11-16 00:24:50   \n",
       "7842  666049248165822465  2015-11-16 00:24:50   \n",
       "7843  666049248165822465  2015-11-16 00:24:50   \n",
       "7844  666044226329800704  2015-11-16 00:04:52   \n",
       "7845  666044226329800704  2015-11-16 00:04:52   \n",
       "7846  666044226329800704  2015-11-16 00:04:52   \n",
       "7847  666044226329800704  2015-11-16 00:04:52   \n",
       "7848  666033412701032449  2015-11-15 23:21:54   \n",
       "7849  666033412701032449  2015-11-15 23:21:54   \n",
       "7850  666033412701032449  2015-11-15 23:21:54   \n",
       "7851  666033412701032449  2015-11-15 23:21:54   \n",
       "7852  666029285002620928  2015-11-15 23:05:30   \n",
       "7853  666029285002620928  2015-11-15 23:05:30   \n",
       "7854  666029285002620928  2015-11-15 23:05:30   \n",
       "7855  666029285002620928  2015-11-15 23:05:30   \n",
       "7856  666020888022790149  2015-11-15 22:32:08   \n",
       "7857  666020888022790149  2015-11-15 22:32:08   \n",
       "7858  666020888022790149  2015-11-15 22:32:08   \n",
       "7859  666020888022790149  2015-11-15 22:32:08   \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",
       "7830  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7831  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7832  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7833  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7834  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7835  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7836  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7837  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7838  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7839  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7840  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7841  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7842  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7843  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7844  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7845  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7846  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7847  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7848  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7849  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7850  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7851  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7852  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7853  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7854  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7855  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7856  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7857  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7858  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7859  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "\n",
       "                                                   text       name  \\\n",
       "0     This is Phineas. He's a mystical boy. Only eve...    Phineas   \n",
       "1     This is Phineas. He's a mystical boy. Only eve...    Phineas   \n",
       "2     This is Phineas. He's a mystical boy. Only eve...    Phineas   \n",
       "3     This is Phineas. He's a mystical boy. Only eve...    Phineas   \n",
       "4     This is Tilly. She's just checking pup on you....      Tilly   \n",
       "5     This is Tilly. She's just checking pup on you....      Tilly   \n",
       "6     This is Tilly. She's just checking pup on you....      Tilly   \n",
       "7     This is Tilly. She's just checking pup on you....      Tilly   \n",
       "8     This is Archie. He is a rare Norwegian Pouncin...     Archie   \n",
       "9     This is Archie. He is a rare Norwegian Pouncin...     Archie   \n",
       "10    This is Archie. He is a rare Norwegian Pouncin...     Archie   \n",
       "11    This is Archie. He is a rare Norwegian Pouncin...     Archie   \n",
       "12    This is Darla. She commenced a snooze mid meal...      Darla   \n",
       "13    This is Darla. She commenced a snooze mid meal...      Darla   \n",
       "14    This is Darla. She commenced a snooze mid meal...      Darla   \n",
       "15    This is Darla. She commenced a snooze mid meal...      Darla   \n",
       "16    This is Franklin. He would like you to stop ca...   Franklin   \n",
       "17    This is Franklin. He would like you to stop ca...   Franklin   \n",
       "18    This is Franklin. He would like you to stop ca...   Franklin   \n",
       "19    This is Franklin. He would like you to stop ca...   Franklin   \n",
       "20    Here we have a majestic great white breaching ...  Not given   \n",
       "21    Here we have a majestic great white breaching ...  Not given   \n",
       "22    Here we have a majestic great white breaching ...  Not given   \n",
       "23    Here we have a majestic great white breaching ...  Not given   \n",
       "24    Meet Jax. He enjoys ice cream so much he gets ...        Jax   \n",
       "25    Meet Jax. He enjoys ice cream so much he gets ...        Jax   \n",
       "26    Meet Jax. He enjoys ice cream so much he gets ...        Jax   \n",
       "27    Meet Jax. He enjoys ice cream so much he gets ...        Jax   \n",
       "28    When you watch your owner call another dog a g...  Not given   \n",
       "29    When you watch your owner call another dog a g...  Not given   \n",
       "...                                                 ...        ...   \n",
       "7830  Here is a Siberian heavily armored polar bear ...  Not given   \n",
       "7831  Here is a Siberian heavily armored polar bear ...  Not given   \n",
       "7832  This is an odd dog. Hard on the outside but lo...         an   \n",
       "7833  This is an odd dog. Hard on the outside but lo...         an   \n",
       "7834  This is an odd dog. Hard on the outside but lo...         an   \n",
       "7835  This is an odd dog. Hard on the outside but lo...         an   \n",
       "7836  This is a truly beautiful English Wilson Staff...  Not given   \n",
       "7837  This is a truly beautiful English Wilson Staff...  Not given   \n",
       "7838  This is a truly beautiful English Wilson Staff...  Not given   \n",
       "7839  This is a truly beautiful English Wilson Staff...  Not given   \n",
       "7840  Here we have a 1949 1st generation vulpix. Enj...  Not given   \n",
       "7841  Here we have a 1949 1st generation vulpix. Enj...  Not given   \n",
       "7842  Here we have a 1949 1st generation vulpix. Enj...  Not given   \n",
       "7843  Here we have a 1949 1st generation vulpix. Enj...  Not given   \n",
       "7844  This is a purebred Piers Morgan. Loves to Netf...  Not given   \n",
       "7845  This is a purebred Piers Morgan. Loves to Netf...  Not given   \n",
       "7846  This is a purebred Piers Morgan. Loves to Netf...  Not given   \n",
       "7847  This is a purebred Piers Morgan. Loves to Netf...  Not given   \n",
       "7848  Here is a very happy pup. Big fan of well-main...  Not given   \n",
       "7849  Here is a very happy pup. Big fan of well-main...  Not given   \n",
       "7850  Here is a very happy pup. Big fan of well-main...  Not given   \n",
       "7851  Here is a very happy pup. Big fan of well-main...  Not given   \n",
       "7852  This is a western brown Mitsubishi terrier. Up...  Not given   \n",
       "7853  This is a western brown Mitsubishi terrier. Up...  Not given   \n",
       "7854  This is a western brown Mitsubishi terrier. Up...  Not given   \n",
       "7855  This is a western brown Mitsubishi terrier. Up...  Not given   \n",
       "7856  Here we have a Japanese Irish Setter. Lost eye...  Not given   \n",
       "7857  Here we have a Japanese Irish Setter. Lost eye...  Not given   \n",
       "7858  Here we have a Japanese Irish Setter. Lost eye...  Not given   \n",
       "7859  Here we have a Japanese Irish Setter. Lost eye...  Not given   \n",
       "\n",
       "     dog_category  ratings  likes  retweet_count  \\\n",
       "0     No category       13  39467           8853   \n",
       "1     No category       13  39467           8853   \n",
       "2     No category       13  39467           8853   \n",
       "3     No category       13  39467           8853   \n",
       "4     No category       13  33819           6514   \n",
       "5     No category       13  33819           6514   \n",
       "6     No category       13  33819           6514   \n",
       "7     No category       13  33819           6514   \n",
       "8     No category       12  25461           4328   \n",
       "9     No category       12  25461           4328   \n",
       "10    No category       12  25461           4328   \n",
       "11    No category       12  25461           4328   \n",
       "12    No category       13  42908           8964   \n",
       "13    No category       13  42908           8964   \n",
       "14    No category       13  42908           8964   \n",
       "15    No category       13  42908           8964   \n",
       "16    No category       12  41048           9774   \n",
       "17    No category       12  41048           9774   \n",
       "18    No category       12  41048           9774   \n",
       "19    No category       12  41048           9774   \n",
       "20    No category       13  20562           3261   \n",
       "21    No category       13  20562           3261   \n",
       "22    No category       13  20562           3261   \n",
       "23    No category       13  20562           3261   \n",
       "24    No category       13  12041           2158   \n",
       "25    No category       13  12041           2158   \n",
       "26    No category       13  12041           2158   \n",
       "27    No category       13  12041           2158   \n",
       "28    No category       13  56848          16716   \n",
       "29    No category       13  56848          16716   \n",
       "...           ...      ...    ...            ...   \n",
       "7830  No category       10    448            261   \n",
       "7831  No category       10    448            261   \n",
       "7832  No category        2   1253            879   \n",
       "7833  No category        2   1253            879   \n",
       "7834  No category        2   1253            879   \n",
       "7835  No category        2   1253            879   \n",
       "7836  No category       10    136             60   \n",
       "7837  No category       10    136             60   \n",
       "7838  No category       10    136             60   \n",
       "7839  No category       10    136             60   \n",
       "7840  No category        5    111             41   \n",
       "7841  No category        5    111             41   \n",
       "7842  No category        5    111             41   \n",
       "7843  No category        5    111             41   \n",
       "7844  No category        6    311            147   \n",
       "7845  No category        6    311            147   \n",
       "7846  No category        6    311            147   \n",
       "7847  No category        6    311            147   \n",
       "7848  No category        9    128             47   \n",
       "7849  No category        9    128             47   \n",
       "7850  No category        9    128             47   \n",
       "7851  No category        9    128             47   \n",
       "7852  No category        7    132             48   \n",
       "7853  No category        7    132             48   \n",
       "7854  No category        7    132             48   \n",
       "7855  No category        7    132             48   \n",
       "7856  No category        8   2535            532   \n",
       "7857  No category        8   2535            532   \n",
       "7858  No category        8   2535            532   \n",
       "7859  No category        8   2535            532   \n",
       "\n",
       "                                              jpg_url  \n",
       "0     https://pbs.twimg.com/media/DGKD1-bXoAAIAUK.jpg  \n",
       "1     https://pbs.twimg.com/media/DGKD1-bXoAAIAUK.jpg  \n",
       "2     https://pbs.twimg.com/media/DGKD1-bXoAAIAUK.jpg  \n",
       "3     https://pbs.twimg.com/media/DGKD1-bXoAAIAUK.jpg  \n",
       "4     https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg  \n",
       "5     https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg  \n",
       "6     https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg  \n",
       "7     https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg  \n",
       "8     https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg  \n",
       "9     https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg  \n",
       "10    https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg  \n",
       "11    https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg  \n",
       "12    https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg  \n",
       "13    https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg  \n",
       "14    https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg  \n",
       "15    https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg  \n",
       "16    https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg  \n",
       "17    https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg  \n",
       "18    https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg  \n",
       "19    https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg  \n",
       "20    https://pbs.twimg.com/media/DF3HwyEWsAABqE6.jpg  \n",
       "21    https://pbs.twimg.com/media/DF3HwyEWsAABqE6.jpg  \n",
       "22    https://pbs.twimg.com/media/DF3HwyEWsAABqE6.jpg  \n",
       "23    https://pbs.twimg.com/media/DF3HwyEWsAABqE6.jpg  \n",
       "24    https://pbs.twimg.com/media/DF1eOmZXUAALUcq.jpg  \n",
       "25    https://pbs.twimg.com/media/DF1eOmZXUAALUcq.jpg  \n",
       "26    https://pbs.twimg.com/media/DF1eOmZXUAALUcq.jpg  \n",
       "27    https://pbs.twimg.com/media/DF1eOmZXUAALUcq.jpg  \n",
       "28    https://pbs.twimg.com/media/DFyBahAVwAAhUTd.jpg  \n",
       "29    https://pbs.twimg.com/media/DFyBahAVwAAhUTd.jpg  \n",
       "...                                               ...  \n",
       "7830  https://pbs.twimg.com/media/CT5N9tpXIAAifs1.jpg  \n",
       "7831  https://pbs.twimg.com/media/CT5N9tpXIAAifs1.jpg  \n",
       "7832  https://pbs.twimg.com/media/CT5KoJ1WoAAJash.jpg  \n",
       "7833  https://pbs.twimg.com/media/CT5KoJ1WoAAJash.jpg  \n",
       "7834  https://pbs.twimg.com/media/CT5KoJ1WoAAJash.jpg  \n",
       "7835  https://pbs.twimg.com/media/CT5KoJ1WoAAJash.jpg  \n",
       "7836  https://pbs.twimg.com/media/CT5Jof1WUAEuVxN.jpg  \n",
       "7837  https://pbs.twimg.com/media/CT5Jof1WUAEuVxN.jpg  \n",
       "7838  https://pbs.twimg.com/media/CT5Jof1WUAEuVxN.jpg  \n",
       "7839  https://pbs.twimg.com/media/CT5Jof1WUAEuVxN.jpg  \n",
       "7840  https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg  \n",
       "7841  https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg  \n",
       "7842  https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg  \n",
       "7843  https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg  \n",
       "7844  https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg  \n",
       "7845  https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg  \n",
       "7846  https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg  \n",
       "7847  https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg  \n",
       "7848  https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg  \n",
       "7849  https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg  \n",
       "7850  https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg  \n",
       "7851  https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg  \n",
       "7852  https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg  \n",
       "7853  https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg  \n",
       "7854  https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg  \n",
       "7855  https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg  \n",
       "7856  https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg  \n",
       "7857  https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg  \n",
       "7858  https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg  \n",
       "7859  https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg  \n",
       "\n",
       "[7860 rows x 10 columns]"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_csv('twitter_archive_master.csv')"
   ]
  },
  {
   "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": 169,
   "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>ratings</th>\n",
       "      <th>likes</th>\n",
       "      <th>retweet_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>7860.000000</td>\n",
       "      <td>7860.000000</td>\n",
       "      <td>7860.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>10.820356</td>\n",
       "      <td>8960.850382</td>\n",
       "      <td>2785.961323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>4.754280</td>\n",
       "      <td>12282.058090</td>\n",
       "      <td>4703.471091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>16.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>10.000000</td>\n",
       "      <td>1981.000000</td>\n",
       "      <td>627.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>11.000000</td>\n",
       "      <td>4138.000000</td>\n",
       "      <td>1366.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>12.000000</td>\n",
       "      <td>11416.000000</td>\n",
       "      <td>3240.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>99.000000</td>\n",
       "      <td>132810.000000</td>\n",
       "      <td>79515.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           ratings          likes  retweet_count\n",
       "count  7860.000000    7860.000000    7860.000000\n",
       "mean     10.820356    8960.850382    2785.961323\n",
       "std       4.754280   12282.058090    4703.471091\n",
       "min       0.000000      81.000000      16.000000\n",
       "25%      10.000000    1981.000000     627.000000\n",
       "50%      11.000000    4138.000000    1366.000000\n",
       "75%      12.000000   11416.000000    3240.000000\n",
       "max      99.000000  132810.000000   79515.000000"
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_master.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.91307589387845789"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_master['likes'].corr(twitter_archive_master['retweet_count'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "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>ratings</th>\n",
       "      <th>likes</th>\n",
       "      <th>retweet_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ratings</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.174768</td>\n",
       "      <td>0.129717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>likes</th>\n",
       "      <td>0.174768</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.913076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>retweet_count</th>\n",
       "      <td>0.129717</td>\n",
       "      <td>0.913076</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                ratings     likes  retweet_count\n",
       "ratings        1.000000  0.174768       0.129717\n",
       "likes          0.174768  1.000000       0.913076\n",
       "retweet_count  0.129717  0.913076       1.000000"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_master.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No category    0.960178\n",
       "pupper         0.026590\n",
       "doggo          0.009288\n",
       "puppo          0.002926\n",
       "floofer        0.001018\n",
       "Name: dog_category, dtype: float64"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_master['dog_category'].value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pupper         0.667732\n",
       "doggo          0.233227\n",
       "puppo          0.073482\n",
       "floofer        0.025559\n",
       "No category    0.000000\n",
       "Name: dog_category, dtype: float64"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(twitter_archive_master[twitter_archive_master['dog_category'] != 'No category']['dog_category']).value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Insights:\n",
    "1. There is no relationship between ratings and likes or retweet counts which gives a strong cause for further investigation as one would have expected an agreement with the given rating resulting in likes.\n",
    "\n",
    "2. There is also a strong relationship between tweet likes and retweet counts indicating a likelihood of tweets liked being retweeted.\n",
    "\n",
    "3. An overwhelming 96% of dogs in this version of cleaned dataset were not having categories, however, the greater percentage(66.88%), of those categorized were \"puppers\"."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "sns.set_style(style=\"darkgrid\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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sxJIkaX1Xz2M6LTO3WenCa1FEnAf8NjNHmzBGq6nF7Vt7zk7LzDNXunBjIuKjwEMzcywmsZI0wTjUU5J0H1GuHfYsSg/DFpRhorPHtVH8c3jaIkrvx56U3sGVTfKjLrW4fSNi8Bp2t1F6NJ9AuYxE8+pQ2fsDv6LM2Ho45TqOktZDBj9J0nD6KEPMzqNcr+6b3DuF/Hh6KGUo44MpQyPfmJk/H98mNaXF7RuU8+SmUM4RfmlmLhjfJq01UynDO7cEbgU+TjkvUdJ6yKGekiRJktQ4J3eRJEmSpMY1M9Rz4cKldl1KkiRJWm/1908d8bqn9vhJkiRJUuMMfpIkSZLUOIOfJEmSJDXO4CdJkiRJjTP4SZIkSVLjDH6SJEmS1DiDnyRJkiQ1zuAnSZIkSY0z+EmSJElS4wx+kiRJktQ4g58kSZIkNc7gJ0mSJEmNM/hJkiRJUuMMfpIkSZLUOIOfJEmSJDVu0ng3YF0y46TZ490ErWMuOmL/8W6CJEmStMbs8ZMkSZKkxhn8JEmSJKlxBj9JkiRJapzBT5IkSZIaZ/CTJEmSpMYZ/CRJkiSpcQY/SZIkSWqcwU+SJEmSGmfwkyRJkqTGGfwkSZIkqXEGP0mSJElqnMFPkiRJkhpn8JMkSZKkxhn8JEmSJKlxBj9JkiRJapzBT5IkSZIaZ/CTJEmSpMYZ/CRJkiSpcZN6VXFEBHBeR9EjgfcBZ9XybYG5wAGZuTgi+oBTgOcDy4FDM/OaWtdM4Nhazwczc1av2i1JkiRJrelZj18WO2TmDsBOlDA3GzgKuDQztwMurfcB9ga2qz+vA04FiIjNgOOAJwO7AsdFxKa9arckSZIktWZtDfV8DvC7zLwR2BcY7LGbBexXb+8LnJWZA5l5JTAtIh4G7AVckpmLMnMxcAkwYy21W5IkSZImvJ4N9RziQOCcenuLzFwAkJkLIuIhtXwrYF7HOvNr2UjlK5gyZSMmTdpgrNut9dy0aZPHuwmSJEnSGut58IuI+wMvAo5eyaJ9w5QNjFK+gmXL7lr1xkkrsWTJ8vFugiRJktSV/v6pIz62NoZ67g1ck5m31Pu31CGc1N+31vL5wPSO9bYGbh6lXJIkSZLUhbUR/A7i3mGeAHOAmfX2TODCjvJDIqIvInYD7qhDQi8G9oyITeukLnvWMkmSJElSF3oa/CJiMvA84OsdxScCz4uI/6uPnVjLvwX8HrgBOB14E0BmLgJOAK6uPx+oZZIkSZKkLvQNDNzndLkJaeHCpWv8QmacNHssmqKGXHTE/uPdBEmSJKkr/f1Th5sfBVh7l3OQJEmSJI0Tg58kSZIkNc7gJ0mSJEmNM/hJkiRJUuMMfpIkSZLUOIOfJEmSJDXO4CdJkiRJjTP4SZIkSVLjDH6SJEmS1DiDnyRJkiQ1zuAnSZIkSY0z+EmSJElS4wx+kiRJktQ4g58kSZIkNc7gJ0mSJEmNM/hJkiRJUuMMfpIkSZLUOIOfJEmSJDXO4CdJkiRJjTP4SZIkSVLjDH6SJEmS1DiDnyRJkiQ1zuAnSZIkSY0z+EmSJElS4wx+kiRJktQ4g58kSZIkNc7gJ0mSJEmNM/hJkiRJUuMMfpIkSZLUOIOfJEmSJDXO4CdJkiRJjTP4SZIkSVLjJvWy8oiYBnwReDwwALwaSOA8YFtgLnBAZi6OiD7gFOD5wHLg0My8ptYzEzi2VvvBzJzVy3ZLkiRJUkt63eN3CnBRZj4WeCJwPXAUcGlmbgdcWu8D7A1sV39eB5wKEBGbAccBTwZ2BY6LiE173G5JkiRJakbPgl9EPBB4BnAGQGb+LTOXAPsCgz12s4D96u19gbMycyAzrwSmRcTDgL2ASzJzUWYuBi4BZvSq3ZIkSZLUml4O9XwksBA4MyKeCPwMeDuwRWYuAMjMBRHxkLr8VsC8jvXn17KRylcwZcpGTJq0wZi/CK3fpk2bPN5NkCRJktZYL4PfJOBJwFsz86qIOIV7h3UOp2+YsoFRylewbNldq9VIaTRLliwf7yZIkiRJXenvnzriY708x28+MD8zr6r3L6AEwVvqEE7q71s7lp/esf7WwM2jlEuSJEmSutCz4JeZfwLmRUTUoucA1wFzgJm1bCZwYb09BzgkIvoiYjfgjjok9GJgz4jYtE7qsmctkyRJkiR1oaeXcwDeCnwlIu4P/B44jBI2z4+Iw4E/Ai+ry36LcimHGyiXczgMIDMXRcQJwNV1uQ9k5qIet1uSJEmSmtE3MHCf0+UmpIULl67xC5lx0uyxaIoactER+493EyRJkqSu9PdPHW5+FKD31/GTJEmSJI0zg58kSZIkNc7gJ0mSJEmNM/hJkiRJUuMMfpIkSZLUOIOfJEmSJDXO4CdJkiRJjTP4SZIkSVLjDH6SJEmS1DiDnyRJkiQ1zuAnSZIkSY0z+EmSJElS4wx+kiRJktQ4g58kSZIkNc7gJ0mSJEmNM/hJkiRJUuMMfpIkSZLUOIOfJEmSJDXO4CdJkiRJjTP4SZIkSVLjDH6SJEmS1DiDnyRJkiQ1zuAnSZIkSY0z+EmSJElS4wx+kiRJktQ4g58kSZIkNc7gJ0mSJEmNM/hJkiRJUuMMfpIkSZLUOIOfJEmSJDXO4CdJkiRJjTP4SZIkSVLjDH6SJEmS1LhJvaw8IuYCS4F7gLszc+eI2Aw4D9gWmAsckJmLI6IPOAV4PrAcODQzr6n1zASOrdV+MDNn9bLdkiRJktSStdHj96zM3CEzd673jwIuzcztgEvrfYC9ge3qz+uAUwFqUDwOeDKwK3BcRGy6FtotSZIkSU0Yj6Ge+wKDPXazgP06ys/KzIHMvBKYFhEPA/YCLsnMRZm5GLgEmLG2Gy1JkiRJE1VPh3oCA8C3I2IA+HxmfgHYIjMXAGTmgoh4SF12K2Bex7rza9lI5SuYMmUjJk3aoAcvQeuzadMmj3cTJEmSpDXW6+D3tMy8uYa7SyLit6Ms2zdM2cAo5StYtuyu1WyiNLIlS5aPdxMkSZKkrvT3Tx3xsZ4O9czMm+vvW4HZlHP0bqlDOKm/b62Lzwemd6y+NXDzKOWSJEmSpC70LPhFxAMiYurgbWBP4NfAHGBmXWwmcGG9PQc4JCL6ImI34I46JPRiYM+I2LRO6rJnLZMkSZIkdaGXQz23AGZHxODzfDUzL4qIq4HzI+Jw4I/Ay+ry36JcyuEGyuUcDgPIzEURcQJwdV3uA5m5qIftliRJkqSm9A0M3Od0uQlp4cKla/xCZpw0eyyaooZcdMT+490ESZIkqSv9/VOHmx8FGJ/LOUiSJEmS1iKDnyRJkiQ1zuAnSZIkSY0z+EmSJElS4wx+kiRJktQ4g58kSZIkNc7gJ0mSJEmNM/hJkiRJUuMMfpIkSZLUOIOfJEmSJDXO4CdJkiRJjTP4SZIkSVLjDH6SJEmS1DiDnyRJkiQ1zuAnSZIkSY0z+EmSJElS4wx+kiRJktQ4g58kSZIkNc7gJ0mSJEmNM/hJkiRJUuMMfpIkSZLUOIOfJEmSJDXO4CdJkiRJjTP4SZIkSVLjDH6SJEmS1Liugl9EXNpNmSRJkiRp3TNptAcjYmNgMrB5RGwK9NWHHghs2eO2SZIkSZLGwKjBD3g98A5KyPsZ9wa/PwOf7WG7JEmSJEljZNTgl5mnAKdExFsz89NrqU2SJEmSpDG0sh4/ADLz0xHxVGDbznUy86wetUuSJEmSNEa6Cn4RcTbwKOBa4J5aPAAY/CRJkiRpHddV8AN2BrbPzIFeNkaSJEmSNPa6DX6/Bh4KLFjVJ4iIDYCfAjdl5j4R8QjgXGAz4BrgVZn5t4jYiNKDuBNwO/DyzJxb6zgaOJzS2/i2zLx4VdshSZIkSeurbi/gvjlwXURcHBFzBn+6XPftwPUd9z8KfCIztwMWUwId9ffizHw08Im6HBGxPXAg8DhgBvC5GiYlSZIkSV3otsfv+NWpPCK2Bl4AfAh4Z0T0Ac8GXlEXmVXrPhXYt+N5LgA+U5ffFzg3M+8C/hARNwC7Aj9enTZJkiRJ0vqm21k9v7+a9X8SOAKYWu8/GFiSmXfX+/OBrertrYB59fnujog76vJbAVd21Nm5zj9NmbIRkybZEaixNW3a5PFugiRJkrTGup3VcyllFk+A+wMbAndm5gNHWWcf4NbM/FlE7FGL+4ZZdGAlj422zj8tW3bXSE2RVtuSJcvHuwmSJElSV/r7p474WLc9fivUEBH7UYZbjuZpwIsi4vnAxsADKT2A0yJiUu312xq4uS4/H5gOzI+IScCDgEUd5YM615EkSZIkrUS3k7usIDP/i3Ku3mjLHJ2ZW2fmtpTJWb6bmQcDlwEvrYvNBC6st+fU+9THv1svHzEHODAiNqozgm4H/GR12i1JkiRJ66Nuh3q+uOPu/SjX9Vvda/odCZwbER8Efg6cUcvPAM6uk7csooRFMvM3EXE+cB1wN/DmzLznvtVKkiRJkobTNzCw8vwWEWd23L0bmAucnpm39qhdq2zhwqVrfHH5GSfNHoumqCEXHbH/eDdBkiRJ6kp//9Th5kcBuj/H77Cxa44kSZIkaW3qdqjn1sCnKRO2DABXAG/PzPk9bJskSZIkaQx0O7nLmZRJVrakXEPvv2uZJEmSJGkd11WPH9CfmZ1B78sR8Y5eNEiSJEmSNLa6DX63RcQrgXPq/YOA23vTJEmSJEnSWOp2qOergQOAPwELKNfZc8IXSZIkSZoAuu3xOwGYmZmLASJiM+BjlEAoSZIkSVqHddvj94TB0AeQmYuAHXvTJEmSJEnSWOo2+N0vIjYdvFN7/LrtLZQkSZIkjaNuw9vHgR9FxAWU6/gdAHyoZ62SJEmSJI2Zrnr8MvMs4CXALcBC4MWZeXYvGyZJkiRJGhtdD9fMzOuA63rYFkmSJElSD3R7jp8kSZIkaYIy+EmSJElS4wx+kiRJktQ4g58kSZIkNc7gJ0mSJEmNM/hJkiRJUuMMfpIkSZLUOIOfJEmSJDXO4CdJkiRJjTP4SZIkSVLjDH6SJEmS1DiDnyRJkiQ1zuAnSZIkSY0z+EmSJElS4wx+kiRJktQ4g58kSZIkNc7gJ0mSJEmNM/hJkiRJUuMMfpIkSZLUOIOfJEmSJDVuUq8qjoiNgcuBjerzXJCZx0XEI4Bzgc2Aa4BXZebfImIj4CxgJ+B24OWZObfWdTRwOHAP8LbMvLhX7ZYkSZKk1vSyx+8u4NmZ+URgB2BGROwGfBT4RGZuByymBDrq78WZ+WjgE3U5ImJ74EDgccAM4HMRsUEP2y1JkiRJTelZ8MvMgcxcVu9uWH8GgGcDF9TyWcB+9fa+9T718edERF8tPzcz78rMPwA3ALv2qt2SJEmS1JqeDfUEqD1zPwMeDXwW+B2wJDPvrovMB7aqt7cC5gFk5t0RcQfw4Fp+ZUe1nev805QpGzFpkh2BGlvTpk0e7yZIkiRJa6ynwS8z7wF2iIhpwGzgX4ZZbKD+7hvhsZHKV7Bs2V2r20xpREuWLB/vJkiSJEld6e+fOuJja2VWz8xcAnwP2A2YFhGDgXNr4OZ6ez4wHaA+/iBgUWf5MOtIkiRJklaiZ8EvIvprTx8RsQnwXOB64DLgpXWxmcCF9facep/6+Hczc6CWHxgRG9UZQbcDftKrdkuSJElSa3rZ4/cw4LKI+CVwNXBJZn4DOBJ4Z0TcQDmH74y6/BnAg2v5O4GjADLzN8D5wHXARcCb6xBSSZIkSVIX+gYG7nO63IS0cOHSNX4hM06aPRZNUUMuOmL/8W6CJEmS1JX+/qnDzY8CrKVz/CRJkiRJ48fgJ0mSJEmNM/hJkiRJUuMMfpIkSZLUOIOfJEmSJDXO4CdJkiRJjTP4SZIkSVLjDH6SJEmS1DiDnyRJkiQ1zuAnSZIkSY0z+EmSJElS4wx+kiRJktQ4g58kSZIkNc7gJ0mSJEmNM/hJkiRJUuMMfpIkSZLUOIOfJEmSJDXO4CdJkiRJjTP4SZIkSVLjDH6SJEmS1DiDnyRJkiQ1zuAnSZIkSY0z+EmSJElS4wx+kiRJktQ4g58kSZIkNc7gJ0mSJEmNM/hJkiRJUuMMfpIkSZLUOIOfJEmSJDXO4CdJkiRJjTP4SZIkSVLjDH6SJEmS1LhJvao4IqYDZwEPBf4BfCEzT4mIzYBxO/MGAAAQcklEQVTzgG2BucABmbk4IvqAU4DnA8uBQzPzmlrXTODYWvUHM3NWr9otSZIkSa3pZY/f3cC7MvNfgN2AN0fE9sBRwKWZuR1wab0PsDewXf15HXAqQA2KxwFPBnYFjouITXvYbkmSJElqSs+CX2YuGOyxy8ylwPXAVsC+wGCP3Sxgv3p7X+CszBzIzCuBaRHxMGAv4JLMXJSZi4FLgBm9arckSZIktaZnQz07RcS2wI7AVcAWmbkASjiMiIfUxbYC5nWsNr+WjVS+gilTNmLSpA3GvvFar02bNnm8myBJkiStsZ4Hv4iYAnwNeEdm/jkiRlq0b5iygVHKV7Bs2V2r3UZpJEuWLB/vJkiSJEld6e+fOuJjPZ3VMyI2pIS+r2Tm12vxLXUIJ/X3rbV8PjC9Y/WtgZtHKZckSZIkdaFnwa/O0nkGcH1mntzx0BxgZr09E7iwo/yQiOiLiN2AO+qQ0IuBPSNi0zqpy561TJIkSZLUhV4O9Xwa8CrgVxFxbS07BjgROD8iDgf+CLysPvYtyqUcbqBczuEwgMxcFBEnAFfX5T6QmYt62G5JkiRJakrfwMB9TpebkBYuXLrGL2TGSbPHoilqyEVH7D/eTZAkSZK60t8/dbj5UYAen+MnSZIkSRp/Bj9JkiRJapzBT5IkSZIaZ/CTJEmSpMYZ/CRJkiSpcQY/SZIkSWqcwU+SJEmSGmfwkyRJkqTGGfwkSZIkqXEGP0mSJElqnMFPkiRJkhpn8JMkSZKkxhn8JEmSJKlxBj9JkiRJapzBT5IkSZIaZ/CTJEmSpMYZ/CRJkiSpcQY/SZIkSWqcwU+SJEmSGmfwkyRJkqTGGfwkSZIkqXEGP0mSJElqnMFPkiRJkhpn8JMkSZKkxhn8JEmSJKlxBj9JkiRJapzBT5IkSZIaZ/CTJEmSpMYZ/CRJkiSpcQY/SZIkSWqcwU+SJEmSGmfwkyRJkqTGTepVxRHxJWAf4NbMfHwt2ww4D9gWmAsckJmLI6IPOAV4PrAcODQzr6nrzASOrdV+MDNn9arNkiRJktSiXvb4fRmYMaTsKODSzNwOuLTeB9gb2K7+vA44Ff4ZFI8DngzsChwXEZv2sM2SJEmS1JyeBb/MvBxYNKR4X2Cwx24WsF9H+VmZOZCZVwLTIuJhwF7AJZm5KDMXA5dw3zApSZIkSRpFz4Z6jmCLzFwAkJkLIuIhtXwrYF7HcvNr2Ujl9zFlykZMmrTB2LdY67Vp0yaPdxMkSZKkNba2g99I+oYpGxil/D6WLbtrTBskASxZsny8myBJkiR1pb9/6oiPre1ZPW+pQzipv2+t5fOB6R3LbQ3cPEq5JEmSJKlLazv4zQFm1tszgQs7yg+JiL6I2A24ow4JvRjYMyI2rZO67FnLJEmSJEld6uXlHM4B9gA2j4j5lNk5TwTOj4jDgT8CL6uLf4tyKYcbKJdzOAwgMxdFxAnA1XW5D2Tm0AljJEmSJEmj6BsYGPaUuQln4cKla/xCZpw0eyyaooZcdMT+490ESZIkqSv9/VOHmyMFWPtDPSVJkiRJa5nBT5IkSZIaZ/CTJEmSpMYZ/CRJkiSpcQY/SZIkSWqcwU+SJEmSGmfwkyRJkqTGGfwkSZIkqXEGP0mSJElqnMFPkiRJkhpn8JMkSZKkxhn8JEmSJKlxBj9JkiRJapzBT5IkSZIaZ/CTJEmSpMYZ/CRJkiSpcQY/SZIkSWqcwU+SJEmSGmfwkyRJkqTGGfwkSZIkqXEGP0mSJElqnMFPkiRJkhpn8JMkSZKkxhn8JEmSJKlxBj9JkiRJapzBT5IkSZIaZ/CTJEmSpMZNGu8GSJIk9cJ1L9lnvJugddD2X/vGeDdBGhf2+EmSJElS4wx+kiRJktQ4g58kSZIkNc7gJ0mSJEmNmzCTu0TEDOAUYAPgi5l54jg3SVpr/nLqU8e7CVoHbfLGH413EyRJ0gQxIXr8ImID4LPA3sD2wEERsf34tkqSJEmSJoaJ0uO3K3BDZv4eICLOBfYFrhvXVkmSJEmr6LwTvzfeTdA66OVH7dHT+vsGBgZ6+gRjISJeCszIzNfU+68CnpyZbxnflkmSJEnSum9CDPUE+oYpW/cTqyRJkiStAyZK8JsPTO+4vzVw8zi1RZIkSZImlIlyjt/VwHYR8QjgJuBA4BXj2yRJkiRJmhgmRI9fZt4NvAW4GLgeOD8zfzO+rZIkSZKkiWFCTO6yPouIAeDkzHxXvf9uYEpmHt+j53sH8IXMXN6L+qXhRMTxwLLM/Nh4t0Xrt4h4G/BG4IHA7NWZRCwi+oFvAPcH3paZPxjbVkqStOomRI/feu4u4MURsflaer53AJN7+QQRMVGGGEta/7wJeD7w3jWo4znAbzNzx25DX71erbROcz+VJjYPwNd9dwNfAP4fQw5EImIb4EtAP7AQOCwz/zhkmSnAp4GdKTOhvj8zvxYRpwK7AJsAF2TmcfWb7i2ByyLitsx8VkTsCbwf2Aj4XX2OZRHxfOBk4DbgGuCRmblPRGxW2/RIYDnwusz8Ze3R2RLYFrgtIqYDb83Ma2s7fwi8MTN/OWZbTuu0iHgvcAgwj7L//iwidgBOo3z58Dvg1Zm5OCJ2Ac4A7gSuAPbOzMdHxGTgy8BjKcPAtwXenJk/jYiDgGMoswJ/MzOPXJuvTxNPRJxG+eyaQ/kcGywf9rN2uHJgM+AkYJOIuBZ4CvB0hv8cnVvX3xP4DHBu71+lJqKI2Ba4CLgK2BH4X8rn53XAzpl5W0TsDHwsM/eo/3MfBWxFmRzvpMw8PSL2AD4A3A4EcDnwpsz8xyj/7+fifqqVWEv7qP/X15A9fhPDZ4GDI+JBQ8o/A5yVmU8AvgJ8aph1/w24IzP/tS733Vr+3szcGXgC8MyIeEJmfooyW+qzaujbHDgWeG5mPgn4KfDOiNgY+Dzl4Ht3ykHPoPcDP6/PdQxwVsdjOwH7ZuYrgC8ChwJExGOAjQx964+I2IkySdOOwIspX0JA2V+OrPvPr4DjavmZwBsy8ynAPR1VvQlYXJc/gbKPERFbAh8Fng3sAOwSEfv19EVpwsvMN1A/A4HFHQ+N9Fl7n/L6Zdb7gPMycwfgAQzzOdpR918zc/fM9GBaKxOUUzGeAPyZ8vk3micAL6B8+fC++rkIsCvwLuBfKQfeLx7p/31HXe6n6kYv91H/r48Bg98EkJl/phwQv23IQ08Bvlpvnw3sPszqz6UEx8G6Bg9mDoiIa4CfA48Dth9m3d1q+Q/rN9czgW0ovSu/z8w/1OXO6Vhn99oWMvO7wIM7AuuczPxLvf2fwD4RsSHwakqvjdYfT6ecP7W87t9zKAfI0zLz+3WZWcAzImIaMDUzf1TLv9pRz+7Ub58z89fA4JcHuwDfy8yFdXKorwDP6OkrUstG+qzt5jN4pM/RQeeNeWvVqnmZ+cN6+z8Yfn/rdGFm/iUzbwMuoxxMA/wkM3+fmfdQ/n/vjvupxkYv91H/r48Bh3pOHJ+kDKk8c5Rlhpupp29oeb0sxruBXeowui8DG4+w7iWZedCQ9XccpQ19o7TrzsGCzFweEZcA+wIHUIaiav3S7cxSw+1TK3tstHWkNTXSvjvSZ/B9Pkc73DlCuTTU0P1rgHI6yOCX+EP/jw+3/Ejl7qcaC73eR7WG7PGbIDJzEXA+cHhH8Y8ow+UADqac+zTUtymXwgAgIjalzFZ3J3BHRGwB7N2x/FJgar19JfC0iHh0XXdyHZb5W+CRdTw3wMs71r+8toU6Tvu22qMznC9ShkxdXV+f1h+XA/tHxCYRMRV4IWWfXBwRT6/LvAr4fu2lXhoRu9XyAzvquYLyxQERsT1lWAiUcwyeGRGb18kIDgK+j7R6Rvqs7eYzeKTPUWlVPTwinlJvH0TZ3+ZSh7gDLxmy/L4RsXFEPBjYg3JNZIBdI+IREXE/yv/vK3A/1djo5T7q//UxYPCbWD4OdM7u+TbgsIj4JeUg+e3DrPNBYNOI+HVE/IJy/t4vKEM8f0M5YfuHHct/AfifiLgsMxdSzsM7pz7HlcBj63DNNwEXRcQVwC3AHXX944Gd6/InUoaLDCszf0YZAz5aL6YalJnXUIYOXQt8DRic+XAm8O91/9mBcoI3lC88vhARP6Z86ze4v30O6K/LH0kZ6nlHZi4AjqYMHfkFcE1mXtjzF6ZWjfRZu9LP4JE+R9dGo9Wc64GZdT/aDDiVcl79KRHxA1Y8/xngJ8A3KfvcCZl5cy3/MeX/86+BP1CG3bufaiz0ch/1//oY8Dp+Wi0RMaXO9tVHOYfw/zLzE6tYx5bA9yhh8h89aKYaMbi/1dtHAQ/LzLfXb/02zMy/RsSjgEuBx2Tm38azvZI0luoIm29k5uO7XP54hrk2ah2J8+7M3Ges26j1m/voxOA5flpdr42ImZQLFP+cMstn1yLiEOBDwDsNferCCyLiaMpn1o3UGWEpl324rE4S1Ee5JIihT5IkaQh7/CRJkiSpcZ7jJ0mSJEmNM/hJkiRJUuMMfpIkSZLUOIOfJEmSJDXO4CdJak5EHB8R7x6n5z60Xq5GkqR1hsFPkqSxdSjQ0+AXEV6OSZK0SrycgySpCRHxXuAQYB6wEPgZ8B3gNMo1H38HvDozF0fELsAZwJ3AFcDeI114OCI2AD4K7AUMAKdn5qcj4n3AC4FNgB8BrwdeAnwZuAn4C/AUYHvgZGAKcBtwaGYuGKkNEbExcCqwM3A35Xqnl0XEocALgI2BB9TnuCAzL6zt/ApwXmbOWcNNKUlqkD1+kqQJLyJ2Ag4EdgReDOxSHzoLODIznwD8Cjiulp8JvCEznwLcs5LqXwc8Atix1vOVWv6ZzNylBsZNgH0y8wLgp8DBmbkDJbh9GnhpZu4EfAn40Era8GaAzPxX4CBgVg2DUILkzMx8NvBF4LD6+h8EPBX41ko3liRpvWTwkyS14OnA7Mxcnpl/BuZQesWmZeb36zKzgGdExDRgamb+qJZ/dSV1Pxc4LTPvBsjMRbX8WRFxVUT8Cng28Lhh1g3g8cAlEXEtcCyw9UrasDtwdn2u3wI3Ao+pj10y+Pz1dT06Ih5CCYhfG2yjJElDeY6AJKkV3Z670LeK9fYNrbv2wH0O2Dkz50XE8ZQhmMOt+5vaq9e5/qar2b47h9w/GziY0tv56lHWkySt5+zxkyS14HJg/4jYJCKmUs69uxNYHBFPr8u8Cvh+Zi4GlkbEbrX8wJXU/W3gDYMTqkTEZtwb8m6LiCnASzuWXwpMrbcT6I+Ip9R1N4yIx62kDZdTwhwR8Rjg4bWe4XwZeAdAZv5mJa9DkrQeM/hJkia8zLwGOA+4Fvga8IP60Ezg3yPil8AOwAdq+eHAFyLix5QetjtGqf6LwB+BX0bEL4BXZOYS4HTKeYP/BVzdsfyXgdPq0M4NKKHwo3Xdaynn4o3Whs8BG9QhpOdRJoO5a4TXfQtwPeV8QUmSRuSsnpKk9U5ETMnMZfX2UcDDMvPtE60NETGZEj6flJmjhVdJ0nrOc/wkSeujF0TE0ZT/gzdSrr03odoQEc+lzBJ6sqFPkrQy9vhJkgRExF6U6/V1+kNm7j8e7ZEkaSwZ/CRJkiSpcU7uIkmSJEmNM/hJkiRJUuMMfpIkSZLUOIOfJEmSJDXu/wNL0q89tMrXQwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f72943b1978>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,6))\n",
    "sns.countplot(x=twitter_archive_master['dog_category'])\n",
    "plt.title('Distribution of dog categories including uncategorized dogs.');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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bUyX1uSmDg2P1RJAkrQgiYifgpMxcf8yFJ1CU2wz8NjNHG7hF4yDKiJc3AquM0P2x70zW43oiRMR0YCHlthe397oeSRPDLpqStIKq1+e8gtKi8ExK985v9LQo/nqd5v2U1olXU1r7xhpsR8soIt5AaXl9MvAZyiiMfRvuJutxPVHq4EWXU7pmHg38htISLGkFYRdNSVpxTaF0HVtA6cp2C2NfgzURnkW55cFiSvfBd2Xmr3paUbO9k9JV9lZKN8Z39bac5TZZj+uJsgul++ldlO6dewwbcVVSw9lFU5IkSZIawhY8SZIkSWqIvrsGb/78RTY5SpIkSVphDQzMmDLSPFvwJEmSJKkhDHiSJEmS1BAGPEmSJElqCAOeJEmSJDWEAU+SJEmSGsKAJ0mSJEkNYcCTJEmSpIYw4EmSJElSQxjwJEmSJKkhDHiSJEmS1BAGPEmSJElqCAOeJEmSJDWEAU+SJEmSGsKAJ0mSJEkNYcCTJEmSpIaY1usCJEmSlsfNb9y51yVoEtrkgot7XYLUE7bgSZIkSVJDGPAkSZIkqSEMeJIkSZLUEAY8SZIkSWoIA54kSZIkNYQBT5IkSZIawoAnSZIkSQ1hwJMkSZKkhjDgSZIkSVJDTOvWhiNiXeAM4FnAX4CTM/O4iFgDOBfYAJgD7J6ZCyJiCnAc8BpgCbBvZl7XrfokSZIkqWm62YL3KHBwZv49sA3wnojYBPgwcHlmbgRcXp8D7ARsVP+9Azixi7VJkiRJUuN0LeBl5ryhFrjMXATcAqwN7AKcXhc7Hdi1Pt4FOCMzBzPzamBmRKzVrfokSZIkqWm61kWzVURsAGwB/Bx4ZmbOgxICI+IZdbG1gTtbVptbp81r3db06aswbdrUrtcsSZKk/jVz5uq9LkHqia4HvIiYDlwAHJSZD0bESItOaTNtcPiExYsfGcfqJEmS1EQLFy7pdQlS1wwMzBhxXldH0YyIlSnh7qzM/O86+e6hrpf1/3vq9LnAui2rrwPc1c36JEmSJKlJuhbw6qiYXwJuycxjW2ZdBMyuj2cD32yZvk9ETImIbYAHhrpySpIkSZLG1s0umi8F9gZ+ExHX12mHAkcB50XEAcDvgTfXeZdQbpHwO8ptEvbrYm2SJEmS1DhdC3iZeSXtr6sD2KHN8oPAe7pVjyRJkiQ1XVevwZMkSZIkTRwDniRJkiQ1hAFPkiRJkhrCgCdJkiRJDWHAkyRJkqSGMOBJkiRJUkMY8CRJkiSpIQx4kiRJktQQBjxJkiRJaggDniRJkiQ1hAFPkiRJkhrCgCdJkiRJDWHAkyRJkqSGMOBJkiRJUkMY8CRJkiSpIQx4kiRJktQQBjxJkiRJaggDniRJkiQ1hAFPkiRJkhrCgCdJkiRJDWHAkyRJkqSGMOBJkiRJUkMY8CRJkiSpIQx4kiRJktQQBjxJkiRJaggDniRJkiQ1hAFPkiRJkhrCgCdJkiRJDTGtWxuOiC8DOwP3ZOamddq5QNRFZgILM3PziNgAuAXIOu/qzDywW7VJkiRJUhN1LeABpwEnAGcMTcjMtww9johjgAdalr81MzfvYj2SJEmS1Ghd66KZmVcA97ebFxFTgN2Bc7q1f0mSJEla0XSzBW802wF3Z+b/tkzbMCJ+BTwIfCwzf9JuxenTV2HatKkTUaMkSZL61MyZq/e6BKknehXw9uSJrXfzgPUy876IeBFwYUQ8LzMfHL7i4sWPTFSNkiRJ6lMLFy7pdQlS1wwMzBhx3oSPohkR04DdgHOHpmXmI5l5X338S+BWYOOJrk2SJEmS+lkvbpPwKuC3mTl3aEJEDETE1Pr42cBGwG09qE2SJEmS+lbXAl5EnAP8rDyMuRFxQJ21B387uMrLgF9HxA3A+cCBmdl2gBZJkiRJUntTBgcHe13DUpk/f1F/FSxJkrrq5jfu3OsSNAltcsHFvS5B6pqBgRlTRprXiy6akiRJkqQuMOBJkiRJUkMY8CRJkiSpIQx4kiRJktQQBjxJkiRJaggDniRJkiQ1hAFPkiRJkhrCgCdJkiRJDWHAkyRJkqSGMOBJkiRJUkMY8CRJkiSpIQx4kiRJktQQBjxJkiRJaggDniRJkiQ1hAFPkiRJkhrCgCdJkiRJDWHAkyRJkqSGMOBJkiRJUkMY8CRJkiSpIQx4kiRJktQQBjxJkiRJaggDniRJkiQ1hAFPkiRJkhrCgCdJkiRJDWHAkyRJkqSGMOBJkiRJUkMY8CRJkiSpIQx4kiRJktQQ07q14Yj4MrAzcE9mblqnHQ68HZhfFzs0My+p8z4CHAA8Brw/M7/XrdokSZIkqYm6FvCA04ATgDOGTf9cZh7dOiEiNgH2AJ4HzAK+HxEbZ+ZjXaxPkiRJkhqla100M/MK4P4OF98F+FpmPpKZtwO/A7buVm2SJEmS1ETdbMEbyXsjYh/gWuDgzFwArA1c3bLM3Drtb0yfvgrTpk3tfpWSJEnqWzNnrt7rEqSemOiAdyJwJDBY/z8G2B+Y0mbZwXYbWLz4ka4VJ0mSpGZYuHBJr0uQumZgYMaI8yY04GXm3UOPI+IU4OL6dC6wbsui6wB3TWBpkiRJktT3JvQ2CRGxVsvTNwA31scXAXtExCoRsSGwEfCLiaxNkiRJkvpdN2+TcA6wPbBmRMwFDgO2j4jNKd0v5wDvBMjMmyLiPOBm4FHgPY6gKUmSJElLZ8rgYNtL3Sat+fMX9VfBkiSpq25+4869LkGT0CYXXDz2QlKfGhiY0W4ME2CCu2hKkiRJkrrHgCdJkiRJDWHAkyRJkqSGMOBJkiRJUkMY8CRJkiSpIQx4kiRJktQQBjxJkiRJaggDniRJkiQ1hAFPkiRJkhrCgCdJkiRJDWHAkyRJkqSGMOBJkiRJUkMY8CRJkiSpIQx4kiRJktQQBjxJkiRJaggDniRJkiQ1hAFPkiRJkhrCgCdJkiRJDWHAkyRJkqSGMOBJkiRJUkMY8CRJkiSpIQx4kiRJktQQBjxJkiRJaggDniRJkiQ1hAFPkiRJkhrCgCdJkiRJDWHAkyRJkqSGMOBJkiRJUkMY8CRJkiSpIaZ1a8MR8WVgZ+CezNy0TvsP4HXAn4Bbgf0yc2FEbADcAmRd/erMPLBbtUmSJElSE3WzBe80YMdh0y4DNs3MzYD/AT7SMu/WzNy8/jPcSZIkSdJS6lrAy8wrgPuHTbs0Mx+tT68G1unW/iVJkiRpRdO1Lpod2B84t+X5hhHxK+BB4GOZ+ZN2K02fvgrTpk2diPokSZLUp2bOXL3XJUg90ZOAFxEfBR4FzqqT5gHrZeZ9EfEi4MKIeF5mPjh83cWLH5nASiVJktSPFi5c0usSpK4ZGJgx4rwJH0UzImZTBl/ZKzMHATLzkcy8rz7+JWUAlo0nujZJkiRJ6mcTGvAiYkfgEOD1mbmkZfpAREytj58NbATcNpG1SZIkSVK/6+ZtEs4BtgfWjIi5wGGUUTNXAS6LCHj8dggvAz4ZEY8CjwEHZub9bTcsSZIkSWpryuDgYK9rWCrz5y/qr4IlSVJX3fzGnXtdgiahTS64uNclSF0zMDBjykjzJvwaPEmSJElSdxjwJEmSJKkhDHiSJEmS1BAGPEmSJElqCAOeJEmSJDVERwEvIi7vZJokSZIkqXdGvQ9eRKwKrE65l93TgKHhOJ8CzOpybZIkSZKkpTDWjc7fCRxECXO/5PGA9yDwhS7WJUmSJElaSqMGvMw8DjguIt6XmcdPUE2SJEmSpGUwVgseAJl5fES8BNigdZ3MPKNLdUmSJEmSllJHAS8izgSeA1wPPFYnDwIGPEmSJEmaJDoKeMCWwCaZOdjNYiRJkiRJy67T++DdCDyrm4VIkiRJkpZPpy14awI3R8QvgEeGJmbm67tSlSRJkiRpqXUa8A7vZhGSJEmSpOXX6SiaP+52IZIkSZKk5dPpKJqLKKNmAjwJWBl4KDOf0q3CJEmSJElLp9MWvBmtzyNiV2DrrlQkSZIkSVomnY6i+QSZeSHwynGuRZIkSZK0HDrtorlby9OVKPfF8554kiRJkjSJdDqK5utaHj8KzAF2GfdqJEmSJEnLrNNr8PbrdiGSJEmSpOXTaRfNdYDjgZdSumZeCXwgM+d2sTZJkiRJ0lLodJCVrwAXAbOAtYFv1WmSJEmSpEmi02vwBjKzNdCdFhEHdaMgSZIkSdKy6TTg3RsRbwXOqc/3BO7rTkmSJEmSpGXRaRfN/YHdgf8D5gFvAhx4RZIkSZImkU5b8I4EZmfmAoCIWAM4mhL8JEmSJEmTQKcBb7OhcAeQmfdHxBZjrRQRXwZ2Bu7JzE3rtDWAc4ENKPfT2z0zF0TEFOA44DXAEmDfzLxuKV6LJEmSJK3QOu2iuVJEPG3oSQ1pnYTD04Adh037MHB5Zm4EXF6fA+wEbFT/vQM4scPaJEmSJEl0HvCOAa6KiCMj4pPAVcBnx1opM68A7h82eRfg9Pr4dGDXlulnZOZgZl4NzIyItTqsT5IkSZJWeB110czMMyLiWuCVwBRgt8y8eRn3+czMnFe3Oy8inlGnrw3c2bLc3DptXuvK06evwrRpU5dx15IkSVoRzJy5eq9LkHqi02vwqIFuWUNdJ6a0mTY4fMLixY90sQRJkiQ1wcKFS3pdgtQ1AwMzRpzXaRfN8XT3UNfL+v89dfpcYN2W5dYB7prg2iRJkiSpb/Ui4F0EzK6PZwPfbJm+T0RMiYhtgAeGunJKkiRJksbWcRfNZRER5wDbA2tGxFzgMOAo4LyIOAD4PfDmuvgllFsk/I5ymwRvpC5JkiRJS6GrAS8z9xxh1g5tlh0E3tPNeiRJkiSpyXrRRVOSJEmS1AUGPEmSJElqCAOeJEmSJDWEAU+SJEmSGsKAJ0mSJEkNYcCTJEmSpIYw4EmSJElSQxjwJEmSJKkhDHiSJEmS1BAGPEmSJElqCAOeJEmSJDWEAU+SJEmSGsKAJ0mSJEkNYcCTJEmSpIYw4EmSJElSQxjwJEmSJKkhDHiSJEmS1BAGPEmSJElqCAOeJEmSJDWEAU+SJEmSGsKAJ0mSJEkNYcCTJEmSpIYw4EmSJElSQxjwJEmSJKkhDHiSJEmS1BAGPEmSJElqCAOeJEmSJDWEAU+SJEmSGmLaRO8wIgI4t2XSs4FPADOBtwPz6/RDM/OSCS5PkiRJkvrWhAe8zExgc4CImAr8AfgGsB/wucw8eqJrkiRJkqQm6HUXzR2AWzPzjh7XIUmSJEl9b8Jb8IbZAzin5fl7I2If4Frg4MxcMHyF6dNXYdq0qRNVnyRJkvrQzJmr97oEqSd6FvAi4knA64GP1EknAkcCg/X/Y4D9h6+3ePEjE1WiJEmS+tTChUt6XYLUNQMDM0ac18sWvJ2A6zLzboCh/wEi4hTg4l4VJkmSJEn9qJcBb09aumdGxFqZOa8+fQNwY0+qknro4RNf0usSNAmt9q6rel2CJEnqEz0JeBGxOvCPwDtbJn82IjandNGcM2yeJEmSJGkMPQl4mbkEePqwaXv3ohZJkiRJaope3yZBkiRJkjRODHiSJEmS1BAGPEmSJElqCAOeJEmSJDWEAU+SJEmSGsKAJ0mSJEkNYcCTJEmSpIYw4EmSJElSQxjwJEmSJKkhDHiSJEmS1BAGPEmSJElqCAOeJEmSJDWEAU+SJEmSGsKAJ0mSJEkNYcCTJEmSpIYw4EmSJElSQxjwJEmSJKkhDHiSJEmS1BAGPEmSJElqCAOeJEmSJDWEAU+SJEmSGsKAJ0mSJEkNYcCTJEmSpIYw4EmSJElSQxjwJEmSJKkhDHiSJEmS1BAGPEmSJElqCAOeJEmSJDXEtF7tOCLmAIuAx4BHM3PLiFgDOBfYAJgD7J6ZC3pUoiRJkiT1lV634L0iMzfPzC3r8w8Dl2fmRsDl9bkkSZIkqQO9DnjD7QKcXh+fDuzaw1okSZIkqa/0rIsmMAhcGhGDwH9l5snAMzNzHkBmzouIZwxfafr0VZg2beoElypNjId7XYAmpZkzV+91CZLUd/zs1IqqlwHvpZl5Vw1xl0XEbztZafHiR7pcliRNLgsXLul1CZLUd/zsVJMNDMwYcV7Pumhm5l31/3uAbwBbA3dHxFoA9f97elWfJEmSJPWbngS8iHhyRMwYegy8GrgRuAiYXRdAcdPIAAAOI0lEQVSbDXyzF/VJkiRJUj/qVRfNZwLfiIihGs7OzO9GxDXAeRFxAPB74M09qk+SJEmS+k5PAl5m3ga8oM30+4AdJr4iSZIkSep/k+02CZIkSZKkZWTAkyRJkqSGMOBJkiRJUkMY8CRJkiSpIQx4kiRJktQQBjxJkiRJaggDniRJkiQ1hAFPkiRJkhrCgCdJkiRJDWHAkyRJkqSGMOBJkiRJUkMY8CRJkiSpIQx4kiRJktQQBjxJkiRJaggDniRJkiQ1hAFPkiRJkhrCgCdJkiRJDWHAkyRJkqSGMOBJkiRJUkMY8CRJkiSpIQx4kiRJktQQBjxJkiRJaggDniRJkiQ1hAFPkiRJkhrCgCdJkiRJDWHAkyRJkqSGMOBJkiRJUkMY8CRJkiSpIaZN9A4jYl3gDOBZwF+AkzPzuIg4HHg7ML8uemhmXjLR9UmSJElSv5rwgAc8ChycmddFxAzglxFxWZ33ucw8ugc1SZIkSVLfm/CAl5nzgHn18aKIuAVYe6LrkCRJkqSm6UUL3l9FxAbAFsDPgZcC742IfYBrKa18C4avM336KkybNnVC65QmysO9LkCT0syZq/e6BEnqO352akXVs4AXEdOBC4CDMvPBiDgROBIYrP8fA+w/fL3Fix+Z0DolqdcWLlzS6xIkqe/42akmGxiYMeK8ngS8iFiZEu7Oysz/BsjMu1vmnwJc3IvaJEmSJKlf9WIUzSnAl4BbMvPYlulr1evzAN4A3DjRtUmSJEnj5dyjftTrEjQJveXD23d1+71owXspsDfwm4i4vk47FNgzIjandNGcA7yzB7VJkiRJUt/qxSiaVwJT2szynneSJEmStBxW6nUBkiRJkqTxYcCTJEmSpIYw4EmSJElSQxjwJEmSJKkhDHiSJEmS1BAGPEmSJElqCAOeJEmSJDWEAU+SJEmSGsKAJ0mSJEkNYcCTJEmSpIYw4EmSJElSQxjwJEmSJKkhDHiSJEmS1BAGPEmSJElqCAOeJEmSJDWEAU+SJEmSGsKAJ0mSJEkNYcCTJEmSpIYw4EmSJElSQxjwJEmSJKkhpvW6AEnS5Lfr13bsdQmahC7c47u9LkGSNIwteJIkSZLUEAY8SZIkSWoIA54kSZIkNYQBT5IkSZIawoAnSZIkSQ1hwJMkSZKkhjDgSZIkSVJDTLr74EXEjsBxwFTg1Mw8qsclSZIkSVJfmFQteBExFfgCsBOwCbBnRGzS26okSZIkqT9MqoAHbA38LjNvy8w/AV8DdulxTZIkSZLUF6YMDg72uoa/iog3ATtm5tvq872Bf8jM9/a2MkmSJEma/CZbC96UNtMmTwKVJEmSpElssgW8ucC6Lc/XAe7qUS2SJEmS1Fcm2yia1wAbRcSGwB+APYB/7m1JkiRJktQfJlULXmY+CrwX+B5wC3BeZt7U26okSZIkqT9MqkFWVmQRMQgcm5kH1+cfAqZn5uFd2t9BwMmZuaQb25faiYjDgcWZeXSva9GKLSLeD7wLeArwjWUZzCsiBoCLgScB78/Mn4xvlZIkLb1J1YK3gnsE2C0i1pyg/R0ErN7NHUTEZOsCLElD3g28BvjocmxjB+C3mblFp+Gu3u9VmtQ8TqX+5gn45PEocDLw/xh2whER6wNfBgaA+cB+mfn7YctMB44HtqSMPHpEZl4QEScCWwGrAedn5mH1m+tZwA8j4t7MfEVEvBo4AlgFuLXuY3FEvAY4FrgXuA54dmbuHBFr1JqeDSwB3pGZv64tNLOADYB7I2Jd4H2ZeX2t86fAuzLz1+P2zmlSi4iPAvsAd1KO319GxObASZQvGW4F9s/MBRGxFfAl4CHgSmCnzNw0IlYHTgP+jtJ9ewPgPZl5bUTsCRxKGYX325l5yES+PvWfiDiJ8tl1EeVzbGh628/adtOBNYDPAqtFxPXAi4HtaP85Oqeu/2rgBMo9XqW/EREbAN8Ffg5sAfwP5fPzZmDLzLw3IrYEjs7M7evf3OcAa1MGqftsZp4SEdsDnwTuAwK4Anh3Zv5llL/3c/A41Rgm6Bj17/pysgVvcvkCsFdEPHXY9BOAMzJzM+As4PNt1v048EBmPr8u94M6/aOZuSWwGfDyiNgsMz9PGZ30FTXcrQl8DHhVZr4QuBb4YESsCvwX5SR7W8rJzZAjgF/VfR0KnNEy70XALpn5z8CpwL4AEbExsIrhbsURES+iDJa0BbAb5csGKMfLIfX4+Q1wWJ3+FeDAzHwx8FjLpt4NLKjLH0k5xoiIWcBngFcCmwNbRcSuXX1R6nuZeSD1MxBY0DJrpM/av5lev7T6BHBuZm4OPJk2n6Mt2/5jZm6bmZ40ayxBuYRiM+BByuffaDYDXkv5kuET9XMRYGvgYOD5lBPs3Ub6e9+yLY9TdaKbx6h/18eBAW8SycwHKSe+7x8268XA2fXxmcC2bVZ/FSUgDm1r6KRl94i4DvgV8DxgkzbrblOn/7R+Ez0bWJ/SWnJbZt5elzunZZ1tay1k5g+Ap7cE04sy8+H6+OvAzhGxMrA/pRVGK47tKNc3LanH90WUE+GZmfnjuszpwMsiYiYwIzOvqtPPbtnOttRvkzPzRmDoS4KtgB9l5vw6SNNZwMu6+orUZCN91nbyGTzS5+iQc8e9WjXVnZn50/r4q7Q/3lp9MzMfzsx7gR9STpoBfpGZt2XmY5S/39vicarx0c1j1L/r48AumpPPf1K6Qn5llGXajYwzZfj0eruJDwFb1e5vpwGrjrDuZZm557D1txilhtFuSv/Q0ITMXBIRlwG7ALtTupBqxdLpSE7tjqmx5o22jrS8Rjp2R/oM/pvP0RYPjTBdGm748TVIuYxj6Ev54X/H2y0/0nSPU42Hbh+jWk624E0ymXk/cB5wQMvkqyjd3AD2olybNNyllFtMABART6OMDvcQ8EBEPBPYqWX5RcCM+vhq4KUR8dy67uq1O+VvgWfX/tYAb2lZ/4paC7Uf9b21haadUyldna6pr08rjiuAN0TEahExA3gd5ZhcEBHb1WX2Bn5cW50XRcQ2dfoeLdu5kvIFARGxCaU7B5RrAF4eEWvWQQH2BH6MtGxG+qzt5DN4pM9RaWmtFxEvro/3pBxvc6hd04E3Dlt+l4hYNSKeDmxPuacwwNYRsWFErET5+30lHqcaH908Rv27Pg4MeJPTMUDraJrvB/aLiF9TToY/0GadTwFPi4gbI+IGyvV1N1C6Zt5EuXD6py3Lnwx8JyJ+mJnzKdfJnVP3cTXwd7Wb5buB70bElcDdwAN1/cOBLevyR1G6ebSVmb+k9NEerVVSDZSZ11G6/FwPXAAMjTQ4G/iPevxsTrnQGsoXGydHxM8o3+INHW9fBAbq8odQumg+kJnzgI9QunzcAFyXmd/s+gtTU430WTvmZ/BIn6MTUbQa5xZgdj2O1gBOpFz3flxE/IQnXp8M8Avg25Rj7sjMvKtO/xnl7/ONwO2U7vIepxoP3TxG/bs+DrwPnkYVEdPr6FpTKNf4/W9mfm4ptzEL+BElNP6lC2WqIYaOt/r4w8BamfmB+i3eypn5x4h4DnA5sHFm/qmX9UrSeKo9Zi7OzE07XP5w2txbtPas+VBm7jzeNWrF5jHaH7wGT2N5e0TMptzI91eUUTU7FhH7AJ8GPmi4UwdeGxEfoXw23UEdgZVyO4Uf1sF6plButWG4kyRJGsYWPEmSJElqCK/BkyRJkqSGMOBJkiRJUkMY8CRJkiSpIQx4kiRJktQQBjxJUt+KiMMj4kM92ve+9TYwkiRNGgY8SZKWzb5AVwNeRHg7I0nSUvE2CZKkvhIRHwX2Ae4E5gO/BL4PnES5Z+KtwP6ZuSAitgK+BDwEXAnsNNINeiNiKvAZ4J+AQeCUzDw+Ij4BvA5YDbgKeCfwRuA04A/Aw8CLgU2AY4HpwL3Avpk5b6QaImJV4ERgS+BRyv1CfxgR+wKvBVYFnlz3cX5mfrPWeRZwbmZetJxvpSSpgWzBkyT1jYh4EbAHsAWwG7BVnXUGcEhmbgb8BjisTv8KcGBmvhh4bIzNvwPYENiibuesOv2EzNyqBsPVgJ0z83zgWmCvzNycEtCOB96UmS8Cvgx8eowa3gOQmc8H9gROr6EPSmCcnZmvBE4F9quv/6nAS4BLxnyzJEkrJAOeJKmfbAd8IzOXZOaDwEWUVq6ZmfnjuszpwMsiYiYwIzOvqtPPHmPbrwJOysxHATLz/jr9FRHx84j4DfBK4Hlt1g1gU+CyiLge+Biwzhg1bAucWff1W+AOYOM677Kh/dfX9dyIeAYlCF4wVKMkScPZt1+S1G86vbZgylJud8rwbdcWtS8CW2bmnRFxOKXrZLt1b6qtdK3rP20Z63to2PMzgb0orZf7j7KeJGkFZwueJKmfXAG8ISJWi4gZlGvjHgIWRMR2dZm9gR9n5gJgUURsU6fvMca2LwUOHBrYJCLW4PEwd29ETAfe1LL8ImBGfZzAQES8uK67ckQ8b4warqCENiJiY2C9up12TgMOAsjMm8Z4HZKkFZgBT5LUNzLzOuBc4HrgAuAnddZs4D8i4tfA5sAn6/QDgJMj4meUFrMHRtn8qcDvgV9HxA3AP2fmQuAUynV9FwLXtCx/GnBS7ZI5lRL+PlPXvZ5yrdxoNXwRmFq7fp5LGZTlkRFe993ALZTr+SRJGpGjaEqSGisipmfm4vr4w8BamfmBfqshIlanhMwXZuZoIVWStILzGjxJUpO9NiI+Qvl7dwfl3nV9VUNEvIoyKuexhjtJ0lhswZMkrVAi4p8o97trdXtmvqEX9UiSNJ4MeJIkSZLUEA6yIkmSJEkNYcCTJEmSpIYw4EmSJElSQxjwJEmSJKkh/j/XedeZOmEZvgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7294370f28>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,6))\n",
    "sns.countplot(x=(twitter_archive_master[twitter_archive_master['dog_category'] != 'No category']['dog_category']))\n",
    "plt.title('Distribution of dog categories excluding uncategorized dogs.');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "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>ratings</th>\n",
       "      <th>likes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ratings</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.174768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>likes</th>\n",
       "      <td>0.174768</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ratings     likes\n",
       "ratings  1.000000  0.174768\n",
       "likes    0.174768  1.000000"
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_master[['ratings','likes']].corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7294254470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f72943092e8>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,6))\n",
    "sns.lmplot(data=twitter_archive_master, x='ratings', y='likes', hue='dog_category')\n",
    "plt.title('Relationship between tweet likes and dog ratings.');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7294210cf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f72a042cf60>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,6))\n",
    "sns.lmplot(data=twitter_archive_master, x='retweet_count', y='likes', hue='dog_category')\n",
    "plt.title('Relationship between tweet likes and retweet counts.');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conclusion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The data wrangling process was carried out successfully for the relevant data. Different quality and tidiness issues were highlighted, cleaned, and tested using the relevant framework.\n",
    "Insights were then drawn from the cleaned data which coupled with some drawn up visualizations showed some pretty interesting details. However, it should be noted that the datasets in uestion still had some issues to be corrected, which coupled with appropriate domain knowledge should result in even more impressive and accurate insights."
   ]
  }
 ],
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