wrangle_act.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data wrangling WeRateDogs\n",
    "\n",
    "##### By Ruby Villacorta"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Table of Contents\n",
    "- [Introduction](#intro)\n",
    "- [Gathering data](#gather)\n",
    "- [Assessing data](#assess)\n",
    "   - [Quality](#quality)\n",
    "   - [Tidiness](#tidiness)\n",
    "- [Cleaning data](#clean)\n",
    "- [Storing, Analyzing, and Visualizing](#storing)\n",
    "   - [Insight one & visualization](#one)\n",
    "   - [Insight two](#two)\n",
    "   - [Insight three & visualization](#three)\n",
    "   - [Insight four & visualization](#four)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='intro'></a>\n",
    "## Introduction\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The purpose of this project is to put in practice what I learned in data wrangling data section from Udacity Data Analysis Nanodegree program. The dataset that is wrangled is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='gather'></a>\n",
    "## Gathering data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. **Twitter archive file:** download this file manually by clicking the following link: twitter_archive_enhanced.csv\n",
    "\n",
    "- **The tweet image predictions**, i.e., what breed of dog (or other object, animal, etc.) is present in each tweet according to a neural network. This file (image_predictions.tsv) is hosted on Udacity's servers and should be downloaded programmatically using the Requests library and the following URL: https://d17h27t6h515a5.cloudfront.net/topher/2017/August/599fd2ad_image-predictions/image-predictions.tsv\n",
    "\n",
    "- **Twitter API & JSON:** Each tweet's retweet count and favorite (\"like\") count at minimum, and any additional data you find interesting. Using the tweet IDs in the WeRateDogs Twitter archive, query the Twitter API for each tweet's JSON data using Python's Tweepy library and store each tweet's entire set of JSON data in a file called tweet_json.txt file. \n",
    "    Each tweet's JSON data should be written to its own line. Then read this .txt file line by line into a pandas DataFrame with (at minimum) tweet ID, retweet count, and favorite count. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**1. Twitter archive file**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Import all packages needed\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import requests\n",
    "import tweepy \n",
    "import json "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Read CSV file \n",
    "twitter_archive = pd.read_csv('twitter-archive-enhanced.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive.sort_values('timestamp')\n",
    "twitter_archive.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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": "markdown",
   "metadata": {},
   "source": [
    "**2. Tweet image prediction**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#URL downloaded programatically \n",
    "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', mode ='wb') as file:\n",
    "    file.write(response.content)\n",
    "\n",
    "#Read TSV file\n",
    "image_prediction = pd.read_csv('image-predictions.tsv', sep='\\t' )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#https://stackoverflow.com/questions/28384588/twitter-api-get-tweets-with-specific-id\n",
    "\n",
    "auth = tweepy.OAuthHandler('5Uur0mo4ol2kB8yhtZ1VxXS0u', 'h8E7fSpXWiMoBel7G1ZOAeu4Mgru0v0MtxH5ehYE1RKM89SiBH')\n",
    "auth.set_access_token('303562412-ct9aNnU0FQR0UKJVn1i1W3Y8omqSewiQWUcRaygB', 'D3qslrbdOU5fqTOp951kOIuZbkeTPBodnjNYoEGFR63Ft')\n",
    "api = tweepy.API(auth, \n",
    "                 parser = tweepy.parsers.JSONParser(), \n",
    "                 wait_on_rate_limit = True, \n",
    "                 wait_on_rate_limit_notify = True)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**3. Twitter API & JSON**\n",
    "\n",
    "https://stackoverflow.com/questions/47612822/how-to-create-pandas-dataframe-from-twitter-search-api"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Rate limit reached. Sleeping for: 606\n",
      "Rate limit reached. Sleeping for: 608\n"
     ]
    }
   ],
   "source": [
    "#Download Tweepy status object based on Tweet ID and store in list\n",
    "list_of_tweets = []\n",
    "# Tweets that can't be found are saved in the list below:\n",
    "cant_find_tweets_for_those_ids = []\n",
    "for tweet_id in twitter_archive['tweet_id']:   \n",
    "    try:\n",
    "        list_of_tweets.append(api.get_status(tweet_id))\n",
    "    except Exception as e:\n",
    "        cant_find_tweets_for_those_ids.append(tweet_id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The list of tweets 2345\n",
      "The list of tweets no found 11\n"
     ]
    }
   ],
   "source": [
    "print(\"The list of tweets\" ,len(list_of_tweets))\n",
    "print(\"The list of tweets no found\" , len(cant_find_tweets_for_those_ids))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Then in this code block we isolate the json part of each tweepy \n",
    "#status object that we have downloaded and we add them all into a list\n",
    "\n",
    "my_list_of_dicts = []\n",
    "for each_json_tweet in list_of_tweets:\n",
    "    my_list_of_dicts.append(each_json_tweet)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#we write this list into a txt file:\n",
    "\n",
    "with open('tweet_json.txt', 'w') as file:\n",
    "        file.write(json.dumps(my_list_of_dicts, indent=4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#identify information of interest from JSON dictionaries in txt file\n",
    "#and put it in a dataframe called tweet JSON\n",
    "my_demo_list = []\n",
    "with open('tweet_json.txt', encoding='utf-8') as json_file:  \n",
    "    all_data = json.load(json_file)\n",
    "    for each_dictionary in all_data:\n",
    "        tweet_id = each_dictionary['id']\n",
    "        whole_tweet = each_dictionary['text']\n",
    "        only_url = whole_tweet[whole_tweet.find('https'):]\n",
    "        favorite_count = each_dictionary['favorite_count']\n",
    "        retweet_count = each_dictionary['retweet_count']\n",
    "        followers_count = each_dictionary['user']['followers_count']\n",
    "        friends_count = each_dictionary['user']['friends_count']\n",
    "        whole_source = each_dictionary['source']\n",
    "        only_device = whole_source[whole_source.find('rel=\"nofollow\">') + 15:-4]\n",
    "        source = only_device\n",
    "        retweeted_status = each_dictionary['retweeted_status'] = each_dictionary.get('retweeted_status', 'Original tweet')\n",
    "        if retweeted_status == 'Original tweet':\n",
    "            url = only_url\n",
    "        else:\n",
    "            retweeted_status = 'This is a retweet'\n",
    "            url = 'This is a retweet'\n",
    "\n",
    "        my_demo_list.append({'tweet_id': str(tweet_id),\n",
    "                             'favorite_count': int(favorite_count),\n",
    "                             'retweet_count': int(retweet_count),\n",
    "                             'followers_count': int(followers_count),\n",
    "                             'friends_count': int(friends_count),\n",
    "                             'url': url,\n",
    "                             'source': source,\n",
    "                             'retweeted_status': retweeted_status,\n",
    "                            })\n",
    "        tweet_json = pd.DataFrame(my_demo_list, columns = ['tweet_id', 'favorite_count','retweet_count', \n",
    "                                                           'followers_count', 'friends_count','source', \n",
    "                                                           'retweeted_status', 'url'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'tweet_json' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-9-a57ef05f93cb>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtweet_json\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'tweet_json' is not defined"
     ]
    }
   ],
   "source": [
    "tweet_json.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2344 entries, 0 to 2343\n",
      "Data columns (total 8 columns):\n",
      "tweet_id            2344 non-null object\n",
      "favorite_count      2344 non-null int64\n",
      "retweet_count       2344 non-null int64\n",
      "followers_count     2344 non-null int64\n",
      "friends_count       2344 non-null int64\n",
      "source              2344 non-null object\n",
      "retweeted_status    2344 non-null object\n",
      "url                 2344 non-null object\n",
      "dtypes: int64(4), object(4)\n",
      "memory usage: 146.6+ KB\n"
     ]
    }
   ],
   "source": [
    "tweet_json.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='assess'></a>\n",
    "## Assessing data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visual assessment\n",
    "\n",
    "Each piece of gathered data is displayed in the Jupyter Notebook for visual assessment purposes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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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",
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       "      <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",
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       "  </thead>\n",
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       "      <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",
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       "      <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",
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       "      <td>None</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-31 00:18:03 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Archie. He is a rare Norwegian Pouncin...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/891815181...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Archie</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-30 15:58:51 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Darla. She commenced a snooze mid meal...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/891689557...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Darla</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-29 16:00:24 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Franklin. He would like you to stop ca...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/891327558...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Franklin</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>891087950875897856</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-29 00:08:17 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Here we have a majestic great white breaching ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/891087950...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>890971913173991426</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-28 16:27:12 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Meet Jax. He enjoys ice cream so much he gets ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://gofundme.com/ydvmve-surgery-for-jax,ht...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Jax</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>890729181411237888</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-28 00:22:40 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>When you watch your owner call another dog a g...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/890729181...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>890609185150312448</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-27 16:25:51 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Zoey. She doesn't want to be one of th...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/890609185...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Zoey</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>890240255349198849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-26 15:59:51 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Cassie. She is a college pup. Studying...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/890240255...</td>\n",
       "      <td>14</td>\n",
       "      <td>10</td>\n",
       "      <td>Cassie</td>\n",
       "      <td>doggo</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>890006608113172480</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-26 00:31:25 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Koda. He is a South Australian decksha...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/890006608...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Koda</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>889880896479866881</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-25 16:11:53 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Bruno. He is a service shark. Only get...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/889880896...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Bruno</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>889665388333682689</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-25 01:55:32 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Here's a puppo that seems to be on the fence a...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/889665388...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>puppo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>889638837579907072</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-25 00:10:02 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Ted. He does his best. Sometimes that'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/889638837...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Ted</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>889531135344209921</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-24 17:02:04 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Stuart. He's sporting his favorite fan...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/889531135...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Stuart</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>puppo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>889278841981685760</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-24 00:19:32 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Oliver. You're witnessing one of his m...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/889278841...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Oliver</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>888917238123831296</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-23 00:22:39 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Jim. He found a fren. Taught him how t...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/888917238...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Jim</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>888804989199671297</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-22 16:56:37 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Zeke. He has a new stick. Very proud o...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/888804989...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Zeke</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>888554962724278272</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-22 00:23:06 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Ralphus. He's powering up. Attempting ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/888554962...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Ralphus</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>888202515573088257</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-21 01:02:36 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @dog_rates: This is Canela. She attempted s...</td>\n",
       "      <td>8.874740e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>2017-07-19 00:47:34 +0000</td>\n",
       "      <td>https://twitter.com/dog_rates/status/887473957...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Canela</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>888078434458587136</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-20 16:49:33 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Gerald. He was just told he didn't get...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/888078434...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Gerald</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>887705289381826560</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-19 16:06:48 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Jeffrey. He has a monopoly on the pool...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/887705289...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Jeffrey</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>887517139158093824</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-19 03:39:09 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>I've yet to rate a Venezuelan Hover Wiener. Th...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/887517139...</td>\n",
       "      <td>14</td>\n",
       "      <td>10</td>\n",
       "      <td>such</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>887473957103951883</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-19 00:47:34 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Canela. She attempted some fancy porch...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/887473957...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Canela</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>887343217045368832</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-18 16:08:03 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>You may not have known you needed to see this ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/887343217...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>887101392804085760</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-18 00:07:08 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This... is a Jubilant Antarctic House Bear. We...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/887101392...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>886983233522544640</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-17 16:17:36 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Maya. She's very shy. Rarely leaves he...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/886983233...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Maya</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>886736880519319552</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-16 23:58:41 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Mingus. He's a wonderful father to his...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.gofundme.com/mingusneedsus,https:/...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Mingus</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>886680336477933568</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-16 20:14:00 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Derek. He's late for a dog meeting. 13...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/886680336...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Derek</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>886366144734445568</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-15 23:25:31 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Roscoe. Another pupper fallen victim t...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/886366144...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Roscoe</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2326</th>\n",
       "      <td>666411507551481857</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-17 00:24:19 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is quite the dog. Gets really excited whe...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666411507...</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>quite</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2327</th>\n",
       "      <td>666407126856765440</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-17 00:06:54 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is a southern Vesuvius bumblegruff. Can d...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666407126...</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>a</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2328</th>\n",
       "      <td>666396247373291520</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 23:23:41 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Oh goodness. A super rare northeast Qdoba kang...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666396247...</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2329</th>\n",
       "      <td>666373753744588802</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 21:54:18 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Those are sunglasses and a jean jacket. 11/10 ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666373753...</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2330</th>\n",
       "      <td>666362758909284353</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 21:10:36 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Unique dog here. Very small. Lives in containe...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666362758...</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2331</th>\n",
       "      <td>666353288456101888</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 20:32:58 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Here we have a mixed Asiago from the Galápagos...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666353288...</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2332</th>\n",
       "      <td>666345417576210432</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 20:01:42 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Look at this jokester thinking seat belt laws ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666345417...</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2333</th>\n",
       "      <td>666337882303524864</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 19:31:45 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is an extremely rare horned Parthenon. No...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666337882...</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>an</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2334</th>\n",
       "      <td>666293911632134144</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 16:37:02 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is a funny dog. Weird toes. Won't come do...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666293911...</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>a</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2335</th>\n",
       "      <td>666287406224695296</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 16:11:11 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is an Albanian 3 1/2 legged  Episcopalian...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666287406...</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>an</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2336</th>\n",
       "      <td>666273097616637952</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 15:14:19 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Can take selfies 11/10 https://t.co/ws2AMaNwPW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666273097...</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2337</th>\n",
       "      <td>666268910803644416</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 14:57:41 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Very concerned about fellow dog trapped in com...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666268910...</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2338</th>\n",
       "      <td>666104133288665088</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 04:02:55 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Not familiar with this breed. No tail (weird)....</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666104133...</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2339</th>\n",
       "      <td>666102155909144576</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 03:55:04 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Oh my. Here you are seeing an Adobe Setter giv...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666102155...</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2340</th>\n",
       "      <td>666099513787052032</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 03:44:34 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Can stand on stump for what seems like a while...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666099513...</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2341</th>\n",
       "      <td>666094000022159362</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 03:22:39 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This appears to be a Mongolian Presbyterian mi...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666094000...</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2342</th>\n",
       "      <td>666082916733198337</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 02:38:37 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Here we have a well-established sunblockerspan...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666082916...</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2343</th>\n",
       "      <td>666073100786774016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 01:59:36 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Let's hope this flight isn't Malaysian (lol). ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666073100...</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2344</th>\n",
       "      <td>666071193221509120</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 01:52:02 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Here we have a northern speckled Rhododendron....</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666071193...</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2345</th>\n",
       "      <td>666063827256086533</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 01:22:45 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is the happiest dog you will ever see. Ve...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666063827...</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>the</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2346</th>\n",
       "      <td>666058600524156928</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 01:01:59 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Here is the Rand Paul of retrievers folks! He'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666058600...</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>the</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2347</th>\n",
       "      <td>666057090499244032</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 00:55:59 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>My oh my. This is a rare blond Canadian terrie...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666057090...</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>a</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2348</th>\n",
       "      <td>666055525042405380</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 00:49:46 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Here is a Siberian heavily armored polar bear ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666055525...</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>a</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2349</th>\n",
       "      <td>666051853826850816</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 00:35:11 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is an odd dog. Hard on the outside but lo...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666051853...</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>an</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2350</th>\n",
       "      <td>666050758794694657</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 00:30:50 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is a truly beautiful English Wilson Staff...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666050758...</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>a</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2351</th>\n",
       "      <td>666049248165822465</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 00:24:50 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Here we have a 1949 1st generation vulpix. Enj...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666049248...</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2352</th>\n",
       "      <td>666044226329800704</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-16 00:04:52 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is a purebred Piers Morgan. Loves to Netf...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666044226...</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>a</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2353</th>\n",
       "      <td>666033412701032449</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-15 23:21:54 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Here is a very happy pup. Big fan of well-main...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666033412...</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>a</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2354</th>\n",
       "      <td>666029285002620928</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-15 23:05:30 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is a western brown Mitsubishi terrier. Up...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666029285...</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>a</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2355</th>\n",
       "      <td>666020888022790149</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-15 22:32:08 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Here we have a Japanese Irish Setter. Lost eye...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/666020888...</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2356 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id  in_reply_to_status_id  in_reply_to_user_id  \\\n",
       "0     892420643555336193                    NaN                  NaN   \n",
       "1     892177421306343426                    NaN                  NaN   \n",
       "2     891815181378084864                    NaN                  NaN   \n",
       "3     891689557279858688                    NaN                  NaN   \n",
       "4     891327558926688256                    NaN                  NaN   \n",
       "5     891087950875897856                    NaN                  NaN   \n",
       "6     890971913173991426                    NaN                  NaN   \n",
       "7     890729181411237888                    NaN                  NaN   \n",
       "8     890609185150312448                    NaN                  NaN   \n",
       "9     890240255349198849                    NaN                  NaN   \n",
       "10    890006608113172480                    NaN                  NaN   \n",
       "11    889880896479866881                    NaN                  NaN   \n",
       "12    889665388333682689                    NaN                  NaN   \n",
       "13    889638837579907072                    NaN                  NaN   \n",
       "14    889531135344209921                    NaN                  NaN   \n",
       "15    889278841981685760                    NaN                  NaN   \n",
       "16    888917238123831296                    NaN                  NaN   \n",
       "17    888804989199671297                    NaN                  NaN   \n",
       "18    888554962724278272                    NaN                  NaN   \n",
       "19    888202515573088257                    NaN                  NaN   \n",
       "20    888078434458587136                    NaN                  NaN   \n",
       "21    887705289381826560                    NaN                  NaN   \n",
       "22    887517139158093824                    NaN                  NaN   \n",
       "23    887473957103951883                    NaN                  NaN   \n",
       "24    887343217045368832                    NaN                  NaN   \n",
       "25    887101392804085760                    NaN                  NaN   \n",
       "26    886983233522544640                    NaN                  NaN   \n",
       "27    886736880519319552                    NaN                  NaN   \n",
       "28    886680336477933568                    NaN                  NaN   \n",
       "29    886366144734445568                    NaN                  NaN   \n",
       "...                  ...                    ...                  ...   \n",
       "2326  666411507551481857                    NaN                  NaN   \n",
       "2327  666407126856765440                    NaN                  NaN   \n",
       "2328  666396247373291520                    NaN                  NaN   \n",
       "2329  666373753744588802                    NaN                  NaN   \n",
       "2330  666362758909284353                    NaN                  NaN   \n",
       "2331  666353288456101888                    NaN                  NaN   \n",
       "2332  666345417576210432                    NaN                  NaN   \n",
       "2333  666337882303524864                    NaN                  NaN   \n",
       "2334  666293911632134144                    NaN                  NaN   \n",
       "2335  666287406224695296                    NaN                  NaN   \n",
       "2336  666273097616637952                    NaN                  NaN   \n",
       "2337  666268910803644416                    NaN                  NaN   \n",
       "2338  666104133288665088                    NaN                  NaN   \n",
       "2339  666102155909144576                    NaN                  NaN   \n",
       "2340  666099513787052032                    NaN                  NaN   \n",
       "2341  666094000022159362                    NaN                  NaN   \n",
       "2342  666082916733198337                    NaN                  NaN   \n",
       "2343  666073100786774016                    NaN                  NaN   \n",
       "2344  666071193221509120                    NaN                  NaN   \n",
       "2345  666063827256086533                    NaN                  NaN   \n",
       "2346  666058600524156928                    NaN                  NaN   \n",
       "2347  666057090499244032                    NaN                  NaN   \n",
       "2348  666055525042405380                    NaN                  NaN   \n",
       "2349  666051853826850816                    NaN                  NaN   \n",
       "2350  666050758794694657                    NaN                  NaN   \n",
       "2351  666049248165822465                    NaN                  NaN   \n",
       "2352  666044226329800704                    NaN                  NaN   \n",
       "2353  666033412701032449                    NaN                  NaN   \n",
       "2354  666029285002620928                    NaN                  NaN   \n",
       "2355  666020888022790149                    NaN                  NaN   \n",
       "\n",
       "                      timestamp  \\\n",
       "0     2017-08-01 16:23:56 +0000   \n",
       "1     2017-08-01 00:17:27 +0000   \n",
       "2     2017-07-31 00:18:03 +0000   \n",
       "3     2017-07-30 15:58:51 +0000   \n",
       "4     2017-07-29 16:00:24 +0000   \n",
       "5     2017-07-29 00:08:17 +0000   \n",
       "6     2017-07-28 16:27:12 +0000   \n",
       "7     2017-07-28 00:22:40 +0000   \n",
       "8     2017-07-27 16:25:51 +0000   \n",
       "9     2017-07-26 15:59:51 +0000   \n",
       "10    2017-07-26 00:31:25 +0000   \n",
       "11    2017-07-25 16:11:53 +0000   \n",
       "12    2017-07-25 01:55:32 +0000   \n",
       "13    2017-07-25 00:10:02 +0000   \n",
       "14    2017-07-24 17:02:04 +0000   \n",
       "15    2017-07-24 00:19:32 +0000   \n",
       "16    2017-07-23 00:22:39 +0000   \n",
       "17    2017-07-22 16:56:37 +0000   \n",
       "18    2017-07-22 00:23:06 +0000   \n",
       "19    2017-07-21 01:02:36 +0000   \n",
       "20    2017-07-20 16:49:33 +0000   \n",
       "21    2017-07-19 16:06:48 +0000   \n",
       "22    2017-07-19 03:39:09 +0000   \n",
       "23    2017-07-19 00:47:34 +0000   \n",
       "24    2017-07-18 16:08:03 +0000   \n",
       "25    2017-07-18 00:07:08 +0000   \n",
       "26    2017-07-17 16:17:36 +0000   \n",
       "27    2017-07-16 23:58:41 +0000   \n",
       "28    2017-07-16 20:14:00 +0000   \n",
       "29    2017-07-15 23:25:31 +0000   \n",
       "...                         ...   \n",
       "2326  2015-11-17 00:24:19 +0000   \n",
       "2327  2015-11-17 00:06:54 +0000   \n",
       "2328  2015-11-16 23:23:41 +0000   \n",
       "2329  2015-11-16 21:54:18 +0000   \n",
       "2330  2015-11-16 21:10:36 +0000   \n",
       "2331  2015-11-16 20:32:58 +0000   \n",
       "2332  2015-11-16 20:01:42 +0000   \n",
       "2333  2015-11-16 19:31:45 +0000   \n",
       "2334  2015-11-16 16:37:02 +0000   \n",
       "2335  2015-11-16 16:11:11 +0000   \n",
       "2336  2015-11-16 15:14:19 +0000   \n",
       "2337  2015-11-16 14:57:41 +0000   \n",
       "2338  2015-11-16 04:02:55 +0000   \n",
       "2339  2015-11-16 03:55:04 +0000   \n",
       "2340  2015-11-16 03:44:34 +0000   \n",
       "2341  2015-11-16 03:22:39 +0000   \n",
       "2342  2015-11-16 02:38:37 +0000   \n",
       "2343  2015-11-16 01:59:36 +0000   \n",
       "2344  2015-11-16 01:52:02 +0000   \n",
       "2345  2015-11-16 01:22:45 +0000   \n",
       "2346  2015-11-16 01:01:59 +0000   \n",
       "2347  2015-11-16 00:55:59 +0000   \n",
       "2348  2015-11-16 00:49:46 +0000   \n",
       "2349  2015-11-16 00:35:11 +0000   \n",
       "2350  2015-11-16 00:30:50 +0000   \n",
       "2351  2015-11-16 00:24:50 +0000   \n",
       "2352  2015-11-16 00:04:52 +0000   \n",
       "2353  2015-11-15 23:21:54 +0000   \n",
       "2354  2015-11-15 23:05:30 +0000   \n",
       "2355  2015-11-15 22:32:08 +0000   \n",
       "\n",
       "                                                 source  \\\n",
       "0     <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "1     <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2     <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "3     <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "4     <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "5     <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "6     <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "7     <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "8     <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "9     <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "10    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "11    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "12    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "13    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "14    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "15    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "16    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "17    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "18    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "19    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "20    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "21    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "22    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "23    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "24    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "25    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "26    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "27    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "28    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "29    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "...                                                 ...   \n",
       "2326  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2327  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2328  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2329  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2330  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2331  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2332  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2333  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2334  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2335  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2336  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2337  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2338  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2339  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2340  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2341  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2342  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2343  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2344  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2345  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2346  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2347  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2348  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2349  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2350  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2351  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2352  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2353  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2354  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2355  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "\n",
       "                                                   text  retweeted_status_id  \\\n",
       "0     This is Phineas. He's a mystical boy. Only eve...                  NaN   \n",
       "1     This is Tilly. She's just checking pup on you....                  NaN   \n",
       "2     This is Archie. He is a rare Norwegian Pouncin...                  NaN   \n",
       "3     This is Darla. She commenced a snooze mid meal...                  NaN   \n",
       "4     This is Franklin. He would like you to stop ca...                  NaN   \n",
       "5     Here we have a majestic great white breaching ...                  NaN   \n",
       "6     Meet Jax. He enjoys ice cream so much he gets ...                  NaN   \n",
       "7     When you watch your owner call another dog a g...                  NaN   \n",
       "8     This is Zoey. She doesn't want to be one of th...                  NaN   \n",
       "9     This is Cassie. She is a college pup. Studying...                  NaN   \n",
       "10    This is Koda. He is a South Australian decksha...                  NaN   \n",
       "11    This is Bruno. He is a service shark. Only get...                  NaN   \n",
       "12    Here's a puppo that seems to be on the fence a...                  NaN   \n",
       "13    This is Ted. He does his best. Sometimes that'...                  NaN   \n",
       "14    This is Stuart. He's sporting his favorite fan...                  NaN   \n",
       "15    This is Oliver. You're witnessing one of his m...                  NaN   \n",
       "16    This is Jim. He found a fren. Taught him how t...                  NaN   \n",
       "17    This is Zeke. He has a new stick. Very proud o...                  NaN   \n",
       "18    This is Ralphus. He's powering up. Attempting ...                  NaN   \n",
       "19    RT @dog_rates: This is Canela. She attempted s...         8.874740e+17   \n",
       "20    This is Gerald. He was just told he didn't get...                  NaN   \n",
       "21    This is Jeffrey. He has a monopoly on the pool...                  NaN   \n",
       "22    I've yet to rate a Venezuelan Hover Wiener. Th...                  NaN   \n",
       "23    This is Canela. She attempted some fancy porch...                  NaN   \n",
       "24    You may not have known you needed to see this ...                  NaN   \n",
       "25    This... is a Jubilant Antarctic House Bear. We...                  NaN   \n",
       "26    This is Maya. She's very shy. Rarely leaves he...                  NaN   \n",
       "27    This is Mingus. He's a wonderful father to his...                  NaN   \n",
       "28    This is Derek. He's late for a dog meeting. 13...                  NaN   \n",
       "29    This is Roscoe. Another pupper fallen victim t...                  NaN   \n",
       "...                                                 ...                  ...   \n",
       "2326  This is quite the dog. Gets really excited whe...                  NaN   \n",
       "2327  This is a southern Vesuvius bumblegruff. Can d...                  NaN   \n",
       "2328  Oh goodness. A super rare northeast Qdoba kang...                  NaN   \n",
       "2329  Those are sunglasses and a jean jacket. 11/10 ...                  NaN   \n",
       "2330  Unique dog here. Very small. Lives in containe...                  NaN   \n",
       "2331  Here we have a mixed Asiago from the Galápagos...                  NaN   \n",
       "2332  Look at this jokester thinking seat belt laws ...                  NaN   \n",
       "2333  This is an extremely rare horned Parthenon. No...                  NaN   \n",
       "2334  This is a funny dog. Weird toes. Won't come do...                  NaN   \n",
       "2335  This is an Albanian 3 1/2 legged  Episcopalian...                  NaN   \n",
       "2336     Can take selfies 11/10 https://t.co/ws2AMaNwPW                  NaN   \n",
       "2337  Very concerned about fellow dog trapped in com...                  NaN   \n",
       "2338  Not familiar with this breed. No tail (weird)....                  NaN   \n",
       "2339  Oh my. Here you are seeing an Adobe Setter giv...                  NaN   \n",
       "2340  Can stand on stump for what seems like a while...                  NaN   \n",
       "2341  This appears to be a Mongolian Presbyterian mi...                  NaN   \n",
       "2342  Here we have a well-established sunblockerspan...                  NaN   \n",
       "2343  Let's hope this flight isn't Malaysian (lol). ...                  NaN   \n",
       "2344  Here we have a northern speckled Rhododendron....                  NaN   \n",
       "2345  This is the happiest dog you will ever see. Ve...                  NaN   \n",
       "2346  Here is the Rand Paul of retrievers folks! He'...                  NaN   \n",
       "2347  My oh my. This is a rare blond Canadian terrie...                  NaN   \n",
       "2348  Here is a Siberian heavily armored polar bear ...                  NaN   \n",
       "2349  This is an odd dog. Hard on the outside but lo...                  NaN   \n",
       "2350  This is a truly beautiful English Wilson Staff...                  NaN   \n",
       "2351  Here we have a 1949 1st generation vulpix. Enj...                  NaN   \n",
       "2352  This is a purebred Piers Morgan. Loves to Netf...                  NaN   \n",
       "2353  Here is a very happy pup. Big fan of well-main...                  NaN   \n",
       "2354  This is a western brown Mitsubishi terrier. Up...                  NaN   \n",
       "2355  Here we have a Japanese Irish Setter. Lost eye...                  NaN   \n",
       "\n",
       "      retweeted_status_user_id retweeted_status_timestamp  \\\n",
       "0                          NaN                        NaN   \n",
       "1                          NaN                        NaN   \n",
       "2                          NaN                        NaN   \n",
       "3                          NaN                        NaN   \n",
       "4                          NaN                        NaN   \n",
       "5                          NaN                        NaN   \n",
       "6                          NaN                        NaN   \n",
       "7                          NaN                        NaN   \n",
       "8                          NaN                        NaN   \n",
       "9                          NaN                        NaN   \n",
       "10                         NaN                        NaN   \n",
       "11                         NaN                        NaN   \n",
       "12                         NaN                        NaN   \n",
       "13                         NaN                        NaN   \n",
       "14                         NaN                        NaN   \n",
       "15                         NaN                        NaN   \n",
       "16                         NaN                        NaN   \n",
       "17                         NaN                        NaN   \n",
       "18                         NaN                        NaN   \n",
       "19                4.196984e+09  2017-07-19 00:47:34 +0000   \n",
       "20                         NaN                        NaN   \n",
       "21                         NaN                        NaN   \n",
       "22                         NaN                        NaN   \n",
       "23                         NaN                        NaN   \n",
       "24                         NaN                        NaN   \n",
       "25                         NaN                        NaN   \n",
       "26                         NaN                        NaN   \n",
       "27                         NaN                        NaN   \n",
       "28                         NaN                        NaN   \n",
       "29                         NaN                        NaN   \n",
       "...                        ...                        ...   \n",
       "2326                       NaN                        NaN   \n",
       "2327                       NaN                        NaN   \n",
       "2328                       NaN                        NaN   \n",
       "2329                       NaN                        NaN   \n",
       "2330                       NaN                        NaN   \n",
       "2331                       NaN                        NaN   \n",
       "2332                       NaN                        NaN   \n",
       "2333                       NaN                        NaN   \n",
       "2334                       NaN                        NaN   \n",
       "2335                       NaN                        NaN   \n",
       "2336                       NaN                        NaN   \n",
       "2337                       NaN                        NaN   \n",
       "2338                       NaN                        NaN   \n",
       "2339                       NaN                        NaN   \n",
       "2340                       NaN                        NaN   \n",
       "2341                       NaN                        NaN   \n",
       "2342                       NaN                        NaN   \n",
       "2343                       NaN                        NaN   \n",
       "2344                       NaN                        NaN   \n",
       "2345                       NaN                        NaN   \n",
       "2346                       NaN                        NaN   \n",
       "2347                       NaN                        NaN   \n",
       "2348                       NaN                        NaN   \n",
       "2349                       NaN                        NaN   \n",
       "2350                       NaN                        NaN   \n",
       "2351                       NaN                        NaN   \n",
       "2352                       NaN                        NaN   \n",
       "2353                       NaN                        NaN   \n",
       "2354                       NaN                        NaN   \n",
       "2355                       NaN                        NaN   \n",
       "\n",
       "                                          expanded_urls  rating_numerator  \\\n",
       "0     https://twitter.com/dog_rates/status/892420643...                13   \n",
       "1     https://twitter.com/dog_rates/status/892177421...                13   \n",
       "2     https://twitter.com/dog_rates/status/891815181...                12   \n",
       "3     https://twitter.com/dog_rates/status/891689557...                13   \n",
       "4     https://twitter.com/dog_rates/status/891327558...                12   \n",
       "5     https://twitter.com/dog_rates/status/891087950...                13   \n",
       "6     https://gofundme.com/ydvmve-surgery-for-jax,ht...                13   \n",
       "7     https://twitter.com/dog_rates/status/890729181...                13   \n",
       "8     https://twitter.com/dog_rates/status/890609185...                13   \n",
       "9     https://twitter.com/dog_rates/status/890240255...                14   \n",
       "10    https://twitter.com/dog_rates/status/890006608...                13   \n",
       "11    https://twitter.com/dog_rates/status/889880896...                13   \n",
       "12    https://twitter.com/dog_rates/status/889665388...                13   \n",
       "13    https://twitter.com/dog_rates/status/889638837...                12   \n",
       "14    https://twitter.com/dog_rates/status/889531135...                13   \n",
       "15    https://twitter.com/dog_rates/status/889278841...                13   \n",
       "16    https://twitter.com/dog_rates/status/888917238...                12   \n",
       "17    https://twitter.com/dog_rates/status/888804989...                13   \n",
       "18    https://twitter.com/dog_rates/status/888554962...                13   \n",
       "19    https://twitter.com/dog_rates/status/887473957...                13   \n",
       "20    https://twitter.com/dog_rates/status/888078434...                12   \n",
       "21    https://twitter.com/dog_rates/status/887705289...                13   \n",
       "22    https://twitter.com/dog_rates/status/887517139...                14   \n",
       "23    https://twitter.com/dog_rates/status/887473957...                13   \n",
       "24    https://twitter.com/dog_rates/status/887343217...                13   \n",
       "25    https://twitter.com/dog_rates/status/887101392...                12   \n",
       "26    https://twitter.com/dog_rates/status/886983233...                13   \n",
       "27    https://www.gofundme.com/mingusneedsus,https:/...                13   \n",
       "28    https://twitter.com/dog_rates/status/886680336...                13   \n",
       "29    https://twitter.com/dog_rates/status/886366144...                12   \n",
       "...                                                 ...               ...   \n",
       "2326  https://twitter.com/dog_rates/status/666411507...                 2   \n",
       "2327  https://twitter.com/dog_rates/status/666407126...                 7   \n",
       "2328  https://twitter.com/dog_rates/status/666396247...                 9   \n",
       "2329  https://twitter.com/dog_rates/status/666373753...                11   \n",
       "2330  https://twitter.com/dog_rates/status/666362758...                 6   \n",
       "2331  https://twitter.com/dog_rates/status/666353288...                 8   \n",
       "2332  https://twitter.com/dog_rates/status/666345417...                10   \n",
       "2333  https://twitter.com/dog_rates/status/666337882...                 9   \n",
       "2334  https://twitter.com/dog_rates/status/666293911...                 3   \n",
       "2335  https://twitter.com/dog_rates/status/666287406...                 1   \n",
       "2336  https://twitter.com/dog_rates/status/666273097...                11   \n",
       "2337  https://twitter.com/dog_rates/status/666268910...                10   \n",
       "2338  https://twitter.com/dog_rates/status/666104133...                 1   \n",
       "2339  https://twitter.com/dog_rates/status/666102155...                11   \n",
       "2340  https://twitter.com/dog_rates/status/666099513...                 8   \n",
       "2341  https://twitter.com/dog_rates/status/666094000...                 9   \n",
       "2342  https://twitter.com/dog_rates/status/666082916...                 6   \n",
       "2343  https://twitter.com/dog_rates/status/666073100...                10   \n",
       "2344  https://twitter.com/dog_rates/status/666071193...                 9   \n",
       "2345  https://twitter.com/dog_rates/status/666063827...                10   \n",
       "2346  https://twitter.com/dog_rates/status/666058600...                 8   \n",
       "2347  https://twitter.com/dog_rates/status/666057090...                 9   \n",
       "2348  https://twitter.com/dog_rates/status/666055525...                10   \n",
       "2349  https://twitter.com/dog_rates/status/666051853...                 2   \n",
       "2350  https://twitter.com/dog_rates/status/666050758...                10   \n",
       "2351  https://twitter.com/dog_rates/status/666049248...                 5   \n",
       "2352  https://twitter.com/dog_rates/status/666044226...                 6   \n",
       "2353  https://twitter.com/dog_rates/status/666033412...                 9   \n",
       "2354  https://twitter.com/dog_rates/status/666029285...                 7   \n",
       "2355  https://twitter.com/dog_rates/status/666020888...                 8   \n",
       "\n",
       "      rating_denominator      name  doggo floofer  pupper  puppo  \n",
       "0                     10   Phineas   None    None    None   None  \n",
       "1                     10     Tilly   None    None    None   None  \n",
       "2                     10    Archie   None    None    None   None  \n",
       "3                     10     Darla   None    None    None   None  \n",
       "4                     10  Franklin   None    None    None   None  \n",
       "5                     10      None   None    None    None   None  \n",
       "6                     10       Jax   None    None    None   None  \n",
       "7                     10      None   None    None    None   None  \n",
       "8                     10      Zoey   None    None    None   None  \n",
       "9                     10    Cassie  doggo    None    None   None  \n",
       "10                    10      Koda   None    None    None   None  \n",
       "11                    10     Bruno   None    None    None   None  \n",
       "12                    10      None   None    None    None  puppo  \n",
       "13                    10       Ted   None    None    None   None  \n",
       "14                    10    Stuart   None    None    None  puppo  \n",
       "15                    10    Oliver   None    None    None   None  \n",
       "16                    10       Jim   None    None    None   None  \n",
       "17                    10      Zeke   None    None    None   None  \n",
       "18                    10   Ralphus   None    None    None   None  \n",
       "19                    10    Canela   None    None    None   None  \n",
       "20                    10    Gerald   None    None    None   None  \n",
       "21                    10   Jeffrey   None    None    None   None  \n",
       "22                    10      such   None    None    None   None  \n",
       "23                    10    Canela   None    None    None   None  \n",
       "24                    10      None   None    None    None   None  \n",
       "25                    10      None   None    None    None   None  \n",
       "26                    10      Maya   None    None    None   None  \n",
       "27                    10    Mingus   None    None    None   None  \n",
       "28                    10     Derek   None    None    None   None  \n",
       "29                    10    Roscoe   None    None  pupper   None  \n",
       "...                  ...       ...    ...     ...     ...    ...  \n",
       "2326                  10     quite   None    None    None   None  \n",
       "2327                  10         a   None    None    None   None  \n",
       "2328                  10      None   None    None    None   None  \n",
       "2329                  10      None   None    None    None   None  \n",
       "2330                  10      None   None    None    None   None  \n",
       "2331                  10      None   None    None    None   None  \n",
       "2332                  10      None   None    None    None   None  \n",
       "2333                  10        an   None    None    None   None  \n",
       "2334                  10         a   None    None    None   None  \n",
       "2335                   2        an   None    None    None   None  \n",
       "2336                  10      None   None    None    None   None  \n",
       "2337                  10      None   None    None    None   None  \n",
       "2338                  10      None   None    None    None   None  \n",
       "2339                  10      None   None    None    None   None  \n",
       "2340                  10      None   None    None    None   None  \n",
       "2341                  10      None   None    None    None   None  \n",
       "2342                  10      None   None    None    None   None  \n",
       "2343                  10      None   None    None    None   None  \n",
       "2344                  10      None   None    None    None   None  \n",
       "2345                  10       the   None    None    None   None  \n",
       "2346                  10       the   None    None    None   None  \n",
       "2347                  10         a   None    None    None   None  \n",
       "2348                  10         a   None    None    None   None  \n",
       "2349                  10        an   None    None    None   None  \n",
       "2350                  10         a   None    None    None   None  \n",
       "2351                  10      None   None    None    None   None  \n",
       "2352                  10         a   None    None    None   None  \n",
       "2353                  10         a   None    None    None   None  \n",
       "2354                  10         a   None    None    None   None  \n",
       "2355                  10      None   None    None    None   None  \n",
       "\n",
       "[2356 rows x 17 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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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",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>666050758794694657</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Jof1WUAEuVxN.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Bernese_mountain_dog</td>\n",
       "      <td>0.651137</td>\n",
       "      <td>True</td>\n",
       "      <td>English_springer</td>\n",
       "      <td>0.263788</td>\n",
       "      <td>True</td>\n",
       "      <td>Greater_Swiss_Mountain_dog</td>\n",
       "      <td>0.016199</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>666051853826850816</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5KoJ1WoAAJash.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>box_turtle</td>\n",
       "      <td>0.933012</td>\n",
       "      <td>False</td>\n",
       "      <td>mud_turtle</td>\n",
       "      <td>0.045885</td>\n",
       "      <td>False</td>\n",
       "      <td>terrapin</td>\n",
       "      <td>0.017885</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>666055525042405380</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5N9tpXIAAifs1.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>chow</td>\n",
       "      <td>0.692517</td>\n",
       "      <td>True</td>\n",
       "      <td>Tibetan_mastiff</td>\n",
       "      <td>0.058279</td>\n",
       "      <td>True</td>\n",
       "      <td>fur_coat</td>\n",
       "      <td>0.054449</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>666057090499244032</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5PY90WoAAQGLo.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>shopping_cart</td>\n",
       "      <td>0.962465</td>\n",
       "      <td>False</td>\n",
       "      <td>shopping_basket</td>\n",
       "      <td>0.014594</td>\n",
       "      <td>False</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.007959</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>666058600524156928</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Qw94XAAA_2dP.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>miniature_poodle</td>\n",
       "      <td>0.201493</td>\n",
       "      <td>True</td>\n",
       "      <td>komondor</td>\n",
       "      <td>0.192305</td>\n",
       "      <td>True</td>\n",
       "      <td>soft-coated_wheaten_terrier</td>\n",
       "      <td>0.082086</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>666063827256086533</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Vg_wXIAAXfnj.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.775930</td>\n",
       "      <td>True</td>\n",
       "      <td>Tibetan_mastiff</td>\n",
       "      <td>0.093718</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.072427</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>666071193221509120</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5cN_3WEAAlOoZ.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Gordon_setter</td>\n",
       "      <td>0.503672</td>\n",
       "      <td>True</td>\n",
       "      <td>Yorkshire_terrier</td>\n",
       "      <td>0.174201</td>\n",
       "      <td>True</td>\n",
       "      <td>Pekinese</td>\n",
       "      <td>0.109454</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>666073100786774016</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5d9DZXAAALcwe.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Walker_hound</td>\n",
       "      <td>0.260857</td>\n",
       "      <td>True</td>\n",
       "      <td>English_foxhound</td>\n",
       "      <td>0.175382</td>\n",
       "      <td>True</td>\n",
       "      <td>Ibizan_hound</td>\n",
       "      <td>0.097471</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>666082916733198337</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5m4VGWEAAtKc8.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>pug</td>\n",
       "      <td>0.489814</td>\n",
       "      <td>True</td>\n",
       "      <td>bull_mastiff</td>\n",
       "      <td>0.404722</td>\n",
       "      <td>True</td>\n",
       "      <td>French_bulldog</td>\n",
       "      <td>0.048960</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>666094000022159362</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5w9gUW4AAsBNN.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>bloodhound</td>\n",
       "      <td>0.195217</td>\n",
       "      <td>True</td>\n",
       "      <td>German_shepherd</td>\n",
       "      <td>0.078260</td>\n",
       "      <td>True</td>\n",
       "      <td>malinois</td>\n",
       "      <td>0.075628</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>666099513787052032</td>\n",
       "      <td>https://pbs.twimg.com/media/CT51-JJUEAA6hV8.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Lhasa</td>\n",
       "      <td>0.582330</td>\n",
       "      <td>True</td>\n",
       "      <td>Shih-Tzu</td>\n",
       "      <td>0.166192</td>\n",
       "      <td>True</td>\n",
       "      <td>Dandie_Dinmont</td>\n",
       "      <td>0.089688</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>666102155909144576</td>\n",
       "      <td>https://pbs.twimg.com/media/CT54YGiWUAEZnoK.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>English_setter</td>\n",
       "      <td>0.298617</td>\n",
       "      <td>True</td>\n",
       "      <td>Newfoundland</td>\n",
       "      <td>0.149842</td>\n",
       "      <td>True</td>\n",
       "      <td>borzoi</td>\n",
       "      <td>0.133649</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>666104133288665088</td>\n",
       "      <td>https://pbs.twimg.com/media/CT56LSZWoAAlJj2.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>hen</td>\n",
       "      <td>0.965932</td>\n",
       "      <td>False</td>\n",
       "      <td>cock</td>\n",
       "      <td>0.033919</td>\n",
       "      <td>False</td>\n",
       "      <td>partridge</td>\n",
       "      <td>0.000052</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>666268910803644416</td>\n",
       "      <td>https://pbs.twimg.com/media/CT8QCd1WEAADXws.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>desktop_computer</td>\n",
       "      <td>0.086502</td>\n",
       "      <td>False</td>\n",
       "      <td>desk</td>\n",
       "      <td>0.085547</td>\n",
       "      <td>False</td>\n",
       "      <td>bookcase</td>\n",
       "      <td>0.079480</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>666273097616637952</td>\n",
       "      <td>https://pbs.twimg.com/media/CT8T1mtUwAA3aqm.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Italian_greyhound</td>\n",
       "      <td>0.176053</td>\n",
       "      <td>True</td>\n",
       "      <td>toy_terrier</td>\n",
       "      <td>0.111884</td>\n",
       "      <td>True</td>\n",
       "      <td>basenji</td>\n",
       "      <td>0.111152</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>666287406224695296</td>\n",
       "      <td>https://pbs.twimg.com/media/CT8g3BpUEAAuFjg.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Maltese_dog</td>\n",
       "      <td>0.857531</td>\n",
       "      <td>True</td>\n",
       "      <td>toy_poodle</td>\n",
       "      <td>0.063064</td>\n",
       "      <td>True</td>\n",
       "      <td>miniature_poodle</td>\n",
       "      <td>0.025581</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>666293911632134144</td>\n",
       "      <td>https://pbs.twimg.com/media/CT8mx7KW4AEQu8N.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>three-toed_sloth</td>\n",
       "      <td>0.914671</td>\n",
       "      <td>False</td>\n",
       "      <td>otter</td>\n",
       "      <td>0.015250</td>\n",
       "      <td>False</td>\n",
       "      <td>great_grey_owl</td>\n",
       "      <td>0.013207</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>666337882303524864</td>\n",
       "      <td>https://pbs.twimg.com/media/CT9OwFIWEAMuRje.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>ox</td>\n",
       "      <td>0.416669</td>\n",
       "      <td>False</td>\n",
       "      <td>Newfoundland</td>\n",
       "      <td>0.278407</td>\n",
       "      <td>True</td>\n",
       "      <td>groenendael</td>\n",
       "      <td>0.102643</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>666345417576210432</td>\n",
       "      <td>https://pbs.twimg.com/media/CT9Vn7PWoAA_ZCM.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.858744</td>\n",
       "      <td>True</td>\n",
       "      <td>Chesapeake_Bay_retriever</td>\n",
       "      <td>0.054787</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.014241</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>666353288456101888</td>\n",
       "      <td>https://pbs.twimg.com/media/CT9cx0tUEAAhNN_.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>malamute</td>\n",
       "      <td>0.336874</td>\n",
       "      <td>True</td>\n",
       "      <td>Siberian_husky</td>\n",
       "      <td>0.147655</td>\n",
       "      <td>True</td>\n",
       "      <td>Eskimo_dog</td>\n",
       "      <td>0.093412</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>666362758909284353</td>\n",
       "      <td>https://pbs.twimg.com/media/CT9lXGsUcAAyUFt.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>guinea_pig</td>\n",
       "      <td>0.996496</td>\n",
       "      <td>False</td>\n",
       "      <td>skunk</td>\n",
       "      <td>0.002402</td>\n",
       "      <td>False</td>\n",
       "      <td>hamster</td>\n",
       "      <td>0.000461</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>666373753744588802</td>\n",
       "      <td>https://pbs.twimg.com/media/CT9vZEYWUAAlZ05.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>soft-coated_wheaten_terrier</td>\n",
       "      <td>0.326467</td>\n",
       "      <td>True</td>\n",
       "      <td>Afghan_hound</td>\n",
       "      <td>0.259551</td>\n",
       "      <td>True</td>\n",
       "      <td>briard</td>\n",
       "      <td>0.206803</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>666396247373291520</td>\n",
       "      <td>https://pbs.twimg.com/media/CT-D2ZHWIAA3gK1.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.978108</td>\n",
       "      <td>True</td>\n",
       "      <td>toy_terrier</td>\n",
       "      <td>0.009397</td>\n",
       "      <td>True</td>\n",
       "      <td>papillon</td>\n",
       "      <td>0.004577</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>666407126856765440</td>\n",
       "      <td>https://pbs.twimg.com/media/CT-NvwmW4AAugGZ.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>black-and-tan_coonhound</td>\n",
       "      <td>0.529139</td>\n",
       "      <td>True</td>\n",
       "      <td>bloodhound</td>\n",
       "      <td>0.244220</td>\n",
       "      <td>True</td>\n",
       "      <td>flat-coated_retriever</td>\n",
       "      <td>0.173810</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>666411507551481857</td>\n",
       "      <td>https://pbs.twimg.com/media/CT-RugiWIAELEaq.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>coho</td>\n",
       "      <td>0.404640</td>\n",
       "      <td>False</td>\n",
       "      <td>barracouta</td>\n",
       "      <td>0.271485</td>\n",
       "      <td>False</td>\n",
       "      <td>gar</td>\n",
       "      <td>0.189945</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2045</th>\n",
       "      <td>886366144734445568</td>\n",
       "      <td>https://pbs.twimg.com/media/DE0BTnQUwAApKEH.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>French_bulldog</td>\n",
       "      <td>0.999201</td>\n",
       "      <td>True</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.000361</td>\n",
       "      <td>True</td>\n",
       "      <td>Boston_bull</td>\n",
       "      <td>0.000076</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2046</th>\n",
       "      <td>886680336477933568</td>\n",
       "      <td>https://pbs.twimg.com/media/DE4fEDzWAAAyHMM.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>convertible</td>\n",
       "      <td>0.738995</td>\n",
       "      <td>False</td>\n",
       "      <td>sports_car</td>\n",
       "      <td>0.139952</td>\n",
       "      <td>False</td>\n",
       "      <td>car_wheel</td>\n",
       "      <td>0.044173</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2047</th>\n",
       "      <td>886736880519319552</td>\n",
       "      <td>https://pbs.twimg.com/media/DE5Se8FXcAAJFx4.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>kuvasz</td>\n",
       "      <td>0.309706</td>\n",
       "      <td>True</td>\n",
       "      <td>Great_Pyrenees</td>\n",
       "      <td>0.186136</td>\n",
       "      <td>True</td>\n",
       "      <td>Dandie_Dinmont</td>\n",
       "      <td>0.086346</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2048</th>\n",
       "      <td>886983233522544640</td>\n",
       "      <td>https://pbs.twimg.com/media/DE8yicJW0AAAvBJ.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.793469</td>\n",
       "      <td>True</td>\n",
       "      <td>toy_terrier</td>\n",
       "      <td>0.143528</td>\n",
       "      <td>True</td>\n",
       "      <td>can_opener</td>\n",
       "      <td>0.032253</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2049</th>\n",
       "      <td>887101392804085760</td>\n",
       "      <td>https://pbs.twimg.com/media/DE-eAq6UwAA-jaE.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Samoyed</td>\n",
       "      <td>0.733942</td>\n",
       "      <td>True</td>\n",
       "      <td>Eskimo_dog</td>\n",
       "      <td>0.035029</td>\n",
       "      <td>True</td>\n",
       "      <td>Staffordshire_bullterrier</td>\n",
       "      <td>0.029705</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2050</th>\n",
       "      <td>887343217045368832</td>\n",
       "      <td>https://pbs.twimg.com/ext_tw_video_thumb/88734...</td>\n",
       "      <td>1</td>\n",
       "      <td>Mexican_hairless</td>\n",
       "      <td>0.330741</td>\n",
       "      <td>True</td>\n",
       "      <td>sea_lion</td>\n",
       "      <td>0.275645</td>\n",
       "      <td>False</td>\n",
       "      <td>Weimaraner</td>\n",
       "      <td>0.134203</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2051</th>\n",
       "      <td>887473957103951883</td>\n",
       "      <td>https://pbs.twimg.com/media/DFDw2tyUQAAAFke.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>Pembroke</td>\n",
       "      <td>0.809197</td>\n",
       "      <td>True</td>\n",
       "      <td>Rhodesian_ridgeback</td>\n",
       "      <td>0.054950</td>\n",
       "      <td>True</td>\n",
       "      <td>beagle</td>\n",
       "      <td>0.038915</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2052</th>\n",
       "      <td>887517139158093824</td>\n",
       "      <td>https://pbs.twimg.com/ext_tw_video_thumb/88751...</td>\n",
       "      <td>1</td>\n",
       "      <td>limousine</td>\n",
       "      <td>0.130432</td>\n",
       "      <td>False</td>\n",
       "      <td>tow_truck</td>\n",
       "      <td>0.029175</td>\n",
       "      <td>False</td>\n",
       "      <td>shopping_cart</td>\n",
       "      <td>0.026321</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2053</th>\n",
       "      <td>887705289381826560</td>\n",
       "      <td>https://pbs.twimg.com/media/DFHDQBbXgAEqY7t.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>basset</td>\n",
       "      <td>0.821664</td>\n",
       "      <td>True</td>\n",
       "      <td>redbone</td>\n",
       "      <td>0.087582</td>\n",
       "      <td>True</td>\n",
       "      <td>Weimaraner</td>\n",
       "      <td>0.026236</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2054</th>\n",
       "      <td>888078434458587136</td>\n",
       "      <td>https://pbs.twimg.com/media/DFMWn56WsAAkA7B.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>French_bulldog</td>\n",
       "      <td>0.995026</td>\n",
       "      <td>True</td>\n",
       "      <td>pug</td>\n",
       "      <td>0.000932</td>\n",
       "      <td>True</td>\n",
       "      <td>bull_mastiff</td>\n",
       "      <td>0.000903</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2055</th>\n",
       "      <td>888202515573088257</td>\n",
       "      <td>https://pbs.twimg.com/media/DFDw2tyUQAAAFke.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>Pembroke</td>\n",
       "      <td>0.809197</td>\n",
       "      <td>True</td>\n",
       "      <td>Rhodesian_ridgeback</td>\n",
       "      <td>0.054950</td>\n",
       "      <td>True</td>\n",
       "      <td>beagle</td>\n",
       "      <td>0.038915</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2056</th>\n",
       "      <td>888554962724278272</td>\n",
       "      <td>https://pbs.twimg.com/media/DFTH_O-UQAACu20.jpg</td>\n",
       "      <td>3</td>\n",
       "      <td>Siberian_husky</td>\n",
       "      <td>0.700377</td>\n",
       "      <td>True</td>\n",
       "      <td>Eskimo_dog</td>\n",
       "      <td>0.166511</td>\n",
       "      <td>True</td>\n",
       "      <td>malamute</td>\n",
       "      <td>0.111411</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2057</th>\n",
       "      <td>888804989199671297</td>\n",
       "      <td>https://pbs.twimg.com/media/DFWra-3VYAA2piG.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.469760</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.184172</td>\n",
       "      <td>True</td>\n",
       "      <td>English_setter</td>\n",
       "      <td>0.073482</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2058</th>\n",
       "      <td>888917238123831296</td>\n",
       "      <td>https://pbs.twimg.com/media/DFYRgsOUQAARGhO.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.714719</td>\n",
       "      <td>True</td>\n",
       "      <td>Tibetan_mastiff</td>\n",
       "      <td>0.120184</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.105506</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2059</th>\n",
       "      <td>889278841981685760</td>\n",
       "      <td>https://pbs.twimg.com/ext_tw_video_thumb/88927...</td>\n",
       "      <td>1</td>\n",
       "      <td>whippet</td>\n",
       "      <td>0.626152</td>\n",
       "      <td>True</td>\n",
       "      <td>borzoi</td>\n",
       "      <td>0.194742</td>\n",
       "      <td>True</td>\n",
       "      <td>Saluki</td>\n",
       "      <td>0.027351</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2060</th>\n",
       "      <td>889531135344209921</td>\n",
       "      <td>https://pbs.twimg.com/media/DFg_2PVW0AEHN3p.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.953442</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.013834</td>\n",
       "      <td>True</td>\n",
       "      <td>redbone</td>\n",
       "      <td>0.007958</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2061</th>\n",
       "      <td>889638837579907072</td>\n",
       "      <td>https://pbs.twimg.com/media/DFihzFfXsAYGDPR.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>French_bulldog</td>\n",
       "      <td>0.991650</td>\n",
       "      <td>True</td>\n",
       "      <td>boxer</td>\n",
       "      <td>0.002129</td>\n",
       "      <td>True</td>\n",
       "      <td>Staffordshire_bullterrier</td>\n",
       "      <td>0.001498</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2062</th>\n",
       "      <td>889665388333682689</td>\n",
       "      <td>https://pbs.twimg.com/media/DFi579UWsAAatzw.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Pembroke</td>\n",
       "      <td>0.966327</td>\n",
       "      <td>True</td>\n",
       "      <td>Cardigan</td>\n",
       "      <td>0.027356</td>\n",
       "      <td>True</td>\n",
       "      <td>basenji</td>\n",
       "      <td>0.004633</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2063</th>\n",
       "      <td>889880896479866881</td>\n",
       "      <td>https://pbs.twimg.com/media/DFl99B1WsAITKsg.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>French_bulldog</td>\n",
       "      <td>0.377417</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.151317</td>\n",
       "      <td>True</td>\n",
       "      <td>muzzle</td>\n",
       "      <td>0.082981</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2064</th>\n",
       "      <td>890006608113172480</td>\n",
       "      <td>https://pbs.twimg.com/media/DFnwSY4WAAAMliS.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Samoyed</td>\n",
       "      <td>0.957979</td>\n",
       "      <td>True</td>\n",
       "      <td>Pomeranian</td>\n",
       "      <td>0.013884</td>\n",
       "      <td>True</td>\n",
       "      <td>chow</td>\n",
       "      <td>0.008167</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2065</th>\n",
       "      <td>890240255349198849</td>\n",
       "      <td>https://pbs.twimg.com/media/DFrEyVuW0AAO3t9.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Pembroke</td>\n",
       "      <td>0.511319</td>\n",
       "      <td>True</td>\n",
       "      <td>Cardigan</td>\n",
       "      <td>0.451038</td>\n",
       "      <td>True</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.029248</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2066</th>\n",
       "      <td>890609185150312448</td>\n",
       "      <td>https://pbs.twimg.com/media/DFwUU__XcAEpyXI.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Irish_terrier</td>\n",
       "      <td>0.487574</td>\n",
       "      <td>True</td>\n",
       "      <td>Irish_setter</td>\n",
       "      <td>0.193054</td>\n",
       "      <td>True</td>\n",
       "      <td>Chesapeake_Bay_retriever</td>\n",
       "      <td>0.118184</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2067</th>\n",
       "      <td>890729181411237888</td>\n",
       "      <td>https://pbs.twimg.com/media/DFyBahAVwAAhUTd.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>Pomeranian</td>\n",
       "      <td>0.566142</td>\n",
       "      <td>True</td>\n",
       "      <td>Eskimo_dog</td>\n",
       "      <td>0.178406</td>\n",
       "      <td>True</td>\n",
       "      <td>Pembroke</td>\n",
       "      <td>0.076507</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2068</th>\n",
       "      <td>890971913173991426</td>\n",
       "      <td>https://pbs.twimg.com/media/DF1eOmZXUAALUcq.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Appenzeller</td>\n",
       "      <td>0.341703</td>\n",
       "      <td>True</td>\n",
       "      <td>Border_collie</td>\n",
       "      <td>0.199287</td>\n",
       "      <td>True</td>\n",
       "      <td>ice_lolly</td>\n",
       "      <td>0.193548</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2069</th>\n",
       "      <td>891087950875897856</td>\n",
       "      <td>https://pbs.twimg.com/media/DF3HwyEWsAABqE6.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Chesapeake_Bay_retriever</td>\n",
       "      <td>0.425595</td>\n",
       "      <td>True</td>\n",
       "      <td>Irish_terrier</td>\n",
       "      <td>0.116317</td>\n",
       "      <td>True</td>\n",
       "      <td>Indian_elephant</td>\n",
       "      <td>0.076902</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2070</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>basset</td>\n",
       "      <td>0.555712</td>\n",
       "      <td>True</td>\n",
       "      <td>English_springer</td>\n",
       "      <td>0.225770</td>\n",
       "      <td>True</td>\n",
       "      <td>German_short-haired_pointer</td>\n",
       "      <td>0.175219</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2071</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>paper_towel</td>\n",
       "      <td>0.170278</td>\n",
       "      <td>False</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.168086</td>\n",
       "      <td>True</td>\n",
       "      <td>spatula</td>\n",
       "      <td>0.040836</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2072</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.716012</td>\n",
       "      <td>True</td>\n",
       "      <td>malamute</td>\n",
       "      <td>0.078253</td>\n",
       "      <td>True</td>\n",
       "      <td>kelpie</td>\n",
       "      <td>0.031379</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2073</th>\n",
       "      <td>892177421306343426</td>\n",
       "      <td>https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.323581</td>\n",
       "      <td>True</td>\n",
       "      <td>Pekinese</td>\n",
       "      <td>0.090647</td>\n",
       "      <td>True</td>\n",
       "      <td>papillon</td>\n",
       "      <td>0.068957</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2074</th>\n",
       "      <td>892420643555336193</td>\n",
       "      <td>https://pbs.twimg.com/media/DGKD1-bXoAAIAUK.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>orange</td>\n",
       "      <td>0.097049</td>\n",
       "      <td>False</td>\n",
       "      <td>bagel</td>\n",
       "      <td>0.085851</td>\n",
       "      <td>False</td>\n",
       "      <td>banana</td>\n",
       "      <td>0.076110</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2075 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id                                            jpg_url  \\\n",
       "0     666020888022790149    https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg   \n",
       "1     666029285002620928    https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg   \n",
       "2     666033412701032449    https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg   \n",
       "3     666044226329800704    https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg   \n",
       "4     666049248165822465    https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg   \n",
       "5     666050758794694657    https://pbs.twimg.com/media/CT5Jof1WUAEuVxN.jpg   \n",
       "6     666051853826850816    https://pbs.twimg.com/media/CT5KoJ1WoAAJash.jpg   \n",
       "7     666055525042405380    https://pbs.twimg.com/media/CT5N9tpXIAAifs1.jpg   \n",
       "8     666057090499244032    https://pbs.twimg.com/media/CT5PY90WoAAQGLo.jpg   \n",
       "9     666058600524156928    https://pbs.twimg.com/media/CT5Qw94XAAA_2dP.jpg   \n",
       "10    666063827256086533    https://pbs.twimg.com/media/CT5Vg_wXIAAXfnj.jpg   \n",
       "11    666071193221509120    https://pbs.twimg.com/media/CT5cN_3WEAAlOoZ.jpg   \n",
       "12    666073100786774016    https://pbs.twimg.com/media/CT5d9DZXAAALcwe.jpg   \n",
       "13    666082916733198337    https://pbs.twimg.com/media/CT5m4VGWEAAtKc8.jpg   \n",
       "14    666094000022159362    https://pbs.twimg.com/media/CT5w9gUW4AAsBNN.jpg   \n",
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       "16    666102155909144576    https://pbs.twimg.com/media/CT54YGiWUAEZnoK.jpg   \n",
       "17    666104133288665088    https://pbs.twimg.com/media/CT56LSZWoAAlJj2.jpg   \n",
       "18    666268910803644416    https://pbs.twimg.com/media/CT8QCd1WEAADXws.jpg   \n",
       "19    666273097616637952    https://pbs.twimg.com/media/CT8T1mtUwAA3aqm.jpg   \n",
       "20    666287406224695296    https://pbs.twimg.com/media/CT8g3BpUEAAuFjg.jpg   \n",
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       "22    666337882303524864    https://pbs.twimg.com/media/CT9OwFIWEAMuRje.jpg   \n",
       "23    666345417576210432    https://pbs.twimg.com/media/CT9Vn7PWoAA_ZCM.jpg   \n",
       "24    666353288456101888    https://pbs.twimg.com/media/CT9cx0tUEAAhNN_.jpg   \n",
       "25    666362758909284353    https://pbs.twimg.com/media/CT9lXGsUcAAyUFt.jpg   \n",
       "26    666373753744588802    https://pbs.twimg.com/media/CT9vZEYWUAAlZ05.jpg   \n",
       "27    666396247373291520    https://pbs.twimg.com/media/CT-D2ZHWIAA3gK1.jpg   \n",
       "28    666407126856765440    https://pbs.twimg.com/media/CT-NvwmW4AAugGZ.jpg   \n",
       "29    666411507551481857    https://pbs.twimg.com/media/CT-RugiWIAELEaq.jpg   \n",
       "...                  ...                                                ...   \n",
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       "2046  886680336477933568    https://pbs.twimg.com/media/DE4fEDzWAAAyHMM.jpg   \n",
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       "2051  887473957103951883    https://pbs.twimg.com/media/DFDw2tyUQAAAFke.jpg   \n",
       "2052  887517139158093824  https://pbs.twimg.com/ext_tw_video_thumb/88751...   \n",
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       "2060  889531135344209921    https://pbs.twimg.com/media/DFg_2PVW0AEHN3p.jpg   \n",
       "2061  889638837579907072    https://pbs.twimg.com/media/DFihzFfXsAYGDPR.jpg   \n",
       "2062  889665388333682689    https://pbs.twimg.com/media/DFi579UWsAAatzw.jpg   \n",
       "2063  889880896479866881    https://pbs.twimg.com/media/DFl99B1WsAITKsg.jpg   \n",
       "2064  890006608113172480    https://pbs.twimg.com/media/DFnwSY4WAAAMliS.jpg   \n",
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       "2066  890609185150312448    https://pbs.twimg.com/media/DFwUU__XcAEpyXI.jpg   \n",
       "2067  890729181411237888    https://pbs.twimg.com/media/DFyBahAVwAAhUTd.jpg   \n",
       "2068  890971913173991426    https://pbs.twimg.com/media/DF1eOmZXUAALUcq.jpg   \n",
       "2069  891087950875897856    https://pbs.twimg.com/media/DF3HwyEWsAABqE6.jpg   \n",
       "2070  891327558926688256    https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg   \n",
       "2071  891689557279858688    https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg   \n",
       "2072  891815181378084864    https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg   \n",
       "2073  892177421306343426    https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg   \n",
       "2074  892420643555336193    https://pbs.twimg.com/media/DGKD1-bXoAAIAUK.jpg   \n",
       "\n",
       "      img_num                           p1   p1_conf  p1_dog  \\\n",
       "0           1       Welsh_springer_spaniel  0.465074    True   \n",
       "1           1                      redbone  0.506826    True   \n",
       "2           1              German_shepherd  0.596461    True   \n",
       "3           1          Rhodesian_ridgeback  0.408143    True   \n",
       "4           1           miniature_pinscher  0.560311    True   \n",
       "5           1         Bernese_mountain_dog  0.651137    True   \n",
       "6           1                   box_turtle  0.933012   False   \n",
       "7           1                         chow  0.692517    True   \n",
       "8           1                shopping_cart  0.962465   False   \n",
       "9           1             miniature_poodle  0.201493    True   \n",
       "10          1             golden_retriever  0.775930    True   \n",
       "11          1                Gordon_setter  0.503672    True   \n",
       "12          1                 Walker_hound  0.260857    True   \n",
       "13          1                          pug  0.489814    True   \n",
       "14          1                   bloodhound  0.195217    True   \n",
       "15          1                        Lhasa  0.582330    True   \n",
       "16          1               English_setter  0.298617    True   \n",
       "17          1                          hen  0.965932   False   \n",
       "18          1             desktop_computer  0.086502   False   \n",
       "19          1            Italian_greyhound  0.176053    True   \n",
       "20          1                  Maltese_dog  0.857531    True   \n",
       "21          1             three-toed_sloth  0.914671   False   \n",
       "22          1                           ox  0.416669   False   \n",
       "23          1             golden_retriever  0.858744    True   \n",
       "24          1                     malamute  0.336874    True   \n",
       "25          1                   guinea_pig  0.996496   False   \n",
       "26          1  soft-coated_wheaten_terrier  0.326467    True   \n",
       "27          1                    Chihuahua  0.978108    True   \n",
       "28          1      black-and-tan_coonhound  0.529139    True   \n",
       "29          1                         coho  0.404640   False   \n",
       "...       ...                          ...       ...     ...   \n",
       "2045        1               French_bulldog  0.999201    True   \n",
       "2046        1                  convertible  0.738995   False   \n",
       "2047        1                       kuvasz  0.309706    True   \n",
       "2048        2                    Chihuahua  0.793469    True   \n",
       "2049        1                      Samoyed  0.733942    True   \n",
       "2050        1             Mexican_hairless  0.330741    True   \n",
       "2051        2                     Pembroke  0.809197    True   \n",
       "2052        1                    limousine  0.130432   False   \n",
       "2053        1                       basset  0.821664    True   \n",
       "2054        1               French_bulldog  0.995026    True   \n",
       "2055        2                     Pembroke  0.809197    True   \n",
       "2056        3               Siberian_husky  0.700377    True   \n",
       "2057        1             golden_retriever  0.469760    True   \n",
       "2058        1             golden_retriever  0.714719    True   \n",
       "2059        1                      whippet  0.626152    True   \n",
       "2060        1             golden_retriever  0.953442    True   \n",
       "2061        1               French_bulldog  0.991650    True   \n",
       "2062        1                     Pembroke  0.966327    True   \n",
       "2063        1               French_bulldog  0.377417    True   \n",
       "2064        1                      Samoyed  0.957979    True   \n",
       "2065        1                     Pembroke  0.511319    True   \n",
       "2066        1                Irish_terrier  0.487574    True   \n",
       "2067        2                   Pomeranian  0.566142    True   \n",
       "2068        1                  Appenzeller  0.341703    True   \n",
       "2069        1     Chesapeake_Bay_retriever  0.425595    True   \n",
       "2070        2                       basset  0.555712    True   \n",
       "2071        1                  paper_towel  0.170278   False   \n",
       "2072        1                    Chihuahua  0.716012    True   \n",
       "2073        1                    Chihuahua  0.323581    True   \n",
       "2074        1                       orange  0.097049   False   \n",
       "\n",
       "                            p2   p2_conf  p2_dog                           p3  \\\n",
       "0                       collie  0.156665    True            Shetland_sheepdog   \n",
       "1           miniature_pinscher  0.074192    True          Rhodesian_ridgeback   \n",
       "2                     malinois  0.138584    True                   bloodhound   \n",
       "3                      redbone  0.360687    True           miniature_pinscher   \n",
       "4                   Rottweiler  0.243682    True                     Doberman   \n",
       "5             English_springer  0.263788    True   Greater_Swiss_Mountain_dog   \n",
       "6                   mud_turtle  0.045885   False                     terrapin   \n",
       "7              Tibetan_mastiff  0.058279    True                     fur_coat   \n",
       "8              shopping_basket  0.014594   False             golden_retriever   \n",
       "9                     komondor  0.192305    True  soft-coated_wheaten_terrier   \n",
       "10             Tibetan_mastiff  0.093718    True           Labrador_retriever   \n",
       "11           Yorkshire_terrier  0.174201    True                     Pekinese   \n",
       "12            English_foxhound  0.175382    True                 Ibizan_hound   \n",
       "13                bull_mastiff  0.404722    True               French_bulldog   \n",
       "14             German_shepherd  0.078260    True                     malinois   \n",
       "15                    Shih-Tzu  0.166192    True               Dandie_Dinmont   \n",
       "16                Newfoundland  0.149842    True                       borzoi   \n",
       "17                        cock  0.033919   False                    partridge   \n",
       "18                        desk  0.085547   False                     bookcase   \n",
       "19                 toy_terrier  0.111884    True                      basenji   \n",
       "20                  toy_poodle  0.063064    True             miniature_poodle   \n",
       "21                       otter  0.015250   False               great_grey_owl   \n",
       "22                Newfoundland  0.278407    True                  groenendael   \n",
       "23    Chesapeake_Bay_retriever  0.054787    True           Labrador_retriever   \n",
       "24              Siberian_husky  0.147655    True                   Eskimo_dog   \n",
       "25                       skunk  0.002402   False                      hamster   \n",
       "26                Afghan_hound  0.259551    True                       briard   \n",
       "27                 toy_terrier  0.009397    True                     papillon   \n",
       "28                  bloodhound  0.244220    True        flat-coated_retriever   \n",
       "29                  barracouta  0.271485   False                          gar   \n",
       "...                        ...       ...     ...                          ...   \n",
       "2045                 Chihuahua  0.000361    True                  Boston_bull   \n",
       "2046                sports_car  0.139952   False                    car_wheel   \n",
       "2047            Great_Pyrenees  0.186136    True               Dandie_Dinmont   \n",
       "2048               toy_terrier  0.143528    True                   can_opener   \n",
       "2049                Eskimo_dog  0.035029    True    Staffordshire_bullterrier   \n",
       "2050                  sea_lion  0.275645   False                   Weimaraner   \n",
       "2051       Rhodesian_ridgeback  0.054950    True                       beagle   \n",
       "2052                 tow_truck  0.029175   False                shopping_cart   \n",
       "2053                   redbone  0.087582    True                   Weimaraner   \n",
       "2054                       pug  0.000932    True                 bull_mastiff   \n",
       "2055       Rhodesian_ridgeback  0.054950    True                       beagle   \n",
       "2056                Eskimo_dog  0.166511    True                     malamute   \n",
       "2057        Labrador_retriever  0.184172    True               English_setter   \n",
       "2058           Tibetan_mastiff  0.120184    True           Labrador_retriever   \n",
       "2059                    borzoi  0.194742    True                       Saluki   \n",
       "2060        Labrador_retriever  0.013834    True                      redbone   \n",
       "2061                     boxer  0.002129    True    Staffordshire_bullterrier   \n",
       "2062                  Cardigan  0.027356    True                      basenji   \n",
       "2063        Labrador_retriever  0.151317    True                       muzzle   \n",
       "2064                Pomeranian  0.013884    True                         chow   \n",
       "2065                  Cardigan  0.451038    True                    Chihuahua   \n",
       "2066              Irish_setter  0.193054    True     Chesapeake_Bay_retriever   \n",
       "2067                Eskimo_dog  0.178406    True                     Pembroke   \n",
       "2068             Border_collie  0.199287    True                    ice_lolly   \n",
       "2069             Irish_terrier  0.116317    True              Indian_elephant   \n",
       "2070          English_springer  0.225770    True  German_short-haired_pointer   \n",
       "2071        Labrador_retriever  0.168086    True                      spatula   \n",
       "2072                  malamute  0.078253    True                       kelpie   \n",
       "2073                  Pekinese  0.090647    True                     papillon   \n",
       "2074                     bagel  0.085851   False                       banana   \n",
       "\n",
       "       p3_conf  p3_dog  \n",
       "0     0.061428    True  \n",
       "1     0.072010    True  \n",
       "2     0.116197    True  \n",
       "3     0.222752    True  \n",
       "4     0.154629    True  \n",
       "5     0.016199    True  \n",
       "6     0.017885   False  \n",
       "7     0.054449   False  \n",
       "8     0.007959    True  \n",
       "9     0.082086    True  \n",
       "10    0.072427    True  \n",
       "11    0.109454    True  \n",
       "12    0.097471    True  \n",
       "13    0.048960    True  \n",
       "14    0.075628    True  \n",
       "15    0.089688    True  \n",
       "16    0.133649    True  \n",
       "17    0.000052   False  \n",
       "18    0.079480   False  \n",
       "19    0.111152    True  \n",
       "20    0.025581    True  \n",
       "21    0.013207   False  \n",
       "22    0.102643    True  \n",
       "23    0.014241    True  \n",
       "24    0.093412    True  \n",
       "25    0.000461   False  \n",
       "26    0.206803    True  \n",
       "27    0.004577    True  \n",
       "28    0.173810    True  \n",
       "29    0.189945   False  \n",
       "...        ...     ...  \n",
       "2045  0.000076    True  \n",
       "2046  0.044173   False  \n",
       "2047  0.086346    True  \n",
       "2048  0.032253   False  \n",
       "2049  0.029705    True  \n",
       "2050  0.134203    True  \n",
       "2051  0.038915    True  \n",
       "2052  0.026321   False  \n",
       "2053  0.026236    True  \n",
       "2054  0.000903    True  \n",
       "2055  0.038915    True  \n",
       "2056  0.111411    True  \n",
       "2057  0.073482    True  \n",
       "2058  0.105506    True  \n",
       "2059  0.027351    True  \n",
       "2060  0.007958    True  \n",
       "2061  0.001498    True  \n",
       "2062  0.004633    True  \n",
       "2063  0.082981   False  \n",
       "2064  0.008167    True  \n",
       "2065  0.029248    True  \n",
       "2066  0.118184    True  \n",
       "2067  0.076507    True  \n",
       "2068  0.193548   False  \n",
       "2069  0.076902   False  \n",
       "2070  0.175219    True  \n",
       "2071  0.040836   False  \n",
       "2072  0.031379    True  \n",
       "2073  0.068957    True  \n",
       "2074  0.076110   False  \n",
       "\n",
       "[2075 rows x 12 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>followers_count</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <td>8604</td>\n",
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       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/MgUWQ76dJU</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
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       "      <td>33269</td>\n",
       "      <td>6319</td>\n",
       "      <td>6829008</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
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       "      <td>https://t.co/aQFSeaCu9L</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>25065</td>\n",
       "      <td>4194</td>\n",
       "      <td>6829008</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/r0YlrsGCgy</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>42221</td>\n",
       "      <td>8713</td>\n",
       "      <td>6829008</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/tD36da7qLQ</td>\n",
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       "      <th>4</th>\n",
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       "      <td>40364</td>\n",
       "      <td>9484</td>\n",
       "      <td>6829009</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/0g0KMIVXZ3</td>\n",
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       "      <td>3137</td>\n",
       "      <td>6829009</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
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       "      <th>6</th>\n",
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       "      <td>11863</td>\n",
       "      <td>2090</td>\n",
       "      <td>6829010</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/MV01Q820LT</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>890729181411237888</td>\n",
       "      <td>65628</td>\n",
       "      <td>19067</td>\n",
       "      <td>6829010</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/hrcFOGi12V</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
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       "      <td>27796</td>\n",
       "      <td>4304</td>\n",
       "      <td>6829010</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/UkrdQyoYxV</td>\n",
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       "      <th>9</th>\n",
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       "      <td>7479</td>\n",
       "      <td>6829010</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
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       "      <th>10</th>\n",
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       "      <td>30691</td>\n",
       "      <td>7399</td>\n",
       "      <td>6829010</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/jy2alqaYPH</td>\n",
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       "      <th>11</th>\n",
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       "      <td>27824</td>\n",
       "      <td>5011</td>\n",
       "      <td>6829011</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
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       "      <th>12</th>\n",
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       "      <td>10147</td>\n",
       "      <td>6829011</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
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       "    <tr>\n",
       "      <th>13</th>\n",
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       "      <td>27203</td>\n",
       "      <td>4583</td>\n",
       "      <td>6829011</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/f8dEDcrKSR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>889531135344209921</td>\n",
       "      <td>15119</td>\n",
       "      <td>2254</td>\n",
       "      <td>6829011</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/Ya3bdfYuCx</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>889278841981685760</td>\n",
       "      <td>25329</td>\n",
       "      <td>5479</td>\n",
       "      <td>6829011</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/qw5xRwBaIv</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>888917238123831296</td>\n",
       "      <td>29120</td>\n",
       "      <td>4538</td>\n",
       "      <td>6829011</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/chxruIOUJN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>888804989199671297</td>\n",
       "      <td>25622</td>\n",
       "      <td>4383</td>\n",
       "      <td>6829011</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/L5cCoR2huQ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>888554962724278272</td>\n",
       "      <td>19938</td>\n",
       "      <td>3615</td>\n",
       "      <td>6829011</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/YnYAFCTTiK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>888078434458587136</td>\n",
       "      <td>21783</td>\n",
       "      <td>3528</td>\n",
       "      <td>6827469</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/UibDBnVpvR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>887705289381826560</td>\n",
       "      <td>30222</td>\n",
       "      <td>5439</td>\n",
       "      <td>6829011</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/m7BR4JgDrZ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>887517139158093824</td>\n",
       "      <td>46298</td>\n",
       "      <td>11759</td>\n",
       "      <td>6829011</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/20VrLAA8ba</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>887473957103951883</td>\n",
       "      <td>69215</td>\n",
       "      <td>18398</td>\n",
       "      <td>6829011</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/cLyzpcUcMX</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>887343217045368832</td>\n",
       "      <td>33727</td>\n",
       "      <td>10495</td>\n",
       "      <td>6829011</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/WZqNqygEyV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>887101392804085760</td>\n",
       "      <td>30577</td>\n",
       "      <td>6007</td>\n",
       "      <td>6829011</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/UgW2xbO7Rg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>886983233522544640</td>\n",
       "      <td>35197</td>\n",
       "      <td>7834</td>\n",
       "      <td>6829011</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/I6oNy0CgiT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>886736880519319552</td>\n",
       "      <td>12086</td>\n",
       "      <td>3323</td>\n",
       "      <td>6829011</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/RipKYZ0T1u</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>886680336477933568</td>\n",
       "      <td>22458</td>\n",
       "      <td>4509</td>\n",
       "      <td>6829011</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/BCoWue0abA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>886366144734445568</td>\n",
       "      <td>21159</td>\n",
       "      <td>3210</td>\n",
       "      <td>6829011</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/iIu3AF8IWH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>886267009285017600</td>\n",
       "      <td>116</td>\n",
       "      <td>4</td>\n",
       "      <td>6829011</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>n</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2314</th>\n",
       "      <td>666411507551481857</td>\n",
       "      <td>450</td>\n",
       "      <td>329</td>\n",
       "      <td>6829278</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/aMCTNWO94t</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2315</th>\n",
       "      <td>666407126856765440</td>\n",
       "      <td>111</td>\n",
       "      <td>41</td>\n",
       "      <td>6829278</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/LopTBkKa8h</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2316</th>\n",
       "      <td>666396247373291520</td>\n",
       "      <td>168</td>\n",
       "      <td>86</td>\n",
       "      <td>6829278</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/Dc7b0E8qFE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2317</th>\n",
       "      <td>666373753744588802</td>\n",
       "      <td>189</td>\n",
       "      <td>93</td>\n",
       "      <td>6829278</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/uHXrPkUEyl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2318</th>\n",
       "      <td>666362758909284353</td>\n",
       "      <td>783</td>\n",
       "      <td>577</td>\n",
       "      <td>6829278</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/XMD9CwjEnM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2319</th>\n",
       "      <td>666353288456101888</td>\n",
       "      <td>223</td>\n",
       "      <td>73</td>\n",
       "      <td>6829278</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/tltQ5w9aUO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2320</th>\n",
       "      <td>666345417576210432</td>\n",
       "      <td>300</td>\n",
       "      <td>140</td>\n",
       "      <td>6829278</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/VFKG1vxGjB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2321</th>\n",
       "      <td>666337882303524864</td>\n",
       "      <td>199</td>\n",
       "      <td>92</td>\n",
       "      <td>6829278</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/QpRjllzWAL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2322</th>\n",
       "      <td>666293911632134144</td>\n",
       "      <td>511</td>\n",
       "      <td>358</td>\n",
       "      <td>6829278</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/IIXis0zta0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2323</th>\n",
       "      <td>666287406224695296</td>\n",
       "      <td>150</td>\n",
       "      <td>68</td>\n",
       "      <td>6829278</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/d9NcXFKwLv</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2324</th>\n",
       "      <td>666273097616637952</td>\n",
       "      <td>178</td>\n",
       "      <td>76</td>\n",
       "      <td>6829278</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/ws2AMaNwPW</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2325</th>\n",
       "      <td>666268910803644416</td>\n",
       "      <td>105</td>\n",
       "      <td>35</td>\n",
       "      <td>6829278</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/0yxApIikpk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2326</th>\n",
       "      <td>666104133288665088</td>\n",
       "      <td>14406</td>\n",
       "      <td>6663</td>\n",
       "      <td>6829278</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/Asgdc6kuLX</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2327</th>\n",
       "      <td>666102155909144576</td>\n",
       "      <td>79</td>\n",
       "      <td>13</td>\n",
       "      <td>6829279</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/11LvqN4WLq</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2328</th>\n",
       "      <td>666099513787052032</td>\n",
       "      <td>158</td>\n",
       "      <td>69</td>\n",
       "      <td>6829279</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/Ri4nMTLq5C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2329</th>\n",
       "      <td>666094000022159362</td>\n",
       "      <td>166</td>\n",
       "      <td>76</td>\n",
       "      <td>6829279</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/mnioXo3IfP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2330</th>\n",
       "      <td>666082916733198337</td>\n",
       "      <td>119</td>\n",
       "      <td>45</td>\n",
       "      <td>6829279</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/3RU6x0vHB7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2331</th>\n",
       "      <td>666073100786774016</td>\n",
       "      <td>323</td>\n",
       "      <td>166</td>\n",
       "      <td>6829279</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/Yk6GHE9tOY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2332</th>\n",
       "      <td>666071193221509120</td>\n",
       "      <td>148</td>\n",
       "      <td>62</td>\n",
       "      <td>6829279</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/ZoL8kq2XFx</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2333</th>\n",
       "      <td>666063827256086533</td>\n",
       "      <td>479</td>\n",
       "      <td>223</td>\n",
       "      <td>6829279</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/RhUEAloehK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2334</th>\n",
       "      <td>666058600524156928</td>\n",
       "      <td>112</td>\n",
       "      <td>57</td>\n",
       "      <td>6829279</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/pYAJkAe76p</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2335</th>\n",
       "      <td>666057090499244032</td>\n",
       "      <td>298</td>\n",
       "      <td>141</td>\n",
       "      <td>6829279</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/yWBqbrzy8O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2336</th>\n",
       "      <td>666055525042405380</td>\n",
       "      <td>437</td>\n",
       "      <td>257</td>\n",
       "      <td>6829279</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/rdivxLiqEt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2337</th>\n",
       "      <td>666051853826850816</td>\n",
       "      <td>1229</td>\n",
       "      <td>854</td>\n",
       "      <td>6829280</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/v5A4vzSDdc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2338</th>\n",
       "      <td>666050758794694657</td>\n",
       "      <td>132</td>\n",
       "      <td>58</td>\n",
       "      <td>6829279</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/fvIbQfHjIe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2339</th>\n",
       "      <td>666049248165822465</td>\n",
       "      <td>109</td>\n",
       "      <td>40</td>\n",
       "      <td>6829279</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/4B7cOc1EDq</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2340</th>\n",
       "      <td>666044226329800704</td>\n",
       "      <td>299</td>\n",
       "      <td>141</td>\n",
       "      <td>6829279</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/DWnyCjf2mx</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2341</th>\n",
       "      <td>666033412701032449</td>\n",
       "      <td>125</td>\n",
       "      <td>44</td>\n",
       "      <td>6829279</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/y671yMhoiR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2342</th>\n",
       "      <td>666029285002620928</td>\n",
       "      <td>130</td>\n",
       "      <td>47</td>\n",
       "      <td>6829279</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/r7mOb2m0UI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2343</th>\n",
       "      <td>666020888022790149</td>\n",
       "      <td>2562</td>\n",
       "      <td>518</td>\n",
       "      <td>6829279</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/BLDqew2Ijj</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2344 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id  favorite_count  retweet_count  followers_count  \\\n",
       "0     892420643555336193           38845           8604          6829008   \n",
       "1     892177421306343426           33269           6319          6829008   \n",
       "2     891815181378084864           25065           4194          6829008   \n",
       "3     891689557279858688           42221           8713          6829008   \n",
       "4     891327558926688256           40364           9484          6829009   \n",
       "5     891087950875897856           20244           3137          6829009   \n",
       "6     890971913173991426           11863           2090          6829010   \n",
       "7     890729181411237888           65628          19067          6829010   \n",
       "8     890609185150312448           27796           4304          6829010   \n",
       "9     890240255349198849           31982           7479          6829010   \n",
       "10    890006608113172480           30691           7399          6829010   \n",
       "11    889880896479866881           27824           5011          6829011   \n",
       "12    889665388333682689           48178          10147          6829011   \n",
       "13    889638837579907072           27203           4583          6829011   \n",
       "14    889531135344209921           15119           2254          6829011   \n",
       "15    889278841981685760           25329           5479          6829011   \n",
       "16    888917238123831296           29120           4538          6829011   \n",
       "17    888804989199671297           25622           4383          6829011   \n",
       "18    888554962724278272           19938           3615          6829011   \n",
       "19    888078434458587136           21783           3528          6827469   \n",
       "20    887705289381826560           30222           5439          6829011   \n",
       "21    887517139158093824           46298          11759          6829011   \n",
       "22    887473957103951883           69215          18398          6829011   \n",
       "23    887343217045368832           33727          10495          6829011   \n",
       "24    887101392804085760           30577           6007          6829011   \n",
       "25    886983233522544640           35197           7834          6829011   \n",
       "26    886736880519319552           12086           3323          6829011   \n",
       "27    886680336477933568           22458           4509          6829011   \n",
       "28    886366144734445568           21159           3210          6829011   \n",
       "29    886267009285017600             116              4          6829011   \n",
       "...                  ...             ...            ...              ...   \n",
       "2314  666411507551481857             450            329          6829278   \n",
       "2315  666407126856765440             111             41          6829278   \n",
       "2316  666396247373291520             168             86          6829278   \n",
       "2317  666373753744588802             189             93          6829278   \n",
       "2318  666362758909284353             783            577          6829278   \n",
       "2319  666353288456101888             223             73          6829278   \n",
       "2320  666345417576210432             300            140          6829278   \n",
       "2321  666337882303524864             199             92          6829278   \n",
       "2322  666293911632134144             511            358          6829278   \n",
       "2323  666287406224695296             150             68          6829278   \n",
       "2324  666273097616637952             178             76          6829278   \n",
       "2325  666268910803644416             105             35          6829278   \n",
       "2326  666104133288665088           14406           6663          6829278   \n",
       "2327  666102155909144576              79             13          6829279   \n",
       "2328  666099513787052032             158             69          6829279   \n",
       "2329  666094000022159362             166             76          6829279   \n",
       "2330  666082916733198337             119             45          6829279   \n",
       "2331  666073100786774016             323            166          6829279   \n",
       "2332  666071193221509120             148             62          6829279   \n",
       "2333  666063827256086533             479            223          6829279   \n",
       "2334  666058600524156928             112             57          6829279   \n",
       "2335  666057090499244032             298            141          6829279   \n",
       "2336  666055525042405380             437            257          6829279   \n",
       "2337  666051853826850816            1229            854          6829280   \n",
       "2338  666050758794694657             132             58          6829279   \n",
       "2339  666049248165822465             109             40          6829279   \n",
       "2340  666044226329800704             299            141          6829279   \n",
       "2341  666033412701032449             125             44          6829279   \n",
       "2342  666029285002620928             130             47          6829279   \n",
       "2343  666020888022790149            2562            518          6829279   \n",
       "\n",
       "      friends_count              source retweeted_status  \\\n",
       "0               103  Twitter for iPhone   Original tweet   \n",
       "1               103  Twitter for iPhone   Original tweet   \n",
       "2               103  Twitter for iPhone   Original tweet   \n",
       "3               103  Twitter for iPhone   Original tweet   \n",
       "4               103  Twitter for iPhone   Original tweet   \n",
       "5               103  Twitter for iPhone   Original tweet   \n",
       "6               103  Twitter for iPhone   Original tweet   \n",
       "7               103  Twitter for iPhone   Original tweet   \n",
       "8               103  Twitter for iPhone   Original tweet   \n",
       "9               103  Twitter for iPhone   Original tweet   \n",
       "10              103  Twitter for iPhone   Original tweet   \n",
       "11              103  Twitter for iPhone   Original tweet   \n",
       "12              103  Twitter for iPhone   Original tweet   \n",
       "13              103  Twitter for iPhone   Original tweet   \n",
       "14              103  Twitter for iPhone   Original tweet   \n",
       "15              103  Twitter for iPhone   Original tweet   \n",
       "16              103  Twitter for iPhone   Original tweet   \n",
       "17              103  Twitter for iPhone   Original tweet   \n",
       "18              103  Twitter for iPhone   Original tweet   \n",
       "19              103  Twitter for iPhone   Original tweet   \n",
       "20              103  Twitter for iPhone   Original tweet   \n",
       "21              103  Twitter for iPhone   Original tweet   \n",
       "22              103  Twitter for iPhone   Original tweet   \n",
       "23              103  Twitter for iPhone   Original tweet   \n",
       "24              103  Twitter for iPhone   Original tweet   \n",
       "25              103  Twitter for iPhone   Original tweet   \n",
       "26              103  Twitter for iPhone   Original tweet   \n",
       "27              103  Twitter for iPhone   Original tweet   \n",
       "28              103  Twitter for iPhone   Original tweet   \n",
       "29              103  Twitter for iPhone   Original tweet   \n",
       "...             ...                 ...              ...   \n",
       "2314            103  Twitter for iPhone   Original tweet   \n",
       "2315            103  Twitter for iPhone   Original tweet   \n",
       "2316            103  Twitter for iPhone   Original tweet   \n",
       "2317            103  Twitter for iPhone   Original tweet   \n",
       "2318            103  Twitter for iPhone   Original tweet   \n",
       "2319            103  Twitter for iPhone   Original tweet   \n",
       "2320            103  Twitter for iPhone   Original tweet   \n",
       "2321            103  Twitter for iPhone   Original tweet   \n",
       "2322            103  Twitter for iPhone   Original tweet   \n",
       "2323            103  Twitter for iPhone   Original tweet   \n",
       "2324            103  Twitter for iPhone   Original tweet   \n",
       "2325            103  Twitter for iPhone   Original tweet   \n",
       "2326            103  Twitter for iPhone   Original tweet   \n",
       "2327            103  Twitter for iPhone   Original tweet   \n",
       "2328            103  Twitter for iPhone   Original tweet   \n",
       "2329            103  Twitter for iPhone   Original tweet   \n",
       "2330            103  Twitter for iPhone   Original tweet   \n",
       "2331            103  Twitter for iPhone   Original tweet   \n",
       "2332            103  Twitter for iPhone   Original tweet   \n",
       "2333            103  Twitter for iPhone   Original tweet   \n",
       "2334            103  Twitter for iPhone   Original tweet   \n",
       "2335            103  Twitter for iPhone   Original tweet   \n",
       "2336            103  Twitter for iPhone   Original tweet   \n",
       "2337            103  Twitter for iPhone   Original tweet   \n",
       "2338            103  Twitter for iPhone   Original tweet   \n",
       "2339            103  Twitter for iPhone   Original tweet   \n",
       "2340            103  Twitter for iPhone   Original tweet   \n",
       "2341            103  Twitter for iPhone   Original tweet   \n",
       "2342            103  Twitter for iPhone   Original tweet   \n",
       "2343            103  Twitter for iPhone   Original tweet   \n",
       "\n",
       "                          url  \n",
       "0     https://t.co/MgUWQ76dJU  \n",
       "1     https://t.co/aQFSeaCu9L  \n",
       "2     https://t.co/r0YlrsGCgy  \n",
       "3     https://t.co/tD36da7qLQ  \n",
       "4     https://t.co/0g0KMIVXZ3  \n",
       "5     https://t.co/xx5cilW0Dd  \n",
       "6     https://t.co/MV01Q820LT  \n",
       "7     https://t.co/hrcFOGi12V  \n",
       "8     https://t.co/UkrdQyoYxV  \n",
       "9     https://t.co/l3TSS3o2M0  \n",
       "10    https://t.co/jy2alqaYPH  \n",
       "11    https://t.co/u1XPQMl29g  \n",
       "12    https://t.co/BxvuXk0UCm  \n",
       "13    https://t.co/f8dEDcrKSR  \n",
       "14    https://t.co/Ya3bdfYuCx  \n",
       "15    https://t.co/qw5xRwBaIv  \n",
       "16    https://t.co/chxruIOUJN  \n",
       "17    https://t.co/L5cCoR2huQ  \n",
       "18    https://t.co/YnYAFCTTiK  \n",
       "19    https://t.co/UibDBnVpvR  \n",
       "20    https://t.co/m7BR4JgDrZ  \n",
       "21    https://t.co/20VrLAA8ba  \n",
       "22    https://t.co/cLyzpcUcMX  \n",
       "23    https://t.co/WZqNqygEyV  \n",
       "24    https://t.co/UgW2xbO7Rg  \n",
       "25    https://t.co/I6oNy0CgiT  \n",
       "26    https://t.co/RipKYZ0T1u  \n",
       "27    https://t.co/BCoWue0abA  \n",
       "28    https://t.co/iIu3AF8IWH  \n",
       "29                          n  \n",
       "...                       ...  \n",
       "2314  https://t.co/aMCTNWO94t  \n",
       "2315  https://t.co/LopTBkKa8h  \n",
       "2316  https://t.co/Dc7b0E8qFE  \n",
       "2317  https://t.co/uHXrPkUEyl  \n",
       "2318  https://t.co/XMD9CwjEnM  \n",
       "2319  https://t.co/tltQ5w9aUO  \n",
       "2320  https://t.co/VFKG1vxGjB  \n",
       "2321  https://t.co/QpRjllzWAL  \n",
       "2322  https://t.co/IIXis0zta0  \n",
       "2323  https://t.co/d9NcXFKwLv  \n",
       "2324  https://t.co/ws2AMaNwPW  \n",
       "2325  https://t.co/0yxApIikpk  \n",
       "2326  https://t.co/Asgdc6kuLX  \n",
       "2327  https://t.co/11LvqN4WLq  \n",
       "2328  https://t.co/Ri4nMTLq5C  \n",
       "2329  https://t.co/mnioXo3IfP  \n",
       "2330  https://t.co/3RU6x0vHB7  \n",
       "2331  https://t.co/Yk6GHE9tOY  \n",
       "2332  https://t.co/ZoL8kq2XFx  \n",
       "2333  https://t.co/RhUEAloehK  \n",
       "2334  https://t.co/pYAJkAe76p  \n",
       "2335  https://t.co/yWBqbrzy8O  \n",
       "2336  https://t.co/rdivxLiqEt  \n",
       "2337  https://t.co/v5A4vzSDdc  \n",
       "2338  https://t.co/fvIbQfHjIe  \n",
       "2339  https://t.co/4B7cOc1EDq  \n",
       "2340  https://t.co/DWnyCjf2mx  \n",
       "2341  https://t.co/y671yMhoiR  \n",
       "2342  https://t.co/r7mOb2m0UI  \n",
       "2343  https://t.co/BLDqew2Ijj  \n",
       "\n",
       "[2344 rows x 8 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweet_json"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Programmatic assessment\n",
    "\n",
    "Pandas' functions and/or methods are used to assess the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(twitter_archive['tweet_id'].duplicated())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12      558\n",
       "11      464\n",
       "10      461\n",
       "13      351\n",
       "9       158\n",
       "8       102\n",
       "7        55\n",
       "14       54\n",
       "5        37\n",
       "6        32\n",
       "3        19\n",
       "4        17\n",
       "1         9\n",
       "2         9\n",
       "420       2\n",
       "0         2\n",
       "15        2\n",
       "75        2\n",
       "80        1\n",
       "20        1\n",
       "24        1\n",
       "26        1\n",
       "44        1\n",
       "50        1\n",
       "60        1\n",
       "165       1\n",
       "84        1\n",
       "88        1\n",
       "144       1\n",
       "182       1\n",
       "143       1\n",
       "666       1\n",
       "960       1\n",
       "1776      1\n",
       "17        1\n",
       "27        1\n",
       "45        1\n",
       "99        1\n",
       "121       1\n",
       "204       1\n",
       "Name: rating_numerator, dtype: int64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive.rating_numerator.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1120    Say hello to this unbelievably well behaved sq...\n",
      "Name: text, dtype: object\n",
      "1634    Two sneaky puppers were not initially seen, mo...\n",
      "Name: text, dtype: object\n",
      "189    @s8n You tried very hard to portray this good ...\n",
      "Name: text, dtype: object\n",
      "Series([], Name: text, dtype: object)\n",
      "1779    IT'S PUPPERGEDDON. Total of 144/120 ...I think...\n",
      "Name: text, dtype: object\n"
     ]
    }
   ],
   "source": [
    "print(twitter_archive.loc[twitter_archive.rating_numerator == 204, 'text']) \n",
    "print(twitter_archive.loc[twitter_archive.rating_numerator == 143, 'text']) \n",
    "print(twitter_archive.loc[twitter_archive.rating_numerator == 666, 'text']) \n",
    "print(twitter_archive.loc[twitter_archive.rating_numerator == 1176, 'text'])\n",
    "print(twitter_archive.loc[twitter_archive.rating_numerator == 144, 'text'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Say hello to this unbelievably well behaved squad of doggos. 204/170 would try to pet all at once https://t.co/yGQI3He3xv\n",
      "Two sneaky puppers were not initially seen, moving the rating to 143/130. Please forgive us. Thank you https://t.co/kRK51Y5ac3\n",
      "@jonnysun @Lin_Manuel ok jomny I know you're excited but 960/00 isn't a valid rating, 13/10 is tho\n",
      "@s8n You tried very hard to portray this good boy as not so good, but you have ultimately failed. His goodness shines through. 666/10\n",
      "IT'S PUPPERGEDDON. Total of 144/120 ...I think https://t.co/ZanVtAtvIq\n"
     ]
    }
   ],
   "source": [
    "#print whole text in order to verify numerators and denominators\n",
    "print(twitter_archive['text'][1120]) #17 dogs\n",
    "print(twitter_archive['text'][1634]) #13 dogs\n",
    "print(twitter_archive['text'][313]) #just a tweet to explain actual ratings, this will be ignored when cleaning data\n",
    "print(twitter_archive['text'][189]) #no picture, this will be ignored when cleaning data\n",
    "print(twitter_archive['text'][1779]) #12 dogs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10     2333\n",
       "11        3\n",
       "50        3\n",
       "80        2\n",
       "20        2\n",
       "2         1\n",
       "16        1\n",
       "40        1\n",
       "70        1\n",
       "15        1\n",
       "90        1\n",
       "110       1\n",
       "120       1\n",
       "130       1\n",
       "150       1\n",
       "170       1\n",
       "7         1\n",
       "0         1\n",
       "Name: rating_denominator, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive.rating_denominator.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "784     RT @dog_rates: After so many requests, this is...\n",
      "1068    After so many requests, this is Bretagne. She ...\n",
      "1662    This is Darrel. He just robbed a 7/11 and is i...\n",
      "Name: text, dtype: object\n",
      "2335    This is an Albanian 3 1/2 legged  Episcopalian...\n",
      "Name: text, dtype: object\n",
      "1663    I'm aware that I could've said 20/16, but here...\n",
      "Name: text, dtype: object\n",
      "342    @docmisterio account started on 11/15/15\n",
      "Name: text, dtype: object\n",
      "516    Meet Sam. She smiles 24/7 &amp; secretly aspir...\n",
      "Name: text, dtype: object\n"
     ]
    }
   ],
   "source": [
    "print(twitter_archive.loc[twitter_archive.rating_denominator == 11, 'text']) \n",
    "print(twitter_archive.loc[twitter_archive.rating_denominator == 2, 'text']) \n",
    "print(twitter_archive.loc[twitter_archive.rating_denominator == 16, 'text']) \n",
    "print(twitter_archive.loc[twitter_archive.rating_denominator == 15, 'text'])\n",
    "print(twitter_archive.loc[twitter_archive.rating_denominator == 7, 'text'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RT @dog_rates: After so many requests, this is Bretagne. She was the last surviving 9/11 search dog, and our second ever 14/10. RIP https:/…\n",
      "After so many requests, this is Bretagne. She was the last surviving 9/11 search dog, and our second ever 14/10. RIP https://t.co/XAVDNDaVgQ\n",
      "This is Darrel. He just robbed a 7/11 and is in a high speed police chase. Was just spotted by the helicopter 10/10 https://t.co/7EsP8LmSp5\n",
      "This is an Albanian 3 1/2 legged  Episcopalian. Loves well-polished hardwood flooring. Penis on the collar. 9/10 https://t.co/d9NcXFKwLv\n",
      "I'm aware that I could've said 20/16, but here at WeRateDogs we are very professional. An inconsistent rating scale is simply irresponsible\n",
      "@docmisterio account started on 11/15/15\n",
      "Meet Sam. She smiles 24/7 &amp; secretly aspires to be a reindeer. \n",
      "Keep Sam smiling by clicking and sharing this link:\n",
      "https://t.co/98tB8y7y7t https://t.co/LouL5vdvxx\n"
     ]
    }
   ],
   "source": [
    "print(twitter_archive['text'][784]) #retweet - it will be deleted when delete all retweets\n",
    "print(twitter_archive['text'][1068]) #actual rating 14/10 need to change manually\n",
    "print(twitter_archive['text'][1662]) #actual rating 10/10 need to change manually\n",
    "print(twitter_archive['text'][2335]) #actual rating 9/10 need to change manually\n",
    "print(twitter_archive['text'][1663]) # tweet to explain rating\n",
    "print(twitter_archive['text'][342]) #no rating - delete\n",
    "print(twitter_archive['text'][516]) #no rating - delete"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
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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",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [tweet_id, in_reply_to_status_id, in_reply_to_user_id, timestamp, source, text, retweeted_status_id, retweeted_status_user_id, retweeted_status_timestamp, expanded_urls, rating_numerator, rating_denominator, name, doggo, floofer, pupper, puppo]\n",
       "Index: []"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#   UDACITY REVIEWER POINT: \n",
    "#Check the numerator - in the source data there seems to be fractional numerators. Are those preserved \n",
    "#when exporting the data? Take a look at the id = 681340665377193000\n",
    "\n",
    "#TWITTER_ID NOT FOUND\n",
    "\n",
    "twitter_archive[twitter_archive['tweet_id'] == 681340665377193000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.6/site-packages/ipykernel/__main__.py:4: UserWarning: This pattern has match groups. To actually get the groups, use str.extract.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>text</th>\n",
       "      <th>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>883482846933004288</td>\n",
       "      <td>This is Bella. She hopes her smile made you smile. If not, she is also offering you her favorite monkey. 13.5/10 https://t.co/qjrljjt948</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>832215909146226688</td>\n",
       "      <td>RT @dog_rates: This is Logan, the Chow who lived. He solemnly swears he's up to lots of good. H*ckin magical af 9.75/10 https://t.co/yBO5wu…</td>\n",
       "      <td>75</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>695</th>\n",
       "      <td>786709082849828864</td>\n",
       "      <td>This is Logan, the Chow who lived. He solemnly swears he's up to lots of good. H*ckin magical af 9.75/10 https://t.co/yBO5wuqaPS</td>\n",
       "      <td>75</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>763</th>\n",
       "      <td>778027034220126208</td>\n",
       "      <td>This is Sophie. She's a Jubilant Bush Pupper. Super h*ckin rare. Appears at random just to smile at the locals. 11.27/10 would smile back https://t.co/QFaUiIHxHq</td>\n",
       "      <td>27</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1689</th>\n",
       "      <td>681340665377193984</td>\n",
       "      <td>I've been told there's a slight possibility he's checking his mirror. We'll bump to 9.5/10. Still a menace</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1712</th>\n",
       "      <td>680494726643068929</td>\n",
       "      <td>Here we have uncovered an entire battalion of holiday puppers. Average of 11.26/10 https://t.co/eNm2S6p9BD</td>\n",
       "      <td>26</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id  \\\n",
       "45    883482846933004288   \n",
       "340   832215909146226688   \n",
       "695   786709082849828864   \n",
       "763   778027034220126208   \n",
       "1689  681340665377193984   \n",
       "1712  680494726643068929   \n",
       "\n",
       "                                                                                                                                                                   text  \\\n",
       "45                             This is Bella. She hopes her smile made you smile. If not, she is also offering you her favorite monkey. 13.5/10 https://t.co/qjrljjt948   \n",
       "340                        RT @dog_rates: This is Logan, the Chow who lived. He solemnly swears he's up to lots of good. H*ckin magical af 9.75/10 https://t.co/yBO5wu…   \n",
       "695                                    This is Logan, the Chow who lived. He solemnly swears he's up to lots of good. H*ckin magical af 9.75/10 https://t.co/yBO5wuqaPS   \n",
       "763   This is Sophie. She's a Jubilant Bush Pupper. Super h*ckin rare. Appears at random just to smile at the locals. 11.27/10 would smile back https://t.co/QFaUiIHxHq   \n",
       "1689                                                         I've been told there's a slight possibility he's checking his mirror. We'll bump to 9.5/10. Still a menace   \n",
       "1712                                                         Here we have uncovered an entire battalion of holiday puppers. Average of 11.26/10 https://t.co/eNm2S6p9BD   \n",
       "\n",
       "      rating_numerator  rating_denominator  \n",
       "45                   5                  10  \n",
       "340                 75                  10  \n",
       "695                 75                  10  \n",
       "763                 27                  10  \n",
       "1689                 5                  10  \n",
       "1712                26                  10  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Reviewer point brought something to my attention that it was not picked up during the first assessment\n",
    "\n",
    "with pd.option_context('max_colwidth', 200):\n",
    "    display(twitter_archive[twitter_archive['text'].str.contains(r\"(\\d+\\.\\d*\\/\\d+)\")]\n",
    "            [['tweet_id', 'text', 'rating_numerator', 'rating_denominator']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>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>61</th>\n",
       "      <td>667152164079423490</td>\n",
       "      <td>https://pbs.twimg.com/media/CUIzWk_UwAAfUNq.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>toy_poodle</td>\n",
       "      <td>0.535411</td>\n",
       "      <td>True</td>\n",
       "      <td>Pomeranian</td>\n",
       "      <td>0.087544</td>\n",
       "      <td>True</td>\n",
       "      <td>miniature_poodle</td>\n",
       "      <td>0.062050</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>669564461267722241</td>\n",
       "      <td>https://pbs.twimg.com/media/CUrFUvDVAAA9H-F.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>toy_poodle</td>\n",
       "      <td>0.623685</td>\n",
       "      <td>True</td>\n",
       "      <td>miniature_poodle</td>\n",
       "      <td>0.259920</td>\n",
       "      <td>True</td>\n",
       "      <td>standard_poodle</td>\n",
       "      <td>0.082530</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1628</th>\n",
       "      <td>804738756058218496</td>\n",
       "      <td>https://pbs.twimg.com/media/CysBn-lWIAAoRx1.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Tibetan_mastiff</td>\n",
       "      <td>0.915790</td>\n",
       "      <td>True</td>\n",
       "      <td>German_shepherd</td>\n",
       "      <td>0.062480</td>\n",
       "      <td>True</td>\n",
       "      <td>Leonberg</td>\n",
       "      <td>0.008297</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>673295268553605120</td>\n",
       "      <td>https://pbs.twimg.com/media/CVgGc9hWIAIe1bn.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.889241</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.064683</td>\n",
       "      <td>True</td>\n",
       "      <td>Great_Pyrenees</td>\n",
       "      <td>0.012613</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1689</th>\n",
       "      <td>815639385530101762</td>\n",
       "      <td>https://pbs.twimg.com/media/C1G7sXyWIAA10eH.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>German_shepherd</td>\n",
       "      <td>0.817953</td>\n",
       "      <td>True</td>\n",
       "      <td>Norwegian_elkhound</td>\n",
       "      <td>0.140007</td>\n",
       "      <td>True</td>\n",
       "      <td>malinois</td>\n",
       "      <td>0.024821</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1808</th>\n",
       "      <td>832636094638288896</td>\n",
       "      <td>https://pbs.twimg.com/media/C44eG7oUMAAA4Ss.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Eskimo_dog</td>\n",
       "      <td>0.525032</td>\n",
       "      <td>True</td>\n",
       "      <td>Siberian_husky</td>\n",
       "      <td>0.252238</td>\n",
       "      <td>True</td>\n",
       "      <td>malamute</td>\n",
       "      <td>0.216839</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>668623201287675904</td>\n",
       "      <td>https://pbs.twimg.com/media/CUdtP1xUYAIeBnE.jpg</td>\n",
       "      <td>4</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.708163</td>\n",
       "      <td>True</td>\n",
       "      <td>Pomeranian</td>\n",
       "      <td>0.091372</td>\n",
       "      <td>True</td>\n",
       "      <td>titi</td>\n",
       "      <td>0.067325</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1581</th>\n",
       "      <td>796484825502875648</td>\n",
       "      <td>https://pbs.twimg.com/media/Cw2uty8VQAAB0pL.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>cocker_spaniel</td>\n",
       "      <td>0.116924</td>\n",
       "      <td>True</td>\n",
       "      <td>seat_belt</td>\n",
       "      <td>0.107511</td>\n",
       "      <td>False</td>\n",
       "      <td>Australian_terrier</td>\n",
       "      <td>0.099843</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>407</th>\n",
       "      <td>673709992831262724</td>\n",
       "      <td>https://pbs.twimg.com/media/CVl_qbjW4AA8Mam.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.330171</td>\n",
       "      <td>True</td>\n",
       "      <td>Siamese_cat</td>\n",
       "      <td>0.181580</td>\n",
       "      <td>False</td>\n",
       "      <td>kelpie</td>\n",
       "      <td>0.178227</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>772</th>\n",
       "      <td>689557536375177216</td>\n",
       "      <td>https://pbs.twimg.com/media/CZHM60BWIAA4AY4.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Eskimo_dog</td>\n",
       "      <td>0.169482</td>\n",
       "      <td>True</td>\n",
       "      <td>Siberian_husky</td>\n",
       "      <td>0.161655</td>\n",
       "      <td>True</td>\n",
       "      <td>dingo</td>\n",
       "      <td>0.154414</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id                                          jpg_url  \\\n",
       "61    667152164079423490  https://pbs.twimg.com/media/CUIzWk_UwAAfUNq.jpg   \n",
       "191   669564461267722241  https://pbs.twimg.com/media/CUrFUvDVAAA9H-F.jpg   \n",
       "1628  804738756058218496  https://pbs.twimg.com/media/CysBn-lWIAAoRx1.jpg   \n",
       "380   673295268553605120  https://pbs.twimg.com/media/CVgGc9hWIAIe1bn.jpg   \n",
       "1689  815639385530101762  https://pbs.twimg.com/media/C1G7sXyWIAA10eH.jpg   \n",
       "1808  832636094638288896  https://pbs.twimg.com/media/C44eG7oUMAAA4Ss.jpg   \n",
       "144   668623201287675904  https://pbs.twimg.com/media/CUdtP1xUYAIeBnE.jpg   \n",
       "1581  796484825502875648  https://pbs.twimg.com/media/Cw2uty8VQAAB0pL.jpg   \n",
       "407   673709992831262724  https://pbs.twimg.com/media/CVl_qbjW4AA8Mam.jpg   \n",
       "772   689557536375177216  https://pbs.twimg.com/media/CZHM60BWIAA4AY4.jpg   \n",
       "\n",
       "      img_num                p1   p1_conf  p1_dog                  p2  \\\n",
       "61          1        toy_poodle  0.535411    True          Pomeranian   \n",
       "191         1        toy_poodle  0.623685    True    miniature_poodle   \n",
       "1628        1   Tibetan_mastiff  0.915790    True     German_shepherd   \n",
       "380         1  golden_retriever  0.889241    True  Labrador_retriever   \n",
       "1689        1   German_shepherd  0.817953    True  Norwegian_elkhound   \n",
       "1808        1        Eskimo_dog  0.525032    True      Siberian_husky   \n",
       "144         4         Chihuahua  0.708163    True          Pomeranian   \n",
       "1581        1    cocker_spaniel  0.116924    True           seat_belt   \n",
       "407         1         Chihuahua  0.330171    True         Siamese_cat   \n",
       "772         1        Eskimo_dog  0.169482    True      Siberian_husky   \n",
       "\n",
       "       p2_conf  p2_dog                  p3   p3_conf  p3_dog  \n",
       "61    0.087544    True    miniature_poodle  0.062050    True  \n",
       "191   0.259920    True     standard_poodle  0.082530    True  \n",
       "1628  0.062480    True            Leonberg  0.008297    True  \n",
       "380   0.064683    True      Great_Pyrenees  0.012613    True  \n",
       "1689  0.140007    True            malinois  0.024821    True  \n",
       "1808  0.252238    True            malamute  0.216839    True  \n",
       "144   0.091372    True                titi  0.067325   False  \n",
       "1581  0.107511   False  Australian_terrier  0.099843    True  \n",
       "407   0.181580   False              kelpie  0.178227    True  \n",
       "772   0.161655    True               dingo  0.154414   False  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_prediction.sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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_prediction.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "66"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(image_prediction.jpg_url.duplicated())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "      <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",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>675354435921575936</td>\n",
       "      <td>https://pbs.twimg.com/ext_tw_video_thumb/67535...</td>\n",
       "      <td>1</td>\n",
       "      <td>upright</td>\n",
       "      <td>0.303415</td>\n",
       "      <td>False</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.181351</td>\n",
       "      <td>True</td>\n",
       "      <td>Brittany_spaniel</td>\n",
       "      <td>0.162084</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1297</th>\n",
       "      <td>752309394570878976</td>\n",
       "      <td>https://pbs.twimg.com/ext_tw_video_thumb/67535...</td>\n",
       "      <td>1</td>\n",
       "      <td>upright</td>\n",
       "      <td>0.303415</td>\n",
       "      <td>False</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.181351</td>\n",
       "      <td>True</td>\n",
       "      <td>Brittany_spaniel</td>\n",
       "      <td>0.162084</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1641</th>\n",
       "      <td>807106840509214720</td>\n",
       "      <td>https://pbs.twimg.com/ext_tw_video_thumb/80710...</td>\n",
       "      <td>1</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.505370</td>\n",
       "      <td>True</td>\n",
       "      <td>Pomeranian</td>\n",
       "      <td>0.120358</td>\n",
       "      <td>True</td>\n",
       "      <td>toy_terrier</td>\n",
       "      <td>0.077008</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1864</th>\n",
       "      <td>842892208864923648</td>\n",
       "      <td>https://pbs.twimg.com/ext_tw_video_thumb/80710...</td>\n",
       "      <td>1</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.505370</td>\n",
       "      <td>True</td>\n",
       "      <td>Pomeranian</td>\n",
       "      <td>0.120358</td>\n",
       "      <td>True</td>\n",
       "      <td>toy_terrier</td>\n",
       "      <td>0.077008</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1691</th>\n",
       "      <td>815966073409433600</td>\n",
       "      <td>https://pbs.twimg.com/ext_tw_video_thumb/81596...</td>\n",
       "      <td>1</td>\n",
       "      <td>Tibetan_mastiff</td>\n",
       "      <td>0.506312</td>\n",
       "      <td>True</td>\n",
       "      <td>Tibetan_terrier</td>\n",
       "      <td>0.295690</td>\n",
       "      <td>True</td>\n",
       "      <td>otterhound</td>\n",
       "      <td>0.036251</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1703</th>\n",
       "      <td>817181837579653120</td>\n",
       "      <td>https://pbs.twimg.com/ext_tw_video_thumb/81596...</td>\n",
       "      <td>1</td>\n",
       "      <td>Tibetan_mastiff</td>\n",
       "      <td>0.506312</td>\n",
       "      <td>True</td>\n",
       "      <td>Tibetan_terrier</td>\n",
       "      <td>0.295690</td>\n",
       "      <td>True</td>\n",
       "      <td>otterhound</td>\n",
       "      <td>0.036251</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1705</th>\n",
       "      <td>817423860136083457</td>\n",
       "      <td>https://pbs.twimg.com/ext_tw_video_thumb/81742...</td>\n",
       "      <td>1</td>\n",
       "      <td>ice_bear</td>\n",
       "      <td>0.336200</td>\n",
       "      <td>False</td>\n",
       "      <td>Samoyed</td>\n",
       "      <td>0.201358</td>\n",
       "      <td>True</td>\n",
       "      <td>Eskimo_dog</td>\n",
       "      <td>0.186789</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1858</th>\n",
       "      <td>841833993020538882</td>\n",
       "      <td>https://pbs.twimg.com/ext_tw_video_thumb/81742...</td>\n",
       "      <td>1</td>\n",
       "      <td>ice_bear</td>\n",
       "      <td>0.336200</td>\n",
       "      <td>False</td>\n",
       "      <td>Samoyed</td>\n",
       "      <td>0.201358</td>\n",
       "      <td>True</td>\n",
       "      <td>Eskimo_dog</td>\n",
       "      <td>0.186789</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1715</th>\n",
       "      <td>819004803107983360</td>\n",
       "      <td>https://pbs.twimg.com/media/C12whDoVEAALRxa.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>standard_poodle</td>\n",
       "      <td>0.351308</td>\n",
       "      <td>True</td>\n",
       "      <td>toy_poodle</td>\n",
       "      <td>0.271929</td>\n",
       "      <td>True</td>\n",
       "      <td>Tibetan_terrier</td>\n",
       "      <td>0.094759</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1718</th>\n",
       "      <td>819015337530290176</td>\n",
       "      <td>https://pbs.twimg.com/media/C12whDoVEAALRxa.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>standard_poodle</td>\n",
       "      <td>0.351308</td>\n",
       "      <td>True</td>\n",
       "      <td>toy_poodle</td>\n",
       "      <td>0.271929</td>\n",
       "      <td>True</td>\n",
       "      <td>Tibetan_terrier</td>\n",
       "      <td>0.094759</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1716</th>\n",
       "      <td>819006400881917954</td>\n",
       "      <td>https://pbs.twimg.com/media/C12x-JTVIAAzdfl.jpg</td>\n",
       "      <td>4</td>\n",
       "      <td>prison</td>\n",
       "      <td>0.907083</td>\n",
       "      <td>False</td>\n",
       "      <td>palace</td>\n",
       "      <td>0.020089</td>\n",
       "      <td>False</td>\n",
       "      <td>umbrella</td>\n",
       "      <td>0.007850</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1717</th>\n",
       "      <td>819015331746349057</td>\n",
       "      <td>https://pbs.twimg.com/media/C12x-JTVIAAzdfl.jpg</td>\n",
       "      <td>4</td>\n",
       "      <td>prison</td>\n",
       "      <td>0.907083</td>\n",
       "      <td>False</td>\n",
       "      <td>palace</td>\n",
       "      <td>0.020089</td>\n",
       "      <td>False</td>\n",
       "      <td>umbrella</td>\n",
       "      <td>0.007850</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1738</th>\n",
       "      <td>822244816520155136</td>\n",
       "      <td>https://pbs.twimg.com/media/C2kzTGxWEAEOpPL.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Samoyed</td>\n",
       "      <td>0.585441</td>\n",
       "      <td>True</td>\n",
       "      <td>Pomeranian</td>\n",
       "      <td>0.193654</td>\n",
       "      <td>True</td>\n",
       "      <td>Arctic_fox</td>\n",
       "      <td>0.071648</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1746</th>\n",
       "      <td>823269594223824897</td>\n",
       "      <td>https://pbs.twimg.com/media/C2kzTGxWEAEOpPL.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Samoyed</td>\n",
       "      <td>0.585441</td>\n",
       "      <td>True</td>\n",
       "      <td>Pomeranian</td>\n",
       "      <td>0.193654</td>\n",
       "      <td>True</td>\n",
       "      <td>Arctic_fox</td>\n",
       "      <td>0.071648</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1740</th>\n",
       "      <td>822489057087389700</td>\n",
       "      <td>https://pbs.twimg.com/media/C2oRbOuWEAAbVSl.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Samoyed</td>\n",
       "      <td>0.416769</td>\n",
       "      <td>True</td>\n",
       "      <td>malamute</td>\n",
       "      <td>0.252706</td>\n",
       "      <td>True</td>\n",
       "      <td>kuvasz</td>\n",
       "      <td>0.157028</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1742</th>\n",
       "      <td>822647212903690241</td>\n",
       "      <td>https://pbs.twimg.com/media/C2oRbOuWEAAbVSl.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Samoyed</td>\n",
       "      <td>0.416769</td>\n",
       "      <td>True</td>\n",
       "      <td>malamute</td>\n",
       "      <td>0.252706</td>\n",
       "      <td>True</td>\n",
       "      <td>kuvasz</td>\n",
       "      <td>0.157028</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1767</th>\n",
       "      <td>826958653328592898</td>\n",
       "      <td>https://pbs.twimg.com/media/C3nygbBWQAAjwcW.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.617389</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.337053</td>\n",
       "      <td>True</td>\n",
       "      <td>tennis_ball</td>\n",
       "      <td>0.008554</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1789</th>\n",
       "      <td>829878982036299777</td>\n",
       "      <td>https://pbs.twimg.com/media/C3nygbBWQAAjwcW.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.617389</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.337053</td>\n",
       "      <td>True</td>\n",
       "      <td>tennis_ball</td>\n",
       "      <td>0.008554</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1785</th>\n",
       "      <td>829374341691346946</td>\n",
       "      <td>https://pbs.twimg.com/media/C4KHj-nWQAA3poV.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Staffordshire_bullterrier</td>\n",
       "      <td>0.757547</td>\n",
       "      <td>True</td>\n",
       "      <td>American_Staffordshire_terrier</td>\n",
       "      <td>0.149950</td>\n",
       "      <td>True</td>\n",
       "      <td>Chesapeake_Bay_retriever</td>\n",
       "      <td>0.047523</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1903</th>\n",
       "      <td>851953902622658560</td>\n",
       "      <td>https://pbs.twimg.com/media/C4KHj-nWQAA3poV.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Staffordshire_bullterrier</td>\n",
       "      <td>0.757547</td>\n",
       "      <td>True</td>\n",
       "      <td>American_Staffordshire_terrier</td>\n",
       "      <td>0.149950</td>\n",
       "      <td>True</td>\n",
       "      <td>Chesapeake_Bay_retriever</td>\n",
       "      <td>0.047523</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1791</th>\n",
       "      <td>830583320585068544</td>\n",
       "      <td>https://pbs.twimg.com/media/C4bTH6nWMAAX_bJ.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.908703</td>\n",
       "      <td>True</td>\n",
       "      <td>seat_belt</td>\n",
       "      <td>0.057091</td>\n",
       "      <td>False</td>\n",
       "      <td>pug</td>\n",
       "      <td>0.011933</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2041</th>\n",
       "      <td>885311592912609280</td>\n",
       "      <td>https://pbs.twimg.com/media/C4bTH6nWMAAX_bJ.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.908703</td>\n",
       "      <td>True</td>\n",
       "      <td>seat_belt</td>\n",
       "      <td>0.057091</td>\n",
       "      <td>False</td>\n",
       "      <td>pug</td>\n",
       "      <td>0.011933</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>670319130621435904</td>\n",
       "      <td>https://pbs.twimg.com/media/CU1zsMSUAAAS0qW.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Irish_terrier</td>\n",
       "      <td>0.254856</td>\n",
       "      <td>True</td>\n",
       "      <td>briard</td>\n",
       "      <td>0.227716</td>\n",
       "      <td>True</td>\n",
       "      <td>soft-coated_wheaten_terrier</td>\n",
       "      <td>0.223263</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1345</th>\n",
       "      <td>759159934323924993</td>\n",
       "      <td>https://pbs.twimg.com/media/CU1zsMSUAAAS0qW.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Irish_terrier</td>\n",
       "      <td>0.254856</td>\n",
       "      <td>True</td>\n",
       "      <td>briard</td>\n",
       "      <td>0.227716</td>\n",
       "      <td>True</td>\n",
       "      <td>soft-coated_wheaten_terrier</td>\n",
       "      <td>0.223263</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>670444955656130560</td>\n",
       "      <td>https://pbs.twimg.com/media/CU3mITUWIAAfyQS.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>English_springer</td>\n",
       "      <td>0.403698</td>\n",
       "      <td>True</td>\n",
       "      <td>Brittany_spaniel</td>\n",
       "      <td>0.347609</td>\n",
       "      <td>True</td>\n",
       "      <td>Welsh_springer_spaniel</td>\n",
       "      <td>0.137186</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1590</th>\n",
       "      <td>798644042770751489</td>\n",
       "      <td>https://pbs.twimg.com/media/CU3mITUWIAAfyQS.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>English_springer</td>\n",
       "      <td>0.403698</td>\n",
       "      <td>True</td>\n",
       "      <td>Brittany_spaniel</td>\n",
       "      <td>0.347609</td>\n",
       "      <td>True</td>\n",
       "      <td>Welsh_springer_spaniel</td>\n",
       "      <td>0.137186</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>667509364010450944</td>\n",
       "      <td>https://pbs.twimg.com/media/CUN4Or5UAAAa5K4.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>beagle</td>\n",
       "      <td>0.636169</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.119256</td>\n",
       "      <td>True</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.082549</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1589</th>\n",
       "      <td>798628517273620480</td>\n",
       "      <td>https://pbs.twimg.com/media/CUN4Or5UAAAa5K4.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>beagle</td>\n",
       "      <td>0.636169</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.119256</td>\n",
       "      <td>True</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.082549</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>671896809300709376</td>\n",
       "      <td>https://pbs.twimg.com/media/CVMOlMiWwAA4Yxl.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>chow</td>\n",
       "      <td>0.243529</td>\n",
       "      <td>True</td>\n",
       "      <td>hamster</td>\n",
       "      <td>0.227150</td>\n",
       "      <td>False</td>\n",
       "      <td>Pomeranian</td>\n",
       "      <td>0.056057</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1591</th>\n",
       "      <td>798665375516884993</td>\n",
       "      <td>https://pbs.twimg.com/media/CVMOlMiWwAA4Yxl.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>chow</td>\n",
       "      <td>0.243529</td>\n",
       "      <td>True</td>\n",
       "      <td>hamster</td>\n",
       "      <td>0.227150</td>\n",
       "      <td>False</td>\n",
       "      <td>Pomeranian</td>\n",
       "      <td>0.056057</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1530</th>\n",
       "      <td>789530877013393408</td>\n",
       "      <td>https://pbs.twimg.com/media/CvT6IV6WEAQhhV5.jpg</td>\n",
       "      <td>3</td>\n",
       "      <td>schipperke</td>\n",
       "      <td>0.363272</td>\n",
       "      <td>True</td>\n",
       "      <td>kelpie</td>\n",
       "      <td>0.197021</td>\n",
       "      <td>True</td>\n",
       "      <td>Norwegian_elkhound</td>\n",
       "      <td>0.151024</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1571</th>\n",
       "      <td>794983741416415232</td>\n",
       "      <td>https://pbs.twimg.com/media/CvT6IV6WEAQhhV5.jpg</td>\n",
       "      <td>3</td>\n",
       "      <td>schipperke</td>\n",
       "      <td>0.363272</td>\n",
       "      <td>True</td>\n",
       "      <td>kelpie</td>\n",
       "      <td>0.197021</td>\n",
       "      <td>True</td>\n",
       "      <td>Norwegian_elkhound</td>\n",
       "      <td>0.151024</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1533</th>\n",
       "      <td>789986466051088384</td>\n",
       "      <td>https://pbs.twimg.com/media/CvaYgDOWgAEfjls.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>tub</td>\n",
       "      <td>0.479477</td>\n",
       "      <td>False</td>\n",
       "      <td>bathtub</td>\n",
       "      <td>0.325106</td>\n",
       "      <td>False</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.078530</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1538</th>\n",
       "      <td>790723298204217344</td>\n",
       "      <td>https://pbs.twimg.com/media/CvaYgDOWgAEfjls.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>tub</td>\n",
       "      <td>0.479477</td>\n",
       "      <td>False</td>\n",
       "      <td>bathtub</td>\n",
       "      <td>0.325106</td>\n",
       "      <td>False</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.078530</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1534</th>\n",
       "      <td>790277117346975746</td>\n",
       "      <td>https://pbs.twimg.com/media/Cveg1-NXgAASaaT.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.427742</td>\n",
       "      <td>True</td>\n",
       "      <td>Great_Dane</td>\n",
       "      <td>0.190503</td>\n",
       "      <td>True</td>\n",
       "      <td>curly-coated_retriever</td>\n",
       "      <td>0.146427</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1683</th>\n",
       "      <td>813944609378369540</td>\n",
       "      <td>https://pbs.twimg.com/media/Cveg1-NXgAASaaT.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.427742</td>\n",
       "      <td>True</td>\n",
       "      <td>Great_Dane</td>\n",
       "      <td>0.190503</td>\n",
       "      <td>True</td>\n",
       "      <td>curly-coated_retriever</td>\n",
       "      <td>0.146427</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1539</th>\n",
       "      <td>790946055508652032</td>\n",
       "      <td>https://pbs.twimg.com/media/CvoBPWRWgAA4het.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>dishwasher</td>\n",
       "      <td>0.700466</td>\n",
       "      <td>False</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.245773</td>\n",
       "      <td>True</td>\n",
       "      <td>chow</td>\n",
       "      <td>0.039012</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1699</th>\n",
       "      <td>816829038950027264</td>\n",
       "      <td>https://pbs.twimg.com/media/CvoBPWRWgAA4het.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>dishwasher</td>\n",
       "      <td>0.700466</td>\n",
       "      <td>False</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.245773</td>\n",
       "      <td>True</td>\n",
       "      <td>chow</td>\n",
       "      <td>0.039012</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1544</th>\n",
       "      <td>791672322847637504</td>\n",
       "      <td>https://pbs.twimg.com/media/CvyVxQRWEAAdSZS.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.705092</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.219721</td>\n",
       "      <td>True</td>\n",
       "      <td>kuvasz</td>\n",
       "      <td>0.015965</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1564</th>\n",
       "      <td>793614319594401792</td>\n",
       "      <td>https://pbs.twimg.com/media/CvyVxQRWEAAdSZS.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.705092</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.219721</td>\n",
       "      <td>True</td>\n",
       "      <td>kuvasz</td>\n",
       "      <td>0.015965</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1561</th>\n",
       "      <td>793286476301799424</td>\n",
       "      <td>https://pbs.twimg.com/media/CwJR1okWIAA6XMp.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Afghan_hound</td>\n",
       "      <td>0.274637</td>\n",
       "      <td>True</td>\n",
       "      <td>borzoi</td>\n",
       "      <td>0.142204</td>\n",
       "      <td>True</td>\n",
       "      <td>doormat</td>\n",
       "      <td>0.109677</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1804</th>\n",
       "      <td>832215726631055365</td>\n",
       "      <td>https://pbs.twimg.com/media/CwJR1okWIAA6XMp.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Afghan_hound</td>\n",
       "      <td>0.274637</td>\n",
       "      <td>True</td>\n",
       "      <td>borzoi</td>\n",
       "      <td>0.142204</td>\n",
       "      <td>True</td>\n",
       "      <td>doormat</td>\n",
       "      <td>0.109677</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566</th>\n",
       "      <td>793962221541933056</td>\n",
       "      <td>https://pbs.twimg.com/media/CwS4aqZXUAAe3IO.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.861651</td>\n",
       "      <td>True</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.044462</td>\n",
       "      <td>True</td>\n",
       "      <td>Staffordshire_bullterrier</td>\n",
       "      <td>0.016497</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1652</th>\n",
       "      <td>809808892968534016</td>\n",
       "      <td>https://pbs.twimg.com/media/CwS4aqZXUAAe3IO.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.861651</td>\n",
       "      <td>True</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.044462</td>\n",
       "      <td>True</td>\n",
       "      <td>Staffordshire_bullterrier</td>\n",
       "      <td>0.016497</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1572</th>\n",
       "      <td>795076730285391872</td>\n",
       "      <td>https://pbs.twimg.com/media/CwiuEJmW8AAZnit.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>gas_pump</td>\n",
       "      <td>0.676439</td>\n",
       "      <td>False</td>\n",
       "      <td>harvester</td>\n",
       "      <td>0.049995</td>\n",
       "      <td>False</td>\n",
       "      <td>swing</td>\n",
       "      <td>0.044660</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1755</th>\n",
       "      <td>824796380199809024</td>\n",
       "      <td>https://pbs.twimg.com/media/CwiuEJmW8AAZnit.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>gas_pump</td>\n",
       "      <td>0.676439</td>\n",
       "      <td>False</td>\n",
       "      <td>harvester</td>\n",
       "      <td>0.049995</td>\n",
       "      <td>False</td>\n",
       "      <td>swing</td>\n",
       "      <td>0.044660</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1578</th>\n",
       "      <td>796149749086875649</td>\n",
       "      <td>https://pbs.twimg.com/media/Cwx99rpW8AMk_Ie.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.600276</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.140798</td>\n",
       "      <td>True</td>\n",
       "      <td>seat_belt</td>\n",
       "      <td>0.087355</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1579</th>\n",
       "      <td>796177847564038144</td>\n",
       "      <td>https://pbs.twimg.com/media/Cwx99rpW8AMk_Ie.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.600276</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.140798</td>\n",
       "      <td>True</td>\n",
       "      <td>seat_belt</td>\n",
       "      <td>0.087355</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1610</th>\n",
       "      <td>801167903437357056</td>\n",
       "      <td>https://pbs.twimg.com/media/Cx5R8wPVEAALa9r.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>cocker_spaniel</td>\n",
       "      <td>0.740220</td>\n",
       "      <td>True</td>\n",
       "      <td>Dandie_Dinmont</td>\n",
       "      <td>0.061604</td>\n",
       "      <td>True</td>\n",
       "      <td>English_setter</td>\n",
       "      <td>0.041331</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1645</th>\n",
       "      <td>808134635716833280</td>\n",
       "      <td>https://pbs.twimg.com/media/Cx5R8wPVEAALa9r.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>cocker_spaniel</td>\n",
       "      <td>0.740220</td>\n",
       "      <td>True</td>\n",
       "      <td>Dandie_Dinmont</td>\n",
       "      <td>0.061604</td>\n",
       "      <td>True</td>\n",
       "      <td>English_setter</td>\n",
       "      <td>0.041331</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1603</th>\n",
       "      <td>800141422401830912</td>\n",
       "      <td>https://pbs.twimg.com/media/CxqsX-8XUAAEvjD.jpg</td>\n",
       "      <td>3</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.938048</td>\n",
       "      <td>True</td>\n",
       "      <td>kuvasz</td>\n",
       "      <td>0.025119</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.022977</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1727</th>\n",
       "      <td>820446719150292993</td>\n",
       "      <td>https://pbs.twimg.com/media/CxqsX-8XUAAEvjD.jpg</td>\n",
       "      <td>3</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.938048</td>\n",
       "      <td>True</td>\n",
       "      <td>kuvasz</td>\n",
       "      <td>0.025119</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.022977</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1638</th>\n",
       "      <td>806629075125202948</td>\n",
       "      <td>https://pbs.twimg.com/media/CzG425nWgAAnP7P.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>Arabian_camel</td>\n",
       "      <td>0.366248</td>\n",
       "      <td>False</td>\n",
       "      <td>house_finch</td>\n",
       "      <td>0.209852</td>\n",
       "      <td>False</td>\n",
       "      <td>cocker_spaniel</td>\n",
       "      <td>0.046403</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1944</th>\n",
       "      <td>861769973181624320</td>\n",
       "      <td>https://pbs.twimg.com/media/CzG425nWgAAnP7P.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>Arabian_camel</td>\n",
       "      <td>0.366248</td>\n",
       "      <td>False</td>\n",
       "      <td>house_finch</td>\n",
       "      <td>0.209852</td>\n",
       "      <td>False</td>\n",
       "      <td>cocker_spaniel</td>\n",
       "      <td>0.046403</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1970</th>\n",
       "      <td>868880397819494401</td>\n",
       "      <td>https://pbs.twimg.com/media/DA7iHL5U0AA1OQo.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>laptop</td>\n",
       "      <td>0.153718</td>\n",
       "      <td>False</td>\n",
       "      <td>French_bulldog</td>\n",
       "      <td>0.099984</td>\n",
       "      <td>True</td>\n",
       "      <td>printer</td>\n",
       "      <td>0.077130</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1992</th>\n",
       "      <td>873697596434513921</td>\n",
       "      <td>https://pbs.twimg.com/media/DA7iHL5U0AA1OQo.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>laptop</td>\n",
       "      <td>0.153718</td>\n",
       "      <td>False</td>\n",
       "      <td>French_bulldog</td>\n",
       "      <td>0.099984</td>\n",
       "      <td>True</td>\n",
       "      <td>printer</td>\n",
       "      <td>0.077130</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2051</th>\n",
       "      <td>887473957103951883</td>\n",
       "      <td>https://pbs.twimg.com/media/DFDw2tyUQAAAFke.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>Pembroke</td>\n",
       "      <td>0.809197</td>\n",
       "      <td>True</td>\n",
       "      <td>Rhodesian_ridgeback</td>\n",
       "      <td>0.054950</td>\n",
       "      <td>True</td>\n",
       "      <td>beagle</td>\n",
       "      <td>0.038915</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2055</th>\n",
       "      <td>888202515573088257</td>\n",
       "      <td>https://pbs.twimg.com/media/DFDw2tyUQAAAFke.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>Pembroke</td>\n",
       "      <td>0.809197</td>\n",
       "      <td>True</td>\n",
       "      <td>Rhodesian_ridgeback</td>\n",
       "      <td>0.054950</td>\n",
       "      <td>True</td>\n",
       "      <td>beagle</td>\n",
       "      <td>0.038915</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1033</th>\n",
       "      <td>711694788429553666</td>\n",
       "      <td>https://pbs.twimg.com/tweet_video_thumb/CeBym7...</td>\n",
       "      <td>1</td>\n",
       "      <td>brown_bear</td>\n",
       "      <td>0.713293</td>\n",
       "      <td>False</td>\n",
       "      <td>Indian_elephant</td>\n",
       "      <td>0.172844</td>\n",
       "      <td>False</td>\n",
       "      <td>water_buffalo</td>\n",
       "      <td>0.038902</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1364</th>\n",
       "      <td>761371037149827077</td>\n",
       "      <td>https://pbs.twimg.com/tweet_video_thumb/CeBym7...</td>\n",
       "      <td>1</td>\n",
       "      <td>brown_bear</td>\n",
       "      <td>0.713293</td>\n",
       "      <td>False</td>\n",
       "      <td>Indian_elephant</td>\n",
       "      <td>0.172844</td>\n",
       "      <td>False</td>\n",
       "      <td>water_buffalo</td>\n",
       "      <td>0.038902</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>132 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id                                            jpg_url  \\\n",
       "480   675354435921575936  https://pbs.twimg.com/ext_tw_video_thumb/67535...   \n",
       "1297  752309394570878976  https://pbs.twimg.com/ext_tw_video_thumb/67535...   \n",
       "1641  807106840509214720  https://pbs.twimg.com/ext_tw_video_thumb/80710...   \n",
       "1864  842892208864923648  https://pbs.twimg.com/ext_tw_video_thumb/80710...   \n",
       "1691  815966073409433600  https://pbs.twimg.com/ext_tw_video_thumb/81596...   \n",
       "1703  817181837579653120  https://pbs.twimg.com/ext_tw_video_thumb/81596...   \n",
       "1705  817423860136083457  https://pbs.twimg.com/ext_tw_video_thumb/81742...   \n",
       "1858  841833993020538882  https://pbs.twimg.com/ext_tw_video_thumb/81742...   \n",
       "1715  819004803107983360    https://pbs.twimg.com/media/C12whDoVEAALRxa.jpg   \n",
       "1718  819015337530290176    https://pbs.twimg.com/media/C12whDoVEAALRxa.jpg   \n",
       "1716  819006400881917954    https://pbs.twimg.com/media/C12x-JTVIAAzdfl.jpg   \n",
       "1717  819015331746349057    https://pbs.twimg.com/media/C12x-JTVIAAzdfl.jpg   \n",
       "1738  822244816520155136    https://pbs.twimg.com/media/C2kzTGxWEAEOpPL.jpg   \n",
       "1746  823269594223824897    https://pbs.twimg.com/media/C2kzTGxWEAEOpPL.jpg   \n",
       "1740  822489057087389700    https://pbs.twimg.com/media/C2oRbOuWEAAbVSl.jpg   \n",
       "1742  822647212903690241    https://pbs.twimg.com/media/C2oRbOuWEAAbVSl.jpg   \n",
       "1767  826958653328592898    https://pbs.twimg.com/media/C3nygbBWQAAjwcW.jpg   \n",
       "1789  829878982036299777    https://pbs.twimg.com/media/C3nygbBWQAAjwcW.jpg   \n",
       "1785  829374341691346946    https://pbs.twimg.com/media/C4KHj-nWQAA3poV.jpg   \n",
       "1903  851953902622658560    https://pbs.twimg.com/media/C4KHj-nWQAA3poV.jpg   \n",
       "1791  830583320585068544    https://pbs.twimg.com/media/C4bTH6nWMAAX_bJ.jpg   \n",
       "2041  885311592912609280    https://pbs.twimg.com/media/C4bTH6nWMAAX_bJ.jpg   \n",
       "224   670319130621435904    https://pbs.twimg.com/media/CU1zsMSUAAAS0qW.jpg   \n",
       "1345  759159934323924993    https://pbs.twimg.com/media/CU1zsMSUAAAS0qW.jpg   \n",
       "241   670444955656130560    https://pbs.twimg.com/media/CU3mITUWIAAfyQS.jpg   \n",
       "1590  798644042770751489    https://pbs.twimg.com/media/CU3mITUWIAAfyQS.jpg   \n",
       "85    667509364010450944    https://pbs.twimg.com/media/CUN4Or5UAAAa5K4.jpg   \n",
       "1589  798628517273620480    https://pbs.twimg.com/media/CUN4Or5UAAAa5K4.jpg   \n",
       "327   671896809300709376    https://pbs.twimg.com/media/CVMOlMiWwAA4Yxl.jpg   \n",
       "1591  798665375516884993    https://pbs.twimg.com/media/CVMOlMiWwAA4Yxl.jpg   \n",
       "...                  ...                                                ...   \n",
       "1530  789530877013393408    https://pbs.twimg.com/media/CvT6IV6WEAQhhV5.jpg   \n",
       "1571  794983741416415232    https://pbs.twimg.com/media/CvT6IV6WEAQhhV5.jpg   \n",
       "1533  789986466051088384    https://pbs.twimg.com/media/CvaYgDOWgAEfjls.jpg   \n",
       "1538  790723298204217344    https://pbs.twimg.com/media/CvaYgDOWgAEfjls.jpg   \n",
       "1534  790277117346975746    https://pbs.twimg.com/media/Cveg1-NXgAASaaT.jpg   \n",
       "1683  813944609378369540    https://pbs.twimg.com/media/Cveg1-NXgAASaaT.jpg   \n",
       "1539  790946055508652032    https://pbs.twimg.com/media/CvoBPWRWgAA4het.jpg   \n",
       "1699  816829038950027264    https://pbs.twimg.com/media/CvoBPWRWgAA4het.jpg   \n",
       "1544  791672322847637504    https://pbs.twimg.com/media/CvyVxQRWEAAdSZS.jpg   \n",
       "1564  793614319594401792    https://pbs.twimg.com/media/CvyVxQRWEAAdSZS.jpg   \n",
       "1561  793286476301799424    https://pbs.twimg.com/media/CwJR1okWIAA6XMp.jpg   \n",
       "1804  832215726631055365    https://pbs.twimg.com/media/CwJR1okWIAA6XMp.jpg   \n",
       "1566  793962221541933056    https://pbs.twimg.com/media/CwS4aqZXUAAe3IO.jpg   \n",
       "1652  809808892968534016    https://pbs.twimg.com/media/CwS4aqZXUAAe3IO.jpg   \n",
       "1572  795076730285391872    https://pbs.twimg.com/media/CwiuEJmW8AAZnit.jpg   \n",
       "1755  824796380199809024    https://pbs.twimg.com/media/CwiuEJmW8AAZnit.jpg   \n",
       "1578  796149749086875649    https://pbs.twimg.com/media/Cwx99rpW8AMk_Ie.jpg   \n",
       "1579  796177847564038144    https://pbs.twimg.com/media/Cwx99rpW8AMk_Ie.jpg   \n",
       "1610  801167903437357056    https://pbs.twimg.com/media/Cx5R8wPVEAALa9r.jpg   \n",
       "1645  808134635716833280    https://pbs.twimg.com/media/Cx5R8wPVEAALa9r.jpg   \n",
       "1603  800141422401830912    https://pbs.twimg.com/media/CxqsX-8XUAAEvjD.jpg   \n",
       "1727  820446719150292993    https://pbs.twimg.com/media/CxqsX-8XUAAEvjD.jpg   \n",
       "1638  806629075125202948    https://pbs.twimg.com/media/CzG425nWgAAnP7P.jpg   \n",
       "1944  861769973181624320    https://pbs.twimg.com/media/CzG425nWgAAnP7P.jpg   \n",
       "1970  868880397819494401    https://pbs.twimg.com/media/DA7iHL5U0AA1OQo.jpg   \n",
       "1992  873697596434513921    https://pbs.twimg.com/media/DA7iHL5U0AA1OQo.jpg   \n",
       "2051  887473957103951883    https://pbs.twimg.com/media/DFDw2tyUQAAAFke.jpg   \n",
       "2055  888202515573088257    https://pbs.twimg.com/media/DFDw2tyUQAAAFke.jpg   \n",
       "1033  711694788429553666  https://pbs.twimg.com/tweet_video_thumb/CeBym7...   \n",
       "1364  761371037149827077  https://pbs.twimg.com/tweet_video_thumb/CeBym7...   \n",
       "\n",
       "      img_num                         p1   p1_conf  p1_dog  \\\n",
       "480         1                    upright  0.303415   False   \n",
       "1297        1                    upright  0.303415   False   \n",
       "1641        1                  Chihuahua  0.505370    True   \n",
       "1864        1                  Chihuahua  0.505370    True   \n",
       "1691        1            Tibetan_mastiff  0.506312    True   \n",
       "1703        1            Tibetan_mastiff  0.506312    True   \n",
       "1705        1                   ice_bear  0.336200   False   \n",
       "1858        1                   ice_bear  0.336200   False   \n",
       "1715        1            standard_poodle  0.351308    True   \n",
       "1718        1            standard_poodle  0.351308    True   \n",
       "1716        4                     prison  0.907083   False   \n",
       "1717        4                     prison  0.907083   False   \n",
       "1738        1                    Samoyed  0.585441    True   \n",
       "1746        1                    Samoyed  0.585441    True   \n",
       "1740        1                    Samoyed  0.416769    True   \n",
       "1742        1                    Samoyed  0.416769    True   \n",
       "1767        1           golden_retriever  0.617389    True   \n",
       "1789        1           golden_retriever  0.617389    True   \n",
       "1785        1  Staffordshire_bullterrier  0.757547    True   \n",
       "1903        1  Staffordshire_bullterrier  0.757547    True   \n",
       "1791        1         Labrador_retriever  0.908703    True   \n",
       "2041        1         Labrador_retriever  0.908703    True   \n",
       "224         1              Irish_terrier  0.254856    True   \n",
       "1345        1              Irish_terrier  0.254856    True   \n",
       "241         1           English_springer  0.403698    True   \n",
       "1590        1           English_springer  0.403698    True   \n",
       "85          1                     beagle  0.636169    True   \n",
       "1589        1                     beagle  0.636169    True   \n",
       "327         1                       chow  0.243529    True   \n",
       "1591        1                       chow  0.243529    True   \n",
       "...       ...                        ...       ...     ...   \n",
       "1530        3                 schipperke  0.363272    True   \n",
       "1571        3                 schipperke  0.363272    True   \n",
       "1533        1                        tub  0.479477   False   \n",
       "1538        1                        tub  0.479477   False   \n",
       "1534        1         Labrador_retriever  0.427742    True   \n",
       "1683        1         Labrador_retriever  0.427742    True   \n",
       "1539        1                 dishwasher  0.700466   False   \n",
       "1699        1                 dishwasher  0.700466   False   \n",
       "1544        1           golden_retriever  0.705092    True   \n",
       "1564        1           golden_retriever  0.705092    True   \n",
       "1561        1               Afghan_hound  0.274637    True   \n",
       "1804        1               Afghan_hound  0.274637    True   \n",
       "1566        1         Labrador_retriever  0.861651    True   \n",
       "1652        1         Labrador_retriever  0.861651    True   \n",
       "1572        2                   gas_pump  0.676439   False   \n",
       "1755        2                   gas_pump  0.676439   False   \n",
       "1578        1           golden_retriever  0.600276    True   \n",
       "1579        1           golden_retriever  0.600276    True   \n",
       "1610        1             cocker_spaniel  0.740220    True   \n",
       "1645        1             cocker_spaniel  0.740220    True   \n",
       "1603        3           golden_retriever  0.938048    True   \n",
       "1727        3           golden_retriever  0.938048    True   \n",
       "1638        2              Arabian_camel  0.366248   False   \n",
       "1944        2              Arabian_camel  0.366248   False   \n",
       "1970        1                     laptop  0.153718   False   \n",
       "1992        1                     laptop  0.153718   False   \n",
       "2051        2                   Pembroke  0.809197    True   \n",
       "2055        2                   Pembroke  0.809197    True   \n",
       "1033        1                 brown_bear  0.713293   False   \n",
       "1364        1                 brown_bear  0.713293   False   \n",
       "\n",
       "                                  p2   p2_conf  p2_dog  \\\n",
       "480                 golden_retriever  0.181351    True   \n",
       "1297                golden_retriever  0.181351    True   \n",
       "1641                      Pomeranian  0.120358    True   \n",
       "1864                      Pomeranian  0.120358    True   \n",
       "1691                 Tibetan_terrier  0.295690    True   \n",
       "1703                 Tibetan_terrier  0.295690    True   \n",
       "1705                         Samoyed  0.201358    True   \n",
       "1858                         Samoyed  0.201358    True   \n",
       "1715                      toy_poodle  0.271929    True   \n",
       "1718                      toy_poodle  0.271929    True   \n",
       "1716                          palace  0.020089   False   \n",
       "1717                          palace  0.020089   False   \n",
       "1738                      Pomeranian  0.193654    True   \n",
       "1746                      Pomeranian  0.193654    True   \n",
       "1740                        malamute  0.252706    True   \n",
       "1742                        malamute  0.252706    True   \n",
       "1767              Labrador_retriever  0.337053    True   \n",
       "1789              Labrador_retriever  0.337053    True   \n",
       "1785  American_Staffordshire_terrier  0.149950    True   \n",
       "1903  American_Staffordshire_terrier  0.149950    True   \n",
       "1791                       seat_belt  0.057091   False   \n",
       "2041                       seat_belt  0.057091   False   \n",
       "224                           briard  0.227716    True   \n",
       "1345                          briard  0.227716    True   \n",
       "241                 Brittany_spaniel  0.347609    True   \n",
       "1590                Brittany_spaniel  0.347609    True   \n",
       "85                Labrador_retriever  0.119256    True   \n",
       "1589              Labrador_retriever  0.119256    True   \n",
       "327                          hamster  0.227150   False   \n",
       "1591                         hamster  0.227150   False   \n",
       "...                              ...       ...     ...   \n",
       "1530                          kelpie  0.197021    True   \n",
       "1571                          kelpie  0.197021    True   \n",
       "1533                         bathtub  0.325106   False   \n",
       "1538                         bathtub  0.325106   False   \n",
       "1534                      Great_Dane  0.190503    True   \n",
       "1683                      Great_Dane  0.190503    True   \n",
       "1539                golden_retriever  0.245773    True   \n",
       "1699                golden_retriever  0.245773    True   \n",
       "1544              Labrador_retriever  0.219721    True   \n",
       "1564              Labrador_retriever  0.219721    True   \n",
       "1561                          borzoi  0.142204    True   \n",
       "1804                          borzoi  0.142204    True   \n",
       "1566                golden_retriever  0.044462    True   \n",
       "1652                golden_retriever  0.044462    True   \n",
       "1572                       harvester  0.049995   False   \n",
       "1755                       harvester  0.049995   False   \n",
       "1578              Labrador_retriever  0.140798    True   \n",
       "1579              Labrador_retriever  0.140798    True   \n",
       "1610                  Dandie_Dinmont  0.061604    True   \n",
       "1645                  Dandie_Dinmont  0.061604    True   \n",
       "1603                          kuvasz  0.025119    True   \n",
       "1727                          kuvasz  0.025119    True   \n",
       "1638                     house_finch  0.209852   False   \n",
       "1944                     house_finch  0.209852   False   \n",
       "1970                  French_bulldog  0.099984    True   \n",
       "1992                  French_bulldog  0.099984    True   \n",
       "2051             Rhodesian_ridgeback  0.054950    True   \n",
       "2055             Rhodesian_ridgeback  0.054950    True   \n",
       "1033                 Indian_elephant  0.172844   False   \n",
       "1364                 Indian_elephant  0.172844   False   \n",
       "\n",
       "                               p3   p3_conf  p3_dog  \n",
       "480              Brittany_spaniel  0.162084    True  \n",
       "1297             Brittany_spaniel  0.162084    True  \n",
       "1641                  toy_terrier  0.077008    True  \n",
       "1864                  toy_terrier  0.077008    True  \n",
       "1691                   otterhound  0.036251    True  \n",
       "1703                   otterhound  0.036251    True  \n",
       "1705                   Eskimo_dog  0.186789    True  \n",
       "1858                   Eskimo_dog  0.186789    True  \n",
       "1715              Tibetan_terrier  0.094759    True  \n",
       "1718              Tibetan_terrier  0.094759    True  \n",
       "1716                     umbrella  0.007850   False  \n",
       "1717                     umbrella  0.007850   False  \n",
       "1738                   Arctic_fox  0.071648   False  \n",
       "1746                   Arctic_fox  0.071648   False  \n",
       "1740                       kuvasz  0.157028    True  \n",
       "1742                       kuvasz  0.157028    True  \n",
       "1767                  tennis_ball  0.008554   False  \n",
       "1789                  tennis_ball  0.008554   False  \n",
       "1785     Chesapeake_Bay_retriever  0.047523    True  \n",
       "1903     Chesapeake_Bay_retriever  0.047523    True  \n",
       "1791                          pug  0.011933    True  \n",
       "2041                          pug  0.011933    True  \n",
       "224   soft-coated_wheaten_terrier  0.223263    True  \n",
       "1345  soft-coated_wheaten_terrier  0.223263    True  \n",
       "241        Welsh_springer_spaniel  0.137186    True  \n",
       "1590       Welsh_springer_spaniel  0.137186    True  \n",
       "85               golden_retriever  0.082549    True  \n",
       "1589             golden_retriever  0.082549    True  \n",
       "327                    Pomeranian  0.056057    True  \n",
       "1591                   Pomeranian  0.056057    True  \n",
       "...                           ...       ...     ...  \n",
       "1530           Norwegian_elkhound  0.151024    True  \n",
       "1571           Norwegian_elkhound  0.151024    True  \n",
       "1533             golden_retriever  0.078530    True  \n",
       "1538             golden_retriever  0.078530    True  \n",
       "1534       curly-coated_retriever  0.146427    True  \n",
       "1683       curly-coated_retriever  0.146427    True  \n",
       "1539                         chow  0.039012    True  \n",
       "1699                         chow  0.039012    True  \n",
       "1544                       kuvasz  0.015965    True  \n",
       "1564                       kuvasz  0.015965    True  \n",
       "1561                      doormat  0.109677   False  \n",
       "1804                      doormat  0.109677   False  \n",
       "1566    Staffordshire_bullterrier  0.016497    True  \n",
       "1652    Staffordshire_bullterrier  0.016497    True  \n",
       "1572                        swing  0.044660   False  \n",
       "1755                        swing  0.044660   False  \n",
       "1578                    seat_belt  0.087355   False  \n",
       "1579                    seat_belt  0.087355   False  \n",
       "1610               English_setter  0.041331    True  \n",
       "1645               English_setter  0.041331    True  \n",
       "1603           Labrador_retriever  0.022977    True  \n",
       "1727           Labrador_retriever  0.022977    True  \n",
       "1638               cocker_spaniel  0.046403    True  \n",
       "1944               cocker_spaniel  0.046403    True  \n",
       "1970                      printer  0.077130   False  \n",
       "1992                      printer  0.077130   False  \n",
       "2051                       beagle  0.038915    True  \n",
       "2055                       beagle  0.038915    True  \n",
       "1033                water_buffalo  0.038902   False  \n",
       "1364                water_buffalo  0.038902   False  \n",
       "\n",
       "[132 rows x 12 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.concat(g for _, g in image_prediction.groupby(\"jpg_url\") if len(g) > 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True     1532\n",
      "False     543\n",
      "Name: p1_dog, dtype: int64\n",
      "True     1553\n",
      "False     522\n",
      "Name: p2_dog, dtype: int64\n",
      "True     1499\n",
      "False     576\n",
      "Name: p3_dog, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(image_prediction.p1_dog.value_counts())\n",
    "print(image_prediction.p2_dog.value_counts())\n",
    "print(image_prediction.p3_dog.value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    1780\n",
       "2     198\n",
       "3      66\n",
       "4      31\n",
       "Name: img_num, dtype: int64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_prediction.img_num.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>681610798867845120</td>\n",
       "      <td>2047</td>\n",
       "      <td>518</td>\n",
       "      <td>6829217</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/C7M8mnzHIK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>42221</td>\n",
       "      <td>8713</td>\n",
       "      <td>6829008</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/tD36da7qLQ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1551</th>\n",
       "      <td>688211956440801280</td>\n",
       "      <td>2381</td>\n",
       "      <td>919</td>\n",
       "      <td>6827655</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/o4Nfc8WoAO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>578</th>\n",
       "      <td>799422933579902976</td>\n",
       "      <td>8800</td>\n",
       "      <td>2157</td>\n",
       "      <td>6829029</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/cWlAEOZefY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>887</th>\n",
       "      <td>758854675097526272</td>\n",
       "      <td>3841</td>\n",
       "      <td>993</td>\n",
       "      <td>6829041</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/4UrfOZhztW</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>800513324630806528</td>\n",
       "      <td>14392</td>\n",
       "      <td>3397</td>\n",
       "      <td>6829029</td>\n",
       "      <td>103</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/ILHGs0e6Dm</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id  favorite_count  retweet_count  followers_count  \\\n",
       "241   845677943972139009           26622           5210          6829016   \n",
       "502   811985624773361665            7944           1587          6829027   \n",
       "626   793500921481273345           11715           2694          6829029   \n",
       "1495  691756958957883396            3101           1125          6829194   \n",
       "1674  681610798867845120            2047            518          6829217   \n",
       "3     891689557279858688           42221           8713          6829008   \n",
       "1551  688211956440801280            2381            919          6827655   \n",
       "578   799422933579902976            8800           2157          6829029   \n",
       "887   758854675097526272            3841            993          6829041   \n",
       "569   800513324630806528           14392           3397          6829029   \n",
       "\n",
       "      friends_count              source retweeted_status  \\\n",
       "241             103  Twitter for iPhone   Original tweet   \n",
       "502             103  Twitter for iPhone   Original tweet   \n",
       "626             103  Twitter for iPhone   Original tweet   \n",
       "1495            103  Twitter for iPhone   Original tweet   \n",
       "1674            103  Twitter for iPhone   Original tweet   \n",
       "3               103  Twitter for iPhone   Original tweet   \n",
       "1551            103  Twitter for iPhone   Original tweet   \n",
       "578             103  Twitter for iPhone   Original tweet   \n",
       "887             103  Twitter for iPhone   Original tweet   \n",
       "569             103  Twitter for iPhone   Original tweet   \n",
       "\n",
       "                          url  \n",
       "241   https://t.co/R6xQ5n19T3  \n",
       "502   https://t.co/sIB5C6FDop  \n",
       "626   https://t.co/aF5MmpvPqN  \n",
       "1495  https://t.co/frGWV7IP6J  \n",
       "1674  https://t.co/C7M8mnzHIK  \n",
       "3     https://t.co/tD36da7qLQ  \n",
       "1551  https://t.co/o4Nfc8WoAO  \n",
       "578   https://t.co/cWlAEOZefY  \n",
       "887   https://t.co/4UrfOZhztW  \n",
       "569   https://t.co/ILHGs0e6Dm  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweet_json.sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2344 entries, 0 to 2343\n",
      "Data columns (total 8 columns):\n",
      "tweet_id            2344 non-null object\n",
      "favorite_count      2344 non-null int64\n",
      "retweet_count       2344 non-null int64\n",
      "followers_count     2344 non-null int64\n",
      "friends_count       2344 non-null int64\n",
      "source              2344 non-null object\n",
      "retweeted_status    2344 non-null object\n",
      "url                 2344 non-null object\n",
      "dtypes: int64(4), object(4)\n",
      "memory usage: 146.6+ KB\n"
     ]
    }
   ],
   "source": [
    "tweet_json.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Original tweet       2174\n",
       "This is a retweet     170\n",
       "Name: retweeted_status, dtype: int64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweet_json.retweeted_status.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Twitter for iPhone     2209\n",
       "Vine - Make a Scene      91\n",
       "Twitter Web Client       33\n",
       "TweetDeck                11\n",
       "Name: source, dtype: int64"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweet_json.source.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='quality'></a>\n",
    "### Quality\n",
    "\n",
    "*Completeness, validity, accuracy, consistency (content issues)*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### *twitter_archive*\n",
    "1. Keep original ratings (no retweets) that have images\n",
    "- Delete columns that won't be used for analysis\n",
    "- Erroneous datatypes (doggo, floofer, pupper and puppo columns)\n",
    "- Separate timestamp into day - month - year (3 columns)\n",
    "- Correct numerators with decimals\n",
    "- Correc denominators other than 10: \n",
    "    \n",
    "    a. Manually (few examples assessed by individual print text).\n",
    "    \n",
    "    b. Programatically (Tweets with denominator not equal to 10 are usually multiple dogs). \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### *image_prediction*\n",
    "6. Drop 66 jpg_url duplicated\n",
    "7. Create 1 column for image prediction and 1 column for confidence level\n",
    "8. Delete columns that won't be used for analysis "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### *tweet_json*\n",
    "1. Keep original tweets only\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='tidiness'></a>\n",
    "### Tidiness \n",
    "\n",
    "1. Change tweet_id to type int64 in order to merge with the other 2 tables\n",
    "- All tables should be part of one dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='clean'></a>\n",
    "## Cleaning Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'tweet_json' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-10-7671d6957d0b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mtwitter_archive_clean\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtwitter_archive\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mimage_prediction_clean\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mimage_prediction\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mtweet_json_clean\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtweet_json\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'tweet_json' is not defined"
     ]
    }
   ],
   "source": [
    "twitter_archive_clean = twitter_archive.copy()\n",
    "image_prediction_clean = image_prediction.copy()\n",
    "tweet_json_clean = tweet_json.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**1. Twitter archive** - keep original ratings (no retweets) that have images. \n",
    "\n",
    "Based on info, there are 181 values in retweeted_status_id and retweeted_status_user_id. Delete the retweets. Once I merge twitter_archive and image_prediction, I will only keep the ones with images."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    }
   ],
   "source": [
    "#CODE: Delete retweets by filtering the NaN of retweeted_status_user_id\n",
    "twitter_archive_clean = twitter_archive_clean[pd.isnull(twitter_archive_clean['retweeted_status_user_id'])]\n",
    "\n",
    "#TEST\n",
    "print(sum(twitter_archive_clean.retweeted_status_user_id.value_counts()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**2. Twitter archive** - Delete columns that won't be used for analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['tweet_id', 'in_reply_to_status_id', 'in_reply_to_user_id', 'timestamp', 'source', 'text', 'retweeted_status_id', 'retweeted_status_user_id', 'retweeted_status_timestamp', 'expanded_urls', 'rating_numerator', 'rating_denominator', 'name', 'doggo', 'floofer', 'pupper', 'puppo']\n"
     ]
    }
   ],
   "source": [
    "#get the column names of twitter_archive_clean\n",
    "print(list(twitter_archive_clean))\n",
    "\n",
    "#CODE: Delete columns no needed\n",
    "twitter_archive_clean = twitter_archive_clean.drop(['source',\n",
    "                                                    'in_reply_to_status_id',\n",
    "                                                    'in_reply_to_user_id',\n",
    "                                                    'retweeted_status_id',\n",
    "                                                    'retweeted_status_user_id', \n",
    "                                                    'retweeted_status_timestamp', \n",
    "                                                    'expanded_urls'], 1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['tweet_id',\n",
       " 'timestamp',\n",
       " 'text',\n",
       " 'rating_numerator',\n",
       " 'rating_denominator',\n",
       " 'name',\n",
       " 'doggo',\n",
       " 'floofer',\n",
       " 'pupper',\n",
       " 'puppo']"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#TEST\n",
    "list(twitter_archive_clean)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**3. Twitter_archive** - Erroneous datatypes (doggo, floofer, pupper and puppo columns)\n",
    "\n",
    "Melt the doggo, floofer, pupper and puppo columns to *dogs* and *dogs_stage* column. Then drop *dogs*. Sort by *dogs_stage* in order to then drop duplicated based on tweet_id except for the last occurrence."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "#CODE: Melt the doggo, floofer, pupper and puppo columns to dogs and dogs_stage column\n",
    "twitter_archive_clean = pd.melt(twitter_archive_clean, id_vars=['tweet_id',                                          \n",
    "                                                                'timestamp',\n",
    "                                                                'text',\n",
    "                                                                'rating_numerator',\n",
    "                                                                'rating_denominator',\n",
    "                                                                'name'],\n",
    "                               var_name='dogs', value_name='dogs_stage')\n",
    "\n",
    "#CODE: drop dogs\n",
    "twitter_archive_clean = twitter_archive_clean.drop('dogs', 1)\n",
    "\n",
    "#CODE: Sort by dogs_stage then drop duplicated based on tweet_id except the last occurrence\n",
    "twitter_archive_clean = twitter_archive_clean.sort_values('dogs_stage').drop_duplicates(subset='tweet_id', \n",
    "                                                                                        keep='last')\n",
    "                            "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "None       1831\n",
       "pupper      234\n",
       "doggo        75\n",
       "puppo        25\n",
       "floofer      10\n",
       "Name: dogs_stage, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#TEST\n",
    "twitter_archive_clean['dogs_stage'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**4. Twitter_archive** - Separate timestamp into day - month - year (3 columns)\n",
    "\n",
    "First convert *timestamp* to datetime. Then extract year, month and day to new columns. Finally drop *timestamp* column. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "#CODE: convert timestamp to datetime\n",
    "twitter_archive_clean['timestamp'] = pd.to_datetime(twitter_archive_clean['timestamp'])\n",
    "\n",
    "#extract year, month and day to new columns\n",
    "twitter_archive_clean['year'] = twitter_archive_clean['timestamp'].dt.year\n",
    "twitter_archive_clean['month'] = twitter_archive_clean['timestamp'].dt.month\n",
    "twitter_archive_clean['day'] = twitter_archive_clean['timestamp'].dt.day\n",
    "\n",
    "#Finally drop timestamp column\n",
    "twitter_archive_clean = twitter_archive_clean.drop('timestamp', 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['tweet_id',\n",
       " 'text',\n",
       " 'rating_numerator',\n",
       " 'rating_denominator',\n",
       " 'name',\n",
       " 'dogs_stage',\n",
       " 'year',\n",
       " 'month',\n",
       " 'day']"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#TEST\n",
    "list(twitter_archive_clean)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**5. Twitter_archive** - Correc numerators"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 268,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 2175 entries, 2095 to 7298\n",
      "Data columns (total 9 columns):\n",
      "tweet_id              2175 non-null int64\n",
      "text                  2175 non-null object\n",
      "rating_numerator      2175 non-null float64\n",
      "rating_denominator    2175 non-null float64\n",
      "name                  2175 non-null object\n",
      "dogs_stage            2175 non-null object\n",
      "year                  2175 non-null int64\n",
      "month                 2175 non-null int64\n",
      "day                   2175 non-null int64\n",
      "dtypes: float64(2), int64(4), object(3)\n",
      "memory usage: 169.9+ KB\n"
     ]
    }
   ],
   "source": [
    "\n",
    "twitter_archive_clean[['rating_numerator', 'rating_denominator']] = twitter_archive_clean[['rating_numerator','rating_denominator']].astype(float)\n",
    "\n",
    "twitter_archive_clean.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.6/site-packages/ipykernel/__main__.py:16: UserWarning: This pattern has match groups. To actually get the groups, use str.extract.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>text</th>\n",
       "      <th>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>883482846933004288</td>\n",
       "      <td>This is Bella. She hopes her smile made you smile. If not, she is also offering you her favorite monkey. 13.5/10 https://t.co/qjrljjt948</td>\n",
       "      <td>13.50</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3685</th>\n",
       "      <td>681340665377193984</td>\n",
       "      <td>I've been told there's a slight possibility he's checking his mirror. We'll bump to 9.5/10. Still a menace</td>\n",
       "      <td>9.50</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3708</th>\n",
       "      <td>680494726643068929</td>\n",
       "      <td>Here we have uncovered an entire battalion of holiday puppers. Average of 11.26/10 https://t.co/eNm2S6p9BD</td>\n",
       "      <td>11.26</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2733</th>\n",
       "      <td>786709082849828864</td>\n",
       "      <td>This is Logan, the Chow who lived. He solemnly swears he's up to lots of good. H*ckin magical af 9.75/10 https://t.co/yBO5wuqaPS</td>\n",
       "      <td>9.75</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4967</th>\n",
       "      <td>778027034220126208</td>\n",
       "      <td>This is Sophie. She's a Jubilant Bush Pupper. Super h*ckin rare. Appears at random just to smile at the locals. 11.27/10 would smile back https://t.co/QFaUiIHxHq</td>\n",
       "      <td>11.27</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id  \\\n",
       "42    883482846933004288   \n",
       "3685  681340665377193984   \n",
       "3708  680494726643068929   \n",
       "2733  786709082849828864   \n",
       "4967  778027034220126208   \n",
       "\n",
       "                                                                                                                                                                   text  \\\n",
       "42                             This is Bella. She hopes her smile made you smile. If not, she is also offering you her favorite monkey. 13.5/10 https://t.co/qjrljjt948   \n",
       "3685                                                         I've been told there's a slight possibility he's checking his mirror. We'll bump to 9.5/10. Still a menace   \n",
       "3708                                                         Here we have uncovered an entire battalion of holiday puppers. Average of 11.26/10 https://t.co/eNm2S6p9BD   \n",
       "2733                                   This is Logan, the Chow who lived. He solemnly swears he's up to lots of good. H*ckin magical af 9.75/10 https://t.co/yBO5wuqaPS   \n",
       "4967  This is Sophie. She's a Jubilant Bush Pupper. Super h*ckin rare. Appears at random just to smile at the locals. 11.27/10 would smile back https://t.co/QFaUiIHxHq   \n",
       "\n",
       "      rating_numerator  rating_denominator  \n",
       "42               13.50                10.0  \n",
       "3685              9.50                10.0  \n",
       "3708             11.26                10.0  \n",
       "2733              9.75                10.0  \n",
       "4967             11.27                10.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#CODE\n",
    "\n",
    "#First change numerator and denominators type int to float to allow decimals \n",
    "twitter_archive_clean[['rating_numerator', 'rating_denominator']] = twitter_archive_clean[['rating_numerator','rating_denominator']].astype(float)\n",
    "\n",
    "#Update numerators\n",
    "\n",
    "twitter_archive_clean.loc[(twitter_archive_clean.tweet_id == 883482846933004288), 'rating_numerator'] = 13.5\n",
    "twitter_archive_clean.loc[(twitter_archive_clean.tweet_id == 786709082849828864), 'rating_numerator'] = 9.75\n",
    "twitter_archive_clean.loc[(twitter_archive_clean.tweet_id == 778027034220126208), 'rating_numerator'] = 11.27\n",
    "twitter_archive_clean.loc[(twitter_archive_clean.tweet_id == 681340665377193984), 'rating_numerator'] = 9.5\n",
    "twitter_archive_clean.loc[(twitter_archive_clean.tweet_id == 680494726643068929), 'rating_numerator'] = 11.26\n",
    "\n",
    "#TEST\n",
    "with pd.option_context('max_colwidth', 200):\n",
    "    display(twitter_archive_clean[twitter_archive_clean['text'].str.contains(r\"(\\d+\\.\\d*\\/\\d+)\")]\n",
    "            [['tweet_id', 'text', 'rating_numerator', 'rating_denominator']])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**6. Twitter_archive** - Correc denominators\n",
    "\n",
    "#### *a. Manually*\n",
    "Five tweets with denominator not equal to 10 for special circunstances. Update both numerators and denominators when necessary. Delete other five tweets because they do not have actual ratings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>text</th>\n",
       "      <th>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3429</th>\n",
       "      <td>697463031882764288</td>\n",
       "      <td>Happy Wednesday here's a bucket of pups. 44/40 would pet all at once https://t.co/HppvrYuamZ</td>\n",
       "      <td>44.0</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3631</th>\n",
       "      <td>684222868335505415</td>\n",
       "      <td>Someone help the girl is being mugged. Several are distracting her while two steal her shoes. Clever puppers 121/110 https://t.co/1zfnTJLt55</td>\n",
       "      <td>121.0</td>\n",
       "      <td>110.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3630</th>\n",
       "      <td>684225744407494656</td>\n",
       "      <td>Two sneaky puppers were not initially seen, moving the rating to 143/130. Please forgive us. Thank you https://t.co/kRK51Y5ac3</td>\n",
       "      <td>143.0</td>\n",
       "      <td>130.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3250</th>\n",
       "      <td>710658690886586372</td>\n",
       "      <td>Here's a brigade of puppers. All look very prepared for whatever happens next. 80/80 https://t.co/0eb7R1Om12</td>\n",
       "      <td>80.0</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3225</th>\n",
       "      <td>713900603437621249</td>\n",
       "      <td>Happy Saturday here's 9 puppers on a bench. 99/90 good work everybody https://t.co/mpvaVxKmc1</td>\n",
       "      <td>99.0</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3270</th>\n",
       "      <td>709198395643068416</td>\n",
       "      <td>From left to right:\\nCletus, Jerome, Alejandro, Burp, &amp;amp; Titson\\nNone know where camera is. 45/50 would hug all at once https://t.co/sedre1ivTK</td>\n",
       "      <td>45.0</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3347</th>\n",
       "      <td>704054845121142784</td>\n",
       "      <td>Here is a whole flock of puppers.  60/50 I'll take the lot https://t.co/9dpcw6MdWa</td>\n",
       "      <td>60.0</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3775</th>\n",
       "      <td>677716515794329600</td>\n",
       "      <td>IT'S PUPPERGEDDON. Total of 144/120 ...I think https://t.co/ZanVtAtvIq</td>\n",
       "      <td>144.0</td>\n",
       "      <td>120.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3839</th>\n",
       "      <td>675853064436391936</td>\n",
       "      <td>Here we have an entire platoon of puppers. Total score: 88/80 would pet all at once https://t.co/y93p6FLvVw</td>\n",
       "      <td>88.0</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2538</th>\n",
       "      <td>820690176645140481</td>\n",
       "      <td>The floofs have been released I repeat the floofs have been released. 84/70 https://t.co/NIYC820tmd</td>\n",
       "      <td>84.0</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2908</th>\n",
       "      <td>758467244762497024</td>\n",
       "      <td>Why does this never happen at my front door... 165/150 https://t.co/HmwrdfEfUE</td>\n",
       "      <td>165.0</td>\n",
       "      <td>150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3117</th>\n",
       "      <td>731156023742988288</td>\n",
       "      <td>Say hello to this unbelievably well behaved squad of doggos. 204/170 would try to pet all at once https://t.co/yGQI3He3xv</td>\n",
       "      <td>204.0</td>\n",
       "      <td>170.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id  \\\n",
       "3429  697463031882764288   \n",
       "3631  684222868335505415   \n",
       "3630  684225744407494656   \n",
       "3250  710658690886586372   \n",
       "3225  713900603437621249   \n",
       "3270  709198395643068416   \n",
       "3347  704054845121142784   \n",
       "3775  677716515794329600   \n",
       "3839  675853064436391936   \n",
       "2538  820690176645140481   \n",
       "2908  758467244762497024   \n",
       "3117  731156023742988288   \n",
       "\n",
       "                                                                                                                                                    text  \\\n",
       "3429                                                        Happy Wednesday here's a bucket of pups. 44/40 would pet all at once https://t.co/HppvrYuamZ   \n",
       "3631        Someone help the girl is being mugged. Several are distracting her while two steal her shoes. Clever puppers 121/110 https://t.co/1zfnTJLt55   \n",
       "3630                      Two sneaky puppers were not initially seen, moving the rating to 143/130. Please forgive us. Thank you https://t.co/kRK51Y5ac3   \n",
       "3250                                        Here's a brigade of puppers. All look very prepared for whatever happens next. 80/80 https://t.co/0eb7R1Om12   \n",
       "3225                                                       Happy Saturday here's 9 puppers on a bench. 99/90 good work everybody https://t.co/mpvaVxKmc1   \n",
       "3270  From left to right:\\nCletus, Jerome, Alejandro, Burp, &amp; Titson\\nNone know where camera is. 45/50 would hug all at once https://t.co/sedre1ivTK   \n",
       "3347                                                                  Here is a whole flock of puppers.  60/50 I'll take the lot https://t.co/9dpcw6MdWa   \n",
       "3775                                                                              IT'S PUPPERGEDDON. Total of 144/120 ...I think https://t.co/ZanVtAtvIq   \n",
       "3839                                         Here we have an entire platoon of puppers. Total score: 88/80 would pet all at once https://t.co/y93p6FLvVw   \n",
       "2538                                                 The floofs have been released I repeat the floofs have been released. 84/70 https://t.co/NIYC820tmd   \n",
       "2908                                                                      Why does this never happen at my front door... 165/150 https://t.co/HmwrdfEfUE   \n",
       "3117                           Say hello to this unbelievably well behaved squad of doggos. 204/170 would try to pet all at once https://t.co/yGQI3He3xv   \n",
       "\n",
       "      rating_numerator  rating_denominator  \n",
       "3429              44.0                40.0  \n",
       "3631             121.0               110.0  \n",
       "3630             143.0               130.0  \n",
       "3250              80.0                80.0  \n",
       "3225              99.0                90.0  \n",
       "3270              45.0                50.0  \n",
       "3347              60.0                50.0  \n",
       "3775             144.0               120.0  \n",
       "3839              88.0                80.0  \n",
       "2538              84.0                70.0  \n",
       "2908             165.0               150.0  \n",
       "3117             204.0               170.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#CODE: Update both numerators and denominators\n",
    "twitter_archive_clean.loc[(twitter_archive_clean.tweet_id == 740373189193256964), 'rating_numerator'] = 14\n",
    "twitter_archive_clean.loc[(twitter_archive_clean.tweet_id == 740373189193256964), 'rating_denominator'] = 10\n",
    "\n",
    "twitter_archive_clean.loc[(twitter_archive_clean.tweet_id == 682962037429899265), 'rating_numerator'] = 10\n",
    "twitter_archive_clean.loc[(twitter_archive_clean.tweet_id == 682962037429899265), 'rating_denominator'] = 10\n",
    "\n",
    "twitter_archive_clean.loc[(twitter_archive_clean.tweet_id == 666287406224695296), 'rating_numerator'] = 9\n",
    "twitter_archive_clean.loc[(twitter_archive_clean.tweet_id == 666287406224695296), 'rating_denominator'] = 10\n",
    "\n",
    "twitter_archive_clean.loc[(twitter_archive_clean.tweet_id == 722974582966214656), 'rating_numerator'] = 13\n",
    "twitter_archive_clean.loc[(twitter_archive_clean.tweet_id == 722974582966214656), 'rating_denominator'] = 10\n",
    "\n",
    "twitter_archive_clean.loc[(twitter_archive_clean.tweet_id == 716439118184652801), 'rating_numerator'] = 13.5\n",
    "twitter_archive_clean.loc[(twitter_archive_clean.tweet_id == 716439118184652801), 'rating_denominator'] = 10\n",
    "\n",
    "#CODE: Delete five tweets with no actual ratings\n",
    "twitter_archive_clean = twitter_archive_clean[twitter_archive_clean['tweet_id'] != 832088576586297345]\n",
    "twitter_archive_clean = twitter_archive_clean[twitter_archive_clean['tweet_id'] != 810984652412424192]\n",
    "twitter_archive_clean = twitter_archive_clean[twitter_archive_clean['tweet_id'] != 682808988178739200]\n",
    "twitter_archive_clean = twitter_archive_clean[twitter_archive_clean['tweet_id'] != 835246439529840640]\n",
    "twitter_archive_clean = twitter_archive_clean[twitter_archive_clean['tweet_id'] != 686035780142297088]\n",
    "\n",
    "#TEST: Left only the group dogs for programatically clean\n",
    "with pd.option_context('max_colwidth', 200):\n",
    "    display(twitter_archive_clean[twitter_archive_clean['rating_denominator'] != 10][['tweet_id',\n",
    "                                                                                      'text',\n",
    "                                                                                      'rating_numerator',\n",
    "                                                                                      'rating_denominator']])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### *b. Programatically* \n",
    "These tweets with denominator not equal to 10 are multiple dogs. For example, tweet_id 713900603437621000 has numerator and denominators 99/90 because there are 9 dogs in the picture https://t.co/mpvaVxKmc1.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 271,
   "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>text</th>\n",
       "      <th>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "      <th>name</th>\n",
       "      <th>dogs_stage</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4817</th>\n",
       "      <td>802265048156610565</td>\n",
       "      <td>Like doggo, like pupper version 2. Both 11/10 ...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>2016</td>\n",
       "      <td>11</td>\n",
       "      <td>25</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2052</th>\n",
       "      <td>668226093875376128</td>\n",
       "      <td>Sneaky dog here. Tuba player has no clue. 10/1...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>2015</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4810</th>\n",
       "      <td>803638050916102144</td>\n",
       "      <td>Pupper hath acquire enemy. 13/10 https://t.co/...</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>2016</td>\n",
       "      <td>11</td>\n",
       "      <td>29</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2307</th>\n",
       "      <td>863062471531167744</td>\n",
       "      <td>Say hello to Quinn. She's quite the goofball. ...</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Quinn</td>\n",
       "      <td>None</td>\n",
       "      <td>2017</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2932</th>\n",
       "      <td>754482103782404096</td>\n",
       "      <td>This is Milo. He's currently plotting his reve...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Milo</td>\n",
       "      <td>None</td>\n",
       "      <td>2016</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id                                               text  \\\n",
       "4817  802265048156610565  Like doggo, like pupper version 2. Both 11/10 ...   \n",
       "2052  668226093875376128  Sneaky dog here. Tuba player has no clue. 10/1...   \n",
       "4810  803638050916102144  Pupper hath acquire enemy. 13/10 https://t.co/...   \n",
       "2307  863062471531167744  Say hello to Quinn. She's quite the goofball. ...   \n",
       "2932  754482103782404096  This is Milo. He's currently plotting his reve...   \n",
       "\n",
       "      rating_numerator  rating_denominator   name dogs_stage  year  month  \\\n",
       "4817              11.0                10.0   None     pupper  2016     11   \n",
       "2052              10.0                10.0   None       None  2015     11   \n",
       "4810              13.0                10.0   None     pupper  2016     11   \n",
       "2307              13.0                10.0  Quinn       None  2017      5   \n",
       "2932              10.0                10.0   Milo       None  2016      7   \n",
       "\n",
       "      day  rating  \n",
       "4817   25    11.0  \n",
       "2052   22    10.0  \n",
       "4810   29    13.0  \n",
       "2307   12    13.0  \n",
       "2932   17    10.0  "
      ]
     },
     "execution_count": 271,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#CODE: Create a new column with rating in float type to avoid converting all int column to float\n",
    "twitter_archive_clean['rating'] = 10 * twitter_archive_clean['rating_numerator'] / twitter_archive_clean['rating_denominator'].astype(float)\n",
    "\n",
    "#TEST\n",
    "twitter_archive_clean.sample(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**7. Image_prediction** - Drop 66 jpg_url duplicated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 272,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 272,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#CODE: Delete duplicated jpg_url\n",
    "image_prediction_clean = image_prediction_clean.drop_duplicates(subset=['jpg_url'], keep='last')\n",
    "\n",
    "#TEST\n",
    "sum(image_prediction_clean['jpg_url'].duplicated())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** 8. Image_prediction** - Create 1 column for image prediction and 1 column for confidence level\n",
    "\n",
    "Create a function where I keep the first true prediction along the confidence level as new columns. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 273,
   "metadata": {},
   "outputs": [],
   "source": [
    "#CODE: the first true prediction (p1, p2 or p3) will be store in these lists\n",
    "dog_type = []\n",
    "confidence_list = []\n",
    "\n",
    "#create a function with nested if to capture the dog type and confidence level\n",
    "# from the first 'true' prediction\n",
    "def image(image_prediction_clean):\n",
    "    if image_prediction_clean['p1_dog'] == True:\n",
    "        dog_type.append(image_prediction_clean['p1'])\n",
    "        confidence_list.append(image_prediction_clean['p1_conf'])\n",
    "    elif image_prediction_clean['p2_dog'] == True:\n",
    "        dog_type.append(image_prediction_clean['p2'])\n",
    "        confidence_list.append(image_prediction_clean['p2_conf'])\n",
    "    elif image_prediction_clean['p3_dog'] == True:\n",
    "        dog_type.append(image_prediction_clean['p3'])\n",
    "        confidence_list.append(image_prediction_clean['p3_conf'])\n",
    "    else:\n",
    "        dog_type.append('Error')\n",
    "        confidence_list.append('Error')\n",
    "\n",
    "#series objects having index the image_prediction_clean column.        \n",
    "image_prediction_clean.apply(image, axis=1)\n",
    "\n",
    "#create new columns\n",
    "image_prediction_clean['dog_type'] = dog_type\n",
    "image_prediction_clean['confidence_list'] = confidence_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1691 entries, 0 to 2073\n",
      "Data columns (total 14 columns):\n",
      "tweet_id           1691 non-null int64\n",
      "jpg_url            1691 non-null object\n",
      "img_num            1691 non-null int64\n",
      "p1                 1691 non-null object\n",
      "p1_conf            1691 non-null float64\n",
      "p1_dog             1691 non-null bool\n",
      "p2                 1691 non-null object\n",
      "p2_conf            1691 non-null float64\n",
      "p2_dog             1691 non-null bool\n",
      "p3                 1691 non-null object\n",
      "p3_conf            1691 non-null float64\n",
      "p3_dog             1691 non-null bool\n",
      "dog_type           1691 non-null object\n",
      "confidence_list    1691 non-null object\n",
      "dtypes: bool(3), float64(3), int64(2), object(6)\n",
      "memory usage: 163.5+ KB\n"
     ]
    }
   ],
   "source": [
    "#drop rows that has prediction_list 'error'\n",
    "image_prediction_clean = image_prediction_clean[image_prediction_clean['dog_type'] != 'Error']\n",
    "\n",
    "#TEST: \n",
    "image_prediction_clean.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**9. Image_prediction** - Delete columns that won't be used for analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['tweet_id', 'jpg_url', 'img_num', 'p1', 'p1_conf', 'p1_dog', 'p2', 'p2_conf', 'p2_dog', 'p3', 'p3_conf', 'p3_dog', 'dog_type', 'confidence_list']\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['tweet_id', 'jpg_url', 'dog_type', 'confidence_list']"
      ]
     },
     "execution_count": 275,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#CODE: print list of image_prediction columns\n",
    "print(list(image_prediction_clean))\n",
    "\n",
    "#Delete columns\n",
    "image_prediction_clean = image_prediction_clean.drop(['img_num', 'p1', \n",
    "                                                      'p1_conf', 'p1_dog', \n",
    "                                                      'p2', 'p2_conf', \n",
    "                                                      'p2_dog', 'p3', \n",
    "                                                      'p3_conf', \n",
    "                                                      'p3_dog'], 1)\n",
    "\n",
    "#TEST\n",
    "list(image_prediction_clean)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**10. Tweet_json** - keep 2174 original tweets "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Original tweet    2174\n",
       "Name: retweeted_status, dtype: int64"
      ]
     },
     "execution_count": 276,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#CODE:\n",
    "tweet_json_clean = tweet_json_clean[tweet_json_clean['retweeted_status'] == 'Original tweet']\n",
    "\n",
    "#TEST\n",
    "tweet_json_clean['retweeted_status'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**11. Tidiness** - Change tweet_id to type int64 in order to merge with the other 2 tables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('int64')"
      ]
     },
     "execution_count": 277,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#CODE: change tweet_id from str to int\n",
    "tweet_json_clean['tweet_id'] = tweet_json_clean['tweet_id'].astype(int)\n",
    "\n",
    "#TEST\n",
    "tweet_json_clean['tweet_id'].dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**12. Tidiness** - All tables should be part of one dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 278,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1625 entries, 1 to 2169\n",
      "Data columns (total 13 columns):\n",
      "tweet_id              1625 non-null int64\n",
      "text                  1625 non-null object\n",
      "rating_numerator      1625 non-null float64\n",
      "rating_denominator    1625 non-null float64\n",
      "name                  1625 non-null object\n",
      "dogs_stage            1625 non-null object\n",
      "year                  1625 non-null int64\n",
      "month                 1625 non-null int64\n",
      "day                   1625 non-null int64\n",
      "rating                1625 non-null float64\n",
      "jpg_url               1625 non-null object\n",
      "dog_type              1625 non-null object\n",
      "confidence_list       1625 non-null object\n",
      "dtypes: float64(3), int64(4), object(6)\n",
      "memory usage: 177.7+ KB\n"
     ]
    }
   ],
   "source": [
    "#CODE: create a new dataframe that merge twitter_archive_clean and \n",
    "#image_prediction_clean\n",
    "df_twitter1 = pd.merge(twitter_archive_clean, \n",
    "                      image_prediction_clean, \n",
    "                      how = 'left', on = ['tweet_id'])\n",
    "\n",
    "#keep rows that have picture (jpg_url)\n",
    "df_twitter1 = df_twitter1[df_twitter1['jpg_url'].notnull()]\n",
    "\n",
    "#TEST\n",
    "df_twitter1.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 279,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1625 entries, 0 to 1624\n",
      "Data columns (total 20 columns):\n",
      "tweet_id              1625 non-null int64\n",
      "text                  1625 non-null object\n",
      "rating_numerator      1625 non-null float64\n",
      "rating_denominator    1625 non-null float64\n",
      "name                  1625 non-null object\n",
      "dogs_stage            1625 non-null object\n",
      "year                  1625 non-null int64\n",
      "month                 1625 non-null int64\n",
      "day                   1625 non-null int64\n",
      "rating                1625 non-null float64\n",
      "jpg_url               1625 non-null object\n",
      "dog_type              1625 non-null object\n",
      "confidence_list       1625 non-null object\n",
      "favorite_count        1624 non-null float64\n",
      "retweet_count         1624 non-null float64\n",
      "followers_count       1624 non-null float64\n",
      "friends_count         1624 non-null float64\n",
      "source                1624 non-null object\n",
      "retweeted_status      1624 non-null object\n",
      "url                   1624 non-null object\n",
      "dtypes: float64(7), int64(4), object(9)\n",
      "memory usage: 266.6+ KB\n"
     ]
    }
   ],
   "source": [
    "#CODE: create a new dataframe that merge df_twitter and tweet_json_clean\n",
    "df_twitter = pd.merge(df_twitter1, tweet_json_clean, \n",
    "                      how = 'left', on = ['tweet_id'])\n",
    "\n",
    "#TEST\n",
    "df_twitter.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 280,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12.00     404\n",
       "10.00     354\n",
       "11.00     342\n",
       "13.00     212\n",
       "9.00      133\n",
       "8.00       68\n",
       "7.00       31\n",
       "14.00      22\n",
       "6.00       16\n",
       "5.00       13\n",
       "4.00        6\n",
       "3.00        5\n",
       "2.00        2\n",
       "13.50       2\n",
       "44.00       1\n",
       "143.00      1\n",
       "99.00       1\n",
       "45.00       1\n",
       "60.00       1\n",
       "144.00      1\n",
       "88.00       1\n",
       "84.00       1\n",
       "9.75        1\n",
       "0.00        1\n",
       "11.26       1\n",
       "165.00      1\n",
       "11.27       1\n",
       "121.00      1\n",
       "80.00       1\n",
       "Name: rating_numerator, dtype: int64"
      ]
     },
     "execution_count": 280,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_twitter['rating_numerator'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='storing'></a>\n",
    "## Storing, Analyzing, and Visualizing Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 281,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Store the clean DataFrame in a CSV file\n",
    "df_twitter.to_csv('twitter_archive_master.csv', \n",
    "                 index=False, encoding = 'utf-8')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='one'></a>\n",
    "### Insight one & visualization\n",
    "\n",
    "Golden retriever is the most common dog in this dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 282,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "golden_retriever                  142\n",
       "Labrador_retriever                103\n",
       "Pembroke                           94\n",
       "Chihuahua                          87\n",
       "pug                                60\n",
       "toy_poodle                         50\n",
       "chow                               45\n",
       "Pomeranian                         42\n",
       "Samoyed                            38\n",
       "malamute                           32\n",
       "Chesapeake_Bay_retriever           31\n",
       "French_bulldog                     30\n",
       "cocker_spaniel                     26\n",
       "miniature_pinscher                 24\n",
       "Eskimo_dog                         22\n",
       "German_shepherd                    21\n",
       "Siberian_husky                     20\n",
       "Shih-Tzu                           20\n",
       "Staffordshire_bullterrier          20\n",
       "Cardigan                           19\n",
       "beagle                             19\n",
       "Shetland_sheepdog                  19\n",
       "Maltese_dog                        19\n",
       "Rottweiler                         19\n",
       "kuvasz                             18\n",
       "basset                             17\n",
       "Italian_greyhound                  17\n",
       "Lakeland_terrier                   17\n",
       "West_Highland_white_terrier        16\n",
       "American_Staffordshire_terrier     16\n",
       "                                 ... \n",
       "Tibetan_terrier                     4\n",
       "Scottish_deerhound                  4\n",
       "giant_schnauzer                     4\n",
       "Gordon_setter                       4\n",
       "Greater_Swiss_Mountain_dog          3\n",
       "cairn                               3\n",
       "Irish_setter                        3\n",
       "komondor                            3\n",
       "briard                              3\n",
       "curly-coated_retriever              3\n",
       "Irish_water_spaniel                 3\n",
       "Leonberg                            3\n",
       "Tibetan_mastiff                     3\n",
       "toy_terrier                         3\n",
       "Brabancon_griffon                   3\n",
       "Australian_terrier                  2\n",
       "Appenzeller                         2\n",
       "groenendael                         2\n",
       "Sussex_spaniel                      2\n",
       "black-and-tan_coonhound             2\n",
       "wire-haired_fox_terrier             2\n",
       "Afghan_hound                        2\n",
       "Scotch_terrier                      1\n",
       "EntleBucher                         1\n",
       "Bouvier_des_Flandres                1\n",
       "clumber                             1\n",
       "Irish_wolfhound                     1\n",
       "Japanese_spaniel                    1\n",
       "standard_schnauzer                  1\n",
       "silky_terrier                       1\n",
       "Name: dog_type, Length: 113, dtype: int64"
      ]
     },
     "execution_count": 282,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_twitter['dog_type'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 283,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x122fc65c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_dog_type = df_twitter.groupby('dog_type').filter(lambda x: len(x) >= 25)\n",
    "\n",
    "df_dog_type['dog_type'].value_counts().plot(kind = 'barh')\n",
    "plt.title('Histogram of the Most Rated Dog Type')\n",
    "plt.xlabel('Count')\n",
    "plt.ylabel('Type of dog')\n",
    "\n",
    "fig = plt.gcf() \n",
    "fig.savefig('output.png',bbox_inches='tight');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='two'></a>\n",
    "### Insight two\n",
    "Japanese_spaniel has the lowest average rating\n",
    "Clumber has the highest average rating"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 284,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_dog_type_mean = df_twitter.groupby('dog_type').mean()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 285,
   "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>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>rating</th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>followers_count</th>\n",
       "      <th>friends_count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dog_type</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghan_hound</th>\n",
       "      <td>8.095999e+17</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2016.500000</td>\n",
       "      <td>6.00</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>11929.5000</td>\n",
       "      <td>3500.500000</td>\n",
       "      <td>6.829027e+06</td>\n",
       "      <td>103.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Airedale</th>\n",
       "      <td>7.184489e+17</td>\n",
       "      <td>9.833333</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2015.583333</td>\n",
       "      <td>8.75</td>\n",
       "      <td>15.916667</td>\n",
       "      <td>9.833333</td>\n",
       "      <td>5170.2500</td>\n",
       "      <td>1350.833333</td>\n",
       "      <td>6.829046e+06</td>\n",
       "      <td>103.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American_Staffordshire_terrier</th>\n",
       "      <td>7.597284e+17</td>\n",
       "      <td>10.312500</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2016.187500</td>\n",
       "      <td>5.25</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>10.312500</td>\n",
       "      <td>9185.1875</td>\n",
       "      <td>2242.062500</td>\n",
       "      <td>6.829115e+06</td>\n",
       "      <td>103.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Appenzeller</th>\n",
       "      <td>7.939334e+17</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2016.500000</td>\n",
       "      <td>4.50</td>\n",
       "      <td>18.500000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>7193.0000</td>\n",
       "      <td>1414.000000</td>\n",
       "      <td>6.829100e+06</td>\n",
       "      <td>103.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australian_terrier</th>\n",
       "      <td>7.785921e+17</td>\n",
       "      <td>11.500000</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2016.500000</td>\n",
       "      <td>3.50</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>11.500000</td>\n",
       "      <td>10906.5000</td>\n",
       "      <td>2983.000000</td>\n",
       "      <td>6.829102e+06</td>\n",
       "      <td>103.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    tweet_id  rating_numerator  \\\n",
       "dog_type                                                         \n",
       "Afghan_hound                    8.095999e+17          8.000000   \n",
       "Airedale                        7.184489e+17          9.833333   \n",
       "American_Staffordshire_terrier  7.597284e+17         10.312500   \n",
       "Appenzeller                     7.939334e+17         11.000000   \n",
       "Australian_terrier              7.785921e+17         11.500000   \n",
       "\n",
       "                                rating_denominator         year  month  \\\n",
       "dog_type                                                                 \n",
       "Afghan_hound                                  10.0  2016.500000   6.00   \n",
       "Airedale                                      10.0  2015.583333   8.75   \n",
       "American_Staffordshire_terrier                10.0  2016.187500   5.25   \n",
       "Appenzeller                                   10.0  2016.500000   4.50   \n",
       "Australian_terrier                            10.0  2016.500000   3.50   \n",
       "\n",
       "                                      day     rating  favorite_count  \\\n",
       "dog_type                                                               \n",
       "Afghan_hound                    16.000000   8.000000      11929.5000   \n",
       "Airedale                        15.916667   9.833333       5170.2500   \n",
       "American_Staffordshire_terrier  15.000000  10.312500       9185.1875   \n",
       "Appenzeller                     18.500000  11.000000       7193.0000   \n",
       "Australian_terrier               7.000000  11.500000      10906.5000   \n",
       "\n",
       "                                retweet_count  followers_count  friends_count  \n",
       "dog_type                                                                       \n",
       "Afghan_hound                      3500.500000     6.829027e+06          103.0  \n",
       "Airedale                          1350.833333     6.829046e+06          103.0  \n",
       "American_Staffordshire_terrier    2242.062500     6.829115e+06          103.0  \n",
       "Appenzeller                       1414.000000     6.829100e+06          103.0  \n",
       "Australian_terrier                2983.000000     6.829102e+06          103.0  "
      ]
     },
     "execution_count": 285,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_dog_type_mean.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 286,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dog_type\n",
       "Japanese_spaniel                5.000000\n",
       "Afghan_hound                    8.000000\n",
       "soft-coated_wheaten_terrier     8.800000\n",
       "Walker_hound                    9.000000\n",
       "Scotch_terrier                  9.000000\n",
       "Tibetan_terrier                 9.250000\n",
       "dalmatian                       9.272727\n",
       "Boston_bull                     9.416667\n",
       "Saint_Bernard                   9.500000\n",
       "Welsh_springer_spaniel          9.500000\n",
       "Dandie_Dinmont                  9.571429\n",
       "Norwich_terrier                 9.600000\n",
       "miniature_schnauzer             9.600000\n",
       "redbone                         9.666667\n",
       "English_setter                  9.714286\n",
       "Maltese_dog                     9.736842\n",
       "Rhodesian_ridgeback             9.750000\n",
       "Scottish_deerhound              9.750000\n",
       "Irish_terrier                   9.800000\n",
       "Airedale                        9.833333\n",
       "papillon                        9.833333\n",
       "Newfoundland                    9.857143\n",
       "Mexican_hairless                9.857143\n",
       "miniature_poodle                9.875000\n",
       "miniature_pinscher              9.916667\n",
       "Brabancon_griffon              10.000000\n",
       "Italian_greyhound              10.000000\n",
       "groenendael                    10.000000\n",
       "Ibizan_hound                   10.000000\n",
       "beagle                         10.052632\n",
       "                                 ...    \n",
       "Rottweiler                     11.105263\n",
       "cocker_spaniel                 11.153846\n",
       "Labrador_retriever             11.194175\n",
       "clumber                        11.270000\n",
       "Bernese_mountain_dog           11.272727\n",
       "kelpie                         11.307692\n",
       "Greater_Swiss_Mountain_dog     11.333333\n",
       "Irish_water_spaniel            11.333333\n",
       "Leonberg                       11.333333\n",
       "Doberman                       11.333333\n",
       "chow                           11.377778\n",
       "Pembroke                       11.393617\n",
       "Eskimo_dog                     11.409091\n",
       "Siberian_husky                 11.425000\n",
       "Norfolk_terrier                11.428571\n",
       "Great_Pyrenees                 11.466667\n",
       "Australian_terrier             11.500000\n",
       "wire-haired_fox_terrier        11.500000\n",
       "giant_schnauzer                11.500000\n",
       "golden_retriever               11.588028\n",
       "Samoyed                        11.657895\n",
       "Gordon_setter                  11.750000\n",
       "silky_terrier                  12.000000\n",
       "standard_schnauzer             12.000000\n",
       "Tibetan_mastiff                12.000000\n",
       "Border_terrier                 12.142857\n",
       "Irish_setter                   12.333333\n",
       "briard                         12.333333\n",
       "Saluki                         12.500000\n",
       "Bouvier_des_Flandres           13.000000\n",
       "Name: rating, Length: 113, dtype: float64"
      ]
     },
     "execution_count": 286,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_dog_type_sorted = df_dog_type_mean['rating'].sort_values()\n",
    "\n",
    "df_dog_type_sorted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "710    https://t.co/IoLRvF0Kak\n",
      "Name: url, dtype: object\n"
     ]
    }
   ],
   "source": [
    "print(df_twitter.loc[df_twitter.dog_type == 'Japanese_spaniel', 'url']) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "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>text</th>\n",
       "      <th>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "      <th>name</th>\n",
       "      <th>dogs_stage</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>rating</th>\n",
       "      <th>jpg_url</th>\n",
       "      <th>dog_type</th>\n",
       "      <th>confidence_list</th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>followers_count</th>\n",
       "      <th>friends_count</th>\n",
       "      <th>source</th>\n",
       "      <th>retweeted_status</th>\n",
       "      <th>url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>667530908589760512</td>\n",
       "      <td>Meet Naphaniel. He doesn't necessarily enjoy h...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Naphaniel</td>\n",
       "      <td>None</td>\n",
       "      <td>2015</td>\n",
       "      <td>11</td>\n",
       "      <td>20</td>\n",
       "      <td>10.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CUOL0uGUkAAx7yh.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.633037</td>\n",
       "      <td>488.0</td>\n",
       "      <td>254.0</td>\n",
       "      <td>6829270.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/xoRWyQTcmy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>667044094246576128</td>\n",
       "      <td>12/10 gimme now https://t.co/QZAnwgnOMB</td>\n",
       "      <td>12.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>2015</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>12.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CUHREBXXAAE6A9b.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.765266</td>\n",
       "      <td>191.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>6829275.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/QZAnwgnOMB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>667160273090932737</td>\n",
       "      <td>This is Bradlay. He is a Ronaldinho Matsuyama ...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Bradlay</td>\n",
       "      <td>None</td>\n",
       "      <td>2015</td>\n",
       "      <td>11</td>\n",
       "      <td>19</td>\n",
       "      <td>11.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CUI6uuaW4AAvCIs.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.471351</td>\n",
       "      <td>262.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>6829274.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/DKhgkMx4N1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>667182792070062081</td>\n",
       "      <td>This is Timison. He just told an awful joke bu...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Timison</td>\n",
       "      <td>None</td>\n",
       "      <td>2015</td>\n",
       "      <td>11</td>\n",
       "      <td>19</td>\n",
       "      <td>10.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CUJPNjOWsAAZRqP.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.949892</td>\n",
       "      <td>14751.0</td>\n",
       "      <td>6460.0</td>\n",
       "      <td>6829272.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/s2yYuHabWl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>667211855547486208</td>\n",
       "      <td>This is Genevieve. She is a golden retriever c...</td>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Genevieve</td>\n",
       "      <td>None</td>\n",
       "      <td>2015</td>\n",
       "      <td>11</td>\n",
       "      <td>19</td>\n",
       "      <td>9.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CUJppKJWoAA75NP.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.462556</td>\n",
       "      <td>505.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>6829272.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/azEoGqVonH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>668286279830867968</td>\n",
       "      <td>Meet Rusty. Rusty's dreaming of a world where ...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Rusty</td>\n",
       "      <td>None</td>\n",
       "      <td>2015</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>11.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CUY60usWoAAdBxx.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.215944</td>\n",
       "      <td>524.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>6829266.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/C8U6cxI1Jc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>666345417576210432</td>\n",
       "      <td>Look at this jokester thinking seat belt laws ...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>2015</td>\n",
       "      <td>11</td>\n",
       "      <td>16</td>\n",
       "      <td>10.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CT9Vn7PWoAA_ZCM.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.858744</td>\n",
       "      <td>300.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>6829278.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/VFKG1vxGjB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>666063827256086533</td>\n",
       "      <td>This is the happiest dog you will ever see. Ve...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>the</td>\n",
       "      <td>None</td>\n",
       "      <td>2015</td>\n",
       "      <td>11</td>\n",
       "      <td>16</td>\n",
       "      <td>10.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Vg_wXIAAXfnj.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.77593</td>\n",
       "      <td>479.0</td>\n",
       "      <td>223.0</td>\n",
       "      <td>6829279.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/RhUEAloehK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>666057090499244032</td>\n",
       "      <td>My oh my. This is a rare blond Canadian terrie...</td>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>a</td>\n",
       "      <td>None</td>\n",
       "      <td>2015</td>\n",
       "      <td>11</td>\n",
       "      <td>16</td>\n",
       "      <td>9.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5PY90WoAAQGLo.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.00795896</td>\n",
       "      <td>298.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>6829279.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/yWBqbrzy8O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>876484053909872640</td>\n",
       "      <td>This is Benedict. He wants to thank you for th...</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Benedict</td>\n",
       "      <td>None</td>\n",
       "      <td>2017</td>\n",
       "      <td>6</td>\n",
       "      <td>18</td>\n",
       "      <td>13.0</td>\n",
       "      <td>https://pbs.twimg.com/media/DCnll_dUQAAkBdG.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.874566</td>\n",
       "      <td>18816.0</td>\n",
       "      <td>2434.0</td>\n",
       "      <td>6829012.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/ccBFQU5UWO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>888804989199671297</td>\n",
       "      <td>This is Zeke. He has a new stick. Very proud o...</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Zeke</td>\n",
       "      <td>None</td>\n",
       "      <td>2017</td>\n",
       "      <td>7</td>\n",
       "      <td>22</td>\n",
       "      <td>13.0</td>\n",
       "      <td>https://pbs.twimg.com/media/DFWra-3VYAA2piG.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.46976</td>\n",
       "      <td>25622.0</td>\n",
       "      <td>4383.0</td>\n",
       "      <td>6829011.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/L5cCoR2huQ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>888917238123831296</td>\n",
       "      <td>This is Jim. He found a fren. Taught him how t...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Jim</td>\n",
       "      <td>None</td>\n",
       "      <td>2017</td>\n",
       "      <td>7</td>\n",
       "      <td>23</td>\n",
       "      <td>12.0</td>\n",
       "      <td>https://pbs.twimg.com/media/DFYRgsOUQAARGhO.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.714719</td>\n",
       "      <td>29120.0</td>\n",
       "      <td>4538.0</td>\n",
       "      <td>6829011.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/chxruIOUJN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>880465832366813184</td>\n",
       "      <td>This is Bella. She had her first beach experie...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Bella</td>\n",
       "      <td>None</td>\n",
       "      <td>2017</td>\n",
       "      <td>6</td>\n",
       "      <td>29</td>\n",
       "      <td>12.0</td>\n",
       "      <td>https://pbs.twimg.com/media/DDgK-J4XUAIEV9W.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.913255</td>\n",
       "      <td>28572.0</td>\n",
       "      <td>6354.0</td>\n",
       "      <td>6829011.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/4VsFysDmiw</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>882045870035918850</td>\n",
       "      <td>This is Koko. Her owner, inspired by Barney, r...</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Koko</td>\n",
       "      <td>None</td>\n",
       "      <td>2017</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>13.0</td>\n",
       "      <td>https://pbs.twimg.com/media/DD2oCl2WAAEI_4a.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.00694063</td>\n",
       "      <td>29407.0</td>\n",
       "      <td>5038.0</td>\n",
       "      <td>6829011.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/cj0lK9TLUv</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>882268110199369728</td>\n",
       "      <td>This is Alfy. You're witnessing his first wate...</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Alfy</td>\n",
       "      <td>None</td>\n",
       "      <td>2017</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>13.0</td>\n",
       "      <td>https://pbs.twimg.com/media/DD5yKdPW0AArzX8.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.762211</td>\n",
       "      <td>45039.0</td>\n",
       "      <td>11723.0</td>\n",
       "      <td>6829011.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/fYP5RlutfA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>883117836046086144</td>\n",
       "      <td>Please only send dogs. We don't rate mechanics...</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>2017</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>13.0</td>\n",
       "      <td>https://pbs.twimg.com/media/DEF2-_hXoAAs62q.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.949562</td>\n",
       "      <td>37270.0</td>\n",
       "      <td>6741.0</td>\n",
       "      <td>6829011.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/Se5fZ9wp5E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>883482846933004288</td>\n",
       "      <td>This is Bella. She hopes her smile made you sm...</td>\n",
       "      <td>13.5</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Bella</td>\n",
       "      <td>None</td>\n",
       "      <td>2017</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>13.5</td>\n",
       "      <td>https://pbs.twimg.com/media/DELC9dZXUAADqUk.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.943082</td>\n",
       "      <td>46019.0</td>\n",
       "      <td>10054.0</td>\n",
       "      <td>6829011.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/qjrljjt948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>690735892932222976</td>\n",
       "      <td>Say hello to Peaches. She's a Dingleberry Zand...</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Peaches</td>\n",
       "      <td>None</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>23</td>\n",
       "      <td>13.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CZX8nyeVAAEstKM.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.883229</td>\n",
       "      <td>4043.0</td>\n",
       "      <td>1406.0</td>\n",
       "      <td>6829194.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/YrhkrTsoTt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>690959652130045952</td>\n",
       "      <td>This golden is happy to refute the soft mouth ...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>23</td>\n",
       "      <td>11.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CZbIIM-WkAIPClg.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.862964</td>\n",
       "      <td>3832.0</td>\n",
       "      <td>1381.0</td>\n",
       "      <td>6829194.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/DgXYBDMM3E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>692568918515392513</td>\n",
       "      <td>This is Chester. He's been guarding this pumpk...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Chester</td>\n",
       "      <td>None</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>28</td>\n",
       "      <td>12.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CZx_wV2UMAArgsJ.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.636845</td>\n",
       "      <td>4648.0</td>\n",
       "      <td>1682.0</td>\n",
       "      <td>6829193.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/CFMjsn3P6B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>684225744407494656</td>\n",
       "      <td>Two sneaky puppers were not initially seen, mo...</td>\n",
       "      <td>143.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>11.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CX7br3HWsAAQ9L1.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.203249</td>\n",
       "      <td>1329.0</td>\n",
       "      <td>232.0</td>\n",
       "      <td>6829208.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/kRK51Y5ac3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>683098815881154561</td>\n",
       "      <td>aahhhhkslaldhwnxmzbbs 12/10 for being da smoos...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>12.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CXrawAhWkAAWSxC.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.889848</td>\n",
       "      <td>2320.0</td>\n",
       "      <td>717.0</td>\n",
       "      <td>6829209.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/UOPdXmUz4H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>688385280030670848</td>\n",
       "      <td>This is Louis. He's takes top-notch selfies. 1...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Louis</td>\n",
       "      <td>None</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>12.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CY2iwGNWUAI5zWi.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.900437</td>\n",
       "      <td>9979.0</td>\n",
       "      <td>4893.0</td>\n",
       "      <td>6829197.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/vz2DukO0th</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>713900603437621249</td>\n",
       "      <td>Happy Saturday here's 9 puppers on a bench. 99...</td>\n",
       "      <td>99.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>2016</td>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>11.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CehIzzZWQAEyHH5.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.371816</td>\n",
       "      <td>3017.0</td>\n",
       "      <td>811.0</td>\n",
       "      <td>6829172.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/mpvaVxKmc1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>708810915978854401</td>\n",
       "      <td>This is Mister. He's a wonderful father to his...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Mister</td>\n",
       "      <td>None</td>\n",
       "      <td>2016</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>10.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CdYzwuYUIAAHPkB.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.976139</td>\n",
       "      <td>17648.0</td>\n",
       "      <td>7617.0</td>\n",
       "      <td>6829179.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/2KcuJXL2r4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>709556954897764353</td>\n",
       "      <td>This is Cecil. She's a Gigglefloof Poofer. Out...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Cecil</td>\n",
       "      <td>None</td>\n",
       "      <td>2016</td>\n",
       "      <td>3</td>\n",
       "      <td>15</td>\n",
       "      <td>12.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CdjaSFCWAAAJZh3.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.790026</td>\n",
       "      <td>3506.0</td>\n",
       "      <td>1163.0</td>\n",
       "      <td>6829179.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/ijJB0DuOIC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370</th>\n",
       "      <td>718971898235854848</td>\n",
       "      <td>This is Sadie. She is prepared for battle. 10/...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Sadie</td>\n",
       "      <td>None</td>\n",
       "      <td>2016</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>10.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CfpNGTHUIAAA8XC.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.140394</td>\n",
       "      <td>3721.0</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>6829171.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/JRckDkZVRT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>719339463458033665</td>\n",
       "      <td>Say hello to Lucy and Sophie. They think they'...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Lucy</td>\n",
       "      <td>None</td>\n",
       "      <td>2016</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>10.0</td>\n",
       "      <td>https://pbs.twimg.com/media/Cfuba6NW4AIeMHk.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.765778</td>\n",
       "      <td>4708.0</td>\n",
       "      <td>1360.0</td>\n",
       "      <td>6829171.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/HW50zkcf2R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385</th>\n",
       "      <td>723673163800948736</td>\n",
       "      <td>This is Ivar. She is a badass Viking warrior. ...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Ivar</td>\n",
       "      <td>None</td>\n",
       "      <td>2016</td>\n",
       "      <td>4</td>\n",
       "      <td>23</td>\n",
       "      <td>10.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CgsA5eFWgAAu0qn.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.83939</td>\n",
       "      <td>3231.0</td>\n",
       "      <td>974.0</td>\n",
       "      <td>6829170.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/Dz6MiVssVU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>715680795826982913</td>\n",
       "      <td>This is Zeus. He's downright fabulous. 12/10 h...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Zeus</td>\n",
       "      <td>None</td>\n",
       "      <td>2016</td>\n",
       "      <td>3</td>\n",
       "      <td>31</td>\n",
       "      <td>12.0</td>\n",
       "      <td>https://pbs.twimg.com/media/Ce6b4MPWwAA22Xm.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.990715</td>\n",
       "      <td>4612.0</td>\n",
       "      <td>1772.0</td>\n",
       "      <td>6829172.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/sSugyyRuTp</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1376</th>\n",
       "      <td>846514051647705089</td>\n",
       "      <td>This is Barney. He's an elder doggo. Hitches a...</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Barney</td>\n",
       "      <td>doggo</td>\n",
       "      <td>2017</td>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>13.0</td>\n",
       "      <td>https://pbs.twimg.com/media/C79sB4xXwAEvwKY.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.650003</td>\n",
       "      <td>47329.0</td>\n",
       "      <td>12630.0</td>\n",
       "      <td>6829016.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/SIh5iOUSQh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1381</th>\n",
       "      <td>834574053763584002</td>\n",
       "      <td>Here's a doggo fully pupared for a shower. H*c...</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>doggo</td>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>13.0</td>\n",
       "      <td>https://pbs.twimg.com/media/C5UAqgyXAAAbMWH.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.226564</td>\n",
       "      <td>14706.0</td>\n",
       "      <td>2802.0</td>\n",
       "      <td>6829020.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/UtEVnQ1ZPg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382</th>\n",
       "      <td>719991154352222208</td>\n",
       "      <td>This doggo was initially thrilled when she saw...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>doggo</td>\n",
       "      <td>2016</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>10.0</td>\n",
       "      <td>https://pbs.twimg.com/media/Cf3sH62VAAA-LiP.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.605304</td>\n",
       "      <td>5161.0</td>\n",
       "      <td>1912.0</td>\n",
       "      <td>6829169.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/mvnBGaWULV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1391</th>\n",
       "      <td>716080869887381504</td>\n",
       "      <td>Here's a super majestic doggo and a sunset 11/...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>doggo</td>\n",
       "      <td>2016</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>11.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CfAHv83UMAIEQYx.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.638625</td>\n",
       "      <td>5217.0</td>\n",
       "      <td>1901.0</td>\n",
       "      <td>6829172.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/UACnoyi8zu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1393</th>\n",
       "      <td>795464331001561088</td>\n",
       "      <td>Elder doggo does a splash. Both 13/10 incredib...</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>doggo</td>\n",
       "      <td>2016</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>13.0</td>\n",
       "      <td>https://pbs.twimg.com/ext_tw_video_thumb/79546...</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.193082</td>\n",
       "      <td>54601.0</td>\n",
       "      <td>26932.0</td>\n",
       "      <td>6829029.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/gBUDjdEcqz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1395</th>\n",
       "      <td>786363235746385920</td>\n",
       "      <td>This is Rizzo. He has many talents. A true ren...</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Rizzo</td>\n",
       "      <td>doggo</td>\n",
       "      <td>2016</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>13.0</td>\n",
       "      <td>https://pbs.twimg.com/media/Cum5LlfWAAAyPcS.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.929266</td>\n",
       "      <td>11930.0</td>\n",
       "      <td>3957.0</td>\n",
       "      <td>6829034.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/TVXpEJB7Wn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1403</th>\n",
       "      <td>782747134529531904</td>\n",
       "      <td>This is Deacon. He's the happiest almost dry d...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Deacon</td>\n",
       "      <td>doggo</td>\n",
       "      <td>2016</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>11.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CtzgXgeXYAA1Gxw.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.560699</td>\n",
       "      <td>8148.0</td>\n",
       "      <td>1568.0</td>\n",
       "      <td>6829034.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/C6fUMnHt1H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1418</th>\n",
       "      <td>858843525470990336</td>\n",
       "      <td>I have stumbled puppon a doggo painting party....</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>doggo</td>\n",
       "      <td>2017</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>13.0</td>\n",
       "      <td>https://pbs.twimg.com/media/C-s5oYZXkAAMHHq.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.57812</td>\n",
       "      <td>16005.0</td>\n",
       "      <td>3650.0</td>\n",
       "      <td>6829012.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/A1s7QG7tqa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1419</th>\n",
       "      <td>821765923262631936</td>\n",
       "      <td>This is Duchess. She uses dark doggo forces to...</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Duchess</td>\n",
       "      <td>doggo</td>\n",
       "      <td>2017</td>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>13.0</td>\n",
       "      <td>https://pbs.twimg.com/media/C2d_vnHWEAE9phX.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.980071</td>\n",
       "      <td>9150.0</td>\n",
       "      <td>1864.0</td>\n",
       "      <td>6829022.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/maDNMETA52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1429</th>\n",
       "      <td>800388270626521089</td>\n",
       "      <td>This is Doc. He takes time out of every day to...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Doc</td>\n",
       "      <td>floofer</td>\n",
       "      <td>2016</td>\n",
       "      <td>11</td>\n",
       "      <td>20</td>\n",
       "      <td>12.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CxuM3oZW8AEhO5z.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.35986</td>\n",
       "      <td>12209.0</td>\n",
       "      <td>3160.0</td>\n",
       "      <td>6829029.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/azMneS6Ly5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1443</th>\n",
       "      <td>724405726123311104</td>\n",
       "      <td>This is Ashleigh. She's having Coachella withd...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Ashleigh</td>\n",
       "      <td>pupper</td>\n",
       "      <td>2016</td>\n",
       "      <td>4</td>\n",
       "      <td>25</td>\n",
       "      <td>10.0</td>\n",
       "      <td>https://pbs.twimg.com/media/Cg2bKLAWwAA0WEm.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.240695</td>\n",
       "      <td>5672.0</td>\n",
       "      <td>1799.0</td>\n",
       "      <td>6829170.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/nRUaKWnJfH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1479</th>\n",
       "      <td>678341075375947776</td>\n",
       "      <td>This pupper likes tape. 12/10 https://t.co/cSp...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>2015</td>\n",
       "      <td>12</td>\n",
       "      <td>19</td>\n",
       "      <td>12.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CWnznDTU4AAa-6P.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.853284</td>\n",
       "      <td>1840.0</td>\n",
       "      <td>590.0</td>\n",
       "      <td>6829221.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/cSp6w5GWgm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1481</th>\n",
       "      <td>676470639084101634</td>\n",
       "      <td>Three generations of pupper. 11/10 for all htt...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>2015</td>\n",
       "      <td>12</td>\n",
       "      <td>14</td>\n",
       "      <td>11.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CWNOdIpWoAAWid2.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.790386</td>\n",
       "      <td>12339.0</td>\n",
       "      <td>5079.0</td>\n",
       "      <td>6829244.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/tAmQYvzrau</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1498</th>\n",
       "      <td>680100725817409536</td>\n",
       "      <td>This pupper is not coming inside until she cat...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>2015</td>\n",
       "      <td>12</td>\n",
       "      <td>24</td>\n",
       "      <td>11.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CW-loUBWYAAn2Cb.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.698961</td>\n",
       "      <td>3814.0</td>\n",
       "      <td>1507.0</td>\n",
       "      <td>6829218.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>TweetDeck</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/lvMYbmKq8H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1522</th>\n",
       "      <td>808106460588765185</td>\n",
       "      <td>Here we have Burke (pupper) and Dexter (doggo)...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>2016</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12.0</td>\n",
       "      <td>https://pbs.twimg.com/media/Czb4iFRXgAIUMiN.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.426183</td>\n",
       "      <td>9523.0</td>\n",
       "      <td>2460.0</td>\n",
       "      <td>6829027.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/7nJXFt8Ggy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1524</th>\n",
       "      <td>807621403335917568</td>\n",
       "      <td>This is Ollie Vue. He was a 3 legged pupper on...</td>\n",
       "      <td>14.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Ollie</td>\n",
       "      <td>pupper</td>\n",
       "      <td>2016</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>14.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CzU_YVGUUAA3Xsd.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.873233</td>\n",
       "      <td>15935.0</td>\n",
       "      <td>4153.0</td>\n",
       "      <td>6829027.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/gJQnfSziJE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1535</th>\n",
       "      <td>751456908746354688</td>\n",
       "      <td>Here's a pupper that's very hungry but too laz...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>2016</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>12.0</td>\n",
       "      <td>https://pbs.twimg.com/ext_tw_video_thumb/75145...</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.714409</td>\n",
       "      <td>3464.0</td>\n",
       "      <td>1096.0</td>\n",
       "      <td>6829151.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/lsVAMBq6ex</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1537</th>\n",
       "      <td>699801817392291840</td>\n",
       "      <td>This is Cooper. He began to tear up when his b...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Cooper</td>\n",
       "      <td>pupper</td>\n",
       "      <td>2016</td>\n",
       "      <td>2</td>\n",
       "      <td>17</td>\n",
       "      <td>11.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CbYyCMcWIAAHHjF.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.808978</td>\n",
       "      <td>3266.0</td>\n",
       "      <td>1056.0</td>\n",
       "      <td>6829186.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/qI8yvqKG02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1540</th>\n",
       "      <td>699434518667751424</td>\n",
       "      <td>I know this is a tad late but here's a wonderf...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>2016</td>\n",
       "      <td>2</td>\n",
       "      <td>16</td>\n",
       "      <td>12.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CbTj--1XEAIZjc_.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.836572</td>\n",
       "      <td>2327.0</td>\n",
       "      <td>558.0</td>\n",
       "      <td>6829186.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/hTE2PEwGvi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1541</th>\n",
       "      <td>673295268553605120</td>\n",
       "      <td>Meet Eve. She's a raging alcoholic 8/10 (would...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Eve</td>\n",
       "      <td>pupper</td>\n",
       "      <td>2015</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
       "      <td>8.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CVgGc9hWIAIe1bn.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.889241</td>\n",
       "      <td>7841.0</td>\n",
       "      <td>3377.0</td>\n",
       "      <td>6829256.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/U36HYQIijg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1551</th>\n",
       "      <td>700143752053182464</td>\n",
       "      <td>When it's Janet from accounting's birthday but...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>2016</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>10.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CbdpBmLUYAY9SgQ.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.53246</td>\n",
       "      <td>8087.0</td>\n",
       "      <td>3027.0</td>\n",
       "      <td>6829185.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/Fbdr5orUrJ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1553</th>\n",
       "      <td>672622327801233409</td>\n",
       "      <td>This lil pupper is sad because we haven't foun...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>2015</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "      <td>12.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CVWicBbUYAIomjC.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.952773</td>\n",
       "      <td>1344.0</td>\n",
       "      <td>523.0</td>\n",
       "      <td>6829257.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/Cv7dRdcMvQ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1573</th>\n",
       "      <td>756939218950160384</td>\n",
       "      <td>This is Jax. He is a majestic mountain pupper....</td>\n",
       "      <td>12.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Jax</td>\n",
       "      <td>pupper</td>\n",
       "      <td>2016</td>\n",
       "      <td>7</td>\n",
       "      <td>23</td>\n",
       "      <td>12.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CoEwMXeWEAAaIz5.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.790371</td>\n",
       "      <td>7197.0</td>\n",
       "      <td>2226.0</td>\n",
       "      <td>6829148.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/KGdeHuFJnH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1579</th>\n",
       "      <td>837820167694528512</td>\n",
       "      <td>Here's a pupper before and after being asked \"...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>2017</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>12.0</td>\n",
       "      <td>https://pbs.twimg.com/media/C6CI_jbVAAA3-a1.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.887625</td>\n",
       "      <td>36573.0</td>\n",
       "      <td>8681.0</td>\n",
       "      <td>6829020.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/ORiK6jlgdH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1584</th>\n",
       "      <td>765371061932261376</td>\n",
       "      <td>This is Louie. He's had a long day. Did a lot ...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Louie</td>\n",
       "      <td>pupper</td>\n",
       "      <td>2016</td>\n",
       "      <td>8</td>\n",
       "      <td>16</td>\n",
       "      <td>11.0</td>\n",
       "      <td>https://pbs.twimg.com/media/Cp8k6oRWcAUL78U.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.829456</td>\n",
       "      <td>7692.0</td>\n",
       "      <td>2406.0</td>\n",
       "      <td>6829040.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/w2qDmoTIZ5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1585</th>\n",
       "      <td>693262851218264065</td>\n",
       "      <td>I hope you guys enjoy this beautiful snowy pup...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>11.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CZ724fDUYAAytS-.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.989333</td>\n",
       "      <td>2392.0</td>\n",
       "      <td>548.0</td>\n",
       "      <td>6829193.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/DYUsHtL2aR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1588</th>\n",
       "      <td>675740360753160193</td>\n",
       "      <td>Here's a pupper licking in slow motion. 12/10 ...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>2015</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12.0</td>\n",
       "      <td>https://pbs.twimg.com/ext_tw_video_thumb/67574...</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.800495</td>\n",
       "      <td>1224.0</td>\n",
       "      <td>373.0</td>\n",
       "      <td>6829246.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/AUJi8ujxw9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1598</th>\n",
       "      <td>759793422261743616</td>\n",
       "      <td>Meet Maggie &amp;amp; Lila. Maggie is the doggo, L...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Maggie</td>\n",
       "      <td>pupper</td>\n",
       "      <td>2016</td>\n",
       "      <td>7</td>\n",
       "      <td>31</td>\n",
       "      <td>12.0</td>\n",
       "      <td>https://pbs.twimg.com/media/CotUFZEWcAA2Pku.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.985876</td>\n",
       "      <td>6468.0</td>\n",
       "      <td>2121.0</td>\n",
       "      <td>6829040.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/MYwR4DQKll</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1615</th>\n",
       "      <td>859607811541651456</td>\n",
       "      <td>Sorry for the lack of posts today. I came home...</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>None</td>\n",
       "      <td>puppo</td>\n",
       "      <td>2017</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>13.0</td>\n",
       "      <td>https://pbs.twimg.com/media/C-3wvtxXcAUTuBE.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.895529</td>\n",
       "      <td>19114.0</td>\n",
       "      <td>1653.0</td>\n",
       "      <td>6829012.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/GL6vzAbHrv</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1617</th>\n",
       "      <td>889531135344209921</td>\n",
       "      <td>This is Stuart. He's sporting his favorite fan...</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Stuart</td>\n",
       "      <td>puppo</td>\n",
       "      <td>2017</td>\n",
       "      <td>7</td>\n",
       "      <td>24</td>\n",
       "      <td>13.0</td>\n",
       "      <td>https://pbs.twimg.com/media/DFg_2PVW0AEHN3p.jpg</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.953442</td>\n",
       "      <td>15119.0</td>\n",
       "      <td>2254.0</td>\n",
       "      <td>6829011.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Original tweet</td>\n",
       "      <td>https://t.co/Ya3bdfYuCx</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>142 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id                                               text  \\\n",
       "8     667530908589760512  Meet Naphaniel. He doesn't necessarily enjoy h...   \n",
       "30    667044094246576128            12/10 gimme now https://t.co/QZAnwgnOMB   \n",
       "37    667160273090932737  This is Bradlay. He is a Ronaldinho Matsuyama ...   \n",
       "43    667182792070062081  This is Timison. He just told an awful joke bu...   \n",
       "46    667211855547486208  This is Genevieve. She is a golden retriever c...   \n",
       "62    668286279830867968  Meet Rusty. Rusty's dreaming of a world where ...   \n",
       "76    666345417576210432  Look at this jokester thinking seat belt laws ...   \n",
       "78    666063827256086533  This is the happiest dog you will ever see. Ve...   \n",
       "94    666057090499244032  My oh my. This is a rare blond Canadian terrie...   \n",
       "110   876484053909872640  This is Benedict. He wants to thank you for th...   \n",
       "128   888804989199671297  This is Zeke. He has a new stick. Very proud o...   \n",
       "141   888917238123831296  This is Jim. He found a fren. Taught him how t...   \n",
       "150   880465832366813184  This is Bella. She had her first beach experie...   \n",
       "154   882045870035918850  This is Koko. Her owner, inspired by Barney, r...   \n",
       "155   882268110199369728  This is Alfy. You're witnessing his first wate...   \n",
       "158   883117836046086144  Please only send dogs. We don't rate mechanics...   \n",
       "159   883482846933004288  This is Bella. She hopes her smile made you sm...   \n",
       "170   690735892932222976  Say hello to Peaches. She's a Dingleberry Zand...   \n",
       "171   690959652130045952  This golden is happy to refute the soft mouth ...   \n",
       "185   692568918515392513  This is Chester. He's been guarding this pumpk...   \n",
       "257   684225744407494656  Two sneaky puppers were not initially seen, mo...   \n",
       "262   683098815881154561  aahhhhkslaldhwnxmzbbs 12/10 for being da smoos...   \n",
       "294   688385280030670848  This is Louis. He's takes top-notch selfies. 1...   \n",
       "332   713900603437621249  Happy Saturday here's 9 puppers on a bench. 99...   \n",
       "344   708810915978854401  This is Mister. He's a wonderful father to his...   \n",
       "354   709556954897764353  This is Cecil. She's a Gigglefloof Poofer. Out...   \n",
       "370   718971898235854848  This is Sadie. She is prepared for battle. 10/...   \n",
       "372   719339463458033665  Say hello to Lucy and Sophie. They think they'...   \n",
       "385   723673163800948736  This is Ivar. She is a badass Viking warrior. ...   \n",
       "398   715680795826982913  This is Zeus. He's downright fabulous. 12/10 h...   \n",
       "...                  ...                                                ...   \n",
       "1376  846514051647705089  This is Barney. He's an elder doggo. Hitches a...   \n",
       "1381  834574053763584002  Here's a doggo fully pupared for a shower. H*c...   \n",
       "1382  719991154352222208  This doggo was initially thrilled when she saw...   \n",
       "1391  716080869887381504  Here's a super majestic doggo and a sunset 11/...   \n",
       "1393  795464331001561088  Elder doggo does a splash. Both 13/10 incredib...   \n",
       "1395  786363235746385920  This is Rizzo. He has many talents. A true ren...   \n",
       "1403  782747134529531904  This is Deacon. He's the happiest almost dry d...   \n",
       "1418  858843525470990336  I have stumbled puppon a doggo painting party....   \n",
       "1419  821765923262631936  This is Duchess. She uses dark doggo forces to...   \n",
       "1429  800388270626521089  This is Doc. He takes time out of every day to...   \n",
       "1443  724405726123311104  This is Ashleigh. She's having Coachella withd...   \n",
       "1479  678341075375947776  This pupper likes tape. 12/10 https://t.co/cSp...   \n",
       "1481  676470639084101634  Three generations of pupper. 11/10 for all htt...   \n",
       "1498  680100725817409536  This pupper is not coming inside until she cat...   \n",
       "1522  808106460588765185  Here we have Burke (pupper) and Dexter (doggo)...   \n",
       "1524  807621403335917568  This is Ollie Vue. He was a 3 legged pupper on...   \n",
       "1535  751456908746354688  Here's a pupper that's very hungry but too laz...   \n",
       "1537  699801817392291840  This is Cooper. He began to tear up when his b...   \n",
       "1540  699434518667751424  I know this is a tad late but here's a wonderf...   \n",
       "1541  673295268553605120  Meet Eve. She's a raging alcoholic 8/10 (would...   \n",
       "1551  700143752053182464  When it's Janet from accounting's birthday but...   \n",
       "1553  672622327801233409  This lil pupper is sad because we haven't foun...   \n",
       "1573  756939218950160384  This is Jax. He is a majestic mountain pupper....   \n",
       "1579  837820167694528512  Here's a pupper before and after being asked \"...   \n",
       "1584  765371061932261376  This is Louie. He's had a long day. Did a lot ...   \n",
       "1585  693262851218264065  I hope you guys enjoy this beautiful snowy pup...   \n",
       "1588  675740360753160193  Here's a pupper licking in slow motion. 12/10 ...   \n",
       "1598  759793422261743616  Meet Maggie &amp; Lila. Maggie is the doggo, L...   \n",
       "1615  859607811541651456  Sorry for the lack of posts today. I came home...   \n",
       "1617  889531135344209921  This is Stuart. He's sporting his favorite fan...   \n",
       "\n",
       "      rating_numerator  rating_denominator       name dogs_stage  year  month  \\\n",
       "8                 10.0                10.0  Naphaniel       None  2015     11   \n",
       "30                12.0                10.0       None       None  2015     11   \n",
       "37                11.0                10.0    Bradlay       None  2015     11   \n",
       "43                10.0                10.0    Timison       None  2015     11   \n",
       "46                 9.0                10.0  Genevieve       None  2015     11   \n",
       "62                11.0                10.0      Rusty       None  2015     11   \n",
       "76                10.0                10.0       None       None  2015     11   \n",
       "78                10.0                10.0        the       None  2015     11   \n",
       "94                 9.0                10.0          a       None  2015     11   \n",
       "110               13.0                10.0   Benedict       None  2017      6   \n",
       "128               13.0                10.0       Zeke       None  2017      7   \n",
       "141               12.0                10.0        Jim       None  2017      7   \n",
       "150               12.0                10.0      Bella       None  2017      6   \n",
       "154               13.0                10.0       Koko       None  2017      7   \n",
       "155               13.0                10.0       Alfy       None  2017      7   \n",
       "158               13.0                10.0       None       None  2017      7   \n",
       "159               13.5                10.0      Bella       None  2017      7   \n",
       "170               13.0                10.0    Peaches       None  2016      1   \n",
       "171               11.0                10.0       None       None  2016      1   \n",
       "185               12.0                10.0    Chester       None  2016      1   \n",
       "257              143.0               130.0       None       None  2016      1   \n",
       "262               12.0                10.0       None       None  2016      1   \n",
       "294               12.0                10.0      Louis       None  2016      1   \n",
       "332               99.0                90.0       None       None  2016      3   \n",
       "344               10.0                10.0     Mister       None  2016      3   \n",
       "354               12.0                10.0      Cecil       None  2016      3   \n",
       "370               10.0                10.0      Sadie       None  2016      4   \n",
       "372               10.0                10.0       Lucy       None  2016      4   \n",
       "385               10.0                10.0       Ivar       None  2016      4   \n",
       "398               12.0                10.0       Zeus       None  2016      3   \n",
       "...                ...                 ...        ...        ...   ...    ...   \n",
       "1376              13.0                10.0     Barney      doggo  2017      3   \n",
       "1381              13.0                10.0       None      doggo  2017      2   \n",
       "1382              10.0                10.0       None      doggo  2016      4   \n",
       "1391              11.0                10.0       None      doggo  2016      4   \n",
       "1393              13.0                10.0       None      doggo  2016     11   \n",
       "1395              13.0                10.0      Rizzo      doggo  2016     10   \n",
       "1403              11.0                10.0     Deacon      doggo  2016     10   \n",
       "1418              13.0                10.0       None      doggo  2017      5   \n",
       "1419              13.0                10.0    Duchess      doggo  2017      1   \n",
       "1429              12.0                10.0        Doc    floofer  2016     11   \n",
       "1443              10.0                10.0   Ashleigh     pupper  2016      4   \n",
       "1479              12.0                10.0       None     pupper  2015     12   \n",
       "1481              11.0                10.0       None     pupper  2015     12   \n",
       "1498              11.0                10.0       None     pupper  2015     12   \n",
       "1522              12.0                10.0       None     pupper  2016     12   \n",
       "1524              14.0                10.0      Ollie     pupper  2016     12   \n",
       "1535              12.0                10.0       None     pupper  2016      7   \n",
       "1537              11.0                10.0     Cooper     pupper  2016      2   \n",
       "1540              12.0                10.0       None     pupper  2016      2   \n",
       "1541               8.0                10.0        Eve     pupper  2015     12   \n",
       "1551              10.0                10.0       None     pupper  2016      2   \n",
       "1553              12.0                10.0       None     pupper  2015     12   \n",
       "1573              12.0                10.0        Jax     pupper  2016      7   \n",
       "1579              12.0                10.0       None     pupper  2017      3   \n",
       "1584              11.0                10.0      Louie     pupper  2016      8   \n",
       "1585              11.0                10.0       None     pupper  2016      1   \n",
       "1588              12.0                10.0       None     pupper  2015     12   \n",
       "1598              12.0                10.0     Maggie     pupper  2016      7   \n",
       "1615              13.0                10.0       None      puppo  2017      5   \n",
       "1617              13.0                10.0     Stuart      puppo  2017      7   \n",
       "\n",
       "      day  rating                                            jpg_url  \\\n",
       "8      20    10.0    https://pbs.twimg.com/media/CUOL0uGUkAAx7yh.jpg   \n",
       "30     18    12.0    https://pbs.twimg.com/media/CUHREBXXAAE6A9b.jpg   \n",
       "37     19    11.0    https://pbs.twimg.com/media/CUI6uuaW4AAvCIs.jpg   \n",
       "43     19    10.0    https://pbs.twimg.com/media/CUJPNjOWsAAZRqP.jpg   \n",
       "46     19     9.0    https://pbs.twimg.com/media/CUJppKJWoAA75NP.jpg   \n",
       "62     22    11.0    https://pbs.twimg.com/media/CUY60usWoAAdBxx.jpg   \n",
       "76     16    10.0    https://pbs.twimg.com/media/CT9Vn7PWoAA_ZCM.jpg   \n",
       "78     16    10.0    https://pbs.twimg.com/media/CT5Vg_wXIAAXfnj.jpg   \n",
       "94     16     9.0    https://pbs.twimg.com/media/CT5PY90WoAAQGLo.jpg   \n",
       "110    18    13.0    https://pbs.twimg.com/media/DCnll_dUQAAkBdG.jpg   \n",
       "128    22    13.0    https://pbs.twimg.com/media/DFWra-3VYAA2piG.jpg   \n",
       "141    23    12.0    https://pbs.twimg.com/media/DFYRgsOUQAARGhO.jpg   \n",
       "150    29    12.0    https://pbs.twimg.com/media/DDgK-J4XUAIEV9W.jpg   \n",
       "154     4    13.0    https://pbs.twimg.com/media/DD2oCl2WAAEI_4a.jpg   \n",
       "155     4    13.0    https://pbs.twimg.com/media/DD5yKdPW0AArzX8.jpg   \n",
       "158     7    13.0    https://pbs.twimg.com/media/DEF2-_hXoAAs62q.jpg   \n",
       "159     8    13.5    https://pbs.twimg.com/media/DELC9dZXUAADqUk.jpg   \n",
       "170    23    13.0    https://pbs.twimg.com/media/CZX8nyeVAAEstKM.jpg   \n",
       "171    23    11.0    https://pbs.twimg.com/media/CZbIIM-WkAIPClg.jpg   \n",
       "185    28    12.0    https://pbs.twimg.com/media/CZx_wV2UMAArgsJ.jpg   \n",
       "257     5    11.0    https://pbs.twimg.com/media/CX7br3HWsAAQ9L1.jpg   \n",
       "262     2    12.0    https://pbs.twimg.com/media/CXrawAhWkAAWSxC.jpg   \n",
       "294    16    12.0    https://pbs.twimg.com/media/CY2iwGNWUAI5zWi.jpg   \n",
       "332    27    11.0    https://pbs.twimg.com/media/CehIzzZWQAEyHH5.jpg   \n",
       "344    13    10.0    https://pbs.twimg.com/media/CdYzwuYUIAAHPkB.jpg   \n",
       "354    15    12.0    https://pbs.twimg.com/media/CdjaSFCWAAAJZh3.jpg   \n",
       "370    10    10.0    https://pbs.twimg.com/media/CfpNGTHUIAAA8XC.jpg   \n",
       "372    11    10.0    https://pbs.twimg.com/media/Cfuba6NW4AIeMHk.jpg   \n",
       "385    23    10.0    https://pbs.twimg.com/media/CgsA5eFWgAAu0qn.jpg   \n",
       "398    31    12.0    https://pbs.twimg.com/media/Ce6b4MPWwAA22Xm.jpg   \n",
       "...   ...     ...                                                ...   \n",
       "1376   28    13.0    https://pbs.twimg.com/media/C79sB4xXwAEvwKY.jpg   \n",
       "1381   23    13.0    https://pbs.twimg.com/media/C5UAqgyXAAAbMWH.jpg   \n",
       "1382   12    10.0    https://pbs.twimg.com/media/Cf3sH62VAAA-LiP.jpg   \n",
       "1391    2    11.0    https://pbs.twimg.com/media/CfAHv83UMAIEQYx.jpg   \n",
       "1393    7    13.0  https://pbs.twimg.com/ext_tw_video_thumb/79546...   \n",
       "1395   13    13.0    https://pbs.twimg.com/media/Cum5LlfWAAAyPcS.jpg   \n",
       "1403    3    11.0    https://pbs.twimg.com/media/CtzgXgeXYAA1Gxw.jpg   \n",
       "1418    1    13.0    https://pbs.twimg.com/media/C-s5oYZXkAAMHHq.jpg   \n",
       "1419   18    13.0    https://pbs.twimg.com/media/C2d_vnHWEAE9phX.jpg   \n",
       "1429   20    12.0    https://pbs.twimg.com/media/CxuM3oZW8AEhO5z.jpg   \n",
       "1443   25    10.0    https://pbs.twimg.com/media/Cg2bKLAWwAA0WEm.jpg   \n",
       "1479   19    12.0    https://pbs.twimg.com/media/CWnznDTU4AAa-6P.jpg   \n",
       "1481   14    11.0    https://pbs.twimg.com/media/CWNOdIpWoAAWid2.jpg   \n",
       "1498   24    11.0    https://pbs.twimg.com/media/CW-loUBWYAAn2Cb.jpg   \n",
       "1522   12    12.0    https://pbs.twimg.com/media/Czb4iFRXgAIUMiN.jpg   \n",
       "1524   10    14.0    https://pbs.twimg.com/media/CzU_YVGUUAA3Xsd.jpg   \n",
       "1535    8    12.0  https://pbs.twimg.com/ext_tw_video_thumb/75145...   \n",
       "1537   17    11.0    https://pbs.twimg.com/media/CbYyCMcWIAAHHjF.jpg   \n",
       "1540   16    12.0    https://pbs.twimg.com/media/CbTj--1XEAIZjc_.jpg   \n",
       "1541    6     8.0    https://pbs.twimg.com/media/CVgGc9hWIAIe1bn.jpg   \n",
       "1551   18    10.0    https://pbs.twimg.com/media/CbdpBmLUYAY9SgQ.jpg   \n",
       "1553    4    12.0    https://pbs.twimg.com/media/CVWicBbUYAIomjC.jpg   \n",
       "1573   23    12.0    https://pbs.twimg.com/media/CoEwMXeWEAAaIz5.jpg   \n",
       "1579    4    12.0    https://pbs.twimg.com/media/C6CI_jbVAAA3-a1.jpg   \n",
       "1584   16    11.0    https://pbs.twimg.com/media/Cp8k6oRWcAUL78U.jpg   \n",
       "1585   30    11.0    https://pbs.twimg.com/media/CZ724fDUYAAytS-.jpg   \n",
       "1588   12    12.0  https://pbs.twimg.com/ext_tw_video_thumb/67574...   \n",
       "1598   31    12.0    https://pbs.twimg.com/media/CotUFZEWcAA2Pku.jpg   \n",
       "1615    3    13.0    https://pbs.twimg.com/media/C-3wvtxXcAUTuBE.jpg   \n",
       "1617   24    13.0    https://pbs.twimg.com/media/DFg_2PVW0AEHN3p.jpg   \n",
       "\n",
       "              dog_type confidence_list  favorite_count  retweet_count  \\\n",
       "8     golden_retriever        0.633037           488.0          254.0   \n",
       "30    golden_retriever        0.765266           191.0           51.0   \n",
       "37    golden_retriever        0.471351           262.0           65.0   \n",
       "43    golden_retriever        0.949892         14751.0         6460.0   \n",
       "46    golden_retriever        0.462556           505.0          250.0   \n",
       "62    golden_retriever        0.215944           524.0          144.0   \n",
       "76    golden_retriever        0.858744           300.0          140.0   \n",
       "78    golden_retriever         0.77593           479.0          223.0   \n",
       "94    golden_retriever      0.00795896           298.0          141.0   \n",
       "110   golden_retriever        0.874566         18816.0         2434.0   \n",
       "128   golden_retriever         0.46976         25622.0         4383.0   \n",
       "141   golden_retriever        0.714719         29120.0         4538.0   \n",
       "150   golden_retriever        0.913255         28572.0         6354.0   \n",
       "154   golden_retriever      0.00694063         29407.0         5038.0   \n",
       "155   golden_retriever        0.762211         45039.0        11723.0   \n",
       "158   golden_retriever        0.949562         37270.0         6741.0   \n",
       "159   golden_retriever        0.943082         46019.0        10054.0   \n",
       "170   golden_retriever        0.883229          4043.0         1406.0   \n",
       "171   golden_retriever        0.862964          3832.0         1381.0   \n",
       "185   golden_retriever        0.636845          4648.0         1682.0   \n",
       "257   golden_retriever        0.203249          1329.0          232.0   \n",
       "262   golden_retriever        0.889848          2320.0          717.0   \n",
       "294   golden_retriever        0.900437          9979.0         4893.0   \n",
       "332   golden_retriever        0.371816          3017.0          811.0   \n",
       "344   golden_retriever        0.976139         17648.0         7617.0   \n",
       "354   golden_retriever        0.790026          3506.0         1163.0   \n",
       "370   golden_retriever        0.140394          3721.0         1200.0   \n",
       "372   golden_retriever        0.765778          4708.0         1360.0   \n",
       "385   golden_retriever         0.83939          3231.0          974.0   \n",
       "398   golden_retriever        0.990715          4612.0         1772.0   \n",
       "...                ...             ...             ...            ...   \n",
       "1376  golden_retriever        0.650003         47329.0        12630.0   \n",
       "1381  golden_retriever        0.226564         14706.0         2802.0   \n",
       "1382  golden_retriever        0.605304          5161.0         1912.0   \n",
       "1391  golden_retriever        0.638625          5217.0         1901.0   \n",
       "1393  golden_retriever        0.193082         54601.0        26932.0   \n",
       "1395  golden_retriever        0.929266         11930.0         3957.0   \n",
       "1403  golden_retriever        0.560699          8148.0         1568.0   \n",
       "1418  golden_retriever         0.57812         16005.0         3650.0   \n",
       "1419  golden_retriever        0.980071          9150.0         1864.0   \n",
       "1429  golden_retriever         0.35986         12209.0         3160.0   \n",
       "1443  golden_retriever        0.240695          5672.0         1799.0   \n",
       "1479  golden_retriever        0.853284          1840.0          590.0   \n",
       "1481  golden_retriever        0.790386         12339.0         5079.0   \n",
       "1498  golden_retriever        0.698961          3814.0         1507.0   \n",
       "1522  golden_retriever        0.426183          9523.0         2460.0   \n",
       "1524  golden_retriever        0.873233         15935.0         4153.0   \n",
       "1535  golden_retriever        0.714409          3464.0         1096.0   \n",
       "1537  golden_retriever        0.808978          3266.0         1056.0   \n",
       "1540  golden_retriever        0.836572          2327.0          558.0   \n",
       "1541  golden_retriever        0.889241          7841.0         3377.0   \n",
       "1551  golden_retriever         0.53246          8087.0         3027.0   \n",
       "1553  golden_retriever        0.952773          1344.0          523.0   \n",
       "1573  golden_retriever        0.790371          7197.0         2226.0   \n",
       "1579  golden_retriever        0.887625         36573.0         8681.0   \n",
       "1584  golden_retriever        0.829456          7692.0         2406.0   \n",
       "1585  golden_retriever        0.989333          2392.0          548.0   \n",
       "1588  golden_retriever        0.800495          1224.0          373.0   \n",
       "1598  golden_retriever        0.985876          6468.0         2121.0   \n",
       "1615  golden_retriever        0.895529         19114.0         1653.0   \n",
       "1617  golden_retriever        0.953442         15119.0         2254.0   \n",
       "\n",
       "      followers_count  friends_count              source retweeted_status  \\\n",
       "8           6829270.0          103.0  Twitter Web Client   Original tweet   \n",
       "30          6829275.0          103.0  Twitter for iPhone   Original tweet   \n",
       "37          6829274.0          103.0  Twitter for iPhone   Original tweet   \n",
       "43          6829272.0          103.0  Twitter for iPhone   Original tweet   \n",
       "46          6829272.0          103.0  Twitter for iPhone   Original tweet   \n",
       "62          6829266.0          103.0  Twitter for iPhone   Original tweet   \n",
       "76          6829278.0          103.0  Twitter for iPhone   Original tweet   \n",
       "78          6829279.0          103.0  Twitter for iPhone   Original tweet   \n",
       "94          6829279.0          103.0  Twitter for iPhone   Original tweet   \n",
       "110         6829012.0          103.0  Twitter for iPhone   Original tweet   \n",
       "128         6829011.0          103.0  Twitter for iPhone   Original tweet   \n",
       "141         6829011.0          103.0  Twitter for iPhone   Original tweet   \n",
       "150         6829011.0          103.0  Twitter for iPhone   Original tweet   \n",
       "154         6829011.0          103.0  Twitter for iPhone   Original tweet   \n",
       "155         6829011.0          103.0  Twitter for iPhone   Original tweet   \n",
       "158         6829011.0          103.0  Twitter for iPhone   Original tweet   \n",
       "159         6829011.0          103.0  Twitter for iPhone   Original tweet   \n",
       "170         6829194.0          103.0  Twitter for iPhone   Original tweet   \n",
       "171         6829194.0          103.0  Twitter for iPhone   Original tweet   \n",
       "185         6829193.0          103.0  Twitter for iPhone   Original tweet   \n",
       "257         6829208.0          103.0  Twitter for iPhone   Original tweet   \n",
       "262         6829209.0          103.0  Twitter for iPhone   Original tweet   \n",
       "294         6829197.0          103.0  Twitter for iPhone   Original tweet   \n",
       "332         6829172.0          103.0  Twitter for iPhone   Original tweet   \n",
       "344         6829179.0          103.0  Twitter for iPhone   Original tweet   \n",
       "354         6829179.0          103.0  Twitter for iPhone   Original tweet   \n",
       "370         6829171.0          103.0  Twitter for iPhone   Original tweet   \n",
       "372         6829171.0          103.0  Twitter for iPhone   Original tweet   \n",
       "385         6829170.0          103.0  Twitter for iPhone   Original tweet   \n",
       "398         6829172.0          103.0  Twitter for iPhone   Original tweet   \n",
       "...               ...            ...                 ...              ...   \n",
       "1376        6829016.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1381        6829020.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1382        6829169.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1391        6829172.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1393        6829029.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1395        6829034.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1403        6829034.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1418        6829012.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1419        6829022.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1429        6829029.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1443        6829170.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1479        6829221.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1481        6829244.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1498        6829218.0          103.0           TweetDeck   Original tweet   \n",
       "1522        6829027.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1524        6829027.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1535        6829151.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1537        6829186.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1540        6829186.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1541        6829256.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1551        6829185.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1553        6829257.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1573        6829148.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1579        6829020.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1584        6829040.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1585        6829193.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1588        6829246.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1598        6829040.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1615        6829012.0          103.0  Twitter for iPhone   Original tweet   \n",
       "1617        6829011.0          103.0  Twitter for iPhone   Original tweet   \n",
       "\n",
       "                          url  \n",
       "8     https://t.co/xoRWyQTcmy  \n",
       "30    https://t.co/QZAnwgnOMB  \n",
       "37    https://t.co/DKhgkMx4N1  \n",
       "43    https://t.co/s2yYuHabWl  \n",
       "46    https://t.co/azEoGqVonH  \n",
       "62    https://t.co/C8U6cxI1Jc  \n",
       "76    https://t.co/VFKG1vxGjB  \n",
       "78    https://t.co/RhUEAloehK  \n",
       "94    https://t.co/yWBqbrzy8O  \n",
       "110   https://t.co/ccBFQU5UWO  \n",
       "128   https://t.co/L5cCoR2huQ  \n",
       "141   https://t.co/chxruIOUJN  \n",
       "150   https://t.co/4VsFysDmiw  \n",
       "154   https://t.co/cj0lK9TLUv  \n",
       "155   https://t.co/fYP5RlutfA  \n",
       "158   https://t.co/Se5fZ9wp5E  \n",
       "159   https://t.co/qjrljjt948  \n",
       "170   https://t.co/YrhkrTsoTt  \n",
       "171   https://t.co/DgXYBDMM3E  \n",
       "185   https://t.co/CFMjsn3P6B  \n",
       "257   https://t.co/kRK51Y5ac3  \n",
       "262   https://t.co/UOPdXmUz4H  \n",
       "294   https://t.co/vz2DukO0th  \n",
       "332   https://t.co/mpvaVxKmc1  \n",
       "344   https://t.co/2KcuJXL2r4  \n",
       "354   https://t.co/ijJB0DuOIC  \n",
       "370   https://t.co/JRckDkZVRT  \n",
       "372   https://t.co/HW50zkcf2R  \n",
       "385   https://t.co/Dz6MiVssVU  \n",
       "398   https://t.co/sSugyyRuTp  \n",
       "...                       ...  \n",
       "1376  https://t.co/SIh5iOUSQh  \n",
       "1381  https://t.co/UtEVnQ1ZPg  \n",
       "1382  https://t.co/mvnBGaWULV  \n",
       "1391  https://t.co/UACnoyi8zu  \n",
       "1393  https://t.co/gBUDjdEcqz  \n",
       "1395  https://t.co/TVXpEJB7Wn  \n",
       "1403  https://t.co/C6fUMnHt1H  \n",
       "1418  https://t.co/A1s7QG7tqa  \n",
       "1419  https://t.co/maDNMETA52  \n",
       "1429  https://t.co/azMneS6Ly5  \n",
       "1443  https://t.co/nRUaKWnJfH  \n",
       "1479  https://t.co/cSp6w5GWgm  \n",
       "1481  https://t.co/tAmQYvzrau  \n",
       "1498  https://t.co/lvMYbmKq8H  \n",
       "1522  https://t.co/7nJXFt8Ggy  \n",
       "1524  https://t.co/gJQnfSziJE  \n",
       "1535  https://t.co/lsVAMBq6ex  \n",
       "1537  https://t.co/qI8yvqKG02  \n",
       "1540  https://t.co/hTE2PEwGvi  \n",
       "1541  https://t.co/U36HYQIijg  \n",
       "1551  https://t.co/Fbdr5orUrJ  \n",
       "1553  https://t.co/Cv7dRdcMvQ  \n",
       "1573  https://t.co/KGdeHuFJnH  \n",
       "1579  https://t.co/ORiK6jlgdH  \n",
       "1584  https://t.co/w2qDmoTIZ5  \n",
       "1585  https://t.co/DYUsHtL2aR  \n",
       "1588  https://t.co/AUJi8ujxw9  \n",
       "1598  https://t.co/MYwR4DQKll  \n",
       "1615  https://t.co/GL6vzAbHrv  \n",
       "1617  https://t.co/Ya3bdfYuCx  \n",
       "\n",
       "[142 rows x 20 columns]"
      ]
     },
     "execution_count": 288,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_twitter[df_twitter['dog_type'] == 'golden_retriever']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='three'></a>\n",
    "### Insight three & visualization\n",
    "\n",
    "Dog_types with low number of ratings show a high variaty of mean ratings. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 289,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "        vertical-align: top;\n",
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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>text</th>\n",
       "      <th>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "      <th>name</th>\n",
       "      <th>dogs_stage</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>rating</th>\n",
       "      <th>jpg_url</th>\n",
       "      <th>confidence_list</th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>followers_count</th>\n",
       "      <th>friends_count</th>\n",
       "      <th>source</th>\n",
       "      <th>retweeted_status</th>\n",
       "      <th>url</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dog_type</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghan_hound</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Airedale</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American_Staffordshire_terrier</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Appenzeller</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australian_terrier</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bedlington_terrier</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bernese_mountain_dog</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blenheim_spaniel</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Border_collie</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Border_terrier</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Boston_bull</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bouvier_des_Flandres</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brabancon_griffon</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brittany_spaniel</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cardigan</th>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chesapeake_Bay_retriever</th>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chihuahua</th>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dandie_Dinmont</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Doberman</th>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>English_setter</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>English_springer</th>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EntleBucher</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eskimo_dog</th>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>French_bulldog</th>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>German_shepherd</th>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>German_short-haired_pointer</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gordon_setter</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Great_Dane</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Great_Pyrenees</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Greater_Swiss_Mountain_dog</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cocker_spaniel</th>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>collie</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>curly-coated_retriever</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dalmatian</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>flat-coated_retriever</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>giant_schnauzer</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>golden_retriever</th>\n",
       "      <td>142</td>\n",
       "      <td>142</td>\n",
       "      <td>142</td>\n",
       "      <td>142</td>\n",
       "      <td>142</td>\n",
       "      <td>142</td>\n",
       "      <td>142</td>\n",
       "      <td>142</td>\n",
       "      <td>142</td>\n",
       "      <td>142</td>\n",
       "      <td>142</td>\n",
       "      <td>142</td>\n",
       "      <td>142</td>\n",
       "      <td>142</td>\n",
       "      <td>142</td>\n",
       "      <td>142</td>\n",
       "      <td>142</td>\n",
       "      <td>142</td>\n",
       "      <td>142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>groenendael</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>keeshond</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kelpie</th>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>komondor</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kuvasz</th>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>malamute</th>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>malinois</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>miniature_pinscher</th>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>miniature_poodle</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>miniature_schnauzer</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>papillon</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pug</th>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>redbone</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>schipperke</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>silky_terrier</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>soft-coated_wheaten_terrier</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>standard_poodle</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>standard_schnauzer</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>toy_poodle</th>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>toy_terrier</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vizsla</th>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>whippet</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wire-haired_fox_terrier</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>113 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                tweet_id  text  rating_numerator  \\\n",
       "dog_type                                                           \n",
       "Afghan_hound                           2     2                 2   \n",
       "Airedale                              12    12                12   \n",
       "American_Staffordshire_terrier        16    16                16   \n",
       "Appenzeller                            2     2                 2   \n",
       "Australian_terrier                     2     2                 2   \n",
       "Bedlington_terrier                     6     6                 6   \n",
       "Bernese_mountain_dog                  11    11                11   \n",
       "Blenheim_spaniel                      10    10                10   \n",
       "Border_collie                         12    12                12   \n",
       "Border_terrier                         7     7                 7   \n",
       "Boston_bull                           12    12                12   \n",
       "Bouvier_des_Flandres                   1     1                 1   \n",
       "Brabancon_griffon                      3     3                 3   \n",
       "Brittany_spaniel                       8     8                 8   \n",
       "Cardigan                              19    19                19   \n",
       "Chesapeake_Bay_retriever              31    31                31   \n",
       "Chihuahua                             87    87                87   \n",
       "Dandie_Dinmont                         7     7                 7   \n",
       "Doberman                               9     9                 9   \n",
       "English_setter                         7     7                 7   \n",
       "English_springer                       9     9                 9   \n",
       "EntleBucher                            1     1                 1   \n",
       "Eskimo_dog                            22    22                22   \n",
       "French_bulldog                        30    30                30   \n",
       "German_shepherd                       21    21                21   \n",
       "German_short-haired_pointer            8     8                 8   \n",
       "Gordon_setter                          4     4                 4   \n",
       "Great_Dane                            11    11                11   \n",
       "Great_Pyrenees                        15    15                15   \n",
       "Greater_Swiss_Mountain_dog             3     3                 3   \n",
       "...                                  ...   ...               ...   \n",
       "cocker_spaniel                        26    26                26   \n",
       "collie                                11    11                11   \n",
       "curly-coated_retriever                 3     3                 3   \n",
       "dalmatian                             11    11                11   \n",
       "flat-coated_retriever                  8     8                 8   \n",
       "giant_schnauzer                        4     4                 4   \n",
       "golden_retriever                     142   142               142   \n",
       "groenendael                            2     2                 2   \n",
       "keeshond                               4     4                 4   \n",
       "kelpie                                13    13                13   \n",
       "komondor                               3     3                 3   \n",
       "kuvasz                                18    18                18   \n",
       "malamute                              32    32                32   \n",
       "malinois                              11    11                11   \n",
       "miniature_pinscher                    24    24                24   \n",
       "miniature_poodle                       8     8                 8   \n",
       "miniature_schnauzer                    5     5                 5   \n",
       "papillon                               6     6                 6   \n",
       "pug                                   60    60                60   \n",
       "redbone                                6     6                 6   \n",
       "schipperke                            11    11                11   \n",
       "silky_terrier                          1     1                 1   \n",
       "soft-coated_wheaten_terrier           15    15                15   \n",
       "standard_poodle                       10    10                10   \n",
       "standard_schnauzer                     1     1                 1   \n",
       "toy_poodle                            50    50                50   \n",
       "toy_terrier                            3     3                 3   \n",
       "vizsla                                13    13                13   \n",
       "whippet                               11    11                11   \n",
       "wire-haired_fox_terrier                2     2                 2   \n",
       "\n",
       "                                rating_denominator  name  dogs_stage  year  \\\n",
       "dog_type                                                                     \n",
       "Afghan_hound                                     2     2           2     2   \n",
       "Airedale                                        12    12          12    12   \n",
       "American_Staffordshire_terrier                  16    16          16    16   \n",
       "Appenzeller                                      2     2           2     2   \n",
       "Australian_terrier                               2     2           2     2   \n",
       "Bedlington_terrier                               6     6           6     6   \n",
       "Bernese_mountain_dog                            11    11          11    11   \n",
       "Blenheim_spaniel                                10    10          10    10   \n",
       "Border_collie                                   12    12          12    12   \n",
       "Border_terrier                                   7     7           7     7   \n",
       "Boston_bull                                     12    12          12    12   \n",
       "Bouvier_des_Flandres                             1     1           1     1   \n",
       "Brabancon_griffon                                3     3           3     3   \n",
       "Brittany_spaniel                                 8     8           8     8   \n",
       "Cardigan                                        19    19          19    19   \n",
       "Chesapeake_Bay_retriever                        31    31          31    31   \n",
       "Chihuahua                                       87    87          87    87   \n",
       "Dandie_Dinmont                                   7     7           7     7   \n",
       "Doberman                                         9     9           9     9   \n",
       "English_setter                                   7     7           7     7   \n",
       "English_springer                                 9     9           9     9   \n",
       "EntleBucher                                      1     1           1     1   \n",
       "Eskimo_dog                                      22    22          22    22   \n",
       "French_bulldog                                  30    30          30    30   \n",
       "German_shepherd                                 21    21          21    21   \n",
       "German_short-haired_pointer                      8     8           8     8   \n",
       "Gordon_setter                                    4     4           4     4   \n",
       "Great_Dane                                      11    11          11    11   \n",
       "Great_Pyrenees                                  15    15          15    15   \n",
       "Greater_Swiss_Mountain_dog                       3     3           3     3   \n",
       "...                                            ...   ...         ...   ...   \n",
       "cocker_spaniel                                  26    26          26    26   \n",
       "collie                                          11    11          11    11   \n",
       "curly-coated_retriever                           3     3           3     3   \n",
       "dalmatian                                       11    11          11    11   \n",
       "flat-coated_retriever                            8     8           8     8   \n",
       "giant_schnauzer                                  4     4           4     4   \n",
       "golden_retriever                               142   142         142   142   \n",
       "groenendael                                      2     2           2     2   \n",
       "keeshond                                         4     4           4     4   \n",
       "kelpie                                          13    13          13    13   \n",
       "komondor                                         3     3           3     3   \n",
       "kuvasz                                          18    18          18    18   \n",
       "malamute                                        32    32          32    32   \n",
       "malinois                                        11    11          11    11   \n",
       "miniature_pinscher                              24    24          24    24   \n",
       "miniature_poodle                                 8     8           8     8   \n",
       "miniature_schnauzer                              5     5           5     5   \n",
       "papillon                                         6     6           6     6   \n",
       "pug                                             60    60          60    60   \n",
       "redbone                                          6     6           6     6   \n",
       "schipperke                                      11    11          11    11   \n",
       "silky_terrier                                    1     1           1     1   \n",
       "soft-coated_wheaten_terrier                     15    15          15    15   \n",
       "standard_poodle                                 10    10          10    10   \n",
       "standard_schnauzer                               1     1           1     1   \n",
       "toy_poodle                                      50    50          50    50   \n",
       "toy_terrier                                      3     3           3     3   \n",
       "vizsla                                          13    13          13    13   \n",
       "whippet                                         11    11          11    11   \n",
       "wire-haired_fox_terrier                          2     2           2     2   \n",
       "\n",
       "                                month  day  rating  jpg_url  confidence_list  \\\n",
       "dog_type                                                                       \n",
       "Afghan_hound                        2    2       2        2                2   \n",
       "Airedale                           12   12      12       12               12   \n",
       "American_Staffordshire_terrier     16   16      16       16               16   \n",
       "Appenzeller                         2    2       2        2                2   \n",
       "Australian_terrier                  2    2       2        2                2   \n",
       "Bedlington_terrier                  6    6       6        6                6   \n",
       "Bernese_mountain_dog               11   11      11       11               11   \n",
       "Blenheim_spaniel                   10   10      10       10               10   \n",
       "Border_collie                      12   12      12       12               12   \n",
       "Border_terrier                      7    7       7        7                7   \n",
       "Boston_bull                        12   12      12       12               12   \n",
       "Bouvier_des_Flandres                1    1       1        1                1   \n",
       "Brabancon_griffon                   3    3       3        3                3   \n",
       "Brittany_spaniel                    8    8       8        8                8   \n",
       "Cardigan                           19   19      19       19               19   \n",
       "Chesapeake_Bay_retriever           31   31      31       31               31   \n",
       "Chihuahua                          87   87      87       87               87   \n",
       "Dandie_Dinmont                      7    7       7        7                7   \n",
       "Doberman                            9    9       9        9                9   \n",
       "English_setter                      7    7       7        7                7   \n",
       "English_springer                    9    9       9        9                9   \n",
       "EntleBucher                         1    1       1        1                1   \n",
       "Eskimo_dog                         22   22      22       22               22   \n",
       "French_bulldog                     30   30      30       30               30   \n",
       "German_shepherd                    21   21      21       21               21   \n",
       "German_short-haired_pointer         8    8       8        8                8   \n",
       "Gordon_setter                       4    4       4        4                4   \n",
       "Great_Dane                         11   11      11       11               11   \n",
       "Great_Pyrenees                     15   15      15       15               15   \n",
       "Greater_Swiss_Mountain_dog          3    3       3        3                3   \n",
       "...                               ...  ...     ...      ...              ...   \n",
       "cocker_spaniel                     26   26      26       26               26   \n",
       "collie                             11   11      11       11               11   \n",
       "curly-coated_retriever              3    3       3        3                3   \n",
       "dalmatian                          11   11      11       11               11   \n",
       "flat-coated_retriever               8    8       8        8                8   \n",
       "giant_schnauzer                     4    4       4        4                4   \n",
       "golden_retriever                  142  142     142      142              142   \n",
       "groenendael                         2    2       2        2                2   \n",
       "keeshond                            4    4       4        4                4   \n",
       "kelpie                             13   13      13       13               13   \n",
       "komondor                            3    3       3        3                3   \n",
       "kuvasz                             18   18      18       18               18   \n",
       "malamute                           32   32      32       32               32   \n",
       "malinois                           11   11      11       11               11   \n",
       "miniature_pinscher                 24   24      24       24               24   \n",
       "miniature_poodle                    8    8       8        8                8   \n",
       "miniature_schnauzer                 5    5       5        5                5   \n",
       "papillon                            6    6       6        6                6   \n",
       "pug                                60   60      60       60               60   \n",
       "redbone                             6    6       6        6                6   \n",
       "schipperke                         11   11      11       11               11   \n",
       "silky_terrier                       1    1       1        1                1   \n",
       "soft-coated_wheaten_terrier        15   15      15       15               15   \n",
       "standard_poodle                    10   10      10       10               10   \n",
       "standard_schnauzer                  1    1       1        1                1   \n",
       "toy_poodle                         50   50      50       50               50   \n",
       "toy_terrier                         3    3       3        3                3   \n",
       "vizsla                             13   13      13       13               13   \n",
       "whippet                            11   11      11       11               11   \n",
       "wire-haired_fox_terrier             2    2       2        2                2   \n",
       "\n",
       "                                favorite_count  retweet_count  \\\n",
       "dog_type                                                        \n",
       "Afghan_hound                                 2              2   \n",
       "Airedale                                    12             12   \n",
       "American_Staffordshire_terrier              16             16   \n",
       "Appenzeller                                  2              2   \n",
       "Australian_terrier                           2              2   \n",
       "Bedlington_terrier                           6              6   \n",
       "Bernese_mountain_dog                        11             11   \n",
       "Blenheim_spaniel                            10             10   \n",
       "Border_collie                               12             12   \n",
       "Border_terrier                               7              7   \n",
       "Boston_bull                                 12             12   \n",
       "Bouvier_des_Flandres                         1              1   \n",
       "Brabancon_griffon                            3              3   \n",
       "Brittany_spaniel                             8              8   \n",
       "Cardigan                                    19             19   \n",
       "Chesapeake_Bay_retriever                    31             31   \n",
       "Chihuahua                                   87             87   \n",
       "Dandie_Dinmont                               7              7   \n",
       "Doberman                                     9              9   \n",
       "English_setter                               7              7   \n",
       "English_springer                             9              9   \n",
       "EntleBucher                                  1              1   \n",
       "Eskimo_dog                                  22             22   \n",
       "French_bulldog                              30             30   \n",
       "German_shepherd                             21             21   \n",
       "German_short-haired_pointer                  8              8   \n",
       "Gordon_setter                                4              4   \n",
       "Great_Dane                                  11             11   \n",
       "Great_Pyrenees                              15             15   \n",
       "Greater_Swiss_Mountain_dog                   3              3   \n",
       "...                                        ...            ...   \n",
       "cocker_spaniel                              26             26   \n",
       "collie                                      11             11   \n",
       "curly-coated_retriever                       3              3   \n",
       "dalmatian                                   11             11   \n",
       "flat-coated_retriever                        8              8   \n",
       "giant_schnauzer                              4              4   \n",
       "golden_retriever                           142            142   \n",
       "groenendael                                  2              2   \n",
       "keeshond                                     4              4   \n",
       "kelpie                                      13             13   \n",
       "komondor                                     3              3   \n",
       "kuvasz                                      18             18   \n",
       "malamute                                    32             32   \n",
       "malinois                                    11             11   \n",
       "miniature_pinscher                          24             24   \n",
       "miniature_poodle                             8              8   \n",
       "miniature_schnauzer                          5              5   \n",
       "papillon                                     6              6   \n",
       "pug                                         60             60   \n",
       "redbone                                      6              6   \n",
       "schipperke                                  11             11   \n",
       "silky_terrier                                1              1   \n",
       "soft-coated_wheaten_terrier                 15             15   \n",
       "standard_poodle                             10             10   \n",
       "standard_schnauzer                           1              1   \n",
       "toy_poodle                                  50             50   \n",
       "toy_terrier                                  3              3   \n",
       "vizsla                                      13             13   \n",
       "whippet                                     11             11   \n",
       "wire-haired_fox_terrier                      2              2   \n",
       "\n",
       "                                followers_count  friends_count  source  \\\n",
       "dog_type                                                                 \n",
       "Afghan_hound                                  2              2       2   \n",
       "Airedale                                     12             12      12   \n",
       "American_Staffordshire_terrier               16             16      16   \n",
       "Appenzeller                                   2              2       2   \n",
       "Australian_terrier                            2              2       2   \n",
       "Bedlington_terrier                            6              6       6   \n",
       "Bernese_mountain_dog                         11             11      11   \n",
       "Blenheim_spaniel                             10             10      10   \n",
       "Border_collie                                12             12      12   \n",
       "Border_terrier                                7              7       7   \n",
       "Boston_bull                                  12             12      12   \n",
       "Bouvier_des_Flandres                          1              1       1   \n",
       "Brabancon_griffon                             3              3       3   \n",
       "Brittany_spaniel                              8              8       8   \n",
       "Cardigan                                     19             19      19   \n",
       "Chesapeake_Bay_retriever                     31             31      31   \n",
       "Chihuahua                                    87             87      87   \n",
       "Dandie_Dinmont                                7              7       7   \n",
       "Doberman                                      9              9       9   \n",
       "English_setter                                7              7       7   \n",
       "English_springer                              9              9       9   \n",
       "EntleBucher                                   1              1       1   \n",
       "Eskimo_dog                                   22             22      22   \n",
       "French_bulldog                               30             30      30   \n",
       "German_shepherd                              21             21      21   \n",
       "German_short-haired_pointer                   8              8       8   \n",
       "Gordon_setter                                 4              4       4   \n",
       "Great_Dane                                   11             11      11   \n",
       "Great_Pyrenees                               15             15      15   \n",
       "Greater_Swiss_Mountain_dog                    3              3       3   \n",
       "...                                         ...            ...     ...   \n",
       "cocker_spaniel                               26             26      26   \n",
       "collie                                       11             11      11   \n",
       "curly-coated_retriever                        3              3       3   \n",
       "dalmatian                                    11             11      11   \n",
       "flat-coated_retriever                         8              8       8   \n",
       "giant_schnauzer                               4              4       4   \n",
       "golden_retriever                            142            142     142   \n",
       "groenendael                                   2              2       2   \n",
       "keeshond                                      4              4       4   \n",
       "kelpie                                       13             13      13   \n",
       "komondor                                      3              3       3   \n",
       "kuvasz                                       18             18      18   \n",
       "malamute                                     32             32      32   \n",
       "malinois                                     11             11      11   \n",
       "miniature_pinscher                           24             24      24   \n",
       "miniature_poodle                              8              8       8   \n",
       "miniature_schnauzer                           5              5       5   \n",
       "papillon                                      6              6       6   \n",
       "pug                                          60             60      60   \n",
       "redbone                                       6              6       6   \n",
       "schipperke                                   11             11      11   \n",
       "silky_terrier                                 1              1       1   \n",
       "soft-coated_wheaten_terrier                  15             15      15   \n",
       "standard_poodle                              10             10      10   \n",
       "standard_schnauzer                            1              1       1   \n",
       "toy_poodle                                   50             50      50   \n",
       "toy_terrier                                   3              3       3   \n",
       "vizsla                                       13             13      13   \n",
       "whippet                                      11             11      11   \n",
       "wire-haired_fox_terrier                       2              2       2   \n",
       "\n",
       "                                retweeted_status  url  \n",
       "dog_type                                               \n",
       "Afghan_hound                                   2    2  \n",
       "Airedale                                      12   12  \n",
       "American_Staffordshire_terrier                16   16  \n",
       "Appenzeller                                    2    2  \n",
       "Australian_terrier                             2    2  \n",
       "Bedlington_terrier                             6    6  \n",
       "Bernese_mountain_dog                          11   11  \n",
       "Blenheim_spaniel                              10   10  \n",
       "Border_collie                                 12   12  \n",
       "Border_terrier                                 7    7  \n",
       "Boston_bull                                   12   12  \n",
       "Bouvier_des_Flandres                           1    1  \n",
       "Brabancon_griffon                              3    3  \n",
       "Brittany_spaniel                               8    8  \n",
       "Cardigan                                      19   19  \n",
       "Chesapeake_Bay_retriever                      31   31  \n",
       "Chihuahua                                     87   87  \n",
       "Dandie_Dinmont                                 7    7  \n",
       "Doberman                                       9    9  \n",
       "English_setter                                 7    7  \n",
       "English_springer                               9    9  \n",
       "EntleBucher                                    1    1  \n",
       "Eskimo_dog                                    22   22  \n",
       "French_bulldog                                30   30  \n",
       "German_shepherd                               21   21  \n",
       "German_short-haired_pointer                    8    8  \n",
       "Gordon_setter                                  4    4  \n",
       "Great_Dane                                    11   11  \n",
       "Great_Pyrenees                                15   15  \n",
       "Greater_Swiss_Mountain_dog                     3    3  \n",
       "...                                          ...  ...  \n",
       "cocker_spaniel                                26   26  \n",
       "collie                                        11   11  \n",
       "curly-coated_retriever                         3    3  \n",
       "dalmatian                                     11   11  \n",
       "flat-coated_retriever                          8    8  \n",
       "giant_schnauzer                                4    4  \n",
       "golden_retriever                             142  142  \n",
       "groenendael                                    2    2  \n",
       "keeshond                                       4    4  \n",
       "kelpie                                        13   13  \n",
       "komondor                                       3    3  \n",
       "kuvasz                                        18   18  \n",
       "malamute                                      32   32  \n",
       "malinois                                      11   11  \n",
       "miniature_pinscher                            24   24  \n",
       "miniature_poodle                               8    8  \n",
       "miniature_schnauzer                            5    5  \n",
       "papillon                                       6    6  \n",
       "pug                                           60   60  \n",
       "redbone                                        6    6  \n",
       "schipperke                                    11   11  \n",
       "silky_terrier                                  1    1  \n",
       "soft-coated_wheaten_terrier                   15   15  \n",
       "standard_poodle                               10   10  \n",
       "standard_schnauzer                             1    1  \n",
       "toy_poodle                                    50   50  \n",
       "toy_terrier                                    3    3  \n",
       "vizsla                                        13   13  \n",
       "whippet                                       11   11  \n",
       "wire-haired_fox_terrier                        2    2  \n",
       "\n",
       "[113 rows x 19 columns]"
      ]
     },
     "execution_count": 289,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_dog_type_count = df_twitter.groupby('dog_type').count()\n",
    "df_dog_type_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 290,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dog_type\n",
       "Afghan_hound                       8.000000\n",
       "Airedale                           9.833333\n",
       "American_Staffordshire_terrier    10.312500\n",
       "Appenzeller                       11.000000\n",
       "Australian_terrier                11.500000\n",
       "Bedlington_terrier                10.333333\n",
       "Bernese_mountain_dog              11.272727\n",
       "Blenheim_spaniel                  11.100000\n",
       "Border_collie                     10.583333\n",
       "Border_terrier                    12.142857\n",
       "Boston_bull                        9.416667\n",
       "Bouvier_des_Flandres              13.000000\n",
       "Brabancon_griffon                 10.000000\n",
       "Brittany_spaniel                  10.375000\n",
       "Cardigan                          11.105263\n",
       "Chesapeake_Bay_retriever          10.838710\n",
       "Chihuahua                         10.448276\n",
       "Dandie_Dinmont                     9.571429\n",
       "Doberman                          11.333333\n",
       "English_setter                     9.714286\n",
       "English_springer                  10.555556\n",
       "EntleBucher                       11.000000\n",
       "Eskimo_dog                        11.409091\n",
       "French_bulldog                    11.100000\n",
       "German_shepherd                   11.000000\n",
       "German_short-haired_pointer       10.500000\n",
       "Gordon_setter                     11.750000\n",
       "Great_Dane                        10.818182\n",
       "Great_Pyrenees                    11.466667\n",
       "Greater_Swiss_Mountain_dog        11.333333\n",
       "                                    ...    \n",
       "cocker_spaniel                    11.153846\n",
       "collie                            10.909091\n",
       "curly-coated_retriever            10.333333\n",
       "dalmatian                          9.272727\n",
       "flat-coated_retriever             10.875000\n",
       "giant_schnauzer                   11.500000\n",
       "golden_retriever                  11.588028\n",
       "groenendael                       10.000000\n",
       "keeshond                          10.250000\n",
       "kelpie                            11.307692\n",
       "komondor                          11.000000\n",
       "kuvasz                            10.792222\n",
       "malamute                          10.875000\n",
       "malinois                          10.818182\n",
       "miniature_pinscher                 9.916667\n",
       "miniature_poodle                   9.875000\n",
       "miniature_schnauzer                9.600000\n",
       "papillon                           9.833333\n",
       "pug                               10.200000\n",
       "redbone                            9.666667\n",
       "schipperke                        10.818182\n",
       "silky_terrier                     12.000000\n",
       "soft-coated_wheaten_terrier        8.800000\n",
       "standard_poodle                   10.400000\n",
       "standard_schnauzer                12.000000\n",
       "toy_poodle                        11.020000\n",
       "toy_terrier                       10.333333\n",
       "vizsla                            10.846154\n",
       "whippet                           10.181818\n",
       "wire-haired_fox_terrier           11.500000\n",
       "Name: rating, Length: 113, dtype: float64"
      ]
     },
     "execution_count": 290,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dog_type_count = df_dog_type_count['rating']\n",
    "dog_type_mean = df_dog_type_mean['rating']\n",
    "dog_type_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "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>dog_type_count</th>\n",
       "      <th>dog_type_mean</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dog_type</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghan_hound</th>\n",
       "      <td>2</td>\n",
       "      <td>8.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Airedale</th>\n",
       "      <td>12</td>\n",
       "      <td>9.833333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American_Staffordshire_terrier</th>\n",
       "      <td>16</td>\n",
       "      <td>10.312500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Appenzeller</th>\n",
       "      <td>2</td>\n",
       "      <td>11.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australian_terrier</th>\n",
       "      <td>2</td>\n",
       "      <td>11.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bedlington_terrier</th>\n",
       "      <td>6</td>\n",
       "      <td>10.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bernese_mountain_dog</th>\n",
       "      <td>11</td>\n",
       "      <td>11.272727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blenheim_spaniel</th>\n",
       "      <td>10</td>\n",
       "      <td>11.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Border_collie</th>\n",
       "      <td>12</td>\n",
       "      <td>10.583333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Border_terrier</th>\n",
       "      <td>7</td>\n",
       "      <td>12.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Boston_bull</th>\n",
       "      <td>12</td>\n",
       "      <td>9.416667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bouvier_des_Flandres</th>\n",
       "      <td>1</td>\n",
       "      <td>13.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brabancon_griffon</th>\n",
       "      <td>3</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brittany_spaniel</th>\n",
       "      <td>8</td>\n",
       "      <td>10.375000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cardigan</th>\n",
       "      <td>19</td>\n",
       "      <td>11.105263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chesapeake_Bay_retriever</th>\n",
       "      <td>31</td>\n",
       "      <td>10.838710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chihuahua</th>\n",
       "      <td>87</td>\n",
       "      <td>10.448276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dandie_Dinmont</th>\n",
       "      <td>7</td>\n",
       "      <td>9.571429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Doberman</th>\n",
       "      <td>9</td>\n",
       "      <td>11.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>English_setter</th>\n",
       "      <td>7</td>\n",
       "      <td>9.714286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>English_springer</th>\n",
       "      <td>9</td>\n",
       "      <td>10.555556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EntleBucher</th>\n",
       "      <td>1</td>\n",
       "      <td>11.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eskimo_dog</th>\n",
       "      <td>22</td>\n",
       "      <td>11.409091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>French_bulldog</th>\n",
       "      <td>30</td>\n",
       "      <td>11.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>German_shepherd</th>\n",
       "      <td>21</td>\n",
       "      <td>11.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>German_short-haired_pointer</th>\n",
       "      <td>8</td>\n",
       "      <td>10.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gordon_setter</th>\n",
       "      <td>4</td>\n",
       "      <td>11.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Great_Dane</th>\n",
       "      <td>11</td>\n",
       "      <td>10.818182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Great_Pyrenees</th>\n",
       "      <td>15</td>\n",
       "      <td>11.466667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Greater_Swiss_Mountain_dog</th>\n",
       "      <td>3</td>\n",
       "      <td>11.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cocker_spaniel</th>\n",
       "      <td>26</td>\n",
       "      <td>11.153846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>collie</th>\n",
       "      <td>11</td>\n",
       "      <td>10.909091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>curly-coated_retriever</th>\n",
       "      <td>3</td>\n",
       "      <td>10.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dalmatian</th>\n",
       "      <td>11</td>\n",
       "      <td>9.272727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>flat-coated_retriever</th>\n",
       "      <td>8</td>\n",
       "      <td>10.875000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>giant_schnauzer</th>\n",
       "      <td>4</td>\n",
       "      <td>11.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>golden_retriever</th>\n",
       "      <td>142</td>\n",
       "      <td>11.588028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>groenendael</th>\n",
       "      <td>2</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>keeshond</th>\n",
       "      <td>4</td>\n",
       "      <td>10.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kelpie</th>\n",
       "      <td>13</td>\n",
       "      <td>11.307692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>komondor</th>\n",
       "      <td>3</td>\n",
       "      <td>11.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kuvasz</th>\n",
       "      <td>18</td>\n",
       "      <td>10.792222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>malamute</th>\n",
       "      <td>32</td>\n",
       "      <td>10.875000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>malinois</th>\n",
       "      <td>11</td>\n",
       "      <td>10.818182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>miniature_pinscher</th>\n",
       "      <td>24</td>\n",
       "      <td>9.916667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>miniature_poodle</th>\n",
       "      <td>8</td>\n",
       "      <td>9.875000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>miniature_schnauzer</th>\n",
       "      <td>5</td>\n",
       "      <td>9.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>papillon</th>\n",
       "      <td>6</td>\n",
       "      <td>9.833333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pug</th>\n",
       "      <td>60</td>\n",
       "      <td>10.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>redbone</th>\n",
       "      <td>6</td>\n",
       "      <td>9.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>schipperke</th>\n",
       "      <td>11</td>\n",
       "      <td>10.818182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>silky_terrier</th>\n",
       "      <td>1</td>\n",
       "      <td>12.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>soft-coated_wheaten_terrier</th>\n",
       "      <td>15</td>\n",
       "      <td>8.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>standard_poodle</th>\n",
       "      <td>10</td>\n",
       "      <td>10.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>standard_schnauzer</th>\n",
       "      <td>1</td>\n",
       "      <td>12.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>toy_poodle</th>\n",
       "      <td>50</td>\n",
       "      <td>11.020000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>toy_terrier</th>\n",
       "      <td>3</td>\n",
       "      <td>10.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vizsla</th>\n",
       "      <td>13</td>\n",
       "      <td>10.846154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>whippet</th>\n",
       "      <td>11</td>\n",
       "      <td>10.181818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wire-haired_fox_terrier</th>\n",
       "      <td>2</td>\n",
       "      <td>11.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>113 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                dog_type_count  dog_type_mean\n",
       "dog_type                                                     \n",
       "Afghan_hound                                 2       8.000000\n",
       "Airedale                                    12       9.833333\n",
       "American_Staffordshire_terrier              16      10.312500\n",
       "Appenzeller                                  2      11.000000\n",
       "Australian_terrier                           2      11.500000\n",
       "Bedlington_terrier                           6      10.333333\n",
       "Bernese_mountain_dog                        11      11.272727\n",
       "Blenheim_spaniel                            10      11.100000\n",
       "Border_collie                               12      10.583333\n",
       "Border_terrier                               7      12.142857\n",
       "Boston_bull                                 12       9.416667\n",
       "Bouvier_des_Flandres                         1      13.000000\n",
       "Brabancon_griffon                            3      10.000000\n",
       "Brittany_spaniel                             8      10.375000\n",
       "Cardigan                                    19      11.105263\n",
       "Chesapeake_Bay_retriever                    31      10.838710\n",
       "Chihuahua                                   87      10.448276\n",
       "Dandie_Dinmont                               7       9.571429\n",
       "Doberman                                     9      11.333333\n",
       "English_setter                               7       9.714286\n",
       "English_springer                             9      10.555556\n",
       "EntleBucher                                  1      11.000000\n",
       "Eskimo_dog                                  22      11.409091\n",
       "French_bulldog                              30      11.100000\n",
       "German_shepherd                             21      11.000000\n",
       "German_short-haired_pointer                  8      10.500000\n",
       "Gordon_setter                                4      11.750000\n",
       "Great_Dane                                  11      10.818182\n",
       "Great_Pyrenees                              15      11.466667\n",
       "Greater_Swiss_Mountain_dog                   3      11.333333\n",
       "...                                        ...            ...\n",
       "cocker_spaniel                              26      11.153846\n",
       "collie                                      11      10.909091\n",
       "curly-coated_retriever                       3      10.333333\n",
       "dalmatian                                   11       9.272727\n",
       "flat-coated_retriever                        8      10.875000\n",
       "giant_schnauzer                              4      11.500000\n",
       "golden_retriever                           142      11.588028\n",
       "groenendael                                  2      10.000000\n",
       "keeshond                                     4      10.250000\n",
       "kelpie                                      13      11.307692\n",
       "komondor                                     3      11.000000\n",
       "kuvasz                                      18      10.792222\n",
       "malamute                                    32      10.875000\n",
       "malinois                                    11      10.818182\n",
       "miniature_pinscher                          24       9.916667\n",
       "miniature_poodle                             8       9.875000\n",
       "miniature_schnauzer                          5       9.600000\n",
       "papillon                                     6       9.833333\n",
       "pug                                         60      10.200000\n",
       "redbone                                      6       9.666667\n",
       "schipperke                                  11      10.818182\n",
       "silky_terrier                                1      12.000000\n",
       "soft-coated_wheaten_terrier                 15       8.800000\n",
       "standard_poodle                             10      10.400000\n",
       "standard_schnauzer                           1      12.000000\n",
       "toy_poodle                                  50      11.020000\n",
       "toy_terrier                                  3      10.333333\n",
       "vizsla                                      13      10.846154\n",
       "whippet                                     11      10.181818\n",
       "wire-haired_fox_terrier                      2      11.500000\n",
       "\n",
       "[113 rows x 2 columns]"
      ]
     },
     "execution_count": 291,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame()\n",
    "df['dog_type_count'] = dog_type_count\n",
    "df['dog_type_mean'] = dog_type_mean\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 292,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x119ce10b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(x='dog_type_count', y='dog_type_mean', kind='scatter')\n",
    "plt.xlabel('Number of Ratings of a Dog Type')\n",
    "plt.ylabel('Average Rating of Dog Type')\n",
    "plt.title('Average Rating of Dog Type by Number of Ratings of a Dog Type Scatter Plot')\n",
    "\n",
    "fig = plt.gcf()\n",
    "#plt.savefig('X:/' + newName + '.png', \n",
    "fig.savefig('output2.png',bbox_inches='tight');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='four'></a>\n",
    "### Insight four & visualization\n",
    "\n",
    "The highest ratings do not receive the most retweets. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 293,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x119a28b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_twitter.plot(x='retweet_count', y='rating', kind='scatter')\n",
    "plt.xlabel('Retweet Counts')\n",
    "plt.ylabel('Ratings')\n",
    "plt.title('Retweet Counts by Ratings Scatter Plot')\n",
    "\n",
    "fig = plt.gcf()\n",
    "fig.savefig('output3.png',bbox_inches='tight');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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