Wrangle_act.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Project_5: Data Wrangling Project"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Gather"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#import numpy, pandas, seaborn, requests, tweepy, json, os, matplotlib, matplotlib inline\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as snb\n",
    "import requests\n",
    "import tweepy\n",
    "import json\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "from timeit import default_timer as timer\n",
    "from IPython.core.display import clear_output"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Twitter_archive_enhanced"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# reading twitter-archive-enhanced file using pandas\n",
    "twitter_archive = pd.read_csv('C:/Users/Okafor Chinelo/Desktop/DAND/Data_Wrangling/Data_Wrangle/twitter-archive-enhanced.csv', sep = ',')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Image_predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# the url to obtain dog images from Udacity server programatically.\n",
    "url = 'https://d17h27t6h515a5.cloudfront.net/topher/2017/August/599fd2ad_image-predictions/image-predictions.tsv'\n",
    "\n",
    "# send get request and save file\n",
    "with open('image_predictions.tsv', mode='wb') as file:\n",
    "    response = requests.get(url)\n",
    "    file.write(response.content)\n",
    "    \n",
    "# read second file\n",
    "dog_predictions = pd.read_csv(\"image_predictions.tsv\", sep='\\t')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Tweet_Json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#create an API object to gather Twitter data\n",
    "consumer_key = 'secret'\n",
    "consumer_secret = 'secret'\n",
    "access_token = 'secret'\n",
    "access_secret = 'secret'\n",
    "\n",
    "auth = tweepy.OAuthHandler(consumer_key, consumer_secret)\n",
    "auth.set_access_token(access_token, access_secret)\n",
    "\n",
    "try:\n",
    "    api = tweepy.API(auth, wait_on_rate_limit=True, wait_on_rate_limit_notify=True)\n",
    "except:\n",
    "    print(\"ERROR\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Tweet IDs for which to gather additional data via Twitter's API\n",
    "tweet_ids = twitter_archive.tweet_id.values\n",
    "\n",
    "# Query Twitter's API for JSON data for each tweet ID in the Twitter archive\n",
    "fails_dict = {}\n",
    "start = timer()\n",
    "# Save each tweet's returned JSON as a new line in a .txt file\n",
    "with open('tweet_json.txt', 'w') as outfile:\n",
    "       for i, tweet_id in enumerate(tweet_ids):\n",
    "        print(f\"{i} : {tweet_id}\")\n",
    "        clear_output(wait = True)\n",
    "        try:\n",
    "            tweet = api.get_status(tweet_id, tweet_mode='extended')\n",
    "            print(\"Success\")\n",
    "            json.dump(tweet._json, outfile)\n",
    "            outfile.write('\\n')\n",
    "        except tweepy.TweepError as e:\n",
    "            print(\"Fail\")\n",
    "            fails_dict[tweet_id] = e\n",
    "            pass\n",
    "end = timer()\n",
    "print(end - start)\n",
    "print(fails_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# read tweet_json\n",
    "data = []\n",
    "with open('tweet_json.txt') as f:\n",
    "    for line in f:\n",
    "       data.append(json.loads(line))\n",
    "\n",
    "tweep_df = pd.DataFrame(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Assess"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>in_reply_to_status_id</th>\n",
       "      <th>in_reply_to_user_id</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>retweeted_status_id</th>\n",
       "      <th>retweeted_status_user_id</th>\n",
       "      <th>retweeted_status_timestamp</th>\n",
       "      <th>expanded_urls</th>\n",
       "      <th>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "      <th>name</th>\n",
       "      <th>doggo</th>\n",
       "      <th>floofer</th>\n",
       "      <th>pupper</th>\n",
       "      <th>puppo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>892420643555336193</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-08-01 16:23:56 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Phineas. He's a mystical boy. Only eve...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/892420643...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Phineas</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>892177421306343426</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-08-01 00:17:27 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Tilly. She's just checking pup on you....</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/892177421...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Tilly</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-31 00:18:03 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Archie. He is a rare Norwegian Pouncin...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/891815181...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Archie</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-30 15:58:51 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Darla. She commenced a snooze mid meal...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/891689557...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Darla</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-29 16:00:24 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Franklin. He would like you to stop ca...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/891327558...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Franklin</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <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": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the twitter_archive data\n",
    "twitter_archive"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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": [
    "# details of twitter_archive to check for error\n",
    "twitter_archive.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
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       "        text-align: right;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>in_reply_to_status_id</th>\n",
       "      <th>in_reply_to_user_id</th>\n",
       "      <th>retweeted_status_id</th>\n",
       "      <th>retweeted_status_user_id</th>\n",
       "      <th>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2.356000e+03</td>\n",
       "      <td>7.800000e+01</td>\n",
       "      <td>7.800000e+01</td>\n",
       "      <td>1.810000e+02</td>\n",
       "      <td>1.810000e+02</td>\n",
       "      <td>2356.000000</td>\n",
       "      <td>2356.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>7.427716e+17</td>\n",
       "      <td>7.455079e+17</td>\n",
       "      <td>2.014171e+16</td>\n",
       "      <td>7.720400e+17</td>\n",
       "      <td>1.241698e+16</td>\n",
       "      <td>13.126486</td>\n",
       "      <td>10.455433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>6.856705e+16</td>\n",
       "      <td>7.582492e+16</td>\n",
       "      <td>1.252797e+17</td>\n",
       "      <td>6.236928e+16</td>\n",
       "      <td>9.599254e+16</td>\n",
       "      <td>45.876648</td>\n",
       "      <td>6.745237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>6.660209e+17</td>\n",
       "      <td>6.658147e+17</td>\n",
       "      <td>1.185634e+07</td>\n",
       "      <td>6.661041e+17</td>\n",
       "      <td>7.832140e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>6.783989e+17</td>\n",
       "      <td>6.757419e+17</td>\n",
       "      <td>3.086374e+08</td>\n",
       "      <td>7.186315e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>7.196279e+17</td>\n",
       "      <td>7.038708e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>7.804657e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7.993373e+17</td>\n",
       "      <td>8.257804e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>8.203146e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>8.924206e+17</td>\n",
       "      <td>8.862664e+17</td>\n",
       "      <td>8.405479e+17</td>\n",
       "      <td>8.874740e+17</td>\n",
       "      <td>7.874618e+17</td>\n",
       "      <td>1776.000000</td>\n",
       "      <td>170.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           tweet_id  in_reply_to_status_id  in_reply_to_user_id  \\\n",
       "count  2.356000e+03           7.800000e+01         7.800000e+01   \n",
       "mean   7.427716e+17           7.455079e+17         2.014171e+16   \n",
       "std    6.856705e+16           7.582492e+16         1.252797e+17   \n",
       "min    6.660209e+17           6.658147e+17         1.185634e+07   \n",
       "25%    6.783989e+17           6.757419e+17         3.086374e+08   \n",
       "50%    7.196279e+17           7.038708e+17         4.196984e+09   \n",
       "75%    7.993373e+17           8.257804e+17         4.196984e+09   \n",
       "max    8.924206e+17           8.862664e+17         8.405479e+17   \n",
       "\n",
       "       retweeted_status_id  retweeted_status_user_id  rating_numerator  \\\n",
       "count         1.810000e+02              1.810000e+02       2356.000000   \n",
       "mean          7.720400e+17              1.241698e+16         13.126486   \n",
       "std           6.236928e+16              9.599254e+16         45.876648   \n",
       "min           6.661041e+17              7.832140e+05          0.000000   \n",
       "25%           7.186315e+17              4.196984e+09         10.000000   \n",
       "50%           7.804657e+17              4.196984e+09         11.000000   \n",
       "75%           8.203146e+17              4.196984e+09         12.000000   \n",
       "max           8.874740e+17              7.874618e+17       1776.000000   \n",
       "\n",
       "       rating_denominator  \n",
       "count         2356.000000  \n",
       "mean            10.455433  \n",
       "std              6.745237  \n",
       "min              0.000000  \n",
       "25%             10.000000  \n",
       "50%             10.000000  \n",
       "75%             10.000000  \n",
       "max            170.000000  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# statistics details of twitter_archive to check for error\n",
    "twitter_archive.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>jpg_url</th>\n",
       "      <th>img_num</th>\n",
       "      <th>p1</th>\n",
       "      <th>p1_conf</th>\n",
       "      <th>p1_dog</th>\n",
       "      <th>p2</th>\n",
       "      <th>p2_conf</th>\n",
       "      <th>p2_dog</th>\n",
       "      <th>p3</th>\n",
       "      <th>p3_conf</th>\n",
       "      <th>p3_dog</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>666020888022790149</td>\n",
       "      <td>https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Welsh_springer_spaniel</td>\n",
       "      <td>0.465074</td>\n",
       "      <td>True</td>\n",
       "      <td>collie</td>\n",
       "      <td>0.156665</td>\n",
       "      <td>True</td>\n",
       "      <td>Shetland_sheepdog</td>\n",
       "      <td>0.061428</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>666029285002620928</td>\n",
       "      <td>https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>redbone</td>\n",
       "      <td>0.506826</td>\n",
       "      <td>True</td>\n",
       "      <td>miniature_pinscher</td>\n",
       "      <td>0.074192</td>\n",
       "      <td>True</td>\n",
       "      <td>Rhodesian_ridgeback</td>\n",
       "      <td>0.072010</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>666033412701032449</td>\n",
       "      <td>https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>German_shepherd</td>\n",
       "      <td>0.596461</td>\n",
       "      <td>True</td>\n",
       "      <td>malinois</td>\n",
       "      <td>0.138584</td>\n",
       "      <td>True</td>\n",
       "      <td>bloodhound</td>\n",
       "      <td>0.116197</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>666044226329800704</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Rhodesian_ridgeback</td>\n",
       "      <td>0.408143</td>\n",
       "      <td>True</td>\n",
       "      <td>redbone</td>\n",
       "      <td>0.360687</td>\n",
       "      <td>True</td>\n",
       "      <td>miniature_pinscher</td>\n",
       "      <td>0.222752</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>666049248165822465</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>miniature_pinscher</td>\n",
       "      <td>0.560311</td>\n",
       "      <td>True</td>\n",
       "      <td>Rottweiler</td>\n",
       "      <td>0.243682</td>\n",
       "      <td>True</td>\n",
       "      <td>Doberman</td>\n",
       "      <td>0.154629</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             tweet_id                                          jpg_url  \\\n",
       "0  666020888022790149  https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg   \n",
       "1  666029285002620928  https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg   \n",
       "2  666033412701032449  https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg   \n",
       "3  666044226329800704  https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg   \n",
       "4  666049248165822465  https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg   \n",
       "\n",
       "   img_num                      p1   p1_conf  p1_dog                  p2  \\\n",
       "0        1  Welsh_springer_spaniel  0.465074    True              collie   \n",
       "1        1                 redbone  0.506826    True  miniature_pinscher   \n",
       "2        1         German_shepherd  0.596461    True            malinois   \n",
       "3        1     Rhodesian_ridgeback  0.408143    True             redbone   \n",
       "4        1      miniature_pinscher  0.560311    True          Rottweiler   \n",
       "\n",
       "    p2_conf  p2_dog                   p3   p3_conf  p3_dog  \n",
       "0  0.156665    True    Shetland_sheepdog  0.061428    True  \n",
       "1  0.074192    True  Rhodesian_ridgeback  0.072010    True  \n",
       "2  0.138584    True           bloodhound  0.116197    True  \n",
       "3  0.360687    True   miniature_pinscher  0.222752    True  \n",
       "4  0.243682    True             Doberman  0.154629    True  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#details of dog_predictions to check for error\n",
    "dog_predictions.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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": [
    "#more details of dog_predictions to check for error\n",
    "dog_predictions.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\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>img_num</th>\n",
       "      <th>p1_conf</th>\n",
       "      <th>p2_conf</th>\n",
       "      <th>p3_conf</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2.075000e+03</td>\n",
       "      <td>2075.000000</td>\n",
       "      <td>2075.000000</td>\n",
       "      <td>2.075000e+03</td>\n",
       "      <td>2.075000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>7.384514e+17</td>\n",
       "      <td>1.203855</td>\n",
       "      <td>0.594548</td>\n",
       "      <td>1.345886e-01</td>\n",
       "      <td>6.032417e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>6.785203e+16</td>\n",
       "      <td>0.561875</td>\n",
       "      <td>0.271174</td>\n",
       "      <td>1.006657e-01</td>\n",
       "      <td>5.090593e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>6.660209e+17</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.044333</td>\n",
       "      <td>1.011300e-08</td>\n",
       "      <td>1.740170e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>6.764835e+17</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.364412</td>\n",
       "      <td>5.388625e-02</td>\n",
       "      <td>1.622240e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>7.119988e+17</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.588230</td>\n",
       "      <td>1.181810e-01</td>\n",
       "      <td>4.944380e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7.932034e+17</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.843855</td>\n",
       "      <td>1.955655e-01</td>\n",
       "      <td>9.180755e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>8.924206e+17</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.880140e-01</td>\n",
       "      <td>2.734190e-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           tweet_id      img_num      p1_conf       p2_conf       p3_conf\n",
       "count  2.075000e+03  2075.000000  2075.000000  2.075000e+03  2.075000e+03\n",
       "mean   7.384514e+17     1.203855     0.594548  1.345886e-01  6.032417e-02\n",
       "std    6.785203e+16     0.561875     0.271174  1.006657e-01  5.090593e-02\n",
       "min    6.660209e+17     1.000000     0.044333  1.011300e-08  1.740170e-10\n",
       "25%    6.764835e+17     1.000000     0.364412  5.388625e-02  1.622240e-02\n",
       "50%    7.119988e+17     1.000000     0.588230  1.181810e-01  4.944380e-02\n",
       "75%    7.932034e+17     1.000000     0.843855  1.955655e-01  9.180755e-02\n",
       "max    8.924206e+17     4.000000     1.000000  4.880140e-01  2.734190e-01"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#statistics details of dog_predictions to check for error\n",
    "dog_predictions.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2337 entries, 0 to 2336\n",
      "Data columns (total 32 columns):\n",
      "contributors                     0 non-null object\n",
      "coordinates                      0 non-null object\n",
      "created_at                       2337 non-null object\n",
      "display_text_range               2337 non-null object\n",
      "entities                         2337 non-null object\n",
      "extended_entities                2065 non-null object\n",
      "favorite_count                   2337 non-null int64\n",
      "favorited                        2337 non-null bool\n",
      "full_text                        2337 non-null object\n",
      "geo                              0 non-null object\n",
      "id                               2337 non-null int64\n",
      "id_str                           2337 non-null object\n",
      "in_reply_to_screen_name          77 non-null object\n",
      "in_reply_to_status_id            77 non-null float64\n",
      "in_reply_to_status_id_str        77 non-null object\n",
      "in_reply_to_user_id              77 non-null float64\n",
      "in_reply_to_user_id_str          77 non-null object\n",
      "is_quote_status                  2337 non-null bool\n",
      "lang                             2337 non-null object\n",
      "place                            1 non-null object\n",
      "possibly_sensitive               2203 non-null object\n",
      "possibly_sensitive_appealable    2203 non-null object\n",
      "quoted_status                    24 non-null object\n",
      "quoted_status_id                 26 non-null float64\n",
      "quoted_status_id_str             26 non-null object\n",
      "quoted_status_permalink          26 non-null object\n",
      "retweet_count                    2337 non-null int64\n",
      "retweeted                        2337 non-null bool\n",
      "retweeted_status                 166 non-null object\n",
      "source                           2337 non-null object\n",
      "truncated                        2337 non-null bool\n",
      "user                             2337 non-null object\n",
      "dtypes: bool(4), float64(3), int64(3), object(22)\n",
      "memory usage: 520.4+ KB\n"
     ]
    }
   ],
   "source": [
    "# details of tweep_df to check for error\n",
    "tweep_df\n",
    "tweep_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>id</th>\n",
       "      <th>in_reply_to_status_id</th>\n",
       "      <th>in_reply_to_user_id</th>\n",
       "      <th>quoted_status_id</th>\n",
       "      <th>retweet_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2337.000000</td>\n",
       "      <td>2.337000e+03</td>\n",
       "      <td>7.700000e+01</td>\n",
       "      <td>7.700000e+01</td>\n",
       "      <td>2.600000e+01</td>\n",
       "      <td>2337.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>7839.500214</td>\n",
       "      <td>7.420692e+17</td>\n",
       "      <td>7.440692e+17</td>\n",
       "      <td>2.040329e+16</td>\n",
       "      <td>8.113972e+17</td>\n",
       "      <td>2876.09371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>12150.867989</td>\n",
       "      <td>6.824243e+16</td>\n",
       "      <td>7.524295e+16</td>\n",
       "      <td>1.260797e+17</td>\n",
       "      <td>6.295843e+16</td>\n",
       "      <td>4858.70740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.660209e+17</td>\n",
       "      <td>6.658147e+17</td>\n",
       "      <td>1.185634e+07</td>\n",
       "      <td>6.721083e+17</td>\n",
       "      <td>1.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1361.000000</td>\n",
       "      <td>6.783345e+17</td>\n",
       "      <td>6.757073e+17</td>\n",
       "      <td>3.589728e+08</td>\n",
       "      <td>7.761338e+17</td>\n",
       "      <td>580.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3419.000000</td>\n",
       "      <td>7.185406e+17</td>\n",
       "      <td>7.032559e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>8.281173e+17</td>\n",
       "      <td>1344.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>9605.000000</td>\n",
       "      <td>7.986825e+17</td>\n",
       "      <td>8.233264e+17</td>\n",
       "      <td>4.196984e+09</td>\n",
       "      <td>8.637581e+17</td>\n",
       "      <td>3355.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>162044.000000</td>\n",
       "      <td>8.924206e+17</td>\n",
       "      <td>8.862664e+17</td>\n",
       "      <td>8.405479e+17</td>\n",
       "      <td>8.860534e+17</td>\n",
       "      <td>82420.00000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       favorite_count            id  in_reply_to_status_id  \\\n",
       "count     2337.000000  2.337000e+03           7.700000e+01   \n",
       "mean      7839.500214  7.420692e+17           7.440692e+17   \n",
       "std      12150.867989  6.824243e+16           7.524295e+16   \n",
       "min          0.000000  6.660209e+17           6.658147e+17   \n",
       "25%       1361.000000  6.783345e+17           6.757073e+17   \n",
       "50%       3419.000000  7.185406e+17           7.032559e+17   \n",
       "75%       9605.000000  7.986825e+17           8.233264e+17   \n",
       "max     162044.000000  8.924206e+17           8.862664e+17   \n",
       "\n",
       "       in_reply_to_user_id  quoted_status_id  retweet_count  \n",
       "count         7.700000e+01      2.600000e+01     2337.00000  \n",
       "mean          2.040329e+16      8.113972e+17     2876.09371  \n",
       "std           1.260797e+17      6.295843e+16     4858.70740  \n",
       "min           1.185634e+07      6.721083e+17        1.00000  \n",
       "25%           3.589728e+08      7.761338e+17      580.00000  \n",
       "50%           4.196984e+09      8.281173e+17     1344.00000  \n",
       "75%           4.196984e+09      8.637581e+17     3355.00000  \n",
       "max           8.405479e+17      8.860534e+17    82420.00000  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# statistic details of tweep_df to check for error\n",
    "tweep_df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Twitter_archive"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Quality issues\n",
    "\n",
    "1. in_reply_to_status_id, in_reply_to_user_id, retweeted_status_id, retweeted_status_user_id, retweeted_status_timestamp, The variables above data is incomplete, all should be removed.\n",
    "\n",
    "2.\tFilter out outliers in rating_numerator and rating_denominator\n",
    "\n",
    "### Tidiness Issues\n",
    "\n",
    "\n",
    "1.\tdog stages (doggo, floofer, pupper, and puppo) should be values of a single variable.\n",
    "2.\tRename rating_denominator to \"dog_rating\"\n",
    "3.\tCreate unique columns from timestamp (Year, month, day, hour).\n",
    "4.  dog stages (doggo, floofer, pupper, and puppo) merged to a single variable.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## dog_predictions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Quality issues\n",
    "\n",
    "1.  Inconsistent dog names in p1, p2, p3 values\n",
    "\n",
    "2.  p1, p2, and p3 should be converted to title format.\n",
    "\n",
    "3.  Dog breeds are in both lower and Upper cases, should all start with upper cases.\n",
    "\n",
    "4.  p1, p2, and p3 should be replaced with space.\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## tweep_df\n",
    "\n",
    "### Quality issues\n",
    "\n",
    "1. contributors, coordinates, extended_entities, geo, in_reply_to_screen_name, in_reply_to_status_id, in_reply_to_status_id_str,  in_reply_to_user_id, in_reply_to_user_id_str, place, possibly_sensitive, possibly_sensitive_appealable, quoted_status,          quoted_status_id, quoted_status_id_str, quoted_status_permalink, retweeted_status these variables have incomplete data.\n",
    "\n",
    "2. contributors, coordinates, geo, place, no data available should be removed.\n",
    "\n",
    "### Tidiness issues\n",
    "\n",
    "1. id should be renamed tweet_id.\n",
    "\n",
    "2. Merge df_twitter_archive, df_dog_predictions, and df_tweep values of interest\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Clean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Making copies\n",
    "df_twitter_archive = twitter_archive.copy()\n",
    "df_dog_predictions = dog_predictions.copy()\n",
    "df_tweep = tweep_df.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "\n",
    "# delete in_reply_to_status_id, in_reply_to_user_id, retweeted_status_id , retweeted_status_user_id, \n",
    "# retweeted_status_timestamp columns in ratings_clean\n",
    "df_twitter_archive.drop(['in_reply_to_status_id','in_reply_to_user_id',\n",
    "                    'retweeted_status_id', 'retweeted_status_user_id','retweeted_status_timestamp'],inplace=True,axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test"
   ]
  },
  {
   "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 12 columns):\n",
      "tweet_id              2356 non-null int64\n",
      "timestamp             2356 non-null object\n",
      "source                2356 non-null object\n",
      "text                  2356 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: int64(3), object(9)\n",
      "memory usage: 221.0+ KB\n"
     ]
    }
   ],
   "source": [
    "df_twitter_archive.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Filter out outliers in rating_numerator, first lets get the max rating.\n",
    "\n",
    "df_twitter_archive.rating_numerator.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# rating 15 appears to be the maximum rating and others are seen as outliers\n",
    "df_twitter_archive = df_twitter_archive[df_twitter_archive['rating_numerator'] <= 15]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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",
       "15      2\n",
       "0       2\n",
       "Name: rating_numerator, dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_twitter_archive.rating_numerator.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#dog stages (doggo, floofer, pupper, and puppo) merged to a single variable.\n",
    "df_twitter_archive['dog_stage'] = df_twitter_archive[['doggo', 'floofer','pupper','puppo']].apply(lambda x: ''.join(x), axis=1)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NoneNoneNoneNone        1951\n",
       "NoneNonepupperNone       244\n",
       "doggoNoneNoneNone         83\n",
       "NoneNoneNonepuppo         29\n",
       "doggoNonepupperNone       12\n",
       "NoneflooferNoneNone        9\n",
       "doggoNoneNonepuppo         1\n",
       "doggoflooferNoneNone       1\n",
       "Name: dog_stage, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#check if dog_stage names\n",
    "df_twitter_archive['dog_stage'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# clean up the merged dog stage\n",
    "df_twitter_archive['dog_stage'].replace(\"doggoNoneNoneNone\",\"doggo\", inplace=True)\n",
    "df_twitter_archive['dog_stage'].replace(\"NoneflooferNoneNone\",\"floofer\", inplace=True)\n",
    "df_twitter_archive['dog_stage'].replace(\"NoneNonepupperNone\",\"pupper\", inplace=True)\n",
    "df_twitter_archive['dog_stage'].replace(\"NoneNoneNonepuppo\",\"puppo\", inplace=True)\n",
    "df_twitter_archive['dog_stage'].replace(\"NoneNoneNoneNone\",\"None \", inplace=True) \n",
    "df_twitter_archive['dog_stage'].replace(\"doggoNonepupperNone\",\"doggo\", inplace=True)\n",
    "df_twitter_archive['dog_stage'].replace(\"doggoflooferNoneNone\",\"floofer\", inplace=True)\n",
    "df_twitter_archive['dog_stage'].replace(\"doggoNoneNonepuppo\",\"puppo\", inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# drop the doggo, floofer, pupper, puppo columns\n",
    "df_twitter_archive.drop(['doggo', 'floofer','pupper','puppo'],inplace=True,axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['None ', 'doggo', 'puppo', 'pupper', 'floofer'], dtype=object)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_twitter_archive.dog_stage.unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "None       1951\n",
       "pupper      244\n",
       "doggo        95\n",
       "puppo        30\n",
       "floofer      10\n",
       "Name: dog_stage, dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_twitter_archive['dog_stage'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# rename rating_numerator to dog_rating)\n",
    "df_twitter_archive.rename(columns={'rating_numerator':'dog_rating'}, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>expanded_urls</th>\n",
       "      <th>dog_rating</th>\n",
       "      <th>rating_denominator</th>\n",
       "      <th>name</th>\n",
       "      <th>dog_stage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>892420643555336193</td>\n",
       "      <td>2017-08-01 16:23:56 +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>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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>892177421306343426</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>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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>891815181378084864</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>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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             tweet_id                  timestamp  \\\n",
       "0  892420643555336193  2017-08-01 16:23:56 +0000   \n",
       "1  892177421306343426  2017-08-01 00:17:27 +0000   \n",
       "2  891815181378084864  2017-07-31 00:18:03 +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",
       "\n",
       "                                                text  \\\n",
       "0  This is Phineas. He's a mystical boy. Only eve...   \n",
       "1  This is Tilly. She's just checking pup on you....   \n",
       "2  This is Archie. He is a rare Norwegian Pouncin...   \n",
       "\n",
       "                                       expanded_urls  dog_rating  \\\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",
       "\n",
       "   rating_denominator     name dog_stage  \n",
       "0                  10  Phineas     None   \n",
       "1                  10    Tilly     None   \n",
       "2                  10   Archie     None   "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "df_twitter_archive.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# convert timestamp in df_twitter_archive to datetime\n",
    "df_twitter_archive['timestamp']= pd.to_datetime(df_twitter_archive['timestamp'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_twitter_archive['year'] = df_twitter_archive['timestamp'].dt.year\n",
    "df_twitter_archive['month'] = df_twitter_archive['timestamp'].dt.month\n",
    "df_twitter_archive['day'] = df_twitter_archive['timestamp'].dt.day\n",
    "df_twitter_archive['hour'] = df_twitter_archive['timestamp'].dt.hour"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>expanded_urls</th>\n",
       "      <th>dog_rating</th>\n",
       "      <th>rating_denominator</th>\n",
       "      <th>name</th>\n",
       "      <th>dog_stage</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>892420643555336193</td>\n",
       "      <td>2017-08-01 16:23:56</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Phineas. He's a mystical boy. Only eve...</td>\n",
       "      <td>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>2017</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>892177421306343426</td>\n",
       "      <td>2017-08-01 00:17:27</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Tilly. She's just checking pup on you....</td>\n",
       "      <td>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>2017</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>2017-07-31 00:18:03</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Archie. He is a rare Norwegian Pouncin...</td>\n",
       "      <td>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>2017</td>\n",
       "      <td>7</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             tweet_id           timestamp  \\\n",
       "0  892420643555336193 2017-08-01 16:23:56   \n",
       "1  892177421306343426 2017-08-01 00:17:27   \n",
       "2  891815181378084864 2017-07-31 00:18:03   \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",
       "\n",
       "                                                text  \\\n",
       "0  This is Phineas. He's a mystical boy. Only eve...   \n",
       "1  This is Tilly. She's just checking pup on you....   \n",
       "2  This is Archie. He is a rare Norwegian Pouncin...   \n",
       "\n",
       "                                       expanded_urls  dog_rating  \\\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",
       "\n",
       "   rating_denominator     name dog_stage  year  month  day  hour  \n",
       "0                  10  Phineas     None   2017      8    1    16  \n",
       "1                  10    Tilly     None   2017      8    1     0  \n",
       "2                  10   Archie     None   2017      7   31     0  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check if time stamp is corrected\n",
    "df_twitter_archive.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# rename id to tweet_id\n",
    "df_tweep.rename(columns={'id':'tweet_id'}, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "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": [
    "# check if renamed\n",
    "df_dog_predictions.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Merge df_twitter_archive, df_dog_predictions, and df_tweep values of interest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Merge df_twitter_archive, df_dog_predictions, and df_tweep values of interest\n",
    "archive_interest = ['tweet_id', 'dog_rating', 'rating_denominator',\n",
    "               'name', 'year', 'month', 'day', 'hour', 'dog_stage', 'source']\n",
    "df_twitter = df_twitter_archive[archive_interest]\n",
    "\n",
    "df_tweep  = df_tweep [['tweet_id', 'favorite_count', 'retweet_count']]\n",
    "\n",
    "df_dog_predictions = df_dog_predictions.drop(['jpg_url', 'img_num'], axis = 1)\n",
    "\n",
    "# merge dataframes\n",
    "df = df_twitter.merge(df_dog_predictions,on='tweet_id').merge(df_tweep,on='tweet_id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 2046 entries, 0 to 2045\n",
      "Data columns (total 21 columns):\n",
      "tweet_id              2046 non-null int64\n",
      "dog_rating            2046 non-null int64\n",
      "rating_denominator    2046 non-null int64\n",
      "name                  2046 non-null object\n",
      "year                  2046 non-null int64\n",
      "month                 2046 non-null int64\n",
      "day                   2046 non-null int64\n",
      "hour                  2046 non-null int64\n",
      "dog_stage             2046 non-null object\n",
      "source                2046 non-null object\n",
      "p1                    2046 non-null object\n",
      "p1_conf               2046 non-null float64\n",
      "p1_dog                2046 non-null bool\n",
      "p2                    2046 non-null object\n",
      "p2_conf               2046 non-null float64\n",
      "p2_dog                2046 non-null bool\n",
      "p3                    2046 non-null object\n",
      "p3_conf               2046 non-null float64\n",
      "p3_dog                2046 non-null bool\n",
      "favorite_count        2046 non-null int64\n",
      "retweet_count         2046 non-null int64\n",
      "dtypes: bool(3), float64(3), int64(9), object(6)\n",
      "memory usage: 309.7+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Analysis and Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\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>dog_rating</th>\n",
       "      <th>rating_denominator</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "      <th>p1_conf</th>\n",
       "      <th>p2_conf</th>\n",
       "      <th>p3_conf</th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>retweet_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2.046000e+03</td>\n",
       "      <td>2046.000000</td>\n",
       "      <td>2046.000000</td>\n",
       "      <td>2046.000000</td>\n",
       "      <td>2046.000000</td>\n",
       "      <td>2046.000000</td>\n",
       "      <td>2046.000000</td>\n",
       "      <td>2046.000000</td>\n",
       "      <td>2.046000e+03</td>\n",
       "      <td>2.046000e+03</td>\n",
       "      <td>2046.000000</td>\n",
       "      <td>2046.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>7.381567e+17</td>\n",
       "      <td>10.581134</td>\n",
       "      <td>10.001955</td>\n",
       "      <td>2015.862659</td>\n",
       "      <td>7.174976</td>\n",
       "      <td>15.965298</td>\n",
       "      <td>9.690127</td>\n",
       "      <td>0.594248</td>\n",
       "      <td>1.351400e-01</td>\n",
       "      <td>6.034473e-02</td>\n",
       "      <td>8299.076735</td>\n",
       "      <td>2760.619746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>6.776683e+16</td>\n",
       "      <td>2.188884</td>\n",
       "      <td>0.284903</td>\n",
       "      <td>0.699426</td>\n",
       "      <td>4.112796</td>\n",
       "      <td>8.920034</td>\n",
       "      <td>8.629611</td>\n",
       "      <td>0.271108</td>\n",
       "      <td>1.008176e-01</td>\n",
       "      <td>5.087163e-02</td>\n",
       "      <td>12527.049154</td>\n",
       "      <td>4819.597063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>6.660209e+17</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.044333</td>\n",
       "      <td>1.011300e-08</td>\n",
       "      <td>1.740170e-10</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>11.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>6.762241e+17</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.363261</td>\n",
       "      <td>5.415523e-02</td>\n",
       "      <td>1.619283e-02</td>\n",
       "      <td>1565.250000</td>\n",
       "      <td>586.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>7.117137e+17</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.588030</td>\n",
       "      <td>1.192560e-01</td>\n",
       "      <td>4.933745e-02</td>\n",
       "      <td>3649.500000</td>\n",
       "      <td>1295.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7.931619e+17</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>0.843689</td>\n",
       "      <td>1.963873e-01</td>\n",
       "      <td>9.218437e-02</td>\n",
       "      <td>10396.000000</td>\n",
       "      <td>3182.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>8.924206e+17</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>2017.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.880140e-01</td>\n",
       "      <td>2.710420e-01</td>\n",
       "      <td>162044.000000</td>\n",
       "      <td>82420.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           tweet_id   dog_rating  rating_denominator         year  \\\n",
       "count  2.046000e+03  2046.000000         2046.000000  2046.000000   \n",
       "mean   7.381567e+17    10.581134           10.001955  2015.862659   \n",
       "std    6.776683e+16     2.188884            0.284903     0.699426   \n",
       "min    6.660209e+17     0.000000            2.000000  2015.000000   \n",
       "25%    6.762241e+17    10.000000           10.000000  2015.000000   \n",
       "50%    7.117137e+17    11.000000           10.000000  2016.000000   \n",
       "75%    7.931619e+17    12.000000           10.000000  2016.000000   \n",
       "max    8.924206e+17    15.000000           20.000000  2017.000000   \n",
       "\n",
       "             month          day         hour      p1_conf       p2_conf  \\\n",
       "count  2046.000000  2046.000000  2046.000000  2046.000000  2.046000e+03   \n",
       "mean      7.174976    15.965298     9.690127     0.594248  1.351400e-01   \n",
       "std       4.112796     8.920034     8.629611     0.271108  1.008176e-01   \n",
       "min       1.000000     1.000000     0.000000     0.044333  1.011300e-08   \n",
       "25%       3.000000     8.000000     1.000000     0.363261  5.415523e-02   \n",
       "50%       7.000000    16.000000     4.000000     0.588030  1.192560e-01   \n",
       "75%      11.000000    24.000000    18.000000     0.843689  1.963873e-01   \n",
       "max      12.000000    31.000000    23.000000     1.000000  4.880140e-01   \n",
       "\n",
       "            p3_conf  favorite_count  retweet_count  \n",
       "count  2.046000e+03     2046.000000    2046.000000  \n",
       "mean   6.034473e-02     8299.076735    2760.619746  \n",
       "std    5.087163e-02    12527.049154    4819.597063  \n",
       "min    1.740170e-10        0.000000      11.000000  \n",
       "25%    1.619283e-02     1565.250000     586.000000  \n",
       "50%    4.933745e-02     3649.500000    1295.500000  \n",
       "75%    9.218437e-02    10396.000000    3182.500000  \n",
       "max    2.710420e-01   162044.000000   82420.000000  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# summary\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Highest Dog Rating"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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wPrrdZSWwVd9htgZWDC1oSZIkDcWop6DaENiMJhntV+2Sdv0iYLe+bXZryyVJkjSLDC1J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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x22032d54748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plotting a graph of highest dog rating\n",
    "fig = plt.figure(1, figsize=(11, 6))\n",
    "df.dog_rating.value_counts().plot.bar(width=0.76)\n",
    "plt.xlabel('Highest dog rating', fontsize=14)\n",
    "plt.ylabel('Number of Dogs', fontsize=14)\n",
    "plt.title('Highest dog rating', fontsize=16)\n",
    "plt.xticks(fontsize=13)\n",
    "plt.yticks(fontsize=13)\n",
    "plt.yticks(range(0, 500, 50));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Highest dog rating is 12."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Highest dog stage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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yTODNEbECIP/cJrePBZZW5uvKbb21r0XSDEmdkjq7u7tbKNHMzPqyPg4Mq0lb9NG+dmPE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\nCvb/AcT2F9+9ctjOAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x22032d6ac18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plots of highest dog stage\n",
    "df['dog_stage'].value_counts().plot(kind=\"bar\")\n",
    "plt.title('Proportion of Dog Stages');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the chat, most of the rating do not specify the dog stages."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### plot of the devices mostly used by users"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'Frequency')"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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tn8dzJB0JXAe8BHiV7S3K8yOX8rXfDpzdtj1F0pWSLpK0SymbAMxrO2ZeKRsqzumSZkma\ntXDhwqUMKyIiRrJil8cdDXwdOMz231uFtudL+o+6LyrpY8Ai4LulaAEwyfadkrYHzpC0FdCpf8ND\nXdf28cDxANOmTRvyuIiIeGq6TR6vAP5uezGApBWAVWw/aPs7dV5Q0gHAK4HdS1MUth8CHirPL5f0\nR2AzqppGe9PWRGB+ndeLiIhlr9s+j/OBVdu2VytltUjai6rP5NW2H2wrHy9pXHm+MVXH+J9sLwDu\nk7RTGWW1P/Djuq8bERHLVrc1j1Vs39/asH2/pNWGO0HSycBuwHqS5gGfoBpdtTJwXhlxe0kZWbUr\n8GlJi4DFwAzbrc72d1GN3FqVqo+kvZ8kIiIa0G3yeEDSdravgOreC+Dvw51ge78OxScMcexpwGlD\n7JsF5CbFiIg+0m3yeB/wA0mt/oYNgDf1JqSIiOh3XSUP25dJ+idgc6oRUNfbfqSnkUVERN/qtuYB\nsAMwuZyzrSRsn9iTqCIioq91lTwkfQfYBJhN1aEN1f0WSR4REcuhbmse04AtW/dlRETE8q3b+zyu\nBp7Vy0AiImJwdFvzWA+4VtKllDvBAWy/uidRRUREX+s2eXyyl0FERMRg6Xao7kWSNgKm2j6/3F0+\nrrehRUREv+p2SvZ3Aj8EvlaKJgBn9CqoiIjob912mB8MvAC4Fx5bGGr9XgUVERH9rdvk8ZDth1sb\nklZkmHU1IiJibOs2eVwk6TBg1bJ2+Q+An/QurIiI6GfdJo9DgYXAVcBBwFlU65lHRMRyqNvRVo9S\nLUP79d6GExERg6Dbua1uokMfh+2Nl3lEERHR97pttppGNavuDsAuwFHASSOdJGmmpDskXd1Wtq6k\n8yTdWH6uU8ol6ShJcyXNkbRd2zkHlONvLGugR0REg7pKHrbvbHvcZvt/gJd0ceq3gL2WKDsUuMD2\nVOCCsg3wcqq1y6cC04FjoUo2VEvYPg/YEfhEK+FEREQzum222q5tcwWqmsgaI51n+2JJk5co3odq\nbXOAbwO/AD5Syk8sM/deImltSRuUY89rrWku6TyqhHRyN7FHRMSy1+3cVke0PV8E3Ay8cSlf85m2\nFwDYXiCpdbPhBODWtuPmlbKhyiMioiHdjrZ6ca8DoVre9kkvPUz5ky8gTadq8mLSpEnLLrKIiHiC\nbput3j/cfttfrvGat0vaoNQ6NgDuKOXzgA3bjpsIzC/luy1R/osh4jgeOB5g2rRpuQM+IqJH6oy2\nehePNyPNALak6vcYse9jCWcCrRFTBwA/bivfv4y62gm4pzRvnQPsKWmd0lG+ZymLiIiG1FkMajvb\n9wFI+iTwA9vvGO4kSSdT1RrWkzSPatTU54BTJR0I3AK8oRx+FvAKYC7wIPA2ANt3SfoMcFk57tOt\nzvOIiGhGt8ljEvBw2/bDwOSRTrK93xC7du9wrKlm7+10nZnAzBGjjIiIUdFt8vgOcKmk06k6q18L\nnNizqCIioq91O9rqcElnU91dDvA221f2LqyIiOhn3XaYA6wG3Gv7K8A8SVN6FFNERPS5bpeh/QTV\nXeAfLUUr0cXcVhERMTZ1W/N4LfBq4AEA2/OpP0Q3IiLGiG6Tx8NlNJQBJD29dyFFRES/6zZ5nCrp\na8Dakt4JnE8WhoqIWG51O9rqS2Xt8nuBzYGP2z6vp5FFRETfGjF5SBoHnGN7DyAJIyIiRm62sr0Y\neFDSWqMQT0REDIBu7zD/B3BVWYjpgVah7ff0JKqIiOhr3SaPn5ZHRETE8MlD0iTbt9j+9mgFFBER\n/W+kPo8zWk8kndbjWCIiYkCMlDzal4DduJeBRETE4BgpeXiI5xERsRwbqcP8uZLupaqBrFqeU7Zt\ne82eRhcREX1p2ORhe9yyfkFJmwPfbyvaGPg4sDbwTmBhKT/M9lnlnI8CBwKLgffYzhrmEREN6nao\n7jJj+wZgG3js7vXbgNOp1iw/0vaX2o+XtCWwL7AV8GzgfEmblZsXIyKiAXUWg+qF3YE/2v7zMMfs\nA5xi+yHbNwFzgR1HJbqIiOio6eSxL3By2/YhkuZImilpnVI2Abi17Zh5pSwiIhrSWPKQ9DSqBaZ+\nUIqOBTahatJaABzROrTD6R1HfkmaLmmWpFkLFy7sdEhERCwDTdY8Xg5cYft2ANu3215s+1GqtUJa\nTVPzgA3bzpsIzO90QdvH255me9r48eN7GHpExPKtyeSxH21NVpI2aNv3WuDq8vxMYF9JK0uaAkwF\nLh21KCMi4klGfbQVgKTVgJcCB7UVf0HSNlRNUje39tm+RtKpwLXAIuDgjLSKiGhWI8nD9oPAM5Yo\ne8swxx8OHN7ruCIiojtNj7aKiIgBlOQRERG1JXlERERtSR4REVFbkkdERNSW5BEREbUleURERG1J\nHhERUVuSR0RE1JbkERERtSV5REREbUkeERFRW5JHRETUluQRERG1JXlERERtSR4REVFbkkdERNTW\nWPKQdLOkqyTNljSrlK0r6TxJN5af65RySTpK0lxJcyRt11TcERHRfM3jxba3sT2tbB8KXGB7KnBB\n2QZ4OTC1PKYDx456pBER8Zimk8eS9gG+XZ5/G3hNW/mJrlwCrC1pgyYCjIiIZpOHgXMlXS5peil7\npu0FAOXn+qV8AnBr27nzSllERDRgxQZf+wW250taHzhP0vXDHKsOZX7SQVUSmg4wadKkZRNlREQ8\nSWM1D9vzy887gNOBHYHbW81R5ecd5fB5wIZtp08E5ne45vG2p9meNn78+F6GHxGxXGskeUh6uqQ1\nWs+BPYGrgTOBA8phBwA/Ls/PBPYvo652Au5pNW9FRMToa6rZ6pnA6ZJaMXzP9s8kXQacKulA4Bbg\nDeX4s4BXAHOBB4G3jX7IERHR0kjysP0n4Lkdyu8Edu9QbuDgUQgtIiK60G9DdSMiYgAkeURERG1J\nHhERUVuSR0RE1JbkERERtSV5REREbUkeERFRW5JHRETUluQRERG1JXlERERtSR4REVFbkkdERNSW\n5BEREbUleURERG1JHhERUVuSR0RE1JbkERERtY168pC0oaQLJV0n6RpJ7y3ln5R0m6TZ5fGKtnM+\nKmmupBskvWy0Y46IiCdqYhnaRcAHbF8haQ3gcknnlX1H2v5S+8GStgT2BbYCng2cL2kz24tHNeqI\niHjMqNc8bC+wfUV5fh9wHTBhmFP2AU6x/ZDtm4C5wI69jzQiIobSaJ+HpMnAtsDvStEhkuZImilp\nnVI2Abi17bR5DJ9sIiKixxpLHpJWB04D3mf7XuBYYBNgG2ABcETr0A6ne4hrTpc0S9KshQsX9iDq\niIiAhpKHpJWoEsd3bf8IwPbtthfbfhT4Oo83Tc0DNmw7fSIwv9N1bR9ve5rtaePHj+/dG4iIWM41\nMdpKwAnAdba/3Fa+QdthrwWuLs/PBPaVtLKkKcBU4NLRijciIp6sidFWLwDeAlwlaXYpOwzYT9I2\nVE1SNwMHAdi+RtKpwLVUI7UOzkiriIhmjXrysP0rOvdjnDXMOYcDh/csqIiIqCV3mEdERG1JHhER\nUVuSR0RE1JbkERERtSV5REREbUkeERFRW5JHRETUluQRERG1JXlERERtSR4REVFbkkdERNSW5BER\nEbUleURERG1JHhERUVuSR0RE1JbkERERtSV5REREbU0sQ7tUJO0FfAUYB3zD9ucaDinGiMmH/rTp\nEHrq5s/t3XQIMQYNRM1D0jjgGODlwJZU651v2WxUERHLr0GpeewIzLX9JwBJpwD7ANc2GlVENG4s\n1xz7udY4KMljAnBr2/Y84HlLHiRpOjC9bN4v6YZRiK0J6wF/Ha0X0+dH65WWG/n7DbZR+/s18Lfb\nqNsDByV5qEOZn1RgHw8c3/twmiVplu1pTccRSyd/v8GWv19lIPo8qGoaG7ZtTwTmNxRLRMRyb1CS\nx2XAVElTJD0N2Bc4s+GYIiKWWwPRbGV7kaRDgHOohurOtH1Nw2E1acw3zY1x+fsNtvz9ANlP6jqI\niIgY1qA0W0VERB9J8oiIiNqSPAaEpKdJ2rTpOKI+STt1Uxb9pwzQWbJs7SZi6TdJHgNA0t7AVcB5\nZXsbSac3G1XU8NUOZceMehSxNE6T9NjAIknPpPw/XN4NxGir4NNUd9RfCGB7dmoh/U/SjsDOwHhJ\n72nbtSawUjNRRU1nAd+X9Aaq+8t+AhzabEj9IcljMDxi+2/SE260zzC5/vd0qqksVgTGt5XfB7yh\nkYiiFtvHlqarHwEbAwfb/mXDYfWFJI/BcJ2kNwIrSJoCvBe4pOGYYgS2LwQulPTN1qSeMRiWqCkC\nTAZmA9tK2tb2UaMfVX9J8hgMhwAfBx4FTqe6WfKwRiOKOlaQ9FWqD6DH/s/Z3rOxiGIk45fY/skQ\n5cut3CQY0WOSZgMnAJcDi1vltn/XWFART1GSxwAonePvJ99cB5KkK2xv13QcUZ+knwH72v5b2V4H\nOMl2/y60MUrSbDUYfkj1zfUk2r65xsD4cVlr5nTgoVah7XubCym69KxW4gCwfbekZzcZUL9I8hgM\nj9r+36aDiKX2jvLzP9vKDExqIJaoZ7GkibbnAUjK36xI8hgM+eY6wGxvOPJR0ac+Dvxa0s/L9ouB\ndzUYT99In8cAkHRrh2LbzregASBpVarh1RvZflfpw5pq++yGQ4sulLvKd6Za0fTXtu9oOKS+kOlJ\nBoDtDTs8kjgGx0yq/2u7lO35wGebCydqejGwle3TgZUlbd90QP0gyWMASFpR0rslnVIeM9rn24m+\nN9X2Z4FHAGw/SPUtNvqcpKOpksebS9EDwHHNRdQ/8gE0GI6hmupiZtl+M7AdML2xiKKOhyWtQplS\npswS8HCzIUWXnm97O0lXAti+q9NMu8ujJI/BsJPt57Ztnyvp941FE3V9GvgZMFHSt4EXAQc2G1J0\n6RFJK/B44n8G1UwPy70kj8HwqKTJtm8GkDSZ/AMeGLZ/July4PlUzVUfSqfrwDgGOI1qZuRPAW8E\nPtVsSP0ho60GgKSXUt0k+AeqD59NgQNtn99oYDEsSVNt3yjpOZ32254z2jFFfZK2Avag+r93vu2r\nGw6pLyR5DIgy3HMLqn/A19r+e8MhxQgknWD7QEmdpvC27V1HPaioRdIWwD+VzetsX99kPP0kyWNA\nlIWFJvPEua2+11hAEWOYpDWp1vCYCsyh+tK2NXAj8Drb9zUYXl9I8hgAkr4FbEm1nkBrbivbfndj\nQcWIJL16uP22zxytWKIeSf9D1Un+QduLS9mKwOeBFW2/t8n4+kGSxwCQdD2wpe10kg8QSd8ZZrdt\n7z9qwUQtkq4FnmN70RLlTwN+b3uLZiLrHxltNRiuoVrONCN0BojttzQdQyy1h5dMHAC2H5b0UKcT\nljdJHn1M0ulUVec1qZaivYQnToz4uqZii5FJei9wn+2ZS5QfQlXrz0zJ/WsVSf/Mk2cCELByA/H0\nnTRb9TFJuw+33/YFoxVL1CfpKmCa7YeWKF8FuNR2xyG80bwhRsg9xvYuw+1fHqTm0cdsXyDplVT3\ndVyVZDF4lkwcpewfkjK3VR9rJQdJK9l+pH1f5pWrZGLEPibpf4FDgQnAFyQd1nBIUZOk8R3K1icT\nIw6KTuvMXzrqUfShZND+9mJgG9uLJD0duIhM5T1IjgB+Kun/AVeUsu2BL5V90adKgt8AWHWJvo81\ngdUaC6yPJHn0t8dGfNh+oEzQFgPC9rck/RX4ArAV1eCHa4HDbf+k0eBiJHsDbwcmAl9tK7+XJy4n\nvNxKh3kfk/Qg0JoOQcDmZVtU9wls11RsEcsDSW+0fWrTcfSj1Dz62z83HUDEcu4Xkr4GTLD9Sklb\nAjva/lbDcTUuNY+IiCFI+inwXeAjtp8raSXgCtvL/Re7tKH3MUkXlZ93S7qr7XG3pLuaji9iObB+\nmYD0UYAybHfx8KcsH9Js1d9eXH6u12gU8ZRIWgf4OPACqk7zXwH/ZfvuRgOLbjwgaV0eX0lwB2C5\nn1EX0mwV0XOSzgEuAU4qRf8KvMD2ns1FFd2QNA34CtVoud9T3XP1etuzGw2sDyR5RPSYpMttbz9S\nWfSnMpNu+0JsDzccUl9In0dE710k6fWtDUmvA85uMJ7oUlnB8/3Au0ptY5KklzccVl9IzaPPSRoH\nnGX7ZU3HEvVIupuqrVzAWsAiqo7XpwF/s71ug+FFFySdDFwF/KvtrSWtBvza9rYNh9a4dJj3OduL\nJT0saU3b9zYdT9SSgQ6Db6rtPiBvAAAJk0lEQVTt/SS9AcD2g5nUspLkMRjuB34v6VzggVah7fc3\nF1KMpLV8KYCkfYGNbX9W0kTgmcDljQUX3Xq4TKHfGm01BUifB0keg+L88ogBJOloYCVgV6qJLR8E\njgN2aDKu6MqngZ8BEyV9G3gRcGCzIfWH9HkMiLKGwKZlc26nJTKjP0m6wvZ2kq5stZVL+r3t5zYd\nW4ysTKv/fKq+q9/YznLQpOYxECTtAnwHuI3qH/CzJL3F9q+bjSy69EiZEbnV9PEMyh3L0d8kfRO4\nGPil7blNx9NPUvMYAJJmAfvbvrZsbwF8x/a0ZiOLbkjaH3gtMA2YCbwR+JTtUxoNLEYkaU/ghcAu\nwIZU/VQX2z6m0cD6QJLHAJA0Z8n1rjuVRf+StBWwB1XN8XzbVzccUnSp1Bq3A3YHDqZaZ2fT4c8a\n+5I8BoCkbwEPUTVdAfwbsJrtAxoLKkYk6UvAr6nayW9vOp6or0wtsxZwGfBL4Fe25zcbVX/IHeaD\nYQbwR+DDwEeAPwEHNRpRdGMesB8wS9JcSSdKOqgsaxqD4Q9UN3dOBTYDNpW0crMh9YfUPPqYpHNt\n7ynps7YPazqeWHqSJlGN2NmZaonT9Wyv3WxU0S1JawH7Ax+kmqZ91YZDalxGW/W3iZJeALy2TJPw\nhDtbbc9pJqyoo6w+93yqKdm3Bm4CTm40qBiWpBVtL5I0g6qzfAdgAXAiVfPVci81jz4m6U3AO4Cd\ngCWngLbtXUc/quiWpLOBdYGrqaZkvwS42vlP1/fa7s35KNVQ3csym+4TJXkMAEmfsv2JpuOIeiSd\nQFXTuBf4bXlckkWg+l/7DZ3RWZJHRI+VlQR3pmq62glYG/i97Uxz0ackzQO+PNR+20PuW16kzyOi\n9+4H7gLuBu6hWpXu6Y1GFCMZB6zOEv2M8bjUPCJ6RNIXqWobW1D1e/ymPH5t+84mY4vhtfo8mo6j\nn6Xm0efKYlBXZBK9gbQA+ABwue1Hmg4makmNYwSpeQyAMkz3g7ZvazqWiOWBpHVt39V0HP0sNY/B\nsB5wnaTf8sTFoF7XXEgRY1cSx8iSPAbD55oOICKiXZqtBkRZunSq7QvLspjjbD8w0nnRrPRZxViV\niREHgKS3A2cC3yhFk4AfNxdRdKusY36tpAlNxxKxLKXZajC8B9gR+B2A7T9IemazIUUN6bOKMSfJ\nYzD8w/bDUjV6sDSFxOBIn1WMOUkeg+HXkj4MrCLpxVSrmf1fwzFFl2xf0KnPqum4Ip6KdJgPgFLT\nmA7sSXXz0jnAcZmddTCUPqtDgLVsbyJpM+CrtvdoOLSIpZbkMQAkHWL76JHKoj9Jmk3ps2rN1Crp\nKttZUTAGVkZbDYa3dyjLjKyD4x/ta0GkzyrGgvR59LGyGNS+wBRJP2rbtQbwt2aiiqWQPqsYc9Js\n1cckTQE2Af4bOLRt133AlZlsbzCkzyrGoiSPASDps7YPG6ks+lP6rGIsSp/HYNirQ9neox5FLK30\nWcWYkz6PPibpIGAGsLmkK9p2rQHMaiaq6Fb6rGIsS/Lob6cCF9Chz8P2Hc2EFDVcCtwJTASOaSu/\nD7iykYgilpH0efQxSU+3/YCkNTvtt33vaMcU9aXPKsaiJI8+Juls2y+XdCtgqpE6j/20PanRAKMr\nndbDlvT7TNMegyzJI6JH2vusgOvbdq0BzLK9XyOBRSwDSR4DQNJM4JfAL23PbTqe6I6kdYBnkD6r\nGIOSPAaApD2BFwK7ABsClwMX2z5m2BOjUemzirEsyWNASFoB2A7YnWp6i4dtb9psVDGc9FnFWJbk\nMQAknQOsBVxG1Xz1K9vzm40qIpZnucN8MPwBWARMBTYDNpW0crMhRbckzZT0NkmpKcaYkZrHAJG0\nFrA/8EFgfdurNhxSdCF9VjEWJXn0MUkr2l4kaQbVB88OwALgYqqRV+c2GmB0LX1WMdZkepL+dinV\nB846wFeBy9oXFYrB0KHPaqf0WcWgS/LobwKw/d9NBxJPyR+Aban6rG4H/iLpTtsPNRtWxNJLs1Uf\nkzQP+PJQ+20PuS/6T/qsYixJzaO/jQNWp9RAYrAM02d1IlXzVcTASvLobwtsf7rpIGKppc8qxqwk\nj/6WGsdgS59VjFnp8+hjkta1fVfTccTSSZ9VjGWpefSxJI6Blz6rGLNS84jokU6LQEWMFZnbKqJ3\nUuOIMSs1j4geSZ9VjGVJHhERUVuarSIiorYkj4iIqC3JI8Y0SZMlXb1E2SclfbCHr3nzUOWSriqP\nayX919Iu6iXp2ZJ++JQCjXgKkjwiloKkpb1H6sW2/xnYEdgYOH5pLmJ7vu3XL2UMEU9Zkkcs1yS9\np9QC5kg6pZQ9vSwde5mkKyXtU8rfKukHkn4CnCtpA0kXS5ot6WpJu5TLLhzpdW3fD8wAXiNp3XL9\nD5XXnCPpU6Xs85Le3RbvJyV9oL1GJWmcpC+VGs0cSf9eyreXdJGkyyWdI2mDod5zRF25wzyWd4cC\nU2w/JGntUvYx4Oe2317KLpV0ftm3M/Ac23dJ+gBwju3DJY0DVgOwvUM3L2z7Xkk3AVPLdO1TqWok\nAs6UtCtwCvA/VBMrArwR2IsnfvGbDkwBti2z+K4raSXgf4F9bC+U9CbgcODtQ7zniFqSPGKsG2os\neqt8DvBdSWcAZ5SyPYFXt/WLrAJMKs/Pa7t34zJgZvmgPsP27KWIr3Uj4Z7lcWXZXh2YavsESetL\nejYwHrjb9i2SJrddYw/gONuLoJrWRtLWwNbAeZKgmiplwTDvOaKWJI8Y6+6kmhK93brATeX53sCu\nwKuB/5S0FdUH+r/YvqH9JEnPAx5obdu+uNQO9ga+I+mLtk/sNjBJawCTqVYaFPDftr/W4dAfAq8H\nnkVVE3nSpXhykhRwje2dOxz/pPfcSjwR3UqfR4xppW9hgaTdobrrm6rZ51eSVgA2tH0h8GFgbapv\n/OcA/67ylV3Stp2uLWkj4A7bXwdOoFq7oyuSVqdqijrD9t3lNd9eypE0QdL65fBTgH2pEkinEVbn\nAjNanfjlPd4AjJe0cylbSdJWw7zniFpS84jlwf7AMZKOKNufsv3H0tx0UulvEHCk7b9J+gxVP8Oc\nkkBuBl7Z4bq7AR+S9Ahwf3mdkVxYrrkCcDrwGQDb50raAvhtyVn3A2+mSk7XlFrKbbYXdLjmN4DN\nSryPAF+3fbSk1wNHlfe3YnlPf+j0nruIO+IJMj1JRETUlmariIioLckjIiJqS/KIiIjakjwiIqK2\nJI+IiKgtySMiImpL8oiIiNqSPCIiorb/D+42/yi3MsfxAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x22032d6ad30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot of the devices mostly used by users\n",
    "df['category'] = df['source'].str.split(\">\").str[1].str.slice(0,-3).value_counts().plot(kind=\"bar\")\n",
    "plt.title('Devices Users Tweet From ')\n",
    "plt.xlabel('Users\\' Devices')\n",
    "plt.ylabel('Frequency')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is seen from the chart above that tweets emanates more from Iphone users. Which is more of the mobile users."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Correlation between retweets and favorites"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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fbCOiIS3Rwb2zcxifnRyXbfVlEgSFEKKNQuEIB8t9BMOxT4MWjmj+/OE2Xvva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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x22035ec8320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "snb.jointplot(x=\"retweet_count\", y=\"favorite_count\",\n",
    "              data = df[[\"retweet_count\", \"favorite_count\"]],kind='reg')\n",
    "plt.suptitle('Correlation between retweets and favorites', fontsize=14)\n",
    "plt.xlabel('No. of retweets', fontsize=14)\n",
    "plt.ylabel('No of favorites', fontsize=14);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the above plot, favorites and retweets have a strongly positive correlation. This is expected since retweets exposes the ratings to more viewers, hence, increasing the number of favorites. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#save file\n",
    "df.to_csv('twitter_archive_master.csv', index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Summary"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the analysis and Visualization done it is seen that mobile users, especially Iphone users tweet more than any other device, it is also seen that the highest dog rate is 12 and the favourites and retweets has strong correlation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}