wrangle_act.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
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        "col": 0,
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    }
   },
   "source": [
    "# Project: Wrangling and Analyze Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Gathering\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "hidden": true
       },
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>in_reply_to_status_id</th>\n",
       "      <th>in_reply_to_user_id</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>retweeted_status_id</th>\n",
       "      <th>retweeted_status_user_id</th>\n",
       "      <th>retweeted_status_timestamp</th>\n",
       "      <th>expanded_urls</th>\n",
       "      <th>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "      <th>name</th>\n",
       "      <th>doggo</th>\n",
       "      <th>floofer</th>\n",
       "      <th>pupper</th>\n",
       "      <th>puppo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>892420643555336193</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-08-01 16:23:56 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Phineas. He's a mystical boy. Only eve...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/892420643...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Phineas</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>892177421306343426</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-08-01 00:17:27 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Tilly. She's just checking pup on you....</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/892177421...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Tilly</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-31 00:18:03 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Archie. He is a rare Norwegian Pouncin...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/891815181...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Archie</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-30 15:58:51 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Darla. She commenced a snooze mid meal...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/891689557...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Darla</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-29 16:00:24 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Franklin. He would like you to stop ca...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/891327558...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Franklin</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <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>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",
       "...                  ...                    ...                  ...   \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",
       "...                         ...   \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",
       "...                                                 ...   \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",
       "...                                                 ...                  ...   \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",
       "...                        ...                        ...   \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",
       "...                                                 ...               ...   \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",
       "...                  ...       ...   ...     ...    ...   ...  \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": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "archive = pd.read_csv('twitter-archive-enhanced.csv')\n",
    "\n",
    "archive"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. Use the Requests library to download the tweet image prediction (image_predictions.tsv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#programmatical dowldload of the image prediction file\n",
    "folder_name = 'image_predictions'\n",
    "if not os.path.exists(folder_name):\n",
    "    os.makedirs(folder_name)\n",
    "    \n",
    "url = 'https://d17h27t6h515a5.cloudfront.net/topher/2017/August/599fd2ad_image-predictions/image-predictions.tsv'\n",
    "response = requests.get(url)\n",
    "\n",
    "with open(os.path.join(folder_name,\n",
    "                      url.split('/')[-1]), mode='wb') as file:\n",
    "    file.write(response.content)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [200]>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#the out of response shows it was a success\n",
    "response"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       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ter\\t0.025678700000000002\\tFalse\\n847971574464610304\\thttps://pbs.twimg.com/media/C8SZH1EWAAAIRRF.jpg\\t1\\tcoffee_mug\\t0.633652\\tFalse\\tcup\\t0.273392\\tFalse\\ttoilet_tissue\\t0.0666558\\tFalse\\n848212111729840128\\thttps://pbs.twimg.com/media/C8V0aI5V0AAgO9m.jpg\\t1\\tBedlington_terrier\\t0.333486\\tTrue\\tIbizan_hound\\t0.245797\\tTrue\\twallaby\\t0.13164700000000001\\tFalse\\n848324959059550208\\thttps://pbs.twimg.com/media/C8XbDR1WAAAxND8.jpg\\t1\\tmalamute\\t0.5445760000000001\\tTrue\\tSiberian_husky\\t0.29026799999999997\\tTrue\\tEskimo_dog\\t0.154421\\tTrue\\n848690551926992896\\thttps://pbs.twimg.com/media/C8cnjHuXsAAoZQf.jpg\\t1\\tflat-coated_retriever\\t0.8236479999999999\\tTrue\\tNewfoundland\\t0.10057100000000001\\tTrue\\tgroenendael\\t0.038309699999999995\\tTrue\\n849051919805034497\\thttps://pbs.twimg.com/media/C8hwNxbXYAAwyVG.jpg\\t1\\tfountain\\t0.997509\\tFalse\\tAmerican_black_bear\\t0.00141312\\tFalse\\tsundial\\t0.000681115\\tFalse\\n849336543269576704\\thttps://pbs.twimg.com/media/C8lzFC4XcAAQxB4.jpg\\t1\\tpatio\\t0.521788\\tFalse\\tprison\\t0.149544\\tFalse\\trestaurant\\t0.027152600000000002\\tFalse\\n849412302885593088\\thttps://pbs.twimg.com/media/C8m3-iQVoAAETnF.jpg\\t4\\tschipperke\\t0.907559\\tTrue\\tcrossword_puzzle\\t0.017933900000000003\\tFalse\\tChihuahua\\t0.016190700000000002\\tTrue\\n849776966551130114\\thttps://pbs.twimg.com/media/C8sDpDWWsAE5P08.jpg\\t2\\tChihuahua\\t0.292092\\tTrue\\ttoy_terrier\\t0.136852\\tTrue\\tbonnet\\t0.103111\\tFalse\\n850019790995546112\\thttps://pbs.twimg.com/media/C8vgfTsXgAA561h.jpg\\t3\\tShetland_sheepdog\\t0.759907\\tTrue\\tcollie\\t0.107405\\tTrue\\tPembroke\\t0.05233530000000001\\tTrue\\n850145622816686080\\thttps://pbs.twimg.com/media/C8xS655XkAAv9vo.jpg\\t2\\ttennis_ball\\t0.7147979999999999\\tFalse\\tkelpie\\t0.10539000000000001\\tTrue\\tmalinois\\t0.05855269999999999\\tTrue\\n850380195714523136\\thttps://pbs.twimg.com/ext_tw_video_thumb/850380153985355777/pu/img/lFouhg-EZvJs8eMr.jpg\\t1\\tYorkshire_terrier\\t0.24901199999999998\\tTrue\\tMaltese_dog\\t0.166364\\tTrue\\tShih-Tzu\\t0.142254\\tTrue\\n850753642995093505\\thttps://pbs.twimg.com/media/C8576jrW0AEYWFy.jpg\\t1\\tpug\\t0.9969520000000001\\tTrue\\tbull_mastiff\\t0.000995901\\tTrue\\tFrench_bulldog\\t0.00088338\\tTrue\\n851224888060895234\\thttps://pbs.twimg.com/media/C9AohFoWsAUmxDs.jpg\\t3\\tcar_mirror\\t0.971512\\tFalse\\tseat_belt\\t0.00706346\\tFalse\\tstandard_poodle\\t0.00568265\\tTrue\\n851464819735769094\\thttps://pbs.twimg.com/media/C9ECujZXsAAPCSM.jpg\\t2\\tweb_site\\t0.9196489999999999\\tFalse\\tmenu\\t0.0263061\\tFalse\\tcrossword_puzzle\\t0.00348151\\tFalse\\n851591660324737024\\thttps://pbs.twimg.com/media/C9F2FG5WAAAJ0iN.jpg\\t1\\tCardigan\\t0.394507\\tTrue\\tChihuahua\\t0.077254\\tTrue\\tFrench_bulldog\\t0.07655880000000001\\tTrue\\n851861385021730816\\thttps://pbs.twimg.com/media/C8W6sY_W0AEmttW.jpg\\t1\\tpencil_box\\t0.662183\\tFalse\\tpurse\\t0.0665055\\tFalse\\tpillow\\t0.0447253\\tFalse\\n851953902622658560\\thttps://pbs.twimg.com/media/C4KHj-nWQAA3poV.jpg\\t1\\tStaffordshire_bullterrier\\t0.757547\\tTrue\\tAmerican_Staffordshire_terrier\\t0.14995\\tTrue\\tChesapeake_Bay_retriever\\t0.047522699999999994\\tTrue\\n852189679701164033\\thttps://pbs.twimg.com/media/C9OV99SXsAEmj1U.jpg\\t1\\tbarrow\\t0.42315\\tFalse\\tBernese_mountain_dog\\t0.41537399999999997\\tTrue\\tEntleBucher\\t0.0673454\\tTrue\\n852226086759018497\\thttps://pbs.twimg.com/ext_tw_video_thumb/852223481894903808/pu/img/JWNq40ol4DXvHoUP.jpg\\t1\\tprison\\t0.35279299999999997\\tFalse\\tdishwasher\\t0.110723\\tFalse\\tfile\\t0.094112\\tFalse\\n852311364735569921\\thttps://pbs.twimg.com/media/C9QEqZ7XYAIR7fS.jpg\\t1\\tbarbell\\t0.9715809999999999\\tFalse\\tdumbbell\\t0.028417900000000003\\tFalse\\tgo-kart\\t5.59504e-07\\tFalse\\n852553447878664193\\thttps://pbs.twimg.com/media/C9Tg1bPW0AkAMDI.jpg\\t1\\tbloodhound\\t0.186498\\tTrue\\tBrabancon_griffon\\t0.13902799999999998\\tTrue\\tRottweiler\\t0.12594\\tTrue\\n852672615818899456\\thttps://pbs.twimg.com/media/C9VNNp1XkAEWRFb.jpg\\t1\\tgolden_retriever\\t0.7112350000000001\\tTrue\\totterhound\\t0.0682347\\tTrue\\tSussex_spaniel\\t0.0465617\\tTrue\\n852912242202992640\\thttps://pbs.twimg.com/media/C9YnKK3VoAAxn1E.jpg\\t1\\tGreat_Dane\\t0.7837649999999999\\tTrue\\tRhodesian_ridgeback\\t0.114147\\tTrue\\tEnglish_foxhound\\t0.0464395\\tTrue\\n853299958564483072\\thttps://pbs.twimg.com/media/C9eHyF7XgAAOxPM.jpg\\t1\\tgrille\\t0.65228\\tFalse\\tbeach_wagon\\t0.112846\\tFalse\\tconvertible\\t0.0862523\\tFalse\\n853639147608842240\\thttps://pbs.twimg.com/media/C9i8RhhXoAAdkMT.jpg\\t1\\tGerman_shepherd\\t0.509879\\tTrue\\tmalinois\\t0.23731100000000002\\tTrue\\tkelpie\\t0.0469162\\tTrue\\n853760880890318849\\thttps://pbs.twimg.com/media/C9kq_bbVwAAuRZd.jpg\\t1\\tminiature_pinscher\\t0.29251900000000003\\tTrue\\tChihuahua\\t0.120946\\tTrue\\tRottweiler\\t0.11949000000000001\\tTrue\\n854010172552949760\\thttps://pbs.twimg.com/media/C9oNt91WAAAFSLS.jpg\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or_retriever\\t0.522644\\tTrue\\tkuvasz\\t0.332461\\tTrue\\tdalmatian\\t0.0320081\\tTrue\\n868552278524837888\\thttps://pbs.twimg.com/media/DA23sCeVoAE3uF0.jpg\\t1\\twhippet\\t0.378151\\tTrue\\tItalian_greyhound\\t0.275935\\tTrue\\tAmerican_Staffordshire_terrier\\t0.09499060000000001\\tTrue\\n868622495443632128\\thttps://pbs.twimg.com/media/DA33i0XXsAEQtCA.jpg\\t1\\tLabrador_retriever\\t0.868107\\tTrue\\tGreat_Pyrenees\\t0.060973\\tTrue\\tSaint_Bernard\\t0.0334889\\tTrue\\n868880397819494401\\thttps://pbs.twimg.com/media/DA7iHL5U0AA1OQo.jpg\\t1\\tlaptop\\t0.153718\\tFalse\\tFrench_bulldog\\t0.0999839\\tTrue\\tprinter\\t0.0771299\\tFalse\\n869227993411051520\\thttps://pbs.twimg.com/media/DBAePiVXcAAqHSR.jpg\\t1\\tPembroke\\t0.664181\\tTrue\\tChihuahua\\t0.169234\\tTrue\\tCardigan\\t0.1327\\tTrue\\n869596645499047938\\thttps://pbs.twimg.com/media/DBFtiYqWAAAsjj1.jpg\\t1\\tChihuahua\\t0.9551559999999999\\tTrue\\ttoy_terrier\\t0.00805373\\tTrue\\tmuzzle\\t0.00629563\\tFalse\\n869702957897576449\\thttps://pbs.twimg.com/media/DBHOOfOXoAABKlU.jpg\\t1\\tPembroke\\t0.993449\\tTrue\\tCardigan\\t0.00632508\\tTrue\\tChihuahua\\t0.000177598\\tTrue\\n869772420881756160\\thttps://pbs.twimg.com/media/DBINZcxXgAQ-R6P.jpg\\t1\\tPembroke\\t0.9801479999999999\\tTrue\\tCardigan\\t0.0192711\\tTrue\\tmalamute\\t0.00013626\\tTrue\\n870063196459192321\\thttps://pbs.twimg.com/media/DBMV3NnXUAAm0Pp.jpg\\t1\\tcomic_book\\t0.534409\\tFalse\\tenvelope\\t0.28072199999999997\\tFalse\\tbook_jacket\\t0.043785500000000005\\tFalse\\n870308999962521604\\thttps://pbs.twimg.com/media/DBP1asiUAAEKZI5.jpg\\t2\\tGreater_Swiss_Mountain_dog\\t0.6227520000000001\\tTrue\\tAppenzeller\\t0.15846300000000002\\tTrue\\tEntleBucher\\t0.148115\\tTrue\\n870374049280663552\\thttps://pbs.twimg.com/media/DBQwlFCXkAACSkI.jpg\\t1\\tgolden_retriever\\t0.841001\\tTrue\\tGreat_Pyrenees\\t0.0992784\\tTrue\\tLabrador_retriever\\t0.0326213\\tTrue\\n870656317836468226\\thttps://pbs.twimg.com/media/DBUxSSTXsAA-Jn1.jpg\\t4\\tPembroke\\t0.9454950000000001\\tTrue\\tCardigan\\t0.0458755\\tTrue\\tbeagle\\t0.00432943\\tTrue\\n870804317367881728\\thttps://pbs.twimg.com/media/DBW35ZsVoAEWZUU.jpg\\t1\\thome_theater\\t0.16829000000000002\\tFalse\\tsandbar\\t0.0980404\\tFalse\\ttelevision\\t0.07972939999999999\\tFalse\\n871032628920680449\\thttps://pbs.twimg.com/media/DBaHi3YXgAE6knM.jpg\\t1\\tkelpie\\t0.39805300000000005\\tTrue\\tmacaque\\t0.0689549\\tFalse\\tdingo\\t0.0506018\\tFalse\\n871515927908634625\\thttps://pbs.twimg.com/media/DBg_HT9WAAEeIMM.jpg\\t2\\tkomondor\\t0.9747809999999999\\tTrue\\tbriard\\t0.020041299999999998\\tTrue\\tswab\\t0.00322824\\tFalse\\n871762521631449091\\thttps://pbs.twimg.com/media/DBkfY58XcAEdzZy.jpg\\t2\\tLabrador_retriever\\t0.921393\\tTrue\\tgolden_retriever\\t0.064608\\tTrue\\tbloodhound\\t0.00338337\\tTrue\\n871879754684805121\\thttps://pbs.twimg.com/media/DBmKAmBXUAE-pQ-.jpg\\t1\\tShetland_sheepdog\\t0.9691709999999999\\tTrue\\tcollie\\t0.0182607\\tTrue\\tPomeranian\\t0.00851534\\tTrue\\n872122724285648897\\thttps://pbs.twimg.com/media/DBpm-5UXcAUeCru.jpg\\t1\\tbasketball\\t0.808396\\tFalse\\tpug\\t0.06673630000000001\\tTrue\\tdalmatian\\t0.054569799999999995\\tTrue\\n872261713294495745\\thttps://pbs.twimg.com/media/DBrlZk2UQAAfAkd.jpg\\t2\\tLabrador_retriever\\t0.9720190000000001\\tTrue\\tflat-coated_retriever\\t0.00817828\\tTrue\\tChesapeake_Bay_retriever\\t0.00735927\\tTrue\\n872486979161796608\\thttps://pbs.twimg.com/media/DBuyRlTUwAAYhG9.jpg\\t1\\tPembroke\\t0.931861\\tTrue\\tCardigan\\t0.037721199999999996\\tTrue\\tChihuahua\\t0.0119667\\tTrue\\n872620804844003328\\thttps://pbs.twimg.com/media/DBwr_hzXkAEnZBW.jpg\\t1\\tcocker_spaniel\\t0.513191\\tTrue\\tSussex_spaniel\\t0.159088\\tTrue\\tstandard_poodle\\t0.149509\\tTrue\\n872820683541237760\\thttps://pbs.twimg.com/media/DBzhx0PWAAEhl0E.jpg\\t3\\tpug\\t0.9991200000000001\\tTrue\\tFrench_bulldog\\t0.00055192\\tTrue\\tbull_mastiff\\t7.28904e-05\\tTrue\\n872967104147763200\\thttps://pbs.twimg.com/media/DB1m871XUAAw5vZ.jpg\\t2\\tLabrador_retriever\\t0.47691300000000003\\tTrue\\tChesapeake_Bay_retriever\\t0.174145\\tTrue\\tGerman_short-haired_pointer\\t0.0928614\\tTrue\\n873213775632977920\\thttps://pbs.twimg.com/media/DB5HTBGXUAE0TiK.jpg\\t1\\tvizsla\\t0.6197819999999999\\tTrue\\tbloodhound\\t0.338069\\tTrue\\tChesapeake_Bay_retriever\\t0.0126763\\tTrue\\n873580283840344065\\thttps://pbs.twimg.com/media/DB-UotKXkAEHXVi.jpg\\t1\\tNewfoundland\\t0.678537\\tTrue\\tTibetan_mastiff\\t0.244022\\tTrue\\tchow\\t0.0485295\\tTrue\\n873697596434513921\\thttps://pbs.twimg.com/media/DA7iHL5U0AA1OQo.jpg\\t1\\tlaptop\\t0.153718\\tFalse\\tFrench_bulldog\\t0.0999839\\tTrue\\tprinter\\t0.0771299\\tFalse\\n874012996292530176\\thttps://pbs.twimg.com/media/DCEeLxjXsAAvNSM.jpg\\t2\\tCardigan\\t0.806674\\tTrue\\tPembroke\\t0.116622\\tTrue\\tkelpie\\t0.0491819\\tTrue\\n874057562936811520\\thttps://pbs.twimg.com/media/DCFGtdoXkAEsqIw.jpg\\t1\\tflat-coated_retriever\\t0.8321770000000001\\tTrue\\tblack-and-tan_coonhound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t0.793469\\tTrue\\ttoy_terrier\\t0.143528\\tTrue\\tcan_opener\\t0.0322529\\tFalse\\n887101392804085760\\thttps://pbs.twimg.com/media/DE-eAq6UwAA-jaE.jpg\\t1\\tSamoyed\\t0.733942\\tTrue\\tEskimo_dog\\t0.0350295\\tTrue\\tStaffordshire_bullterrier\\t0.029704700000000004\\tTrue\\n887343217045368832\\thttps://pbs.twimg.com/ext_tw_video_thumb/887343120832229379/pu/img/6HSuFrW1lzI_9Mht.jpg\\t1\\tMexican_hairless\\t0.330741\\tTrue\\tsea_lion\\t0.275645\\tFalse\\tWeimaraner\\t0.134203\\tTrue\\n887473957103951883\\thttps://pbs.twimg.com/media/DFDw2tyUQAAAFke.jpg\\t2\\tPembroke\\t0.809197\\tTrue\\tRhodesian_ridgeback\\t0.05495\\tTrue\\tbeagle\\t0.0389148\\tTrue\\n887517139158093824\\thttps://pbs.twimg.com/ext_tw_video_thumb/887517108413886465/pu/img/WanJKwssZj4VJvL9.jpg\\t1\\tlimousine\\t0.130432\\tFalse\\ttow_truck\\t0.0291754\\tFalse\\tshopping_cart\\t0.0263208\\tFalse\\n887705289381826560\\thttps://pbs.twimg.com/media/DFHDQBbXgAEqY7t.jpg\\t1\\tbasset\\t0.821664\\tTrue\\tredbone\\t0.0875815\\tTrue\\tWeimaraner\\t0.026236400000000003\\tTrue\\n888078434458587136\\thttps://pbs.twimg.com/media/DFMWn56WsAAkA7B.jpg\\t1\\tFrench_bulldog\\t0.9950260000000001\\tTrue\\tpug\\t0.0009319080000000001\\tTrue\\tbull_mastiff\\t0.000903211\\tTrue\\n888202515573088257\\thttps://pbs.twimg.com/media/DFDw2tyUQAAAFke.jpg\\t2\\tPembroke\\t0.809197\\tTrue\\tRhodesian_ridgeback\\t0.05495\\tTrue\\tbeagle\\t0.0389148\\tTrue\\n888554962724278272\\thttps://pbs.twimg.com/media/DFTH_O-UQAACu20.jpg\\t3\\tSiberian_husky\\t0.700377\\tTrue\\tEskimo_dog\\t0.166511\\tTrue\\tmalamute\\t0.111411\\tTrue\\n888804989199671297\\thttps://pbs.twimg.com/media/DFWra-3VYAA2piG.jpg\\t1\\tgolden_retriever\\t0.46976\\tTrue\\tLabrador_retriever\\t0.184172\\tTrue\\tEnglish_setter\\t0.0734817\\tTrue\\n888917238123831296\\thttps://pbs.twimg.com/media/DFYRgsOUQAARGhO.jpg\\t1\\tgolden_retriever\\t0.714719\\tTrue\\tTibetan_mastiff\\t0.12018399999999999\\tTrue\\tLabrador_retriever\\t0.10550599999999999\\tTrue\\n889278841981685760\\thttps://pbs.twimg.com/ext_tw_video_thumb/889278779352338437/pu/img/VlbFB3v8H8VwzVNY.jpg\\t1\\twhippet\\t0.626152\\tTrue\\tborzoi\\t0.194742\\tTrue\\tSaluki\\t0.027350700000000002\\tTrue\\n889531135344209921\\thttps://pbs.twimg.com/media/DFg_2PVW0AEHN3p.jpg\\t1\\tgolden_retriever\\t0.953442\\tTrue\\tLabrador_retriever\\t0.0138341\\tTrue\\tredbone\\t0.00795775\\tTrue\\n889638837579907072\\thttps://pbs.twimg.com/media/DFihzFfXsAYGDPR.jpg\\t1\\tFrench_bulldog\\t0.99165\\tTrue\\tboxer\\t0.00212864\\tTrue\\tStaffordshire_bullterrier\\t0.00149818\\tTrue\\n889665388333682689\\thttps://pbs.twimg.com/media/DFi579UWsAAatzw.jpg\\t1\\tPembroke\\t0.966327\\tTrue\\tCardigan\\t0.0273557\\tTrue\\tbasenji\\t0.00463323\\tTrue\\n889880896479866881\\thttps://pbs.twimg.com/media/DFl99B1WsAITKsg.jpg\\t1\\tFrench_bulldog\\t0.377417\\tTrue\\tLabrador_retriever\\t0.151317\\tTrue\\tmuzzle\\t0.0829811\\tFalse\\n890006608113172480\\thttps://pbs.twimg.com/media/DFnwSY4WAAAMliS.jpg\\t1\\tSamoyed\\t0.9579790000000001\\tTrue\\tPomeranian\\t0.0138835\\tTrue\\tchow\\t0.00816748\\tTrue\\n890240255349198849\\thttps://pbs.twimg.com/media/DFrEyVuW0AAO3t9.jpg\\t1\\tPembroke\\t0.511319\\tTrue\\tCardigan\\t0.451038\\tTrue\\tChihuahua\\t0.029248200000000002\\tTrue\\n890609185150312448\\thttps://pbs.twimg.com/media/DFwUU__XcAEpyXI.jpg\\t1\\tIrish_terrier\\t0.48757399999999995\\tTrue\\tIrish_setter\\t0.193054\\tTrue\\tChesapeake_Bay_retriever\\t0.118184\\tTrue\\n890729181411237888\\thttps://pbs.twimg.com/media/DFyBahAVwAAhUTd.jpg\\t2\\tPomeranian\\t0.566142\\tTrue\\tEskimo_dog\\t0.17840599999999998\\tTrue\\tPembroke\\t0.0765069\\tTrue\\n890971913173991426\\thttps://pbs.twimg.com/media/DF1eOmZXUAALUcq.jpg\\t1\\tAppenzeller\\t0.34170300000000003\\tTrue\\tBorder_collie\\t0.199287\\tTrue\\tice_lolly\\t0.193548\\tFalse\\n891087950875897856\\thttps://pbs.twimg.com/media/DF3HwyEWsAABqE6.jpg\\t1\\tChesapeake_Bay_retriever\\t0.425595\\tTrue\\tIrish_terrier\\t0.116317\\tTrue\\tIndian_elephant\\t0.07690219999999999\\tFalse\\n891327558926688256\\thttps://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg\\t2\\tbasset\\t0.555712\\tTrue\\tEnglish_springer\\t0.22576999999999997\\tTrue\\tGerman_short-haired_pointer\\t0.175219\\tTrue\\n891689557279858688\\thttps://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg\\t1\\tpaper_towel\\t0.17027799999999998\\tFalse\\tLabrador_retriever\\t0.16808599999999999\\tTrue\\tspatula\\t0.0408359\\tFalse\\n891815181378084864\\thttps://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg\\t1\\tChihuahua\\t0.716012\\tTrue\\tmalamute\\t0.078253\\tTrue\\tkelpie\\t0.0313789\\tTrue\\n892177421306343426\\thttps://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg\\t1\\tChihuahua\\t0.323581\\tTrue\\tPekinese\\t0.0906465\\tTrue\\tpapillon\\t0.0689569\\tTrue\\n892420643555336193\\thttps://pbs.twimg.com/media/DGKD1-bXoAAIAUK.jpg\\t1\\torange\\t0.09704860000000001\\tFalse\\tbagel\\t0.08585110000000001\\tFalse\\tbanana\\t0.07611\\tFalse\\n\""
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#loading its content\n",
    "response.content"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['image-predictions.tsv']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.listdir(folder_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#read the image prediction in 'tsv' into a dataframe\n",
    "prediction = pd.read_csv(\"{}\\image-predictions.tsv\".format(folder_name), sep=\"\\t\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>jpg_url</th>\n",
       "      <th>img_num</th>\n",
       "      <th>p1</th>\n",
       "      <th>p1_conf</th>\n",
       "      <th>p1_dog</th>\n",
       "      <th>p2</th>\n",
       "      <th>p2_conf</th>\n",
       "      <th>p2_dog</th>\n",
       "      <th>p3</th>\n",
       "      <th>p3_conf</th>\n",
       "      <th>p3_dog</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>666020888022790149</td>\n",
       "      <td>https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Welsh_springer_spaniel</td>\n",
       "      <td>0.465074</td>\n",
       "      <td>True</td>\n",
       "      <td>collie</td>\n",
       "      <td>0.156665</td>\n",
       "      <td>True</td>\n",
       "      <td>Shetland_sheepdog</td>\n",
       "      <td>0.061428</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>666029285002620928</td>\n",
       "      <td>https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>redbone</td>\n",
       "      <td>0.506826</td>\n",
       "      <td>True</td>\n",
       "      <td>miniature_pinscher</td>\n",
       "      <td>0.074192</td>\n",
       "      <td>True</td>\n",
       "      <td>Rhodesian_ridgeback</td>\n",
       "      <td>0.072010</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>666033412701032449</td>\n",
       "      <td>https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>German_shepherd</td>\n",
       "      <td>0.596461</td>\n",
       "      <td>True</td>\n",
       "      <td>malinois</td>\n",
       "      <td>0.138584</td>\n",
       "      <td>True</td>\n",
       "      <td>bloodhound</td>\n",
       "      <td>0.116197</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>666044226329800704</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Rhodesian_ridgeback</td>\n",
       "      <td>0.408143</td>\n",
       "      <td>True</td>\n",
       "      <td>redbone</td>\n",
       "      <td>0.360687</td>\n",
       "      <td>True</td>\n",
       "      <td>miniature_pinscher</td>\n",
       "      <td>0.222752</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>666049248165822465</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>miniature_pinscher</td>\n",
       "      <td>0.560311</td>\n",
       "      <td>True</td>\n",
       "      <td>Rottweiler</td>\n",
       "      <td>0.243682</td>\n",
       "      <td>True</td>\n",
       "      <td>Doberman</td>\n",
       "      <td>0.154629</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2070</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>basset</td>\n",
       "      <td>0.555712</td>\n",
       "      <td>True</td>\n",
       "      <td>English_springer</td>\n",
       "      <td>0.225770</td>\n",
       "      <td>True</td>\n",
       "      <td>German_short-haired_pointer</td>\n",
       "      <td>0.175219</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2071</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>paper_towel</td>\n",
       "      <td>0.170278</td>\n",
       "      <td>False</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.168086</td>\n",
       "      <td>True</td>\n",
       "      <td>spatula</td>\n",
       "      <td>0.040836</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2072</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.716012</td>\n",
       "      <td>True</td>\n",
       "      <td>malamute</td>\n",
       "      <td>0.078253</td>\n",
       "      <td>True</td>\n",
       "      <td>kelpie</td>\n",
       "      <td>0.031379</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2073</th>\n",
       "      <td>892177421306343426</td>\n",
       "      <td>https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.323581</td>\n",
       "      <td>True</td>\n",
       "      <td>Pekinese</td>\n",
       "      <td>0.090647</td>\n",
       "      <td>True</td>\n",
       "      <td>papillon</td>\n",
       "      <td>0.068957</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2074</th>\n",
       "      <td>892420643555336193</td>\n",
       "      <td>https://pbs.twimg.com/media/DGKD1-bXoAAIAUK.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>orange</td>\n",
       "      <td>0.097049</td>\n",
       "      <td>False</td>\n",
       "      <td>bagel</td>\n",
       "      <td>0.085851</td>\n",
       "      <td>False</td>\n",
       "      <td>banana</td>\n",
       "      <td>0.076110</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2075 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id                                          jpg_url  \\\n",
       "0     666020888022790149  https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg   \n",
       "1     666029285002620928  https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg   \n",
       "2     666033412701032449  https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg   \n",
       "3     666044226329800704  https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg   \n",
       "4     666049248165822465  https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg   \n",
       "...                  ...                                              ...   \n",
       "2070  891327558926688256  https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg   \n",
       "2071  891689557279858688  https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg   \n",
       "2072  891815181378084864  https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg   \n",
       "2073  892177421306343426  https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg   \n",
       "2074  892420643555336193  https://pbs.twimg.com/media/DGKD1-bXoAAIAUK.jpg   \n",
       "\n",
       "      img_num                      p1   p1_conf  p1_dog                  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",
       "2070        2                  basset  0.555712    True    English_springer   \n",
       "2071        1             paper_towel  0.170278   False  Labrador_retriever   \n",
       "2072        1               Chihuahua  0.716012    True            malamute   \n",
       "2073        1               Chihuahua  0.323581    True            Pekinese   \n",
       "2074        1                  orange  0.097049   False               bagel   \n",
       "\n",
       "       p2_conf  p2_dog                           p3   p3_conf  p3_dog  \n",
       "0     0.156665    True            Shetland_sheepdog  0.061428    True  \n",
       "1     0.074192    True          Rhodesian_ridgeback  0.072010    True  \n",
       "2     0.138584    True                   bloodhound  0.116197    True  \n",
       "3     0.360687    True           miniature_pinscher  0.222752    True  \n",
       "4     0.243682    True                     Doberman  0.154629    True  \n",
       "...        ...     ...                          ...       ...     ...  \n",
       "2070  0.225770    True  German_short-haired_pointer  0.175219    True  \n",
       "2071  0.168086    True                      spatula  0.040836   False  \n",
       "2072  0.078253    True                       kelpie  0.031379    True  \n",
       "2073  0.090647    True                     papillon  0.068957    True  \n",
       "2074  0.085851   False                       banana  0.076110   False  \n",
       "\n",
       "[2075 rows x 12 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prediction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. Use the Tweepy library to query additional data via the Twitter API (tweet_json.txt); \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#The work was based off a provided json_text file \n",
    "#it was read in to a dataframe, \"data\"\n",
    "import json\n",
    "data = []\n",
    "with open('tweet-json.txt','r') as file:\n",
    "     for line in open('tweet-json.txt'):\n",
    "        tweet_json = json.loads(line)\n",
    "        tweet_id = tweet_json['id_str']\n",
    "        favorite_count = tweet_json['favorite_count']\n",
    "        retweet_count = tweet_json['retweet_count']\n",
    "        \n",
    "        data.append({'tweet_id':tweet_id,\n",
    "                    'favorite_count':favorite_count,\n",
    "                    \"retweet_count\":retweet_count})\n",
    "tweet_data = pd.DataFrame(data, columns=[\"tweet_id\", \"favorite_count\", \"retweet_count\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>retweet_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>892420643555336193</td>\n",
       "      <td>39467</td>\n",
       "      <td>8853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>892177421306343426</td>\n",
       "      <td>33819</td>\n",
       "      <td>6514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>25461</td>\n",
       "      <td>4328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>42908</td>\n",
       "      <td>8964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>41048</td>\n",
       "      <td>9774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2349</th>\n",
       "      <td>666049248165822465</td>\n",
       "      <td>111</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2350</th>\n",
       "      <td>666044226329800704</td>\n",
       "      <td>311</td>\n",
       "      <td>147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2351</th>\n",
       "      <td>666033412701032449</td>\n",
       "      <td>128</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2352</th>\n",
       "      <td>666029285002620928</td>\n",
       "      <td>132</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2353</th>\n",
       "      <td>666020888022790149</td>\n",
       "      <td>2535</td>\n",
       "      <td>532</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2354 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id  favorite_count  retweet_count\n",
       "0     892420643555336193           39467           8853\n",
       "1     892177421306343426           33819           6514\n",
       "2     891815181378084864           25461           4328\n",
       "3     891689557279858688           42908           8964\n",
       "4     891327558926688256           41048           9774\n",
       "...                  ...             ...            ...\n",
       "2349  666049248165822465             111             41\n",
       "2350  666044226329800704             311            147\n",
       "2351  666033412701032449             128             47\n",
       "2352  666029285002620928             132             48\n",
       "2353  666020888022790149            2535            532\n",
       "\n",
       "[2354 rows x 3 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweet_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 4,
        "height": 4,
        "hidden": false,
        "row": 28,
        "width": 4
       },
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "source": [
    "## Assessing Data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2356, 17)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "archive.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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",
      " #   Column                      Non-Null Count  Dtype  \n",
      "---  ------                      --------------  -----  \n",
      " 0   tweet_id                    2356 non-null   int64  \n",
      " 1   in_reply_to_status_id       78 non-null     float64\n",
      " 2   in_reply_to_user_id         78 non-null     float64\n",
      " 3   timestamp                   2356 non-null   object \n",
      " 4   source                      2356 non-null   object \n",
      " 5   text                        2356 non-null   object \n",
      " 6   retweeted_status_id         181 non-null    float64\n",
      " 7   retweeted_status_user_id    181 non-null    float64\n",
      " 8   retweeted_status_timestamp  181 non-null    object \n",
      " 9   expanded_urls               2297 non-null   object \n",
      " 10  rating_numerator            2356 non-null   int64  \n",
      " 11  rating_denominator          2356 non-null   int64  \n",
      " 12  name                        2356 non-null   object \n",
      " 13  doggo                       2356 non-null   object \n",
      " 14  floofer                     2356 non-null   object \n",
      " 15  pupper                      2356 non-null   object \n",
      " 16  puppo                       2356 non-null   object \n",
      "dtypes: float64(4), int64(3), object(10)\n",
      "memory usage: 313.0+ KB\n"
     ]
    }
   ],
   "source": [
    "archive.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "doggo  floofer  pupper  puppo\n",
       "None   None     pupper  None     245\n",
       "doggo  None     None    None      83\n",
       "None   None     None    puppo     29\n",
       "doggo  None     pupper  None      12\n",
       "None   floofer  None    None       9\n",
       "doggo  None     None    puppo      1\n",
       "       floofer  None    None       1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "archive.iloc[:,-4:].query('doggo != \"None\" or floofer != \"None\" or pupper != \"None\" or puppo != \"None\"').value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>in_reply_to_status_id</th>\n",
       "      <th>in_reply_to_user_id</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>retweeted_status_id</th>\n",
       "      <th>retweeted_status_user_id</th>\n",
       "      <th>retweeted_status_timestamp</th>\n",
       "      <th>expanded_urls</th>\n",
       "      <th>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "      <th>name</th>\n",
       "      <th>doggo</th>\n",
       "      <th>floofer</th>\n",
       "      <th>pupper</th>\n",
       "      <th>puppo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>892420643555336193</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-08-01 16:23:56 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Phineas. He's a mystical boy. Only eve...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/892420643...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Phineas</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>892177421306343426</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-08-01 00:17:27 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Tilly. She's just checking pup on you....</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/892177421...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Tilly</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-31 00:18:03 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Archie. He is a rare Norwegian Pouncin...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/891815181...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Archie</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-30 15:58:51 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Darla. She commenced a snooze mid meal...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/891689557...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Darla</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-07-29 16:00:24 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Franklin. He would like you to stop ca...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/891327558...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Franklin</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             tweet_id  in_reply_to_status_id  in_reply_to_user_id  \\\n",
       "0  892420643555336193                    NaN                  NaN   \n",
       "1  892177421306343426                    NaN                  NaN   \n",
       "2  891815181378084864                    NaN                  NaN   \n",
       "3  891689557279858688                    NaN                  NaN   \n",
       "4  891327558926688256                    NaN                  NaN   \n",
       "\n",
       "                   timestamp  \\\n",
       "0  2017-08-01 16:23:56 +0000   \n",
       "1  2017-08-01 00:17:27 +0000   \n",
       "2  2017-07-31 00:18:03 +0000   \n",
       "3  2017-07-30 15:58:51 +0000   \n",
       "4  2017-07-29 16:00:24 +0000   \n",
       "\n",
       "                                              source  \\\n",
       "0  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "1  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "3  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "4  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "\n",
       "                                                text  retweeted_status_id  \\\n",
       "0  This is Phineas. He's a mystical boy. Only eve...                  NaN   \n",
       "1  This is Tilly. She's just checking pup on you....                  NaN   \n",
       "2  This is Archie. He is a rare Norwegian Pouncin...                  NaN   \n",
       "3  This is Darla. She commenced a snooze mid meal...                  NaN   \n",
       "4  This is Franklin. He would like you to stop ca...                  NaN   \n",
       "\n",
       "   retweeted_status_user_id retweeted_status_timestamp  \\\n",
       "0                       NaN                        NaN   \n",
       "1                       NaN                        NaN   \n",
       "2                       NaN                        NaN   \n",
       "3                       NaN                        NaN   \n",
       "4                       NaN                        NaN   \n",
       "\n",
       "                                       expanded_urls  rating_numerator  \\\n",
       "0  https://twitter.com/dog_rates/status/892420643...                13   \n",
       "1  https://twitter.com/dog_rates/status/892177421...                13   \n",
       "2  https://twitter.com/dog_rates/status/891815181...                12   \n",
       "3  https://twitter.com/dog_rates/status/891689557...                13   \n",
       "4  https://twitter.com/dog_rates/status/891327558...                12   \n",
       "\n",
       "   rating_denominator      name doggo floofer pupper puppo  \n",
       "0                  10   Phineas  None    None   None  None  \n",
       "1                  10     Tilly  None    None   None  None  \n",
       "2                  10    Archie  None    None   None  None  \n",
       "3                  10     Darla  None    None   None  None  \n",
       "4                  10  Franklin  None    None   None  None  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "archive.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>in_reply_to_status_id</th>\n",
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       "      <th>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "      <th>name</th>\n",
       "      <th>doggo</th>\n",
       "      <th>floofer</th>\n",
       "      <th>pupper</th>\n",
       "      <th>puppo</th>\n",
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       "  </thead>\n",
       "  <tbody>\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",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id  in_reply_to_status_id  in_reply_to_user_id  \\\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",
       "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",
       "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",
       "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",
       "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",
       "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",
       "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  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "archive.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2356"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "archive.tweet_id.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>in_reply_to_status_id</th>\n",
       "      <th>in_reply_to_user_id</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
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       "      <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",
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       "Empty DataFrame\n",
       "Columns: [tweet_id, in_reply_to_status_id, in_reply_to_user_id, timestamp, source, text, retweeted_status_id, retweeted_status_user_id, retweeted_status_timestamp, expanded_urls, rating_numerator, rating_denominator, name, doggo, floofer, pupper, puppo]\n",
       "Index: []"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "archive[archive.text.duplicated()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>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",
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       "      <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>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>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>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>...</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>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>1399 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id  in_reply_to_status_id  in_reply_to_user_id  \\\n",
       "7     890729181411237888                    NaN                  NaN   \n",
       "12    889665388333682689                    NaN                  NaN   \n",
       "23    887473957103951883                    NaN                  NaN   \n",
       "24    887343217045368832                    NaN                  NaN   \n",
       "25    887101392804085760                    NaN                  NaN   \n",
       "...                  ...                    ...                  ...   \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",
       "7     2017-07-28 00:22:40 +0000   \n",
       "12    2017-07-25 01:55:32 +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",
       "...                         ...   \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",
       "7     <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "12    <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",
       "...                                                 ...   \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",
       "7     When you watch your owner call another dog a g...                  NaN   \n",
       "12    Here's a puppo that seems to be on the fence a...                  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",
       "...                                                 ...                  ...   \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",
       "7                          NaN                        NaN   \n",
       "12                         NaN                        NaN   \n",
       "23                         NaN                        NaN   \n",
       "24                         NaN                        NaN   \n",
       "25                         NaN                        NaN   \n",
       "...                        ...                        ...   \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",
       "7     https://twitter.com/dog_rates/status/890729181...                13   \n",
       "12    https://twitter.com/dog_rates/status/889665388...                13   \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",
       "...                                                 ...               ...   \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",
       "7                     10    None  None    None   None   None  \n",
       "12                    10    None  None    None   None  puppo  \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",
       "...                  ...     ...   ...     ...    ...    ...  \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",
       "[1399 rows x 17 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "archive[archive.name.duplicated()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "59"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(archive['expanded_urls'].isnull())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>in_reply_to_status_id</th>\n",
       "      <th>in_reply_to_user_id</th>\n",
       "      <th>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": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "archive.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>in_reply_to_status_id</th>\n",
       "      <th>in_reply_to_user_id</th>\n",
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       "      <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>736</th>\n",
       "      <td>780931614150983680</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-09-28 00:46:20 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>I want to finally rate this iconic puppo who t...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/dog_rates/status/780931614...</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>231</th>\n",
       "      <td>847971574464610304</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-04-01 00:39:12 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @basic_vacek_: I love my new mug easy 13/10...</td>\n",
       "      <td>8.479710e+17</td>\n",
       "      <td>597064155.0</td>\n",
       "      <td>2017-04-01 00:36:55 +0000</td>\n",
       "      <td>https://twitter.com/basic_vacek_/status/847971...</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",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               tweet_id  in_reply_to_status_id  in_reply_to_user_id  \\\n",
       "736  780931614150983680                    NaN                  NaN   \n",
       "231  847971574464610304                    NaN                  NaN   \n",
       "\n",
       "                     timestamp  \\\n",
       "736  2016-09-28 00:46:20 +0000   \n",
       "231  2017-04-01 00:39:12 +0000   \n",
       "\n",
       "                                                source  \\\n",
       "736  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "231  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "\n",
       "                                                  text  retweeted_status_id  \\\n",
       "736  I want to finally rate this iconic puppo who t...                  NaN   \n",
       "231  RT @basic_vacek_: I love my new mug easy 13/10...         8.479710e+17   \n",
       "\n",
       "     retweeted_status_user_id retweeted_status_timestamp  \\\n",
       "736                       NaN                        NaN   \n",
       "231               597064155.0  2017-04-01 00:36:55 +0000   \n",
       "\n",
       "                                         expanded_urls  rating_numerator  \\\n",
       "736  https://twitter.com/dog_rates/status/780931614...                13   \n",
       "231  https://twitter.com/basic_vacek_/status/847971...                13   \n",
       "\n",
       "     rating_denominator  name doggo floofer pupper  puppo  \n",
       "736                  10  None  None    None   None  puppo  \n",
       "231                  10  None  None    None   None   None  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "archive.sample(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "None          745\n",
       "a              55\n",
       "Charlie        12\n",
       "Cooper         11\n",
       "Lucy           11\n",
       "             ... \n",
       "Dex             1\n",
       "Ace             1\n",
       "Tayzie          1\n",
       "Grizzie         1\n",
       "Christoper      1\n",
       "Name: name, Length: 957, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "archive.name.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "a               55\n",
       "the              8\n",
       "an               7\n",
       "very             5\n",
       "just             4\n",
       "quite            4\n",
       "one              4\n",
       "getting          2\n",
       "actually         2\n",
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       "not              2\n",
       "old              1\n",
       "life             1\n",
       "officially       1\n",
       "light            1\n",
       "by               1\n",
       "infuriating      1\n",
       "such             1\n",
       "all              1\n",
       "unacceptable     1\n",
       "this             1\n",
       "his              1\n",
       "my               1\n",
       "incredibly       1\n",
       "space            1\n",
       "Name: name, dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "archive[archive.name.str.islower()].name.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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",
       "2         9\n",
       "1         9\n",
       "75        2\n",
       "15        2\n",
       "420       2\n",
       "0         2\n",
       "80        1\n",
       "144       1\n",
       "17        1\n",
       "26        1\n",
       "20        1\n",
       "121       1\n",
       "143       1\n",
       "44        1\n",
       "60        1\n",
       "45        1\n",
       "50        1\n",
       "99        1\n",
       "204       1\n",
       "1776      1\n",
       "165       1\n",
       "666       1\n",
       "27        1\n",
       "182       1\n",
       "24        1\n",
       "960       1\n",
       "84        1\n",
       "88        1\n",
       "Name: rating_numerator, dtype: int64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "archive.rating_numerator.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10     2333\n",
       "11        3\n",
       "50        3\n",
       "20        2\n",
       "80        2\n",
       "70        1\n",
       "7         1\n",
       "15        1\n",
       "150       1\n",
       "170       1\n",
       "0         1\n",
       "90        1\n",
       "40        1\n",
       "130       1\n",
       "110       1\n",
       "16        1\n",
       "120       1\n",
       "2         1\n",
       "Name: rating_denominator, dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "archive.rating_denominator.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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>jpg_url</th>\n",
       "      <th>img_num</th>\n",
       "      <th>p1</th>\n",
       "      <th>p1_conf</th>\n",
       "      <th>p1_dog</th>\n",
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       "      <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>1827</th>\n",
       "      <td>835297930240217089</td>\n",
       "      <td>https://pbs.twimg.com/media/C5eTCOVUsAAWhvc.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Rottweiler</td>\n",
       "      <td>0.341276</td>\n",
       "      <td>True</td>\n",
       "      <td>Border_terrier</td>\n",
       "      <td>0.336220</td>\n",
       "      <td>True</td>\n",
       "      <td>Gordon_setter</td>\n",
       "      <td>0.045448</td>\n",
       "      <td>True</td>\n",
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       "    <tr>\n",
       "      <th>1502</th>\n",
       "      <td>784517518371221505</td>\n",
       "      <td>https://pbs.twimg.com/media/CuMqhGrXYAQwRqU.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>malamute</td>\n",
       "      <td>0.757764</td>\n",
       "      <td>True</td>\n",
       "      <td>Eskimo_dog</td>\n",
       "      <td>0.151248</td>\n",
       "      <td>True</td>\n",
       "      <td>Siberian_husky</td>\n",
       "      <td>0.084840</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>955</th>\n",
       "      <td>705239209544720384</td>\n",
       "      <td>https://pbs.twimg.com/media/CcmDUjFW8AAqAjc.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.157950</td>\n",
       "      <td>True</td>\n",
       "      <td>toy_terrier</td>\n",
       "      <td>0.089920</td>\n",
       "      <td>True</td>\n",
       "      <td>Mexican_hairless</td>\n",
       "      <td>0.063225</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>670411370698022913</td>\n",
       "      <td>https://pbs.twimg.com/media/CU3HlZtW4AAezbt.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Maltese_dog</td>\n",
       "      <td>0.584397</td>\n",
       "      <td>True</td>\n",
       "      <td>miniature_schnauzer</td>\n",
       "      <td>0.064201</td>\n",
       "      <td>True</td>\n",
       "      <td>toy_poodle</td>\n",
       "      <td>0.060868</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id                                          jpg_url  \\\n",
       "1827  835297930240217089  https://pbs.twimg.com/media/C5eTCOVUsAAWhvc.jpg   \n",
       "1502  784517518371221505  https://pbs.twimg.com/media/CuMqhGrXYAQwRqU.jpg   \n",
       "955   705239209544720384  https://pbs.twimg.com/media/CcmDUjFW8AAqAjc.jpg   \n",
       "231   670411370698022913  https://pbs.twimg.com/media/CU3HlZtW4AAezbt.jpg   \n",
       "\n",
       "      img_num           p1   p1_conf  p1_dog                   p2   p2_conf  \\\n",
       "1827        1   Rottweiler  0.341276    True       Border_terrier  0.336220   \n",
       "1502        2     malamute  0.757764    True           Eskimo_dog  0.151248   \n",
       "955         1    Chihuahua  0.157950    True          toy_terrier  0.089920   \n",
       "231         1  Maltese_dog  0.584397    True  miniature_schnauzer  0.064201   \n",
       "\n",
       "      p2_dog                p3   p3_conf  p3_dog  \n",
       "1827    True     Gordon_setter  0.045448    True  \n",
       "1502    True    Siberian_husky  0.084840    True  \n",
       "955     True  Mexican_hairless  0.063225    True  \n",
       "231     True        toy_poodle  0.060868    True  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prediction.sample(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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",
      " #   Column    Non-Null Count  Dtype  \n",
      "---  ------    --------------  -----  \n",
      " 0   tweet_id  2075 non-null   int64  \n",
      " 1   jpg_url   2075 non-null   object \n",
      " 2   img_num   2075 non-null   int64  \n",
      " 3   p1        2075 non-null   object \n",
      " 4   p1_conf   2075 non-null   float64\n",
      " 5   p1_dog    2075 non-null   bool   \n",
      " 6   p2        2075 non-null   object \n",
      " 7   p2_conf   2075 non-null   float64\n",
      " 8   p2_dog    2075 non-null   bool   \n",
      " 9   p3        2075 non-null   object \n",
      " 10  p3_conf   2075 non-null   float64\n",
      " 11  p3_dog    2075 non-null   bool   \n",
      "dtypes: bool(3), float64(3), int64(2), object(4)\n",
      "memory usage: 152.1+ KB\n"
     ]
    }
   ],
   "source": [
    "prediction.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>0</th>\n",
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       "      <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",
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       "      <td>True</td>\n",
       "      <td>Shetland_sheepdog</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
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       "      <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",
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       "    <tr>\n",
       "      <th>2</th>\n",
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       "      <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",
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       "      <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": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prediction.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>jpg_url</th>\n",
       "      <th>img_num</th>\n",
       "      <th>p1</th>\n",
       "      <th>p1_conf</th>\n",
       "      <th>p1_dog</th>\n",
       "      <th>p2</th>\n",
       "      <th>p2_conf</th>\n",
       "      <th>p2_dog</th>\n",
       "      <th>p3</th>\n",
       "      <th>p3_conf</th>\n",
       "      <th>p3_dog</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1297</th>\n",
       "      <td>752309394570878976</td>\n",
       "      <td>https://pbs.twimg.com/ext_tw_video_thumb/67535...</td>\n",
       "      <td>1</td>\n",
       "      <td>upright</td>\n",
       "      <td>0.303415</td>\n",
       "      <td>False</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.181351</td>\n",
       "      <td>True</td>\n",
       "      <td>Brittany_spaniel</td>\n",
       "      <td>0.162084</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1315</th>\n",
       "      <td>754874841593970688</td>\n",
       "      <td>https://pbs.twimg.com/media/CWza7kpWcAAdYLc.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>pug</td>\n",
       "      <td>0.272205</td>\n",
       "      <td>True</td>\n",
       "      <td>bull_mastiff</td>\n",
       "      <td>0.251530</td>\n",
       "      <td>True</td>\n",
       "      <td>bath_towel</td>\n",
       "      <td>0.116806</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1333</th>\n",
       "      <td>757729163776290825</td>\n",
       "      <td>https://pbs.twimg.com/media/CWyD2HGUYAQ1Xa7.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>cash_machine</td>\n",
       "      <td>0.802333</td>\n",
       "      <td>False</td>\n",
       "      <td>schipperke</td>\n",
       "      <td>0.045519</td>\n",
       "      <td>True</td>\n",
       "      <td>German_shepherd</td>\n",
       "      <td>0.023353</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1345</th>\n",
       "      <td>759159934323924993</td>\n",
       "      <td>https://pbs.twimg.com/media/CU1zsMSUAAAS0qW.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Irish_terrier</td>\n",
       "      <td>0.254856</td>\n",
       "      <td>True</td>\n",
       "      <td>briard</td>\n",
       "      <td>0.227716</td>\n",
       "      <td>True</td>\n",
       "      <td>soft-coated_wheaten_terrier</td>\n",
       "      <td>0.223263</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1349</th>\n",
       "      <td>759566828574212096</td>\n",
       "      <td>https://pbs.twimg.com/media/CkNjahBXAAQ2kWo.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.967397</td>\n",
       "      <td>True</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.016641</td>\n",
       "      <td>True</td>\n",
       "      <td>ice_bear</td>\n",
       "      <td>0.014858</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1903</th>\n",
       "      <td>851953902622658560</td>\n",
       "      <td>https://pbs.twimg.com/media/C4KHj-nWQAA3poV.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Staffordshire_bullterrier</td>\n",
       "      <td>0.757547</td>\n",
       "      <td>True</td>\n",
       "      <td>American_Staffordshire_terrier</td>\n",
       "      <td>0.149950</td>\n",
       "      <td>True</td>\n",
       "      <td>Chesapeake_Bay_retriever</td>\n",
       "      <td>0.047523</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1944</th>\n",
       "      <td>861769973181624320</td>\n",
       "      <td>https://pbs.twimg.com/media/CzG425nWgAAnP7P.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>Arabian_camel</td>\n",
       "      <td>0.366248</td>\n",
       "      <td>False</td>\n",
       "      <td>house_finch</td>\n",
       "      <td>0.209852</td>\n",
       "      <td>False</td>\n",
       "      <td>cocker_spaniel</td>\n",
       "      <td>0.046403</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1992</th>\n",
       "      <td>873697596434513921</td>\n",
       "      <td>https://pbs.twimg.com/media/DA7iHL5U0AA1OQo.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>laptop</td>\n",
       "      <td>0.153718</td>\n",
       "      <td>False</td>\n",
       "      <td>French_bulldog</td>\n",
       "      <td>0.099984</td>\n",
       "      <td>True</td>\n",
       "      <td>printer</td>\n",
       "      <td>0.077130</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2041</th>\n",
       "      <td>885311592912609280</td>\n",
       "      <td>https://pbs.twimg.com/media/C4bTH6nWMAAX_bJ.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.908703</td>\n",
       "      <td>True</td>\n",
       "      <td>seat_belt</td>\n",
       "      <td>0.057091</td>\n",
       "      <td>False</td>\n",
       "      <td>pug</td>\n",
       "      <td>0.011933</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2055</th>\n",
       "      <td>888202515573088257</td>\n",
       "      <td>https://pbs.twimg.com/media/DFDw2tyUQAAAFke.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>Pembroke</td>\n",
       "      <td>0.809197</td>\n",
       "      <td>True</td>\n",
       "      <td>Rhodesian_ridgeback</td>\n",
       "      <td>0.054950</td>\n",
       "      <td>True</td>\n",
       "      <td>beagle</td>\n",
       "      <td>0.038915</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>66 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id                                            jpg_url  \\\n",
       "1297  752309394570878976  https://pbs.twimg.com/ext_tw_video_thumb/67535...   \n",
       "1315  754874841593970688    https://pbs.twimg.com/media/CWza7kpWcAAdYLc.jpg   \n",
       "1333  757729163776290825    https://pbs.twimg.com/media/CWyD2HGUYAQ1Xa7.jpg   \n",
       "1345  759159934323924993    https://pbs.twimg.com/media/CU1zsMSUAAAS0qW.jpg   \n",
       "1349  759566828574212096    https://pbs.twimg.com/media/CkNjahBXAAQ2kWo.jpg   \n",
       "...                  ...                                                ...   \n",
       "1903  851953902622658560    https://pbs.twimg.com/media/C4KHj-nWQAA3poV.jpg   \n",
       "1944  861769973181624320    https://pbs.twimg.com/media/CzG425nWgAAnP7P.jpg   \n",
       "1992  873697596434513921    https://pbs.twimg.com/media/DA7iHL5U0AA1OQo.jpg   \n",
       "2041  885311592912609280    https://pbs.twimg.com/media/C4bTH6nWMAAX_bJ.jpg   \n",
       "2055  888202515573088257    https://pbs.twimg.com/media/DFDw2tyUQAAAFke.jpg   \n",
       "\n",
       "      img_num                         p1   p1_conf  p1_dog  \\\n",
       "1297        1                    upright  0.303415   False   \n",
       "1315        1                        pug  0.272205    True   \n",
       "1333        2               cash_machine  0.802333   False   \n",
       "1345        1              Irish_terrier  0.254856    True   \n",
       "1349        1         Labrador_retriever  0.967397    True   \n",
       "...       ...                        ...       ...     ...   \n",
       "1903        1  Staffordshire_bullterrier  0.757547    True   \n",
       "1944        2              Arabian_camel  0.366248   False   \n",
       "1992        1                     laptop  0.153718   False   \n",
       "2041        1         Labrador_retriever  0.908703    True   \n",
       "2055        2                   Pembroke  0.809197    True   \n",
       "\n",
       "                                  p2   p2_conf  p2_dog  \\\n",
       "1297                golden_retriever  0.181351    True   \n",
       "1315                    bull_mastiff  0.251530    True   \n",
       "1333                      schipperke  0.045519    True   \n",
       "1345                          briard  0.227716    True   \n",
       "1349                golden_retriever  0.016641    True   \n",
       "...                              ...       ...     ...   \n",
       "1903  American_Staffordshire_terrier  0.149950    True   \n",
       "1944                     house_finch  0.209852   False   \n",
       "1992                  French_bulldog  0.099984    True   \n",
       "2041                       seat_belt  0.057091   False   \n",
       "2055             Rhodesian_ridgeback  0.054950    True   \n",
       "\n",
       "                               p3   p3_conf  p3_dog  \n",
       "1297             Brittany_spaniel  0.162084    True  \n",
       "1315                   bath_towel  0.116806   False  \n",
       "1333              German_shepherd  0.023353    True  \n",
       "1345  soft-coated_wheaten_terrier  0.223263    True  \n",
       "1349                     ice_bear  0.014858   False  \n",
       "...                           ...       ...     ...  \n",
       "1903     Chesapeake_Bay_retriever  0.047523    True  \n",
       "1944               cocker_spaniel  0.046403    True  \n",
       "1992                      printer  0.077130   False  \n",
       "2041                          pug  0.011933    True  \n",
       "2055                       beagle  0.038915    True  \n",
       "\n",
       "[66 rows x 12 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prediction[prediction.jpg_url.duplicated()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2075, 12)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prediction.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>img_num</th>\n",
       "      <th>p1_conf</th>\n",
       "      <th>p2_conf</th>\n",
       "      <th>p3_conf</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2.075000e+03</td>\n",
       "      <td>2075.000000</td>\n",
       "      <td>2075.000000</td>\n",
       "      <td>2.075000e+03</td>\n",
       "      <td>2.075000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>7.384514e+17</td>\n",
       "      <td>1.203855</td>\n",
       "      <td>0.594548</td>\n",
       "      <td>1.345886e-01</td>\n",
       "      <td>6.032417e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>6.785203e+16</td>\n",
       "      <td>0.561875</td>\n",
       "      <td>0.271174</td>\n",
       "      <td>1.006657e-01</td>\n",
       "      <td>5.090593e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>6.660209e+17</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.044333</td>\n",
       "      <td>1.011300e-08</td>\n",
       "      <td>1.740170e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>6.764835e+17</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.364412</td>\n",
       "      <td>5.388625e-02</td>\n",
       "      <td>1.622240e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>7.119988e+17</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.588230</td>\n",
       "      <td>1.181810e-01</td>\n",
       "      <td>4.944380e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7.932034e+17</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.843855</td>\n",
       "      <td>1.955655e-01</td>\n",
       "      <td>9.180755e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>8.924206e+17</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.880140e-01</td>\n",
       "      <td>2.734190e-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           tweet_id      img_num      p1_conf       p2_conf       p3_conf\n",
       "count  2.075000e+03  2075.000000  2075.000000  2.075000e+03  2.075000e+03\n",
       "mean   7.384514e+17     1.203855     0.594548  1.345886e-01  6.032417e-02\n",
       "std    6.785203e+16     0.561875     0.271174  1.006657e-01  5.090593e-02\n",
       "min    6.660209e+17     1.000000     0.044333  1.011300e-08  1.740170e-10\n",
       "25%    6.764835e+17     1.000000     0.364412  5.388625e-02  1.622240e-02\n",
       "50%    7.119988e+17     1.000000     0.588230  1.181810e-01  4.944380e-02\n",
       "75%    7.932034e+17     1.000000     0.843855  1.955655e-01  9.180755e-02\n",
       "max    8.924206e+17     4.000000     1.000000  4.880140e-01  2.734190e-01"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prediction.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>retweet_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>906</th>\n",
       "      <td>757729163776290825</td>\n",
       "      <td>0</td>\n",
       "      <td>9299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>563</th>\n",
       "      <td>802323869084381190</td>\n",
       "      <td>18124</td>\n",
       "      <td>6808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>882268110199369728</td>\n",
       "      <td>45880</td>\n",
       "      <td>12118</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               tweet_id  favorite_count  retweet_count\n",
       "906  757729163776290825               0           9299\n",
       "563  802323869084381190           18124           6808\n",
       "50   882268110199369728           45880          12118"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweet_data.sample(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2354, 3)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweet_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2354 entries, 0 to 2353\n",
      "Data columns (total 3 columns):\n",
      " #   Column          Non-Null Count  Dtype \n",
      "---  ------          --------------  ----- \n",
      " 0   tweet_id        2354 non-null   object\n",
      " 1   favorite_count  2354 non-null   int64 \n",
      " 2   retweet_count   2354 non-null   int64 \n",
      "dtypes: int64(2), object(1)\n",
      "memory usage: 55.3+ KB\n"
     ]
    }
   ],
   "source": [
    "tweet_data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>retweet_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>892420643555336193</td>\n",
       "      <td>39467</td>\n",
       "      <td>8853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>892177421306343426</td>\n",
       "      <td>33819</td>\n",
       "      <td>6514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>25461</td>\n",
       "      <td>4328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>42908</td>\n",
       "      <td>8964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>41048</td>\n",
       "      <td>9774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>891087950875897856</td>\n",
       "      <td>20562</td>\n",
       "      <td>3261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>890971913173991426</td>\n",
       "      <td>12041</td>\n",
       "      <td>2158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>890729181411237888</td>\n",
       "      <td>56848</td>\n",
       "      <td>16716</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             tweet_id  favorite_count  retweet_count\n",
       "0  892420643555336193           39467           8853\n",
       "1  892177421306343426           33819           6514\n",
       "2  891815181378084864           25461           4328\n",
       "3  891689557279858688           42908           8964\n",
       "4  891327558926688256           41048           9774\n",
       "5  891087950875897856           20562           3261\n",
       "6  890971913173991426           12041           2158\n",
       "7  890729181411237888           56848          16716"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweet_data.head(8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>retweet_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2354.000000</td>\n",
       "      <td>2354.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>8080.968564</td>\n",
       "      <td>3164.797366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>11814.771334</td>\n",
       "      <td>5284.770364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1415.000000</td>\n",
       "      <td>624.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3603.500000</td>\n",
       "      <td>1473.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>10122.250000</td>\n",
       "      <td>3652.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>132810.000000</td>\n",
       "      <td>79515.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       favorite_count  retweet_count\n",
       "count     2354.000000    2354.000000\n",
       "mean      8080.968564    3164.797366\n",
       "std      11814.771334    5284.770364\n",
       "min          0.000000       0.000000\n",
       "25%       1415.000000     624.500000\n",
       "50%       3603.500000    1473.500000\n",
       "75%      10122.250000    3652.000000\n",
       "max     132810.000000   79515.000000"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweet_data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "484          0\n",
       "585          0\n",
       "164          0\n",
       "588          0\n",
       "909          0\n",
       "         ...  \n",
       "134     106827\n",
       "533     107015\n",
       "65      107956\n",
       "1037    131075\n",
       "412     132810\n",
       "Name: favorite_count, Length: 2354, dtype: int64"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweet_data.favorite_count.sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "290         0\n",
       "1293        2\n",
       "273         3\n",
       "341         3\n",
       "112         3\n",
       "        ...  \n",
       "816     52360\n",
       "1077    52360\n",
       "259     56625\n",
       "533     56625\n",
       "1037    79515\n",
       "Name: retweet_count, Length: 2354, dtype: int64"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweet_data.retweet_count.sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "17    tweet_id\n",
       "29    tweet_id\n",
       "dtype: object"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_columns = pd.Series(list(archive) + list(prediction) + list(tweet_data))\n",
    "all_columns[all_columns.duplicated()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Quality issues\n",
    "1. Column names in prediction table are abbrevated.\n",
    "\n",
    "2. Erroneous datatype (Tweet ID column) in the twitter_archive and image_predition tables\n",
    "\n",
    "3. Missing object values in the name columns, with some having just letter \"a\". \n",
    "\n",
    "4. Missing data in columns(\"expanded_urls\", in_reply_to_status_id , in_reply_to_user_id , retweeted_status_id , retweeted_status_user_id , retweeted_status_timestamp)\n",
    "\n",
    "5. Erroneous datatype for timestamp in the archive table\n",
    "\n",
    "6. Missing values in extended entities in the data table\n",
    "\n",
    "7. Some tweets are retweets and replies and not actually original tweet \n",
    "\n",
    "8. Inconsistent names of dog breed in the prediction table"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 0,
        "height": 7,
        "hidden": false,
        "row": 40,
        "width": 12
       },
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "source": [
    "### Tidiness issues\n",
    "1. There should be a ratings total for the archive table. Twitter archive and tweet_data table should join and be one.\n",
    "\n",
    "2. Five variables in four columns in the twitter_archive table(dog_stage, doggo, floofer, pupper, and puppo)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 4,
        "height": 4,
        "hidden": false,
        "row": 32,
        "width": 4
       },
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "source": [
    "## Cleaning Data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Make copies of original pieces of data\n",
    "archive_clean = archive.copy()\n",
    "prediction_clean = prediction.copy()\n",
    "tweet_data_clean = tweet_data.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Issue #1: \n",
    "- Erroneous datatype (Tweet ID column) in the twitter_archive and image_predition tables\n",
    "- Erroneous datatype for timestamp in the archive table"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Define:  \n",
    "\n",
    "- change the datatypes to string objects\n",
    "- Change the dtype to datetime for timestamp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "#change the datatypes to string objects\n",
    "archive_clean.tweet_id = archive_clean.tweet_id.astype(str)\n",
    "prediction_clean.tweet_id = prediction_clean.tweet_id.astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "archive_clean.timestamp = pd.to_datetime(archive_clean.timestamp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "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",
      " #   Column                      Non-Null Count  Dtype              \n",
      "---  ------                      --------------  -----              \n",
      " 0   tweet_id                    2356 non-null   object             \n",
      " 1   in_reply_to_status_id       78 non-null     float64            \n",
      " 2   in_reply_to_user_id         78 non-null     float64            \n",
      " 3   timestamp                   2356 non-null   datetime64[ns, UTC]\n",
      " 4   source                      2356 non-null   object             \n",
      " 5   text                        2356 non-null   object             \n",
      " 6   retweeted_status_id         181 non-null    float64            \n",
      " 7   retweeted_status_user_id    181 non-null    float64            \n",
      " 8   retweeted_status_timestamp  181 non-null    object             \n",
      " 9   expanded_urls               2297 non-null   object             \n",
      " 10  rating_numerator            2356 non-null   int64              \n",
      " 11  rating_denominator          2356 non-null   int64              \n",
      " 12  name                        2356 non-null   object             \n",
      " 13  doggo                       2356 non-null   object             \n",
      " 14  floofer                     2356 non-null   object             \n",
      " 15  pupper                      2356 non-null   object             \n",
      " 16  puppo                       2356 non-null   object             \n",
      "dtypes: datetime64[ns, UTC](1), float64(4), int64(2), object(10)\n",
      "memory usage: 313.0+ KB\n"
     ]
    }
   ],
   "source": [
    "archive_clean.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "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",
      " #   Column    Non-Null Count  Dtype  \n",
      "---  ------    --------------  -----  \n",
      " 0   tweet_id  2075 non-null   object \n",
      " 1   jpg_url   2075 non-null   object \n",
      " 2   img_num   2075 non-null   int64  \n",
      " 3   p1        2075 non-null   object \n",
      " 4   p1_conf   2075 non-null   float64\n",
      " 5   p1_dog    2075 non-null   bool   \n",
      " 6   p2        2075 non-null   object \n",
      " 7   p2_conf   2075 non-null   float64\n",
      " 8   p2_dog    2075 non-null   bool   \n",
      " 9   p3        2075 non-null   object \n",
      " 10  p3_conf   2075 non-null   float64\n",
      " 11  p3_dog    2075 non-null   bool   \n",
      "dtypes: bool(3), float64(3), int64(1), object(5)\n",
      "memory usage: 152.1+ KB\n"
     ]
    }
   ],
   "source": [
    "prediction_clean.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Issue #2: \n",
    "- Missing object values in the name columns, with some having just letter \"a\"."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Define \n",
    "- Change lowercase to None as \"a\" is not a name."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "archive_clean.loc[archive_clean.name.str.islower(), 'name'] = None\n",
    "archive_clean.name.replace(regex=r'None', value= np.nan, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Charlie       12\n",
       "Lucy          11\n",
       "Cooper        11\n",
       "Oliver        11\n",
       "Lola          10\n",
       "              ..\n",
       "Devón          1\n",
       "Gert           1\n",
       "Dex            1\n",
       "Ace            1\n",
       "Christoper     1\n",
       "Name: name, Length: 931, dtype: int64"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "archive_clean.name.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Issue #3: \n",
    "- Some tweets are retweets and replies and not actually original tweet"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Define \n",
    "- Drop rows with retweets and replies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "retweeted_tweets_indices = archive_clean[archive_clean.retweeted_status_id.notnull()].index.tolist()\n",
    "archive_clean.drop(retweeted_tweets_indices, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>in_reply_to_status_id</th>\n",
       "      <th>in_reply_to_user_id</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>retweeted_status_id</th>\n",
       "      <th>retweeted_status_user_id</th>\n",
       "      <th>retweeted_status_timestamp</th>\n",
       "      <th>expanded_urls</th>\n",
       "      <th>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "      <th>name</th>\n",
       "      <th>doggo</th>\n",
       "      <th>floofer</th>\n",
       "      <th>pupper</th>\n",
       "      <th>puppo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [tweet_id, in_reply_to_status_id, in_reply_to_user_id, timestamp, source, text, retweeted_status_id, retweeted_status_user_id, retweeted_status_timestamp, expanded_urls, rating_numerator, rating_denominator, name, doggo, floofer, pupper, puppo]\n",
       "Index: []"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "archive_clean[archive_clean.retweeted_status_id.notnull()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Issue #4: \n",
    "- Missing data in columns(\"expanded_urls\", in_reply_to_status_id , in_reply_to_user_id , retweeted_status_id , retweeted_status_user_id , retweeted_status_timestamp) \n",
    "- Missing values in extended entities in the data table"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "hidden": true
       },
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "source": [
    "#### Define \n",
    "   #### \"This columns are not quite useful for the analyses\"\n",
    "- Drop some unuseful columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "archive_clean.drop(columns = ['in_reply_to_status_id', 'in_reply_to_user_id',\n",
    "                           'source', 'retweeted_status_id', 'retweeted_status_user_id', \n",
    "                           'retweeted_status_timestamp', 'expanded_urls'], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['tweet_id',\n",
       " 'timestamp',\n",
       " 'text',\n",
       " 'rating_numerator',\n",
       " 'rating_denominator',\n",
       " 'name',\n",
       " 'doggo',\n",
       " 'floofer',\n",
       " 'pupper',\n",
       " 'puppo']"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(archive_clean.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Issue 5: \n",
    "- Column names in prediction table are abbrevated.\n",
    "- Dog predictions are not accurate in all columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Define\n",
    "- Rename column  headers\n",
    "- Drop columns with low or inaccurate prediction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "false_prediction = ~((prediction_clean.p1_dog) | (prediction_clean.p2_dog) | (prediction_clean.p3_dog))\n",
    "false_prediction_dog = prediction_clean[false_prediction].index.tolist()\n",
    "\n",
    "prediction_clean.drop(false_prediction_dog, inplace = True)\n",
    "prediction_clean = prediction_clean.reset_index(drop = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "prediction_clean.rename(columns={'p1' : \"dog_prediction\", 'p1_conf' : \"confidence_percentage\", 'p1_dog' : \"prediction\"}, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "prediction_clean.drop(columns=['p2','p3','p2_conf','p3_conf','p2_dog','p3_dog'], inplace = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>jpg_url</th>\n",
       "      <th>img_num</th>\n",
       "      <th>dog_prediction</th>\n",
       "      <th>confidence_percentage</th>\n",
       "      <th>prediction</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",
       "    </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",
       "    </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",
       "    </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",
       "    </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",
       "    </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          dog_prediction  confidence_percentage  prediction  \n",
       "0        1  Welsh_springer_spaniel               0.465074        True  \n",
       "1        1                 redbone               0.506826        True  \n",
       "2        1         German_shepherd               0.596461        True  \n",
       "3        1     Rhodesian_ridgeback               0.408143        True  \n",
       "4        1      miniature_pinscher               0.560311        True  "
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prediction_clean.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Issue 6: \n",
    "- Inconsistent names of dog breed in the prediction table"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define\n",
    "- Replace _ with space"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "prediction_clean.dog_prediction = prediction_clean.dog_prediction.replace(\n",
    "    regex=r'(_)', value=' ').str.title()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>jpg_url</th>\n",
       "      <th>img_num</th>\n",
       "      <th>dog_prediction</th>\n",
       "      <th>confidence_percentage</th>\n",
       "      <th>prediction</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",
       "    </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",
       "    </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",
       "    </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",
       "    </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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1746</th>\n",
       "      <td>891087950875897856</td>\n",
       "      <td>https://pbs.twimg.com/media/DF3HwyEWsAABqE6.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Chesapeake Bay Retriever</td>\n",
       "      <td>0.425595</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1747</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>Basset</td>\n",
       "      <td>0.555712</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1748</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Paper Towel</td>\n",
       "      <td>0.170278</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1749</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.716012</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1750</th>\n",
       "      <td>892177421306343426</td>\n",
       "      <td>https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.323581</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1751 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id                                          jpg_url  \\\n",
       "0     666020888022790149  https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg   \n",
       "1     666029285002620928  https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg   \n",
       "2     666033412701032449  https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg   \n",
       "3     666044226329800704  https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg   \n",
       "4     666049248165822465  https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg   \n",
       "...                  ...                                              ...   \n",
       "1746  891087950875897856  https://pbs.twimg.com/media/DF3HwyEWsAABqE6.jpg   \n",
       "1747  891327558926688256  https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg   \n",
       "1748  891689557279858688  https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg   \n",
       "1749  891815181378084864  https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg   \n",
       "1750  892177421306343426  https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg   \n",
       "\n",
       "      img_num            dog_prediction  confidence_percentage  prediction  \n",
       "0           1    Welsh Springer Spaniel               0.465074        True  \n",
       "1           1                   Redbone               0.506826        True  \n",
       "2           1           German Shepherd               0.596461        True  \n",
       "3           1       Rhodesian Ridgeback               0.408143        True  \n",
       "4           1        Miniature Pinscher               0.560311        True  \n",
       "...       ...                       ...                    ...         ...  \n",
       "1746        1  Chesapeake Bay Retriever               0.425595        True  \n",
       "1747        2                    Basset               0.555712        True  \n",
       "1748        1               Paper Towel               0.170278       False  \n",
       "1749        1                 Chihuahua               0.716012        True  \n",
       "1750        1                 Chihuahua               0.323581        True  \n",
       "\n",
       "[1751 rows x 6 columns]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prediction_clean"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tidiness\n",
    "- Five variables in four columns in the twitter_archive table(dog_stage, doggo, floofer, pupper, and puppo)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define\n",
    "- Join the doggo, floofer, pupper and puppo to a Dog stage columns. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "archive_clean['dog_stage'] = archive_clean[\n",
    "    ['doggo', 'floofer','pupper','puppo']].apply(lambda x: ', '.join(x), axis=1)\n",
    "\n",
    "archive_clean.drop(columns = ['doggo', 'floofer','pupper','puppo'], inplace = True)\n",
    "\n",
    "archive_clean = archive_clean.replace(regex=r'(None,? ?)', value='').replace(regex=r'(, $)', value='')\n",
    "\n",
    "archive_clean = archive_clean.replace(regex=r'', value= np.nan)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>text</th>\n",
       "      <th>rating_numerator</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>894</th>\n",
       "      <td>759197388317847553</td>\n",
       "      <td>2016-07-30 01:22:17+00:00</td>\n",
       "      <td>This is Luna. She's just heckin precious af I ...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Luna</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2346</th>\n",
       "      <td>666058600524156928</td>\n",
       "      <td>2015-11-16 01:01:59+00:00</td>\n",
       "      <td>Here is the Rand Paul of retrievers folks! He'...</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>550</th>\n",
       "      <td>804738756058218496</td>\n",
       "      <td>2016-12-02 17:27:25+00:00</td>\n",
       "      <td>This is Django. He accidentally opened the fro...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Django</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048</th>\n",
       "      <td>743253157753532416</td>\n",
       "      <td>2016-06-16 01:25:36+00:00</td>\n",
       "      <td>This is Kilo. He cannot reach the snackum. Nif...</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>Kilo</td>\n",
       "      <td>puppo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>448</th>\n",
       "      <td>819006400881917954</td>\n",
       "      <td>2017-01-11 02:21:57+00:00</td>\n",
       "      <td>This is Sunny. She was also a very good First ...</td>\n",
       "      <td>14</td>\n",
       "      <td>10</td>\n",
       "      <td>Sunny</td>\n",
       "      <td>doggo</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id                 timestamp  \\\n",
       "894   759197388317847553 2016-07-30 01:22:17+00:00   \n",
       "2346  666058600524156928 2015-11-16 01:01:59+00:00   \n",
       "550   804738756058218496 2016-12-02 17:27:25+00:00   \n",
       "1048  743253157753532416 2016-06-16 01:25:36+00:00   \n",
       "448   819006400881917954 2017-01-11 02:21:57+00:00   \n",
       "\n",
       "                                                   text  rating_numerator  \\\n",
       "894   This is Luna. She's just heckin precious af I ...                12   \n",
       "2346  Here is the Rand Paul of retrievers folks! He'...                 8   \n",
       "550   This is Django. He accidentally opened the fro...                12   \n",
       "1048  This is Kilo. He cannot reach the snackum. Nif...                10   \n",
       "448   This is Sunny. She was also a very good First ...                14   \n",
       "\n",
       "      rating_denominator    name dog_stage  \n",
       "894                   10    Luna       NaN  \n",
       "2346                  10    None       NaN  \n",
       "550                   10  Django       NaN  \n",
       "1048                  10    Kilo     puppo  \n",
       "448                   10   Sunny     doggo  "
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "archive_clean.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pupper            224\n",
       "doggo              75\n",
       "puppo              24\n",
       "doggo, pupper      10\n",
       "floofer             9\n",
       "doggo, puppo        1\n",
       "doggo, floofer      1\n",
       "Name: dog_stage, dtype: int64"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "archive_clean.dog_stage.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tidiness 2\n",
    "- There should be a ratings total for the archive table. All tables  should join in the end"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define\n",
    "- Calculate the \"rating_numerator\" and \"rating_denominator\" and create a new column \"ratings  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "archive_clean[\"ratings_total\"] = (archive_clean[\"rating_numerator\"] / \n",
    "                            archive_clean[\"rating_denominator\"])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>text</th>\n",
       "      <th>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "      <th>name</th>\n",
       "      <th>dog_stage</th>\n",
       "      <th>ratings_total</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+00:00</td>\n",
       "      <td>This is Phineas. He's a mystical boy. Only eve...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Phineas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>892177421306343426</td>\n",
       "      <td>2017-08-01 00:17:27+00:00</td>\n",
       "      <td>This is Tilly. She's just checking pup on you....</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Tilly</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>2017-07-31 00:18:03+00:00</td>\n",
       "      <td>This is Archie. He is a rare Norwegian Pouncin...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Archie</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>2017-07-30 15:58:51+00:00</td>\n",
       "      <td>This is Darla. She commenced a snooze mid meal...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Darla</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>2017-07-29 16:00:24+00:00</td>\n",
       "      <td>This is Franklin. He would like you to stop ca...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Franklin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             tweet_id                 timestamp  \\\n",
       "0  892420643555336193 2017-08-01 16:23:56+00:00   \n",
       "1  892177421306343426 2017-08-01 00:17:27+00:00   \n",
       "2  891815181378084864 2017-07-31 00:18:03+00:00   \n",
       "3  891689557279858688 2017-07-30 15:58:51+00:00   \n",
       "4  891327558926688256 2017-07-29 16:00:24+00:00   \n",
       "\n",
       "                                                text  rating_numerator  \\\n",
       "0  This is Phineas. He's a mystical boy. Only eve...                13   \n",
       "1  This is Tilly. She's just checking pup on you....                13   \n",
       "2  This is Archie. He is a rare Norwegian Pouncin...                12   \n",
       "3  This is Darla. She commenced a snooze mid meal...                13   \n",
       "4  This is Franklin. He would like you to stop ca...                12   \n",
       "\n",
       "   rating_denominator      name dog_stage  ratings_total  \n",
       "0                  10   Phineas       NaN            1.3  \n",
       "1                  10     Tilly       NaN            1.3  \n",
       "2                  10    Archie       NaN            1.2  \n",
       "3                  10     Darla       NaN            1.3  \n",
       "4                  10  Franklin       NaN            1.2  "
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "archive_clean.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Storing Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "from functools import reduce\n",
    "dfs = [archive_clean, prediction_clean, tweet_data_clean]\n",
    "twitter_archive_master = reduce(lambda left,right: pd.merge(left,right,on='tweet_id', how='inner'), dfs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
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       "      <th>ratings_total</th>\n",
       "      <th>jpg_url</th>\n",
       "      <th>img_num</th>\n",
       "      <th>dog_prediction</th>\n",
       "      <th>confidence_percentage</th>\n",
       "      <th>prediction</th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>retweet_count</th>\n",
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       "      <th>2</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>2017-07-30 15:58:51+00:00</td>\n",
       "      <td>This is Darla. She commenced a snooze mid meal...</td>\n",
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       "      <td>Paper Towel</td>\n",
       "      <td>0.170278</td>\n",
       "      <td>False</td>\n",
       "      <td>42908</td>\n",
       "      <td>8964</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>2017-07-29 16:00:24+00:00</td>\n",
       "      <td>This is Franklin. He would like you to stop ca...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Franklin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.2</td>\n",
       "      <td>https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>Basset</td>\n",
       "      <td>0.555712</td>\n",
       "      <td>True</td>\n",
       "      <td>41048</td>\n",
       "      <td>9774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>891087950875897856</td>\n",
       "      <td>2017-07-29 00:08:17+00:00</td>\n",
       "      <td>Here we have a majestic great white breaching ...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.3</td>\n",
       "      <td>https://pbs.twimg.com/media/DF3HwyEWsAABqE6.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Chesapeake Bay Retriever</td>\n",
       "      <td>0.425595</td>\n",
       "      <td>True</td>\n",
       "      <td>20562</td>\n",
       "      <td>3261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>890971913173991426</td>\n",
       "      <td>2017-07-28 16:27:12+00:00</td>\n",
       "      <td>Meet Jax. He enjoys ice cream so much he gets ...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Jax</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.3</td>\n",
       "      <td>https://pbs.twimg.com/media/DF1eOmZXUAALUcq.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Appenzeller</td>\n",
       "      <td>0.341703</td>\n",
       "      <td>True</td>\n",
       "      <td>12041</td>\n",
       "      <td>2158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>890729181411237888</td>\n",
       "      <td>2017-07-28 00:22:40+00:00</td>\n",
       "      <td>When you watch your owner call another dog a g...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.3</td>\n",
       "      <td>https://pbs.twimg.com/media/DFyBahAVwAAhUTd.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>Pomeranian</td>\n",
       "      <td>0.566142</td>\n",
       "      <td>True</td>\n",
       "      <td>56848</td>\n",
       "      <td>16716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>890609185150312448</td>\n",
       "      <td>2017-07-27 16:25:51+00:00</td>\n",
       "      <td>This is Zoey. She doesn't want to be one of th...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Zoey</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.3</td>\n",
       "      <td>https://pbs.twimg.com/media/DFwUU__XcAEpyXI.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Irish Terrier</td>\n",
       "      <td>0.487574</td>\n",
       "      <td>True</td>\n",
       "      <td>28226</td>\n",
       "      <td>4429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>890240255349198849</td>\n",
       "      <td>2017-07-26 15:59:51+00:00</td>\n",
       "      <td>This is Cassie. She is a college pup. Studying...</td>\n",
       "      <td>14</td>\n",
       "      <td>10</td>\n",
       "      <td>Cassie</td>\n",
       "      <td>doggo</td>\n",
       "      <td>1.4</td>\n",
       "      <td>https://pbs.twimg.com/media/DFrEyVuW0AAO3t9.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Pembroke</td>\n",
       "      <td>0.511319</td>\n",
       "      <td>True</td>\n",
       "      <td>32467</td>\n",
       "      <td>7711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>890006608113172480</td>\n",
       "      <td>2017-07-26 00:31:25+00:00</td>\n",
       "      <td>This is Koda. He is a South Australian decksha...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Koda</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.3</td>\n",
       "      <td>https://pbs.twimg.com/media/DFnwSY4WAAAMliS.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Samoyed</td>\n",
       "      <td>0.957979</td>\n",
       "      <td>True</td>\n",
       "      <td>31166</td>\n",
       "      <td>7624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>889880896479866881</td>\n",
       "      <td>2017-07-25 16:11:53+00:00</td>\n",
       "      <td>This is Bruno. He is a service shark. Only get...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Bruno</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.3</td>\n",
       "      <td>https://pbs.twimg.com/media/DFl99B1WsAITKsg.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>French Bulldog</td>\n",
       "      <td>0.377417</td>\n",
       "      <td>True</td>\n",
       "      <td>28268</td>\n",
       "      <td>5156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>889665388333682689</td>\n",
       "      <td>2017-07-25 01:55:32+00:00</td>\n",
       "      <td>Here's a puppo that seems to be on the fence a...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>puppo</td>\n",
       "      <td>1.3</td>\n",
       "      <td>https://pbs.twimg.com/media/DFi579UWsAAatzw.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Pembroke</td>\n",
       "      <td>0.966327</td>\n",
       "      <td>True</td>\n",
       "      <td>38818</td>\n",
       "      <td>8538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>889638837579907072</td>\n",
       "      <td>2017-07-25 00:10:02+00:00</td>\n",
       "      <td>This is Ted. He does his best. Sometimes that'...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Ted</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.2</td>\n",
       "      <td>https://pbs.twimg.com/media/DFihzFfXsAYGDPR.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>French Bulldog</td>\n",
       "      <td>0.991650</td>\n",
       "      <td>True</td>\n",
       "      <td>27672</td>\n",
       "      <td>4735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>889531135344209921</td>\n",
       "      <td>2017-07-24 17:02:04+00:00</td>\n",
       "      <td>This is Stuart. He's sporting his favorite fan...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Stuart</td>\n",
       "      <td>puppo</td>\n",
       "      <td>1.3</td>\n",
       "      <td>https://pbs.twimg.com/media/DFg_2PVW0AEHN3p.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Golden Retriever</td>\n",
       "      <td>0.953442</td>\n",
       "      <td>True</td>\n",
       "      <td>15359</td>\n",
       "      <td>2321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>889278841981685760</td>\n",
       "      <td>2017-07-24 00:19:32+00:00</td>\n",
       "      <td>This is Oliver. You're witnessing one of his m...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Oliver</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.3</td>\n",
       "      <td>https://pbs.twimg.com/ext_tw_video_thumb/88927...</td>\n",
       "      <td>1</td>\n",
       "      <td>Whippet</td>\n",
       "      <td>0.626152</td>\n",
       "      <td>True</td>\n",
       "      <td>25652</td>\n",
       "      <td>5637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>888917238123831296</td>\n",
       "      <td>2017-07-23 00:22:39+00:00</td>\n",
       "      <td>This is Jim. He found a fren. Taught him how t...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Jim</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.2</td>\n",
       "      <td>https://pbs.twimg.com/media/DFYRgsOUQAARGhO.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Golden Retriever</td>\n",
       "      <td>0.714719</td>\n",
       "      <td>True</td>\n",
       "      <td>29611</td>\n",
       "      <td>4709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>888804989199671297</td>\n",
       "      <td>2017-07-22 16:56:37+00:00</td>\n",
       "      <td>This is Zeke. He has a new stick. Very proud o...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Zeke</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.3</td>\n",
       "      <td>https://pbs.twimg.com/media/DFWra-3VYAA2piG.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Golden Retriever</td>\n",
       "      <td>0.469760</td>\n",
       "      <td>True</td>\n",
       "      <td>26080</td>\n",
       "      <td>4559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>888554962724278272</td>\n",
       "      <td>2017-07-22 00:23:06+00:00</td>\n",
       "      <td>This is Ralphus. He's powering up. Attempting ...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Ralphus</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.3</td>\n",
       "      <td>https://pbs.twimg.com/media/DFTH_O-UQAACu20.jpg</td>\n",
       "      <td>3</td>\n",
       "      <td>Siberian Husky</td>\n",
       "      <td>0.700377</td>\n",
       "      <td>True</td>\n",
       "      <td>20290</td>\n",
       "      <td>3732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>888078434458587136</td>\n",
       "      <td>2017-07-20 16:49:33+00:00</td>\n",
       "      <td>This is Gerald. He was just told he didn't get...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Gerald</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.2</td>\n",
       "      <td>https://pbs.twimg.com/media/DFMWn56WsAAkA7B.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>French Bulldog</td>\n",
       "      <td>0.995026</td>\n",
       "      <td>True</td>\n",
       "      <td>22201</td>\n",
       "      <td>3653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>887705289381826560</td>\n",
       "      <td>2017-07-19 16:06:48+00:00</td>\n",
       "      <td>This is Jeffrey. He has a monopoly on the pool...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Jeffrey</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.3</td>\n",
       "      <td>https://pbs.twimg.com/media/DFHDQBbXgAEqY7t.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Basset</td>\n",
       "      <td>0.821664</td>\n",
       "      <td>True</td>\n",
       "      <td>30779</td>\n",
       "      <td>5609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>887473957103951883</td>\n",
       "      <td>2017-07-19 00:47:34+00:00</td>\n",
       "      <td>This is Canela. She attempted some fancy porch...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Canela</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.3</td>\n",
       "      <td>https://pbs.twimg.com/media/DFDw2tyUQAAAFke.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>Pembroke</td>\n",
       "      <td>0.809197</td>\n",
       "      <td>True</td>\n",
       "      <td>69871</td>\n",
       "      <td>18781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>887343217045368832</td>\n",
       "      <td>2017-07-18 16:08:03+00:00</td>\n",
       "      <td>You may not have known you needed to see this ...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.3</td>\n",
       "      <td>https://pbs.twimg.com/ext_tw_video_thumb/88734...</td>\n",
       "      <td>1</td>\n",
       "      <td>Mexican Hairless</td>\n",
       "      <td>0.330741</td>\n",
       "      <td>True</td>\n",
       "      <td>34222</td>\n",
       "      <td>10737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>887101392804085760</td>\n",
       "      <td>2017-07-18 00:07:08+00:00</td>\n",
       "      <td>This... is a Jubilant Antarctic House Bear. We...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.2</td>\n",
       "      <td>https://pbs.twimg.com/media/DE-eAq6UwAA-jaE.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Samoyed</td>\n",
       "      <td>0.733942</td>\n",
       "      <td>True</td>\n",
       "      <td>31061</td>\n",
       "      <td>6167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>886983233522544640</td>\n",
       "      <td>2017-07-17 16:17:36+00:00</td>\n",
       "      <td>This is Maya. She's very shy. Rarely leaves he...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Maya</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.3</td>\n",
       "      <td>https://pbs.twimg.com/media/DE8yicJW0AAAvBJ.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.793469</td>\n",
       "      <td>True</td>\n",
       "      <td>35859</td>\n",
       "      <td>8084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>886736880519319552</td>\n",
       "      <td>2017-07-16 23:58:41+00:00</td>\n",
       "      <td>This is Mingus. He's a wonderful father to his...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Mingus</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.3</td>\n",
       "      <td>https://pbs.twimg.com/media/DE5Se8FXcAAJFx4.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Kuvasz</td>\n",
       "      <td>0.309706</td>\n",
       "      <td>True</td>\n",
       "      <td>12306</td>\n",
       "      <td>3443</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              tweet_id                 timestamp  \\\n",
       "0   892177421306343426 2017-08-01 00:17:27+00:00   \n",
       "1   891815181378084864 2017-07-31 00:18:03+00:00   \n",
       "2   891689557279858688 2017-07-30 15:58:51+00:00   \n",
       "3   891327558926688256 2017-07-29 16:00:24+00:00   \n",
       "4   891087950875897856 2017-07-29 00:08:17+00:00   \n",
       "5   890971913173991426 2017-07-28 16:27:12+00:00   \n",
       "6   890729181411237888 2017-07-28 00:22:40+00:00   \n",
       "7   890609185150312448 2017-07-27 16:25:51+00:00   \n",
       "8   890240255349198849 2017-07-26 15:59:51+00:00   \n",
       "9   890006608113172480 2017-07-26 00:31:25+00:00   \n",
       "10  889880896479866881 2017-07-25 16:11:53+00:00   \n",
       "11  889665388333682689 2017-07-25 01:55:32+00:00   \n",
       "12  889638837579907072 2017-07-25 00:10:02+00:00   \n",
       "13  889531135344209921 2017-07-24 17:02:04+00:00   \n",
       "14  889278841981685760 2017-07-24 00:19:32+00:00   \n",
       "15  888917238123831296 2017-07-23 00:22:39+00:00   \n",
       "16  888804989199671297 2017-07-22 16:56:37+00:00   \n",
       "17  888554962724278272 2017-07-22 00:23:06+00:00   \n",
       "18  888078434458587136 2017-07-20 16:49:33+00:00   \n",
       "19  887705289381826560 2017-07-19 16:06:48+00:00   \n",
       "20  887473957103951883 2017-07-19 00:47:34+00:00   \n",
       "21  887343217045368832 2017-07-18 16:08:03+00:00   \n",
       "22  887101392804085760 2017-07-18 00:07:08+00:00   \n",
       "23  886983233522544640 2017-07-17 16:17:36+00:00   \n",
       "24  886736880519319552 2017-07-16 23:58:41+00:00   \n",
       "\n",
       "                                                 text  rating_numerator  \\\n",
       "0   This is Tilly. She's just checking pup on you....                13   \n",
       "1   This is Archie. He is a rare Norwegian Pouncin...                12   \n",
       "2   This is Darla. She commenced a snooze mid meal...                13   \n",
       "3   This is Franklin. He would like you to stop ca...                12   \n",
       "4   Here we have a majestic great white breaching ...                13   \n",
       "5   Meet Jax. He enjoys ice cream so much he gets ...                13   \n",
       "6   When you watch your owner call another dog a g...                13   \n",
       "7   This is Zoey. She doesn't want to be one of th...                13   \n",
       "8   This is Cassie. She is a college pup. Studying...                14   \n",
       "9   This is Koda. He is a South Australian decksha...                13   \n",
       "10  This is Bruno. He is a service shark. Only get...                13   \n",
       "11  Here's a puppo that seems to be on the fence a...                13   \n",
       "12  This is Ted. He does his best. Sometimes that'...                12   \n",
       "13  This is Stuart. He's sporting his favorite fan...                13   \n",
       "14  This is Oliver. You're witnessing one of his m...                13   \n",
       "15  This is Jim. He found a fren. Taught him how t...                12   \n",
       "16  This is Zeke. He has a new stick. Very proud o...                13   \n",
       "17  This is Ralphus. He's powering up. Attempting ...                13   \n",
       "18  This is Gerald. He was just told he didn't get...                12   \n",
       "19  This is Jeffrey. He has a monopoly on the pool...                13   \n",
       "20  This is Canela. She attempted some fancy porch...                13   \n",
       "21  You may not have known you needed to see this ...                13   \n",
       "22  This... is a Jubilant Antarctic House Bear. We...                12   \n",
       "23  This is Maya. She's very shy. Rarely leaves he...                13   \n",
       "24  This is Mingus. He's a wonderful father to his...                13   \n",
       "\n",
       "    rating_denominator      name dog_stage  ratings_total  \\\n",
       "0                   10     Tilly       NaN            1.3   \n",
       "1                   10    Archie       NaN            1.2   \n",
       "2                   10     Darla       NaN            1.3   \n",
       "3                   10  Franklin       NaN            1.2   \n",
       "4                   10       NaN       NaN            1.3   \n",
       "5                   10       Jax       NaN            1.3   \n",
       "6                   10       NaN       NaN            1.3   \n",
       "7                   10      Zoey       NaN            1.3   \n",
       "8                   10    Cassie     doggo            1.4   \n",
       "9                   10      Koda       NaN            1.3   \n",
       "10                  10     Bruno       NaN            1.3   \n",
       "11                  10       NaN     puppo            1.3   \n",
       "12                  10       Ted       NaN            1.2   \n",
       "13                  10    Stuart     puppo            1.3   \n",
       "14                  10    Oliver       NaN            1.3   \n",
       "15                  10       Jim       NaN            1.2   \n",
       "16                  10      Zeke       NaN            1.3   \n",
       "17                  10   Ralphus       NaN            1.3   \n",
       "18                  10    Gerald       NaN            1.2   \n",
       "19                  10   Jeffrey       NaN            1.3   \n",
       "20                  10    Canela       NaN            1.3   \n",
       "21                  10       NaN       NaN            1.3   \n",
       "22                  10       NaN       NaN            1.2   \n",
       "23                  10      Maya       NaN            1.3   \n",
       "24                  10    Mingus       NaN            1.3   \n",
       "\n",
       "                                              jpg_url  img_num  \\\n",
       "0     https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg        1   \n",
       "1     https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg        1   \n",
       "2     https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg        1   \n",
       "3     https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg        2   \n",
       "4     https://pbs.twimg.com/media/DF3HwyEWsAABqE6.jpg        1   \n",
       "5     https://pbs.twimg.com/media/DF1eOmZXUAALUcq.jpg        1   \n",
       "6     https://pbs.twimg.com/media/DFyBahAVwAAhUTd.jpg        2   \n",
       "7     https://pbs.twimg.com/media/DFwUU__XcAEpyXI.jpg        1   \n",
       "8     https://pbs.twimg.com/media/DFrEyVuW0AAO3t9.jpg        1   \n",
       "9     https://pbs.twimg.com/media/DFnwSY4WAAAMliS.jpg        1   \n",
       "10    https://pbs.twimg.com/media/DFl99B1WsAITKsg.jpg        1   \n",
       "11    https://pbs.twimg.com/media/DFi579UWsAAatzw.jpg        1   \n",
       "12    https://pbs.twimg.com/media/DFihzFfXsAYGDPR.jpg        1   \n",
       "13    https://pbs.twimg.com/media/DFg_2PVW0AEHN3p.jpg        1   \n",
       "14  https://pbs.twimg.com/ext_tw_video_thumb/88927...        1   \n",
       "15    https://pbs.twimg.com/media/DFYRgsOUQAARGhO.jpg        1   \n",
       "16    https://pbs.twimg.com/media/DFWra-3VYAA2piG.jpg        1   \n",
       "17    https://pbs.twimg.com/media/DFTH_O-UQAACu20.jpg        3   \n",
       "18    https://pbs.twimg.com/media/DFMWn56WsAAkA7B.jpg        1   \n",
       "19    https://pbs.twimg.com/media/DFHDQBbXgAEqY7t.jpg        1   \n",
       "20    https://pbs.twimg.com/media/DFDw2tyUQAAAFke.jpg        2   \n",
       "21  https://pbs.twimg.com/ext_tw_video_thumb/88734...        1   \n",
       "22    https://pbs.twimg.com/media/DE-eAq6UwAA-jaE.jpg        1   \n",
       "23    https://pbs.twimg.com/media/DE8yicJW0AAAvBJ.jpg        2   \n",
       "24    https://pbs.twimg.com/media/DE5Se8FXcAAJFx4.jpg        1   \n",
       "\n",
       "              dog_prediction  confidence_percentage  prediction  \\\n",
       "0                  Chihuahua               0.323581        True   \n",
       "1                  Chihuahua               0.716012        True   \n",
       "2                Paper Towel               0.170278       False   \n",
       "3                     Basset               0.555712        True   \n",
       "4   Chesapeake Bay Retriever               0.425595        True   \n",
       "5                Appenzeller               0.341703        True   \n",
       "6                 Pomeranian               0.566142        True   \n",
       "7              Irish Terrier               0.487574        True   \n",
       "8                   Pembroke               0.511319        True   \n",
       "9                    Samoyed               0.957979        True   \n",
       "10            French Bulldog               0.377417        True   \n",
       "11                  Pembroke               0.966327        True   \n",
       "12            French Bulldog               0.991650        True   \n",
       "13          Golden Retriever               0.953442        True   \n",
       "14                   Whippet               0.626152        True   \n",
       "15          Golden Retriever               0.714719        True   \n",
       "16          Golden Retriever               0.469760        True   \n",
       "17            Siberian Husky               0.700377        True   \n",
       "18            French Bulldog               0.995026        True   \n",
       "19                    Basset               0.821664        True   \n",
       "20                  Pembroke               0.809197        True   \n",
       "21          Mexican Hairless               0.330741        True   \n",
       "22                   Samoyed               0.733942        True   \n",
       "23                 Chihuahua               0.793469        True   \n",
       "24                    Kuvasz               0.309706        True   \n",
       "\n",
       "    favorite_count  retweet_count  \n",
       "0            33819           6514  \n",
       "1            25461           4328  \n",
       "2            42908           8964  \n",
       "3            41048           9774  \n",
       "4            20562           3261  \n",
       "5            12041           2158  \n",
       "6            56848          16716  \n",
       "7            28226           4429  \n",
       "8            32467           7711  \n",
       "9            31166           7624  \n",
       "10           28268           5156  \n",
       "11           38818           8538  \n",
       "12           27672           4735  \n",
       "13           15359           2321  \n",
       "14           25652           5637  \n",
       "15           29611           4709  \n",
       "16           26080           4559  \n",
       "17           20290           3732  \n",
       "18           22201           3653  \n",
       "19           30779           5609  \n",
       "20           69871          18781  \n",
       "21           34222          10737  \n",
       "22           31061           6167  \n",
       "23           35859           8084  \n",
       "24           12306           3443  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_master.head(25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1686, 15)"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_master.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "twitter_archive_master.to_csv('twitter_archive_master.csv', index= False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analyzing and Visualizing Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Insights:\n",
    "1. Common Dog types\n",
    "\n",
    "2. Top rated dogs\n",
    "\n",
    "3. common Dog names\n",
    "\n",
    "4. TOp most liked dogs\n",
    "\n",
    "5. Most retweeted dog "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  Common Dog types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Golden Retriever            139\n",
       "Labrador Retriever           95\n",
       "Pembroke                     88\n",
       "Chihuahua                    79\n",
       "Pug                          54\n",
       "                           ... \n",
       "Polecat                       1\n",
       "Cup                           1\n",
       "Rapeseed                      1\n",
       "Sulphur-Crested Cockatoo      1\n",
       "Hay                           1\n",
       "Name: dog_prediction, Length: 214, dtype: int64"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_master.dog_prediction.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Common Dog name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Lucy          10\n",
       "Charlie       10\n",
       "Cooper        10\n",
       "Tucker         9\n",
       "Oliver         9\n",
       "              ..\n",
       "Klein          1\n",
       "DonDon         1\n",
       "Chevy          1\n",
       "Philbert       1\n",
       "Christoper     1\n",
       "Name: name, Length: 833, dtype: int64"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_master.name.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Top rated Dogs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Pembroke                   4\n",
       "Golden Retriever           2\n",
       "French Bulldog             2\n",
       "Standard Poodle            1\n",
       "Gordon Setter              1\n",
       "Irish Setter               1\n",
       "Pomeranian                 1\n",
       "Rottweiler                 1\n",
       "Bedlington Terrier         1\n",
       "Bloodhound                 1\n",
       "Samoyed                    1\n",
       "Military Uniform           1\n",
       "Black-And-Tan Coonhound    1\n",
       "Chihuahua                  1\n",
       "Old English Sheepdog       1\n",
       "Lakeland Terrier           1\n",
       "Laptop                     1\n",
       "Eskimo Dog                 1\n",
       "Name: dog_prediction, dtype: int64"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_master.query('ratings_total ==1.4').dog_prediction.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Top most liked Dog breed "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dog_prediction\n",
       "Golden Retriever      1696627\n",
       "Labrador Retriever    1123850\n",
       "Pembroke               994755\n",
       "Chihuahua              676441\n",
       "Samoyed                542991\n",
       "                       ...   \n",
       "Ox                        621\n",
       "Seashore                  525\n",
       "Window Shade              345\n",
       "Piggy Bank                344\n",
       "Hay                       258\n",
       "Name: favorite_count, Length: 214, dtype: int64"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_master.groupby(['dog_prediction']).favorite_count.sum().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Top retweeted breed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dog_prediction\n",
       "Golden Retriever      502096\n",
       "Labrador Retriever    366682\n",
       "Pembroke              280367\n",
       "Chihuahua             220695\n",
       "Samoyed               184922\n",
       "                       ...  \n",
       "Seashore                 223\n",
       "Book Jacket              219\n",
       "Window Shade             122\n",
       "Hay                      102\n",
       "Piggy Bank                92\n",
       "Name: retweet_count, Length: 214, dtype: int64"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_master.groupby(['dog_prediction']).retweet_count.sum().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    1686.000000\n",
       "mean        1.089195\n",
       "std         0.250791\n",
       "min         0.000000\n",
       "25%         1.000000\n",
       "50%         1.100000\n",
       "75%         1.200000\n",
       "max         7.500000\n",
       "Name: ratings_total, dtype: float64"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_master.ratings_total.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "      <th>ratings_total</th>\n",
       "      <th>img_num</th>\n",
       "      <th>confidence_percentage</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>1686.000000</td>\n",
       "      <td>1686.000000</td>\n",
       "      <td>1686.000000</td>\n",
       "      <td>1686.000000</td>\n",
       "      <td>1686.000000</td>\n",
       "      <td>1686.000000</td>\n",
       "      <td>1686.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>11.473903</td>\n",
       "      <td>10.534401</td>\n",
       "      <td>1.089195</td>\n",
       "      <td>1.215896</td>\n",
       "      <td>0.605150</td>\n",
       "      <td>9233.109727</td>\n",
       "      <td>2817.118031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.106793</td>\n",
       "      <td>6.945891</td>\n",
       "      <td>0.250791</td>\n",
       "      <td>0.576191</td>\n",
       "      <td>0.266416</td>\n",
       "      <td>12583.246963</td>\n",
       "      <td>4807.199770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.044333</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>16.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.378746</td>\n",
       "      <td>2163.250000</td>\n",
       "      <td>649.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>11.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>1.100000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.606701</td>\n",
       "      <td>4440.000000</td>\n",
       "      <td>1437.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>12.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.851579</td>\n",
       "      <td>11656.750000</td>\n",
       "      <td>3247.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>165.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.999984</td>\n",
       "      <td>132810.000000</td>\n",
       "      <td>79515.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       rating_numerator  rating_denominator  ratings_total      img_num  \\\n",
       "count       1686.000000         1686.000000    1686.000000  1686.000000   \n",
       "mean          11.473903           10.534401       1.089195     1.215896   \n",
       "std            8.106793            6.945891       0.250791     0.576191   \n",
       "min            0.000000            2.000000       0.000000     1.000000   \n",
       "25%           10.000000           10.000000       1.000000     1.000000   \n",
       "50%           11.000000           10.000000       1.100000     1.000000   \n",
       "75%           12.000000           10.000000       1.200000     1.000000   \n",
       "max          165.000000          150.000000       7.500000     4.000000   \n",
       "\n",
       "       confidence_percentage  favorite_count  retweet_count  \n",
       "count            1686.000000     1686.000000    1686.000000  \n",
       "mean                0.605150     9233.109727    2817.118031  \n",
       "std                 0.266416    12583.246963    4807.199770  \n",
       "min                 0.044333       81.000000      16.000000  \n",
       "25%                 0.378746     2163.250000     649.250000  \n",
       "50%                 0.606701     4440.000000    1437.500000  \n",
       "75%                 0.851579    11656.750000    3247.750000  \n",
       "max                 0.999984   132810.000000   79515.000000  "
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twitter_archive_master.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1686 entries, 0 to 1685\n",
      "Data columns (total 15 columns):\n",
      " #   Column                 Non-Null Count  Dtype              \n",
      "---  ------                 --------------  -----              \n",
      " 0   tweet_id               1686 non-null   object             \n",
      " 1   timestamp              1686 non-null   datetime64[ns, UTC]\n",
      " 2   text                   1686 non-null   object             \n",
      " 3   rating_numerator       1686 non-null   int64              \n",
      " 4   rating_denominator     1686 non-null   int64              \n",
      " 5   name                   1187 non-null   object             \n",
      " 6   dog_stage              260 non-null    object             \n",
      " 7   ratings_total          1686 non-null   float64            \n",
      " 8   jpg_url                1686 non-null   object             \n",
      " 9   img_num                1686 non-null   int64              \n",
      " 10  dog_prediction         1686 non-null   object             \n",
      " 11  confidence_percentage  1686 non-null   float64            \n",
      " 12  prediction             1686 non-null   bool               \n",
      " 13  favorite_count         1686 non-null   int64              \n",
      " 14  retweet_count          1686 non-null   int64              \n",
      "dtypes: bool(1), datetime64[ns, UTC](1), float64(2), int64(5), object(6)\n",
      "memory usage: 199.2+ KB\n"
     ]
    }
   ],
   "source": [
    "twitter_archive_master.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ratings_total = np.random.normal(50, 10, 200)\n",
    "rating_numerator = np.random.normal(50, 15, 200)\n",
    "rating_denominator = np.random.normal(40, 20, 200)\n",
    "favorite_count = np.random.normal(100, 30, 200)\n",
    "retweet_count = np.random.normal(100, 40, 200)\n",
    "data = [ratings_total, rating_numerator, rating_denominator, favorite_count, retweet_count]\n",
    "fig = plt.figure(figsize=(10, 7))\n",
    "ax = fig.add_subplot(111)\n",
    "\n",
    "bp = ax.boxplot(data, patch_artist= True,\n",
    "               notch = 'True', vert= 0)\n",
    "colors = ['#0000FF', '#00FF00','#FFFF00', '#FF00FF', '#0FF000']\n",
    "\n",
    "for patch, color in zip(bp['boxes'], colors):\n",
    "    patch.set_facecolor(color)\n",
    "    \n",
    "\n",
    "for whisker in bp['whiskers']:\n",
    "    whisker.set(color ='#8B008B',\n",
    "                linewidth = 1.5,\n",
    "                linestyle =\":\")\n",
    " \n",
    "#color and linewidth of\n",
    "# caps\n",
    "for cap in bp['caps']:\n",
    "    cap.set(color ='#8B008B',\n",
    "            linewidth = 2)\n",
    " \n",
    "# color and linewidth of\n",
    "# medians\n",
    "for median in bp['medians']:\n",
    "    median.set(color ='red',\n",
    "               linewidth = 3)\n",
    "    \n",
    "#style of fliers\n",
    "for flier in bp['fliers']:\n",
    "    flier.set(marker ='D',\n",
    "              color ='#e7298a',\n",
    "              alpha = 0.5)\n",
    "     \n",
    "# x-axis labels\n",
    "ax.set_yticklabels(['ratings_total', 'rating_numerator', 'rating_denominator', 'favorite_count',' retweet_count'])\n",
    " \n",
    "#title\n",
    "plt.title(\"WeRateDogs archive box plot\")\n",
    " \n",
    "# Removing top axes and right axes\n",
    "# ticks\n",
    "ax.get_xaxis().tick_bottom()\n",
    "ax.get_yaxis().tick_left()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "extensions": {
   "jupyter_dashboards": {
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    "views": {
     "grid_default": {
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      "defaultCellHeight": 20,
      "maxColumns": 12,
      "name": "grid",
      "type": "grid"
     },
     "report_default": {
      "name": "report",
      "type": "report"
     }
    }
   }
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.12"
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 },
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}