wrangle_act.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Gathering data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import pandas to read data \n",
    "import pandas as pd \n",
    "import os\n",
    "#import requests to get data from link\n",
    "import requests\n",
    "#import json to read and use data in json file\n",
    "import json\n",
    "#import matplotlib to create graph\n",
    "from matplotlib import pyplot as plt \n",
    "#read_archive-enganced.csv_file_by_pandas\n",
    "read_arch = pd.read_csv(\"/run/media/eslam/36AE1665AE161DC5/my_githup/wrangle-and-analyze-from-WeRateDogs/twitter-archive-enhanced.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "#i_install_image_prediction_progrmmatly_by_reqests_model\n",
    "# this link contain data\n",
    "url = \"https://d17h27t6h515a5.cloudfront.net/topher/2017/August/599fd2ad_image-predictions/image-predictions.tsv\"\n",
    "#to get data from link use get function in requests libaray\n",
    "data_images= requests.get(url)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'image-predictions.tsv'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#i will seprate the name of file form link and save it in new variable\n",
    "file_name =url.split(\"/\")[-1]\n",
    "file_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>jpg_url</th>\n",
       "      <th>img_num</th>\n",
       "      <th>p1</th>\n",
       "      <th>p1_conf</th>\n",
       "      <th>p1_dog</th>\n",
       "      <th>p2</th>\n",
       "      <th>p2_conf</th>\n",
       "      <th>p2_dog</th>\n",
       "      <th>p3</th>\n",
       "      <th>p3_conf</th>\n",
       "      <th>p3_dog</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>666020888022790149</td>\n",
       "      <td>https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Welsh_springer_spaniel</td>\n",
       "      <td>0.465074</td>\n",
       "      <td>True</td>\n",
       "      <td>collie</td>\n",
       "      <td>0.156665</td>\n",
       "      <td>True</td>\n",
       "      <td>Shetland_sheepdog</td>\n",
       "      <td>0.061428</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>666029285002620928</td>\n",
       "      <td>https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>redbone</td>\n",
       "      <td>0.506826</td>\n",
       "      <td>True</td>\n",
       "      <td>miniature_pinscher</td>\n",
       "      <td>0.074192</td>\n",
       "      <td>True</td>\n",
       "      <td>Rhodesian_ridgeback</td>\n",
       "      <td>0.072010</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>666033412701032449</td>\n",
       "      <td>https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>German_shepherd</td>\n",
       "      <td>0.596461</td>\n",
       "      <td>True</td>\n",
       "      <td>malinois</td>\n",
       "      <td>0.138584</td>\n",
       "      <td>True</td>\n",
       "      <td>bloodhound</td>\n",
       "      <td>0.116197</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>666044226329800704</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Rhodesian_ridgeback</td>\n",
       "      <td>0.408143</td>\n",
       "      <td>True</td>\n",
       "      <td>redbone</td>\n",
       "      <td>0.360687</td>\n",
       "      <td>True</td>\n",
       "      <td>miniature_pinscher</td>\n",
       "      <td>0.222752</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>666049248165822465</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>miniature_pinscher</td>\n",
       "      <td>0.560311</td>\n",
       "      <td>True</td>\n",
       "      <td>Rottweiler</td>\n",
       "      <td>0.243682</td>\n",
       "      <td>True</td>\n",
       "      <td>Doberman</td>\n",
       "      <td>0.154629</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>666050758794694657</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Jof1WUAEuVxN.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Bernese_mountain_dog</td>\n",
       "      <td>0.651137</td>\n",
       "      <td>True</td>\n",
       "      <td>English_springer</td>\n",
       "      <td>0.263788</td>\n",
       "      <td>True</td>\n",
       "      <td>Greater_Swiss_Mountain_dog</td>\n",
       "      <td>0.016199</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>666051853826850816</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5KoJ1WoAAJash.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>box_turtle</td>\n",
       "      <td>0.933012</td>\n",
       "      <td>False</td>\n",
       "      <td>mud_turtle</td>\n",
       "      <td>0.045885</td>\n",
       "      <td>False</td>\n",
       "      <td>terrapin</td>\n",
       "      <td>0.017885</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>666055525042405380</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5N9tpXIAAifs1.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>chow</td>\n",
       "      <td>0.692517</td>\n",
       "      <td>True</td>\n",
       "      <td>Tibetan_mastiff</td>\n",
       "      <td>0.058279</td>\n",
       "      <td>True</td>\n",
       "      <td>fur_coat</td>\n",
       "      <td>0.054449</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>666057090499244032</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5PY90WoAAQGLo.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>shopping_cart</td>\n",
       "      <td>0.962465</td>\n",
       "      <td>False</td>\n",
       "      <td>shopping_basket</td>\n",
       "      <td>0.014594</td>\n",
       "      <td>False</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.007959</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>666058600524156928</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Qw94XAAA_2dP.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>miniature_poodle</td>\n",
       "      <td>0.201493</td>\n",
       "      <td>True</td>\n",
       "      <td>komondor</td>\n",
       "      <td>0.192305</td>\n",
       "      <td>True</td>\n",
       "      <td>soft-coated_wheaten_terrier</td>\n",
       "      <td>0.082086</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             tweet_id                                          jpg_url  \\\n",
       "0  666020888022790149  https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg   \n",
       "1  666029285002620928  https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg   \n",
       "2  666033412701032449  https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg   \n",
       "3  666044226329800704  https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg   \n",
       "4  666049248165822465  https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg   \n",
       "5  666050758794694657  https://pbs.twimg.com/media/CT5Jof1WUAEuVxN.jpg   \n",
       "6  666051853826850816  https://pbs.twimg.com/media/CT5KoJ1WoAAJash.jpg   \n",
       "7  666055525042405380  https://pbs.twimg.com/media/CT5N9tpXIAAifs1.jpg   \n",
       "8  666057090499244032  https://pbs.twimg.com/media/CT5PY90WoAAQGLo.jpg   \n",
       "9  666058600524156928  https://pbs.twimg.com/media/CT5Qw94XAAA_2dP.jpg   \n",
       "\n",
       "   img_num                      p1   p1_conf  p1_dog                  p2  \\\n",
       "0        1  Welsh_springer_spaniel  0.465074    True              collie   \n",
       "1        1                 redbone  0.506826    True  miniature_pinscher   \n",
       "2        1         German_shepherd  0.596461    True            malinois   \n",
       "3        1     Rhodesian_ridgeback  0.408143    True             redbone   \n",
       "4        1      miniature_pinscher  0.560311    True          Rottweiler   \n",
       "5        1    Bernese_mountain_dog  0.651137    True    English_springer   \n",
       "6        1              box_turtle  0.933012   False          mud_turtle   \n",
       "7        1                    chow  0.692517    True     Tibetan_mastiff   \n",
       "8        1           shopping_cart  0.962465   False     shopping_basket   \n",
       "9        1        miniature_poodle  0.201493    True            komondor   \n",
       "\n",
       "    p2_conf  p2_dog                           p3   p3_conf  p3_dog  \n",
       "0  0.156665    True            Shetland_sheepdog  0.061428    True  \n",
       "1  0.074192    True          Rhodesian_ridgeback  0.072010    True  \n",
       "2  0.138584    True                   bloodhound  0.116197    True  \n",
       "3  0.360687    True           miniature_pinscher  0.222752    True  \n",
       "4  0.243682    True                     Doberman  0.154629    True  \n",
       "5  0.263788    True   Greater_Swiss_Mountain_dog  0.016199    True  \n",
       "6  0.045885   False                     terrapin  0.017885   False  \n",
       "7  0.058279    True                     fur_coat  0.054449   False  \n",
       "8  0.014594   False             golden_retriever  0.007959    True  \n",
       "9  0.192305    True  soft-coated_wheaten_terrier  0.082086    True  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#this_step_to_creat_new_folder and save data if file don't founed but the file it founded he save in data \n",
    "if not  os.path.isfile(file_name):   \n",
    "    #to open the folder \n",
    "    with open (file_name,\"wb\") as file:\n",
    "        file.write(data_images.content)\n",
    "#to read data in file tsv \n",
    "read_images = pd.read_csv(file_name, sep=\"\\t\")\n",
    "#apper the first 10 ram in data\n",
    "read_images.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>favorite_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <td>8853</td>\n",
       "      <td>39467</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>892177421306343426</td>\n",
       "      <td>6514</td>\n",
       "      <td>33819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>4328</td>\n",
       "      <td>25461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>8964</td>\n",
       "      <td>42908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>9774</td>\n",
       "      <td>41048</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
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       "      <th>2349</th>\n",
       "      <td>666049248165822465</td>\n",
       "      <td>41</td>\n",
       "      <td>111</td>\n",
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       "    <tr>\n",
       "      <th>2350</th>\n",
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       "      <td>147</td>\n",
       "      <td>311</td>\n",
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       "    <tr>\n",
       "      <th>2351</th>\n",
       "      <td>666033412701032449</td>\n",
       "      <td>47</td>\n",
       "      <td>128</td>\n",
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       "    <tr>\n",
       "      <th>2352</th>\n",
       "      <td>666029285002620928</td>\n",
       "      <td>48</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2353</th>\n",
       "      <td>666020888022790149</td>\n",
       "      <td>532</td>\n",
       "      <td>2535</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2354 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id  retweet_count  favorite_count\n",
       "0     892420643555336193           8853           39467\n",
       "1     892177421306343426           6514           33819\n",
       "2     891815181378084864           4328           25461\n",
       "3     891689557279858688           8964           42908\n",
       "4     891327558926688256           9774           41048\n",
       "...                  ...            ...             ...\n",
       "2349  666049248165822465             41             111\n",
       "2350  666044226329800704            147             311\n",
       "2351  666033412701032449             47             128\n",
       "2352  666029285002620928             48             132\n",
       "2353  666020888022790149            532            2535\n",
       "\n",
       "[2354 rows x 3 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#df_tweets this list to store the new data  \n",
    "df_tweets =[]\n",
    "#to open the file and close it but this file can edit in beacause the mode is read only\n",
    "with open(\"/run/media/eslam/36AE1665AE161DC5/my_githup/wrangle-and-analyze-from-WeRateDogs/tweet-json.txt\",mode=\"r\") as folder:\n",
    "# here i want read the file line by line so that i use loop\n",
    "    for line in folder:\n",
    "    #to read string in dictionary line by line in josn\n",
    "        tweet = json.loads(line)\n",
    "        tweet_id = tweet[\"id\"]\n",
    "        retweet_count= tweet[\"retweet_count\"]\n",
    "        fav_count = tweet[\"favorite_count\"]\n",
    "        df_tweets.append({\"tweet_id\":tweet_id,\n",
    "                          \"retweet_count\":retweet_count,\n",
    "                          \"favorite_count\":fav_count})\n",
    "#read the file json data\n",
    "read_tweets = pd.DataFrame(df_tweets,columns=[\"tweet_id\",\"retweet_count\",\"favorite_count\"])\n",
    "read_tweets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Assesing data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#do show all columns\n",
    "pd.set_option(\"display.max_columns\", None) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>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": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_arch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2356 entries, 0 to 2355\n",
      "Data columns (total 17 columns):\n",
      " #   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": [
    "#i want some informition in read_arch data like type columns and what contint in columuns \n",
    "read_arch.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "None        745\n",
       "a            55\n",
       "Charlie      12\n",
       "Lucy         11\n",
       "Cooper       11\n",
       "           ... \n",
       "Schnozz       1\n",
       "Binky         1\n",
       "Ebby          1\n",
       "all           1\n",
       "Cilantro      1\n",
       "Name: name, Length: 957, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to know every character in columns and how many apper in coulmns\n",
    "read_arch[\"name\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Phineas', 'Tilly', 'Archie', 'Darla', 'Franklin', 'None', 'Jax',\n",
       "       'Zoey', 'Cassie', 'Koda', 'Bruno', 'Ted', 'Stuart', 'Oliver',\n",
       "       'Jim', 'Zeke', 'Ralphus', 'Canela', 'Gerald', 'Jeffrey', 'such',\n",
       "       'Maya', 'Mingus', 'Derek', 'Roscoe', 'Waffles', 'Jimbo', 'Maisey',\n",
       "       'Lilly', 'Earl', 'Lola', 'Kevin', 'Yogi', 'Noah', 'Bella',\n",
       "       'Grizzwald', 'Rusty', 'Gus', 'Stanley', 'Alfy', 'Koko', 'Rey',\n",
       "       'Gary', 'a', 'Elliot', 'Louis', 'Jesse', 'Romeo', 'Bailey',\n",
       "       'Duddles', 'Jack', 'Emmy', 'Steven', 'Beau', 'Snoopy', 'Shadow',\n",
       "       'Terrance', 'Aja', 'Penny', 'Dante', 'Nelly', 'Ginger', 'Benedict',\n",
       "       'Venti', 'Goose', 'Nugget', 'Cash', 'Coco', 'Jed', 'Sebastian',\n",
       "       'Walter', 'Sierra', 'Monkey', 'Harry', 'Kody', 'Lassie', 'Rover',\n",
       "       'Napolean', 'Dawn', 'Boomer', 'Cody', 'Rumble', 'Clifford',\n",
       "       'quite', 'Dewey', 'Scout', 'Gizmo', 'Cooper', 'Harold', 'Shikha',\n",
       "       'Jamesy', 'Lili', 'Sammy', 'Meatball', 'Paisley', 'Albus',\n",
       "       'Neptune', 'Quinn', 'Belle', 'Zooey', 'Dave', 'Jersey', 'Hobbes',\n",
       "       'Burt', 'Lorenzo', 'Carl', 'Jordy', 'Milky', 'Trooper', 'Winston',\n",
       "       'Sophie', 'Wyatt', 'Rosie', 'Thor', 'Oscar', 'Luna', 'Callie',\n",
       "       'Cermet', 'George', 'Marlee', 'Arya', 'Einstein', 'Alice',\n",
       "       'Rumpole', 'Benny', 'Aspen', 'Jarod', 'Wiggles', 'General',\n",
       "       'Sailor', 'Astrid', 'Iggy', 'Snoop', 'Kyle', 'Leo', 'Riley',\n",
       "       'Gidget', 'Noosh', 'Odin', 'Jerry', 'Charlie', 'Georgie', 'Rontu',\n",
       "       'Cannon', 'Furzey', 'Daisy', 'Tuck', 'Barney', 'Vixen', 'Jarvis',\n",
       "       'Mimosa', 'Pickles', 'Bungalo', 'Brady', 'Margo', 'Sadie', 'Hank',\n",
       "       'Tycho', 'Stephan', 'Indie', 'Winnie', 'Bentley', 'Ken', 'Max',\n",
       "       'Maddie', 'Pipsy', 'Monty', 'Sojourner', 'Odie', 'Arlo', 'Sunny',\n",
       "       'Vincent', 'Lucy', 'Clark', 'Mookie', 'Meera', 'Buddy', 'Ava',\n",
       "       'Rory', 'Eli', 'Ash', 'Tucker', 'Tobi', 'Chester', 'Wilson',\n",
       "       'Sunshine', 'Lipton', 'Gabby', 'Bronte', 'Poppy', 'Rhino',\n",
       "       'Willow', 'not', 'Orion', 'Eevee', 'Smiley', 'Logan', 'Moreton',\n",
       "       'Klein', 'Miguel', 'Emanuel', 'Kuyu', 'Dutch', 'Pete', 'Scooter',\n",
       "       'Reggie', 'Kyro', 'Samson', 'Loki', 'Mia', 'Malcolm', 'Dexter',\n",
       "       'Alfie', 'Fiona', 'one', 'Mutt', 'Bear', 'Doobert', 'Beebop',\n",
       "       'Alexander', 'Sailer', 'Brutus', 'Kona', 'Boots', 'Ralphie',\n",
       "       'Phil', 'Cupid', 'Pawnd', 'Pilot', 'Ike', 'Mo', 'Toby', 'Sweet',\n",
       "       'Pablo', 'Nala', 'Balto', 'Crawford', 'Gabe', 'Mattie', 'Jimison',\n",
       "       'Hercules', 'Duchess', 'Harlso', 'Sampson', 'Sundance', 'Luca',\n",
       "       'Flash', 'Finn', 'Peaches', 'Howie', 'Jazzy', 'Anna', 'Bo',\n",
       "       'Seamus', 'Wafer', 'Chelsea', 'Tom', 'Moose', 'Florence', 'Autumn',\n",
       "       'Dido', 'Eugene', 'Herschel', 'Strudel', 'Tebow', 'Chloe', 'Betty',\n",
       "       'Timber', 'Binky', 'Dudley', 'Comet', 'Larry', 'Levi', 'Akumi',\n",
       "       'Titan', 'Olivia', 'Alf', 'Oshie', 'Bruce', 'Chubbs', 'Sky',\n",
       "       'Atlas', 'Eleanor', 'Layla', 'Rocky', 'Baron', 'Tyr', 'Bauer',\n",
       "       'Swagger', 'Brandi', 'Mary', 'Moe', 'Halo', 'Augie', 'Craig',\n",
       "       'Sam', 'Hunter', 'Pavlov', 'Maximus', 'Wallace', 'Ito', 'Milo',\n",
       "       'Ollie', 'Cali', 'Lennon', 'incredibly', 'Major', 'Duke',\n",
       "       'Reginald', 'Sansa', 'Shooter', 'Django', 'Diogi', 'Sonny',\n",
       "       'Philbert', 'Marley', 'Severus', 'Ronnie', 'Anakin', 'Bones',\n",
       "       'Mauve', 'Chef', 'Doc', 'Sobe', 'Longfellow', 'Mister', 'Iroh',\n",
       "       'Baloo', 'Stubert', 'Paull', 'Timison', 'Davey', 'Pancake',\n",
       "       'Tyrone', 'Snicku', 'Ruby', 'Brody', 'Rizzy', 'Mack', 'Butter',\n",
       "       'Nimbus', 'Laika', 'Dobby', 'Juno', 'Maude', 'Lily', 'Newt',\n",
       "       'Benji', 'Nida', 'Robin', 'Monster', 'BeBe', 'Remus', 'Mabel',\n",
       "       'Misty', 'Happy', 'Mosby', 'Maggie', 'Leela', 'Ralphy', 'Brownie',\n",
       "       'Meyer', 'Stella', 'mad', 'Frank', 'Tonks', 'Lincoln', 'Oakley',\n",
       "       'Dale', 'Rizzo', 'Arnie', 'Pinot', 'Dallas', 'Hero', 'Frankie',\n",
       "       'Stormy', 'Mairi', 'Loomis', 'Godi', 'Kenny', 'Deacon', 'Timmy',\n",
       "       'Harper', 'Chipson', 'Combo', 'Dash', 'Bell', 'Hurley', 'Jay',\n",
       "       'Mya', 'Strider', 'an', 'Wesley', 'Solomon', 'Huck', 'very', 'O',\n",
       "       'Blue', 'Finley', 'Sprinkles', 'Heinrich', 'Shakespeare', 'Fizz',\n",
       "       'Chip', 'Grey', 'Roosevelt', 'Gromit', 'Willem', 'Dakota', 'Dixie',\n",
       "       'Al', 'Jackson', 'just', 'Carbon', 'DonDon', 'Kirby', 'Lou',\n",
       "       'Nollie', 'Chevy', 'Tito', 'Louie', 'Rupert', 'Rufus', 'Brudge',\n",
       "       'Shadoe', 'Colby', 'Angel', 'Brat', 'Tove', 'my', 'Aubie', 'Kota',\n",
       "       'Eve', 'Glenn', 'Shelby', 'Sephie', 'Bonaparte', 'Albert',\n",
       "       'Wishes', 'Rose', 'Theo', 'Rocco', 'Fido', 'Emma', 'Spencer',\n",
       "       'Lilli', 'Boston', 'Brandonald', 'Corey', 'Leonard', 'Chompsky',\n",
       "       'Beckham', 'Devón', 'Gert', 'Watson', 'Rubio', 'Keith', 'Dex',\n",
       "       'Carly', 'Ace', 'Tayzie', 'Grizzie', 'Fred', 'Gilbert', 'Zoe',\n",
       "       'Stewie', 'Calvin', 'Lilah', 'Spanky', 'Jameson', 'Piper',\n",
       "       'Atticus', 'Blu', 'Dietrich', 'Divine', 'Tripp', 'his', 'Cora',\n",
       "       'Huxley', 'Keurig', 'Bookstore', 'Linus', 'Abby', 'Shaggy',\n",
       "       'Shiloh', 'Gustav', 'Arlen', 'Percy', 'Lenox', 'Sugar', 'Harvey',\n",
       "       'Blanket', 'actually', 'Geno', 'Stark', 'Beya', 'Kilo', 'Kayla',\n",
       "       'Maxaroni', 'Doug', 'Edmund', 'Aqua', 'Theodore', 'Chase',\n",
       "       'getting', 'Rorie', 'Simba', 'Charles', 'Bayley', 'Axel',\n",
       "       'Storkson', 'Remy', 'Chadrick', 'Kellogg', 'Buckley', 'Livvie',\n",
       "       'Terry', 'Hermione', 'Ralpher', 'Aldrick', 'this', 'unacceptable',\n",
       "       'Rooney', 'Crystal', 'Ziva', 'Stefan', 'Pupcasso', 'Puff',\n",
       "       'Flurpson', 'Coleman', 'Enchilada', 'Raymond', 'all', 'Rueben',\n",
       "       'Cilantro', 'Karll', 'Sprout', 'Blitz', 'Bloop', 'Lillie',\n",
       "       'Ashleigh', 'Kreggory', 'Sarge', 'Luther', 'Ivar', 'Jangle',\n",
       "       'Schnitzel', 'Panda', 'Berkeley', 'Ralphé', 'Charleson', 'Clyde',\n",
       "       'Harnold', 'Sid', 'Pippa', 'Otis', 'Carper', 'Bowie',\n",
       "       'Alexanderson', 'Suki', 'Barclay', 'Skittle', 'Ebby', 'Flávio',\n",
       "       'Smokey', 'Link', 'Jennifur', 'Ozzy', 'Bluebert', 'Stephanus',\n",
       "       'Bubbles', 'old', 'Zeus', 'Bertson', 'Nico', 'Michelangelope',\n",
       "       'Siba', 'Calbert', 'Curtis', 'Travis', 'Thumas', 'Kanu', 'Lance',\n",
       "       'Opie', 'Kane', 'Olive', 'Chuckles', 'Staniel', 'Sora', 'Beemo',\n",
       "       'Gunner', 'infuriating', 'Lacy', 'Tater', 'Olaf', 'Cecil', 'Vince',\n",
       "       'Karma', 'Billy', 'Walker', 'Rodney', 'Klevin', 'Malikai',\n",
       "       'Bobble', 'River', 'Jebberson', 'Remington', 'Farfle', 'Jiminus',\n",
       "       'Clarkus', 'Finnegus', 'Cupcake', 'Kathmandu', 'Ellie', 'Katie',\n",
       "       'Kara', 'Adele', 'Zara', 'Ambrose', 'Jimothy', 'Bode', 'Terrenth',\n",
       "       'Reese', 'Chesterson', 'Lucia', 'Bisquick', 'Ralphson', 'Socks',\n",
       "       'Rambo', 'Rudy', 'Fiji', 'Rilo', 'Bilbo', 'Coopson', 'Yoda',\n",
       "       'Millie', 'Chet', 'Crouton', 'Daniel', 'Kaia', 'Murphy', 'Dotsy',\n",
       "       'Eazy', 'Coops', 'Fillup', 'Miley', 'Charl', 'Reagan', 'Yukon',\n",
       "       'CeCe', 'Cuddles', 'Claude', 'Jessiga', 'Carter', 'Ole', 'Pherb',\n",
       "       'Blipson', 'Reptar', 'Trevith', 'Berb', 'Bob', 'Colin', 'Brian',\n",
       "       'Oliviér', 'Grady', 'Kobe', 'Freddery', 'Bodie', 'Dunkin', 'Wally',\n",
       "       'Tupawc', 'Amber', 'Edgar', 'Teddy', 'Kingsley', 'Brockly',\n",
       "       'Richie', 'Molly', 'Vinscent', 'Cedrick', 'Hazel', 'Lolo', 'Eriq',\n",
       "       'Phred', 'the', 'Oddie', 'Maxwell', 'Geoff', 'Covach', 'Durg',\n",
       "       'Fynn', 'Ricky', 'Herald', 'Lucky', 'Ferg', 'Trip', 'Clarence',\n",
       "       'Hamrick', 'Brad', 'Pubert', 'Frönq', 'Derby', 'Lizzie', 'Ember',\n",
       "       'Blakely', 'Opal', 'Marq', 'Kramer', 'Barry', 'Gordon', 'Baxter',\n",
       "       'Mona', 'Horace', 'Crimson', 'Birf', 'Hammond', 'Lorelei', 'Marty',\n",
       "       'Brooks', 'Petrick', 'Hubertson', 'Gerbald', 'Oreo', 'Bruiser',\n",
       "       'Perry', 'Bobby', 'Jeph', 'Obi', 'Tino', 'Kulet', 'Sweets', 'Lupe',\n",
       "       'Tiger', 'Jiminy', 'Griffin', 'Banjo', 'Brandy', 'Lulu', 'Darrel',\n",
       "       'Taco', 'Joey', 'Patrick', 'Kreg', 'Todo', 'Tess', 'Ulysses',\n",
       "       'Toffee', 'Apollo', 'Asher', 'Glacier', 'Chuck', 'Champ', 'Ozzie',\n",
       "       'Griswold', 'Cheesy', 'Moofasa', 'Hector', 'Goliath', 'Kawhi',\n",
       "       'by', 'Emmie', 'Penelope', 'Willie', 'Rinna', 'Mike', 'William',\n",
       "       'Dwight', 'Evy', 'officially', 'Rascal', 'Linda', 'Tug', 'Tango',\n",
       "       'Grizz', 'Jerome', 'Crumpet', 'Jessifer', 'Izzy', 'Ralph', 'Sandy',\n",
       "       'Humphrey', 'Tassy', 'Juckson', 'Chuq', 'Tyrus', 'Karl',\n",
       "       'Godzilla', 'Vinnie', 'Kenneth', 'Herm', 'Bert', 'Striker',\n",
       "       'Donny', 'Pepper', 'Bernie', 'Buddah', 'Lenny', 'Arnold', 'Zuzu',\n",
       "       'Mollie', 'Laela', 'Tedders', 'Superpup', 'Rufio', 'Jeb', 'Rodman',\n",
       "       'Jonah', 'Chesney', 'life', 'Henry', 'Bobbay', 'Mitch', 'Kaiya',\n",
       "       'Acro', 'Aiden', 'Obie', 'Dot', 'Shnuggles', 'Kendall', 'Jeffri',\n",
       "       'Steve', 'Mac', 'Fletcher', 'Kenzie', 'Pumpkin', 'Schnozz',\n",
       "       'Gustaf', 'Cheryl', 'Ed', 'Leonidas', 'Norman', 'Caryl', 'Scott',\n",
       "       'Taz', 'Darby', 'Jackie', 'light', 'Jazz', 'Franq', 'Pippin',\n",
       "       'Rolf', 'Snickers', 'Ridley', 'Cal', 'Bradley', 'Bubba', 'Tuco',\n",
       "       'Patch', 'Mojo', 'Batdog', 'Dylan', 'space', 'Mark', 'JD',\n",
       "       'Alejandro', 'Scruffers', 'Pip', 'Julius', 'Tanner', 'Sparky',\n",
       "       'Anthony', 'Holly', 'Jett', 'Amy', 'Sage', 'Andy', 'Mason',\n",
       "       'Trigger', 'Antony', 'Creg', 'Traviss', 'Gin', 'Jeffrie', 'Danny',\n",
       "       'Ester', 'Pluto', 'Bloo', 'Edd', 'Willy', 'Herb', 'Damon',\n",
       "       'Peanut', 'Nigel', 'Butters', 'Sandra', 'Fabio', 'Randall', 'Liam',\n",
       "       'Tommy', 'Ben', 'Raphael', 'Julio', 'Andru', 'Kloey', 'Shawwn',\n",
       "       'Skye', 'Kollin', 'Ronduh', 'Billl', 'Saydee', 'Dug', 'Tessa',\n",
       "       'Sully', 'Kirk', 'Ralf', 'Clarq', 'Jaspers', 'Samsom', 'Harrison',\n",
       "       'Chaz', 'Jeremy', 'Jaycob', 'Lambeau', 'Ruffles', 'Amélie', 'Bobb',\n",
       "       'Banditt', 'Kevon', 'Winifred', 'Hanz', 'Churlie', 'Zeek',\n",
       "       'Timofy', 'Maks', 'Jomathan', 'Kallie', 'Marvin', 'Spark',\n",
       "       'Gòrdón', 'Jo', 'DayZ', 'Jareld', 'Torque', 'Ron', 'Skittles',\n",
       "       'Cleopatricia', 'Erik', 'Stu', 'Tedrick', 'Filup', 'Kial',\n",
       "       'Naphaniel', 'Dook', 'Hall', 'Philippe', 'Biden', 'Fwed',\n",
       "       'Genevieve', 'Joshwa', 'Bradlay', 'Clybe', 'Keet', 'Carll',\n",
       "       'Jockson', 'Josep', 'Lugan', 'Christoper'], dtype=object)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to know all character in columns\n",
    "read_arch.name.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7.757333e+17    1\n",
       "7.507196e+17    1\n",
       "6.742918e+17    1\n",
       "6.833919e+17    1\n",
       "8.269587e+17    1\n",
       "               ..\n",
       "7.848260e+17    1\n",
       "7.806013e+17    1\n",
       "8.305833e+17    1\n",
       "7.047611e+17    1\n",
       "7.331095e+17    1\n",
       "Name: retweeted_status_id, Length: 181, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_arch[\"retweeted_status_id\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "None     2259\n",
       "doggo      97\n",
       "Name: doggo, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_arch[\"doggo\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "None       2346\n",
       "floofer      10\n",
       "Name: floofer, dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_arch[\"floofer\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "None      2099\n",
       "pupper     257\n",
       "Name: pupper, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_arch[\"pupper\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "None     2326\n",
       "puppo      30\n",
       "Name: puppo, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_arch[\"puppo\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12      558\n",
       "11      464\n",
       "10      461\n",
       "13      351\n",
       "9       158\n",
       "8       102\n",
       "7        55\n",
       "14       54\n",
       "5        37\n",
       "6        32\n",
       "3        19\n",
       "4        17\n",
       "1         9\n",
       "2         9\n",
       "420       2\n",
       "0         2\n",
       "15        2\n",
       "75        2\n",
       "80        1\n",
       "20        1\n",
       "24        1\n",
       "26        1\n",
       "44        1\n",
       "50        1\n",
       "60        1\n",
       "165       1\n",
       "84        1\n",
       "88        1\n",
       "144       1\n",
       "182       1\n",
       "143       1\n",
       "666       1\n",
       "960       1\n",
       "1776      1\n",
       "17        1\n",
       "27        1\n",
       "45        1\n",
       "99        1\n",
       "121       1\n",
       "204       1\n",
       "Name: rating_numerator, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_arch[\"rating_numerator\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10     2333\n",
       "11        3\n",
       "50        3\n",
       "80        2\n",
       "20        2\n",
       "2         1\n",
       "16        1\n",
       "40        1\n",
       "70        1\n",
       "15        1\n",
       "90        1\n",
       "110       1\n",
       "120       1\n",
       "130       1\n",
       "150       1\n",
       "170       1\n",
       "7         1\n",
       "0         1\n",
       "Name: rating_denominator, dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_arch[\"rating_denominator\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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>1484</th>\n",
       "      <td>781524693396357120</td>\n",
       "      <td>https://pbs.twimg.com/media/CtiIj0AWcAEBDvw.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>tennis_ball</td>\n",
       "      <td>0.994712</td>\n",
       "      <td>False</td>\n",
       "      <td>Chesapeake_Bay_retriever</td>\n",
       "      <td>0.003523</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.000921</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1790</th>\n",
       "      <td>830097400375152640</td>\n",
       "      <td>https://pbs.twimg.com/media/C4UZLZLWYAA0dcs.jpg</td>\n",
       "      <td>4</td>\n",
       "      <td>toy_poodle</td>\n",
       "      <td>0.442713</td>\n",
       "      <td>True</td>\n",
       "      <td>Pomeranian</td>\n",
       "      <td>0.142073</td>\n",
       "      <td>True</td>\n",
       "      <td>Pekinese</td>\n",
       "      <td>0.125745</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1321</th>\n",
       "      <td>756303284449767430</td>\n",
       "      <td>https://pbs.twimg.com/media/Cn7tyyZWYAAPlAY.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.981652</td>\n",
       "      <td>True</td>\n",
       "      <td>cocker_spaniel</td>\n",
       "      <td>0.006790</td>\n",
       "      <td>True</td>\n",
       "      <td>Labrador_retriever</td>\n",
       "      <td>0.004325</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1113</th>\n",
       "      <td>724405726123311104</td>\n",
       "      <td>https://pbs.twimg.com/media/Cg2bKLAWwAA0WEm.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.240695</td>\n",
       "      <td>True</td>\n",
       "      <td>cocker_spaniel</td>\n",
       "      <td>0.202444</td>\n",
       "      <td>True</td>\n",
       "      <td>feather_boa</td>\n",
       "      <td>0.159348</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>668625577880875008</td>\n",
       "      <td>https://pbs.twimg.com/media/CUdvambWoAA007z.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>ox</td>\n",
       "      <td>0.071536</td>\n",
       "      <td>False</td>\n",
       "      <td>groenendael</td>\n",
       "      <td>0.054455</td>\n",
       "      <td>True</td>\n",
       "      <td>Angora</td>\n",
       "      <td>0.045028</td>\n",
       "      <td>False</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>1741</th>\n",
       "      <td>822610361945911296</td>\n",
       "      <td>https://pbs.twimg.com/media/C2p_wQyXEAELtvS.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>cocker_spaniel</td>\n",
       "      <td>0.664487</td>\n",
       "      <td>True</td>\n",
       "      <td>Norfolk_terrier</td>\n",
       "      <td>0.075089</td>\n",
       "      <td>True</td>\n",
       "      <td>Norwich_terrier</td>\n",
       "      <td>0.059644</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>639</th>\n",
       "      <td>681297372102656000</td>\n",
       "      <td>https://pbs.twimg.com/media/CXR0WJ_W8AMd_O8.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Lhasa</td>\n",
       "      <td>0.482401</td>\n",
       "      <td>True</td>\n",
       "      <td>Shih-Tzu</td>\n",
       "      <td>0.113672</td>\n",
       "      <td>True</td>\n",
       "      <td>Pomeranian</td>\n",
       "      <td>0.096229</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2040</th>\n",
       "      <td>885167619883638784</td>\n",
       "      <td>https://pbs.twimg.com/media/DEi_N9qXYAAgEEw.jpg</td>\n",
       "      <td>4</td>\n",
       "      <td>malamute</td>\n",
       "      <td>0.812482</td>\n",
       "      <td>True</td>\n",
       "      <td>Siberian_husky</td>\n",
       "      <td>0.071712</td>\n",
       "      <td>True</td>\n",
       "      <td>Eskimo_dog</td>\n",
       "      <td>0.055770</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>670361874861563904</td>\n",
       "      <td>https://pbs.twimg.com/media/CU2akCQWsAIbaOV.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>platypus</td>\n",
       "      <td>0.974075</td>\n",
       "      <td>False</td>\n",
       "      <td>spotted_salamander</td>\n",
       "      <td>0.011068</td>\n",
       "      <td>False</td>\n",
       "      <td>bison</td>\n",
       "      <td>0.003897</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>662</th>\n",
       "      <td>682638830361513985</td>\n",
       "      <td>https://pbs.twimg.com/media/CXk4W0qWYAMEMEs.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>English_springer</td>\n",
       "      <td>0.440781</td>\n",
       "      <td>True</td>\n",
       "      <td>Cardigan</td>\n",
       "      <td>0.411182</td>\n",
       "      <td>True</td>\n",
       "      <td>Border_collie</td>\n",
       "      <td>0.022412</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1821</th>\n",
       "      <td>834574053763584002</td>\n",
       "      <td>https://pbs.twimg.com/media/C5UAqgyXAAAbMWH.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>toilet_tissue</td>\n",
       "      <td>0.262936</td>\n",
       "      <td>False</td>\n",
       "      <td>golden_retriever</td>\n",
       "      <td>0.226564</td>\n",
       "      <td>True</td>\n",
       "      <td>bathtub</td>\n",
       "      <td>0.078879</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>668826086256599040</td>\n",
       "      <td>https://pbs.twimg.com/media/CUglxbFXAAA5O0d.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>malinois</td>\n",
       "      <td>0.640185</td>\n",
       "      <td>True</td>\n",
       "      <td>Irish_terrier</td>\n",
       "      <td>0.153700</td>\n",
       "      <td>True</td>\n",
       "      <td>Rhodesian_ridgeback</td>\n",
       "      <td>0.068457</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>930</th>\n",
       "      <td>703041949650034688</td>\n",
       "      <td>https://pbs.twimg.com/media/CcG07BYW0AErrC9.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>hippopotamus</td>\n",
       "      <td>0.581403</td>\n",
       "      <td>False</td>\n",
       "      <td>doormat</td>\n",
       "      <td>0.152445</td>\n",
       "      <td>False</td>\n",
       "      <td>sea_lion</td>\n",
       "      <td>0.026364</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>913</th>\n",
       "      <td>700864154249383937</td>\n",
       "      <td>https://pbs.twimg.com/media/Cbn4OqKWwAADGWt.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>kuvasz</td>\n",
       "      <td>0.805857</td>\n",
       "      <td>True</td>\n",
       "      <td>Great_Pyrenees</td>\n",
       "      <td>0.187272</td>\n",
       "      <td>True</td>\n",
       "      <td>Samoyed</td>\n",
       "      <td>0.003491</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id                                          jpg_url  \\\n",
       "1484  781524693396357120  https://pbs.twimg.com/media/CtiIj0AWcAEBDvw.jpg   \n",
       "1790  830097400375152640  https://pbs.twimg.com/media/C4UZLZLWYAA0dcs.jpg   \n",
       "1321  756303284449767430  https://pbs.twimg.com/media/Cn7tyyZWYAAPlAY.jpg   \n",
       "1113  724405726123311104  https://pbs.twimg.com/media/Cg2bKLAWwAA0WEm.jpg   \n",
       "145   668625577880875008  https://pbs.twimg.com/media/CUdvambWoAA007z.jpg   \n",
       "2073  892177421306343426  https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg   \n",
       "1741  822610361945911296  https://pbs.twimg.com/media/C2p_wQyXEAELtvS.jpg   \n",
       "639   681297372102656000  https://pbs.twimg.com/media/CXR0WJ_W8AMd_O8.jpg   \n",
       "2040  885167619883638784  https://pbs.twimg.com/media/DEi_N9qXYAAgEEw.jpg   \n",
       "226   670361874861563904  https://pbs.twimg.com/media/CU2akCQWsAIbaOV.jpg   \n",
       "662   682638830361513985  https://pbs.twimg.com/media/CXk4W0qWYAMEMEs.jpg   \n",
       "1821  834574053763584002  https://pbs.twimg.com/media/C5UAqgyXAAAbMWH.jpg   \n",
       "156   668826086256599040  https://pbs.twimg.com/media/CUglxbFXAAA5O0d.jpg   \n",
       "930   703041949650034688  https://pbs.twimg.com/media/CcG07BYW0AErrC9.jpg   \n",
       "913   700864154249383937  https://pbs.twimg.com/media/Cbn4OqKWwAADGWt.jpg   \n",
       "\n",
       "      img_num                p1   p1_conf  p1_dog                        p2  \\\n",
       "1484        1       tennis_ball  0.994712   False  Chesapeake_Bay_retriever   \n",
       "1790        4        toy_poodle  0.442713    True                Pomeranian   \n",
       "1321        1  golden_retriever  0.981652    True            cocker_spaniel   \n",
       "1113        1  golden_retriever  0.240695    True            cocker_spaniel   \n",
       "145         1                ox  0.071536   False               groenendael   \n",
       "2073        1         Chihuahua  0.323581    True                  Pekinese   \n",
       "1741        1    cocker_spaniel  0.664487    True           Norfolk_terrier   \n",
       "639         1             Lhasa  0.482401    True                  Shih-Tzu   \n",
       "2040        4          malamute  0.812482    True            Siberian_husky   \n",
       "226         1          platypus  0.974075   False        spotted_salamander   \n",
       "662         1  English_springer  0.440781    True                  Cardigan   \n",
       "1821        1     toilet_tissue  0.262936   False          golden_retriever   \n",
       "156         1          malinois  0.640185    True             Irish_terrier   \n",
       "930         1      hippopotamus  0.581403   False                   doormat   \n",
       "913         1            kuvasz  0.805857    True            Great_Pyrenees   \n",
       "\n",
       "       p2_conf  p2_dog                   p3   p3_conf  p3_dog  \n",
       "1484  0.003523    True   Labrador_retriever  0.000921    True  \n",
       "1790  0.142073    True             Pekinese  0.125745    True  \n",
       "1321  0.006790    True   Labrador_retriever  0.004325    True  \n",
       "1113  0.202444    True          feather_boa  0.159348   False  \n",
       "145   0.054455    True               Angora  0.045028   False  \n",
       "2073  0.090647    True             papillon  0.068957    True  \n",
       "1741  0.075089    True      Norwich_terrier  0.059644    True  \n",
       "639   0.113672    True           Pomeranian  0.096229    True  \n",
       "2040  0.071712    True           Eskimo_dog  0.055770    True  \n",
       "226   0.011068   False                bison  0.003897   False  \n",
       "662   0.411182    True        Border_collie  0.022412    True  \n",
       "1821  0.226564    True              bathtub  0.078879   False  \n",
       "156   0.153700    True  Rhodesian_ridgeback  0.068457    True  \n",
       "930   0.152445   False             sea_lion  0.026364   False  \n",
       "913   0.187272    True              Samoyed  0.003491    True  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to apper 15 ram but randomly\n",
    "read_images.sample(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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": [
    "read_images.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>retweet_count</th>\n",
       "      <th>favorite_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>892420643555336193</td>\n",
       "      <td>8853</td>\n",
       "      <td>39467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>892177421306343426</td>\n",
       "      <td>6514</td>\n",
       "      <td>33819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>4328</td>\n",
       "      <td>25461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>8964</td>\n",
       "      <td>42908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>9774</td>\n",
       "      <td>41048</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>41</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2350</th>\n",
       "      <td>666044226329800704</td>\n",
       "      <td>147</td>\n",
       "      <td>311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2351</th>\n",
       "      <td>666033412701032449</td>\n",
       "      <td>47</td>\n",
       "      <td>128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2352</th>\n",
       "      <td>666029285002620928</td>\n",
       "      <td>48</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2353</th>\n",
       "      <td>666020888022790149</td>\n",
       "      <td>532</td>\n",
       "      <td>2535</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2354 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id  retweet_count  favorite_count\n",
       "0     892420643555336193           8853           39467\n",
       "1     892177421306343426           6514           33819\n",
       "2     891815181378084864           4328           25461\n",
       "3     891689557279858688           8964           42908\n",
       "4     891327558926688256           9774           41048\n",
       "...                  ...            ...             ...\n",
       "2349  666049248165822465             41             111\n",
       "2350  666044226329800704            147             311\n",
       "2351  666033412701032449             47             128\n",
       "2352  666029285002620928             48             132\n",
       "2353  666020888022790149            532            2535\n",
       "\n",
       "[2354 rows x 3 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_tweets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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   int64\n",
      " 1   retweet_count   2354 non-null   int64\n",
      " 2   favorite_count  2354 non-null   int64\n",
      "dtypes: int64(3)\n",
      "memory usage: 55.3 KB\n"
     ]
    }
   ],
   "source": [
    "read_tweets.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count     2354.000000\n",
       "mean      3164.797366\n",
       "std       5284.770364\n",
       "min          0.000000\n",
       "25%        624.500000\n",
       "50%       1473.500000\n",
       "75%       3652.000000\n",
       "max      79515.000000\n",
       "Name: retweet_count, dtype: float64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to know common order in static like mean and standar disation and minmam maximam\n",
    "read_tweets[\"retweet_count\"].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "#to apper the raw which contain miss or have None in data in column's retweet_count\n",
    "None_in_retweet_count=[read_tweets[\"retweet_count\"].isnull()]==True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "None_in_retweet_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        179\n",
       "610        3\n",
       "345        3\n",
       "2918       3\n",
       "1691       3\n",
       "        ... \n",
       "33345      1\n",
       "814        1\n",
       "23108      1\n",
       "2630       1\n",
       "8143       1\n",
       "Name: favorite_count, Length: 2007, dtype: int64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_tweets[\"favorite_count\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Qulaity issues"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1- Data in in_reply_to_status_id and in_reply_to_user_id aren't founed\n",
    "\n",
    "2- retweeted_status_timestamp is object but it should datetime \n",
    "\n",
    "3- most rating_numerator column's is over rating\n",
    "\n",
    "4- fufo , doggo , floofer , purrer this data in this columns not complet\n",
    "\n",
    "5- the image data is 2075 some data missing\n",
    "\n",
    "6- conver timestamp from object to data time\n",
    "\n",
    "7- Data in retweeted_status_id and retweeted_status_user_id and retweeted_status_timestamp aren't founed\n",
    "\n",
    "8- we can remove colums in_reply_to_status_id and in_reply_to_user_id because we don't import it\n",
    "\n",
    "9- i find the wrong name in name columns\n",
    "\n",
    "10- use in seprate in read_images is \"_\" in p1 ,p2 and p3 columns "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tidiness issues"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1-in general should tweet_data and data_arch table be one table.\n",
    "\n",
    "2-the coulmns doggo, floofer, pupper, puppor should be on variable in one coulmns.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "read_arch_new = read_arch.copy()\n",
    "read_images_new = read_images.copy()\n",
    "read_tweets_new = read_tweets.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# define"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "replace the \"_\" in p1, p2 and p3 "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# replace under scol \"_\" to space \" \"\n",
    "read_images_new[\"p1\"] = read_images_new.p1.str.replace(\"_\",\" \")\n",
    "read_images_new[\"p2\"] = read_images_new.p2.str.replace(\"_\",\" \")\n",
    "read_images_new[\"p3\"] = read_images_new.p3.str.replace(\"_\",\" \")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>jpg_url</th>\n",
       "      <th>img_num</th>\n",
       "      <th>p1</th>\n",
       "      <th>p1_conf</th>\n",
       "      <th>p1_dog</th>\n",
       "      <th>p2</th>\n",
       "      <th>p2_conf</th>\n",
       "      <th>p2_dog</th>\n",
       "      <th>p3</th>\n",
       "      <th>p3_conf</th>\n",
       "      <th>p3_dog</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>666020888022790149</td>\n",
       "      <td>https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Welsh springer spaniel</td>\n",
       "      <td>0.465074</td>\n",
       "      <td>True</td>\n",
       "      <td>collie</td>\n",
       "      <td>0.156665</td>\n",
       "      <td>True</td>\n",
       "      <td>Shetland sheepdog</td>\n",
       "      <td>0.061428</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>666029285002620928</td>\n",
       "      <td>https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>redbone</td>\n",
       "      <td>0.506826</td>\n",
       "      <td>True</td>\n",
       "      <td>miniature pinscher</td>\n",
       "      <td>0.074192</td>\n",
       "      <td>True</td>\n",
       "      <td>Rhodesian ridgeback</td>\n",
       "      <td>0.072010</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>666033412701032449</td>\n",
       "      <td>https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>German shepherd</td>\n",
       "      <td>0.596461</td>\n",
       "      <td>True</td>\n",
       "      <td>malinois</td>\n",
       "      <td>0.138584</td>\n",
       "      <td>True</td>\n",
       "      <td>bloodhound</td>\n",
       "      <td>0.116197</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>666044226329800704</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Rhodesian ridgeback</td>\n",
       "      <td>0.408143</td>\n",
       "      <td>True</td>\n",
       "      <td>redbone</td>\n",
       "      <td>0.360687</td>\n",
       "      <td>True</td>\n",
       "      <td>miniature pinscher</td>\n",
       "      <td>0.222752</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>666049248165822465</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>miniature pinscher</td>\n",
       "      <td>0.560311</td>\n",
       "      <td>True</td>\n",
       "      <td>Rottweiler</td>\n",
       "      <td>0.243682</td>\n",
       "      <td>True</td>\n",
       "      <td>Doberman</td>\n",
       "      <td>0.154629</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>666050758794694657</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Jof1WUAEuVxN.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Bernese mountain dog</td>\n",
       "      <td>0.651137</td>\n",
       "      <td>True</td>\n",
       "      <td>English springer</td>\n",
       "      <td>0.263788</td>\n",
       "      <td>True</td>\n",
       "      <td>Greater Swiss Mountain dog</td>\n",
       "      <td>0.016199</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>666051853826850816</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5KoJ1WoAAJash.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>box turtle</td>\n",
       "      <td>0.933012</td>\n",
       "      <td>False</td>\n",
       "      <td>mud turtle</td>\n",
       "      <td>0.045885</td>\n",
       "      <td>False</td>\n",
       "      <td>terrapin</td>\n",
       "      <td>0.017885</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>666055525042405380</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5N9tpXIAAifs1.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>chow</td>\n",
       "      <td>0.692517</td>\n",
       "      <td>True</td>\n",
       "      <td>Tibetan mastiff</td>\n",
       "      <td>0.058279</td>\n",
       "      <td>True</td>\n",
       "      <td>fur coat</td>\n",
       "      <td>0.054449</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>666057090499244032</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5PY90WoAAQGLo.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>shopping cart</td>\n",
       "      <td>0.962465</td>\n",
       "      <td>False</td>\n",
       "      <td>shopping basket</td>\n",
       "      <td>0.014594</td>\n",
       "      <td>False</td>\n",
       "      <td>golden retriever</td>\n",
       "      <td>0.007959</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>666058600524156928</td>\n",
       "      <td>https://pbs.twimg.com/media/CT5Qw94XAAA_2dP.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>miniature poodle</td>\n",
       "      <td>0.201493</td>\n",
       "      <td>True</td>\n",
       "      <td>komondor</td>\n",
       "      <td>0.192305</td>\n",
       "      <td>True</td>\n",
       "      <td>soft-coated wheaten terrier</td>\n",
       "      <td>0.082086</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             tweet_id                                          jpg_url  \\\n",
       "0  666020888022790149  https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg   \n",
       "1  666029285002620928  https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg   \n",
       "2  666033412701032449  https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg   \n",
       "3  666044226329800704  https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg   \n",
       "4  666049248165822465  https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg   \n",
       "5  666050758794694657  https://pbs.twimg.com/media/CT5Jof1WUAEuVxN.jpg   \n",
       "6  666051853826850816  https://pbs.twimg.com/media/CT5KoJ1WoAAJash.jpg   \n",
       "7  666055525042405380  https://pbs.twimg.com/media/CT5N9tpXIAAifs1.jpg   \n",
       "8  666057090499244032  https://pbs.twimg.com/media/CT5PY90WoAAQGLo.jpg   \n",
       "9  666058600524156928  https://pbs.twimg.com/media/CT5Qw94XAAA_2dP.jpg   \n",
       "\n",
       "   img_num                      p1   p1_conf  p1_dog                  p2  \\\n",
       "0        1  Welsh springer spaniel  0.465074    True              collie   \n",
       "1        1                 redbone  0.506826    True  miniature pinscher   \n",
       "2        1         German shepherd  0.596461    True            malinois   \n",
       "3        1     Rhodesian ridgeback  0.408143    True             redbone   \n",
       "4        1      miniature pinscher  0.560311    True          Rottweiler   \n",
       "5        1    Bernese mountain dog  0.651137    True    English springer   \n",
       "6        1              box turtle  0.933012   False          mud turtle   \n",
       "7        1                    chow  0.692517    True     Tibetan mastiff   \n",
       "8        1           shopping cart  0.962465   False     shopping basket   \n",
       "9        1        miniature poodle  0.201493    True            komondor   \n",
       "\n",
       "    p2_conf  p2_dog                           p3   p3_conf  p3_dog  \n",
       "0  0.156665    True            Shetland sheepdog  0.061428    True  \n",
       "1  0.074192    True          Rhodesian ridgeback  0.072010    True  \n",
       "2  0.138584    True                   bloodhound  0.116197    True  \n",
       "3  0.360687    True           miniature pinscher  0.222752    True  \n",
       "4  0.243682    True                     Doberman  0.154629    True  \n",
       "5  0.263788    True   Greater Swiss Mountain dog  0.016199    True  \n",
       "6  0.045885   False                     terrapin  0.017885   False  \n",
       "7  0.058279    True                     fur coat  0.054449   False  \n",
       "8  0.014594   False             golden retriever  0.007959    True  \n",
       "9  0.192305    True  soft-coated wheaten terrier  0.082086    True  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_images_new.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# define"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_arch_new"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## define"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "replace  all mistake name to None"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['such', 'a', 'quite', 'not', 'one', 'incredibly', 'mad', 'an',\n",
       "       'very', 'just', 'my', 'his', 'actually', 'getting', 'this',\n",
       "       'unacceptable', 'all', 'old', 'infuriating', 'the', 'by',\n",
       "       'officially', 'life', 'light', 'space'], dtype=object)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#first we should display the mistake name \n",
    "read_arch_new[(read_arch_new[\"name\"].str.islower()==True)][\"name\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# i make all mistake name in list\n",
    "mistake_name=['such', 'a', 'quite', 'not', 'one', 'incredibly', 'mad', 'an',\n",
    "       'very', 'just', 'my', 'his', 'actually', 'getting', 'this',\n",
    "       'unacceptable', 'all', 'old', 'infuriating', 'the', 'by',\n",
    "       'officially', 'life', 'light', 'space']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "#we will replace the mistake name to None \n",
    "\n",
    "#this loop to read name by name in list\n",
    "for name in mistake_name:\n",
    "    read_arch_new[\"name\"].replace(name,\"None\",inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "None       854\n",
       "Charlie     12\n",
       "Lucy        11\n",
       "Cooper      11\n",
       "Oliver      11\n",
       "          ... \n",
       "Kane         1\n",
       "Mojo         1\n",
       "Apollo       1\n",
       "Kanu         1\n",
       "Arlen        1\n",
       "Name: name, Length: 932, dtype: int64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_arch_new[\"name\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# define \n",
    "remove in_reply_to_status_id and in_reply_to_user_id columns in table "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# code  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "#remove this columns from read_arch\n",
    "read_arch_new.drop([\"in_reply_to_status_id\",\"in_reply_to_user_id\"],axis=1, inplace =True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>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>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>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>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>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>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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2351</th>\n",
       "      <td>666049248165822465</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>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>None</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>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>None</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>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>None</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>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 × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id                  timestamp  \\\n",
       "0     892420643555336193  2017-08-01 16:23:56 +0000   \n",
       "1     892177421306343426  2017-08-01 00:17:27 +0000   \n",
       "2     891815181378084864  2017-07-31 00:18:03 +0000   \n",
       "3     891689557279858688  2017-07-30 15:58:51 +0000   \n",
       "4     891327558926688256  2017-07-29 16:00:24 +0000   \n",
       "...                  ...                        ...   \n",
       "2351  666049248165822465  2015-11-16 00:24:50 +0000   \n",
       "2352  666044226329800704  2015-11-16 00:04:52 +0000   \n",
       "2353  666033412701032449  2015-11-15 23:21:54 +0000   \n",
       "2354  666029285002620928  2015-11-15 23:05:30 +0000   \n",
       "2355  666020888022790149  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      None  None    None   None  None  \n",
       "2353                  10      None  None    None   None  None  \n",
       "2354                  10      None  None    None   None  None  \n",
       "2355                  10      None  None    None   None  None  \n",
       "\n",
       "[2356 rows x 15 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_arch_new"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# define\n",
    "remove  retweeted_status_id and retweeted_status_user_id and retweeted_status_timestamp "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "read_arch_new.drop([\"retweeted_status_id\",\"retweeted_status_user_id\",\"retweeted_status_timestamp\"],axis=1, inplace =True)"
   ]
  },
  {
   "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>tweet_id</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>expanded_urls</th>\n",
       "      <th>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "      <th>name</th>\n",
       "      <th>doggo</th>\n",
       "      <th>floofer</th>\n",
       "      <th>pupper</th>\n",
       "      <th>puppo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>892420643555336193</td>\n",
       "      <td>2017-08-01 16:23:56 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Phineas. He's a mystical boy. Only eve...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/892420643...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Phineas</td>\n",
       "      <td>None</td>\n",
       "      <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>2017-08-01 00:17:27 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Tilly. She's just checking pup on you....</td>\n",
       "      <td>https://twitter.com/dog_rates/status/892177421...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Tilly</td>\n",
       "      <td>None</td>\n",
       "      <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>2017-07-31 00:18:03 +0000</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Archie. He is a rare Norwegian Pouncin...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/891815181...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Archie</td>\n",
       "      <td>None</td>\n",
       "      <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>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>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>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>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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2351</th>\n",
       "      <td>666049248165822465</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>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>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>https://twitter.com/dog_rates/status/666044226...</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2353</th>\n",
       "      <td>666033412701032449</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>https://twitter.com/dog_rates/status/666033412...</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2354</th>\n",
       "      <td>666029285002620928</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>https://twitter.com/dog_rates/status/666029285...</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2355</th>\n",
       "      <td>666020888022790149</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>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 × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id                  timestamp  \\\n",
       "0     892420643555336193  2017-08-01 16:23:56 +0000   \n",
       "1     892177421306343426  2017-08-01 00:17:27 +0000   \n",
       "2     891815181378084864  2017-07-31 00:18:03 +0000   \n",
       "3     891689557279858688  2017-07-30 15:58:51 +0000   \n",
       "4     891327558926688256  2017-07-29 16:00:24 +0000   \n",
       "...                  ...                        ...   \n",
       "2351  666049248165822465  2015-11-16 00:24:50 +0000   \n",
       "2352  666044226329800704  2015-11-16 00:04:52 +0000   \n",
       "2353  666033412701032449  2015-11-15 23:21:54 +0000   \n",
       "2354  666029285002620928  2015-11-15 23:05:30 +0000   \n",
       "2355  666020888022790149  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  \\\n",
       "0     This is Phineas. He's a mystical boy. Only eve...   \n",
       "1     This is Tilly. She's just checking pup on you....   \n",
       "2     This is Archie. He is a rare Norwegian Pouncin...   \n",
       "3     This is Darla. She commenced a snooze mid meal...   \n",
       "4     This is Franklin. He would like you to stop ca...   \n",
       "...                                                 ...   \n",
       "2351  Here we have a 1949 1st generation vulpix. Enj...   \n",
       "2352  This is a purebred Piers Morgan. Loves to Netf...   \n",
       "2353  Here is a very happy pup. Big fan of well-main...   \n",
       "2354  This is a western brown Mitsubishi terrier. Up...   \n",
       "2355  Here we have a Japanese Irish Setter. Lost eye...   \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      None  None    None   None  None  \n",
       "2353                  10      None  None    None   None  None  \n",
       "2354                  10      None  None    None   None  None  \n",
       "2355                  10      None  None    None   None  None  \n",
       "\n",
       "[2356 rows x 12 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_arch_new"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# define\n",
    "convert the coulmns timestamp from type object to datatime object. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "#convern the object to date time \n",
    "read_arch_new[\"timestamp\"] = pd.to_datetime(read_arch_new[\"timestamp\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2356 entries, 0 to 2355\n",
      "Data columns (total 12 columns):\n",
      " #   Column              Non-Null Count  Dtype              \n",
      "---  ------              --------------  -----              \n",
      " 0   tweet_id            2356 non-null   int64              \n",
      " 1   timestamp           2356 non-null   datetime64[ns, UTC]\n",
      " 2   source              2356 non-null   object             \n",
      " 3   text                2356 non-null   object             \n",
      " 4   expanded_urls       2297 non-null   object             \n",
      " 5   rating_numerator    2356 non-null   int64              \n",
      " 6   rating_denominator  2356 non-null   int64              \n",
      " 7   name                2356 non-null   object             \n",
      " 8   doggo               2356 non-null   object             \n",
      " 9   floofer             2356 non-null   object             \n",
      " 10  pupper              2356 non-null   object             \n",
      " 11  puppo               2356 non-null   object             \n",
      "dtypes: datetime64[ns, UTC](1), int64(3), object(8)\n",
      "memory usage: 221.0+ KB\n"
     ]
    }
   ],
   "source": [
    "read_arch_new.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# define\n",
    "make the one variable in new coulmns of type dog"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "# i storge the new data about dog in list \n",
    "type_dog = []\n",
    "dog_title = [\"pupper\",\"puppo\",\"doggo\",\"floofer\"]\n",
    "y = [\"pupper\",\"puppo\",\"doggo\",\"floofer\"]\n",
    "# for loop to read all line in file line by line \n",
    "for row in read_arch_new[\"text\"]:\n",
    "    #make the all word is lower \n",
    "    row = row.lower()\n",
    "    for word in dog_title:\n",
    "        if word in str(row):\n",
    "            type_dog.append(y[dog_title.index(word)])\n",
    "            break\n",
    "    else:\n",
    "        type_dog.append(\"None\")\n",
    "read_arch_new[\"dog_type\"] =type_dog"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "None       1933\n",
       "pupper      283\n",
       "doggo        93\n",
       "puppo        38\n",
       "floofer       9\n",
       "Name: dog_type, dtype: int64"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_arch_new[\"dog_type\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['tweet_id', 'timestamp', 'source', 'text', 'expanded_urls',\n",
       "       'rating_numerator', 'rating_denominator', 'name', 'doggo', 'floofer',\n",
       "       'pupper', 'puppo', 'dog_type'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show all column's name only \n",
    "read_arch_new.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# define\n",
    "remove dogoo floofer pupper puppo coulmns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "read_arch_new.drop([\"pupper\", \"puppo\", \"doggo\", \"floofer\"],axis=1, inplace =True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['tweet_id', 'timestamp', 'source', 'text', 'expanded_urls',\n",
       "       'rating_numerator', 'rating_denominator', 'name', 'dog_type'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_arch_new.columns\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# define\n",
    "make the three table is one table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = read_arch_new.merge(read_tweets_new)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data = df.merge(read_images_new)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>expanded_urls</th>\n",
       "      <th>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "      <th>name</th>\n",
       "      <th>dog_type</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>favorite_count</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>464</th>\n",
       "      <td>801115127852503040</td>\n",
       "      <td>2016-11-22 17:28:25+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Bones. He's being haunted by another d...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/801115127...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Bones</td>\n",
       "      <td>pupper</td>\n",
       "      <td>2429</td>\n",
       "      <td>8992</td>\n",
       "      <td>https://pbs.twimg.com/media/Cx4h7zHUsAAqaJd.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>dalmatian</td>\n",
       "      <td>0.823356</td>\n",
       "      <td>True</td>\n",
       "      <td>English setter</td>\n",
       "      <td>0.094602</td>\n",
       "      <td>True</td>\n",
       "      <td>bluetick</td>\n",
       "      <td>2.195340e-02</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>829</th>\n",
       "      <td>747219827526344708</td>\n",
       "      <td>2016-06-27 00:07:44+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Atticus. He's remaining calm but his c...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/747219827...</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>Atticus</td>\n",
       "      <td>None</td>\n",
       "      <td>1791</td>\n",
       "      <td>5792</td>\n",
       "      <td>https://pbs.twimg.com/media/Cl6odlVWQAIy5uk.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>Shetland sheepdog</td>\n",
       "      <td>0.548018</td>\n",
       "      <td>True</td>\n",
       "      <td>marmot</td>\n",
       "      <td>0.165503</td>\n",
       "      <td>False</td>\n",
       "      <td>collie</td>\n",
       "      <td>4.300260e-02</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>667435689202614272</td>\n",
       "      <td>2015-11-19 20:14:03+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Ermergerd 12/10 https://t.co/PQni2sjPsm</td>\n",
       "      <td>https://twitter.com/dog_rates/status/667435689...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>89</td>\n",
       "      <td>326</td>\n",
       "      <td>https://pbs.twimg.com/media/CUM1OHCW4AEgGSi.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Rottweiler</td>\n",
       "      <td>0.999091</td>\n",
       "      <td>True</td>\n",
       "      <td>miniature pinscher</td>\n",
       "      <td>0.000450</td>\n",
       "      <td>True</td>\n",
       "      <td>black-and-tan coonhound</td>\n",
       "      <td>1.571400e-04</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>825876512159186944</td>\n",
       "      <td>2017-01-30 01:21:19+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Mo. No one will push him around in the...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/825876512...</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>Mo</td>\n",
       "      <td>None</td>\n",
       "      <td>2146</td>\n",
       "      <td>11525</td>\n",
       "      <td>https://pbs.twimg.com/media/C3YaSnQWAAILgz0.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>shopping cart</td>\n",
       "      <td>0.995941</td>\n",
       "      <td>False</td>\n",
       "      <td>shopping basket</td>\n",
       "      <td>0.004057</td>\n",
       "      <td>False</td>\n",
       "      <td>mousetrap</td>\n",
       "      <td>8.832830e-07</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601</th>\n",
       "      <td>779834332596887552</td>\n",
       "      <td>2016-09-25 00:06:08+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Scout. He really wants to kiss himself...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/779834332...</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>Scout</td>\n",
       "      <td>None</td>\n",
       "      <td>8237</td>\n",
       "      <td>21252</td>\n",
       "      <td>https://pbs.twimg.com/media/CtKHLuCWYAA2TTs.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>golden retriever</td>\n",
       "      <td>0.993830</td>\n",
       "      <td>True</td>\n",
       "      <td>cocker spaniel</td>\n",
       "      <td>0.003143</td>\n",
       "      <td>True</td>\n",
       "      <td>Great Pyrenees</td>\n",
       "      <td>9.174140e-04</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>886983233522544640</td>\n",
       "      <td>2017-07-17 16:17:36+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Maya. She's very shy. Rarely leaves he...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/886983233...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Maya</td>\n",
       "      <td>None</td>\n",
       "      <td>8084</td>\n",
       "      <td>35859</td>\n",
       "      <td>https://pbs.twimg.com/media/DE8yicJW0AAAvBJ.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.793469</td>\n",
       "      <td>True</td>\n",
       "      <td>toy terrier</td>\n",
       "      <td>0.143528</td>\n",
       "      <td>True</td>\n",
       "      <td>can opener</td>\n",
       "      <td>3.225290e-02</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>882045870035918850</td>\n",
       "      <td>2017-07-04 01:18:17+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Koko. Her owner, inspired by Barney, r...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/882045870...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Koko</td>\n",
       "      <td>None</td>\n",
       "      <td>5203</td>\n",
       "      <td>29900</td>\n",
       "      <td>https://pbs.twimg.com/media/DD2oCl2WAAEI_4a.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>web site</td>\n",
       "      <td>0.949591</td>\n",
       "      <td>False</td>\n",
       "      <td>dhole</td>\n",
       "      <td>0.017326</td>\n",
       "      <td>False</td>\n",
       "      <td>golden retriever</td>\n",
       "      <td>6.940630e-03</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1161</th>\n",
       "      <td>700796979434098688</td>\n",
       "      <td>2016-02-19 21:39:54+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Daniel. He's a neat pup. Exotic af. Cu...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/700796979...</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>Daniel</td>\n",
       "      <td>None</td>\n",
       "      <td>1085</td>\n",
       "      <td>2669</td>\n",
       "      <td>https://pbs.twimg.com/media/Cbm7IeUXIAA6Lc-.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>tailed frog</td>\n",
       "      <td>0.652712</td>\n",
       "      <td>False</td>\n",
       "      <td>tree frog</td>\n",
       "      <td>0.280212</td>\n",
       "      <td>False</td>\n",
       "      <td>bullfrog</td>\n",
       "      <td>4.017750e-02</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>831315979191906304</td>\n",
       "      <td>2017-02-14 01:35:49+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com\" rel=\"nofollow\"&gt;Tw...</td>\n",
       "      <td>I couldn't make it to the #WKCDogShow BUT I ha...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/831315979...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>1264</td>\n",
       "      <td>7117</td>\n",
       "      <td>https://pbs.twimg.com/media/C4lst0bXAAE6MP8.jpg</td>\n",
       "      <td>4</td>\n",
       "      <td>briard</td>\n",
       "      <td>0.982755</td>\n",
       "      <td>True</td>\n",
       "      <td>soft-coated wheaten terrier</td>\n",
       "      <td>0.009084</td>\n",
       "      <td>True</td>\n",
       "      <td>Bouvier des Flandres</td>\n",
       "      <td>4.692800e-03</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>819347104292290561</td>\n",
       "      <td>2017-01-12 00:55:47+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Say hello to Anna and Elsa. They fall asleep i...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/819347104...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Anna</td>\n",
       "      <td>None</td>\n",
       "      <td>1383</td>\n",
       "      <td>8008</td>\n",
       "      <td>https://pbs.twimg.com/media/C17n1nrWQAIErU3.jpg</td>\n",
       "      <td>3</td>\n",
       "      <td>Rottweiler</td>\n",
       "      <td>0.909106</td>\n",
       "      <td>True</td>\n",
       "      <td>black-and-tan coonhound</td>\n",
       "      <td>0.044120</td>\n",
       "      <td>True</td>\n",
       "      <td>Doberman</td>\n",
       "      <td>3.183490e-02</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376</th>\n",
       "      <td>816697700272001025</td>\n",
       "      <td>2017-01-04 17:27:59+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Binky. She appears to be rather h*ckin...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/816697700...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Binky</td>\n",
       "      <td>None</td>\n",
       "      <td>2545</td>\n",
       "      <td>10905</td>\n",
       "      <td>https://pbs.twimg.com/media/C1V-K63UAAEUHqw.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.756992</td>\n",
       "      <td>True</td>\n",
       "      <td>Pomeranian</td>\n",
       "      <td>0.052850</td>\n",
       "      <td>True</td>\n",
       "      <td>Maltese dog</td>\n",
       "      <td>4.760780e-02</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>838916489579200512</td>\n",
       "      <td>2017-03-07 00:57:32+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>RT @KibaDva: I collected all the good dogs!! 1...</td>\n",
       "      <td>https://twitter.com/KibaDva/status/83890598062...</td>\n",
       "      <td>15</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "      <td>https://pbs.twimg.com/media/C6RkiQZUsAAM4R4.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>web site</td>\n",
       "      <td>0.993651</td>\n",
       "      <td>False</td>\n",
       "      <td>monitor</td>\n",
       "      <td>0.001406</td>\n",
       "      <td>False</td>\n",
       "      <td>envelope</td>\n",
       "      <td>1.093090e-03</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1816</th>\n",
       "      <td>670764103623966721</td>\n",
       "      <td>2015-11-29 00:39:59+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Meet Vincent. He's a wild Adderall Cayenne. Sh...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/670764103...</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>Vincent</td>\n",
       "      <td>None</td>\n",
       "      <td>466</td>\n",
       "      <td>1154</td>\n",
       "      <td>https://pbs.twimg.com/media/CU8IY0pWIAA2AJ-.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Norfolk terrier</td>\n",
       "      <td>0.172850</td>\n",
       "      <td>True</td>\n",
       "      <td>golden retriever</td>\n",
       "      <td>0.072702</td>\n",
       "      <td>True</td>\n",
       "      <td>television</td>\n",
       "      <td>3.749420e-02</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>829501995190984704</td>\n",
       "      <td>2017-02-09 01:27:41+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Leo. He was a skater pup. She said see...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/829501995...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Leo</td>\n",
       "      <td>None</td>\n",
       "      <td>12224</td>\n",
       "      <td>34913</td>\n",
       "      <td>https://pbs.twimg.com/media/C4L7p19W8AA3Fs_.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>French bulldog</td>\n",
       "      <td>0.950851</td>\n",
       "      <td>True</td>\n",
       "      <td>Pekinese</td>\n",
       "      <td>0.015200</td>\n",
       "      <td>True</td>\n",
       "      <td>pug</td>\n",
       "      <td>1.109360e-02</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1025</th>\n",
       "      <td>713177543487135744</td>\n",
       "      <td>2016-03-25 01:35:51+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Lance. Lance doesn't give a shit. 10/1...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/713177543...</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>Lance</td>\n",
       "      <td>None</td>\n",
       "      <td>3183</td>\n",
       "      <td>7854</td>\n",
       "      <td>https://pbs.twimg.com/media/CeW3MWMWQAEOMbq.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>whippet</td>\n",
       "      <td>0.734244</td>\n",
       "      <td>True</td>\n",
       "      <td>basenji</td>\n",
       "      <td>0.025948</td>\n",
       "      <td>True</td>\n",
       "      <td>Great Dane</td>\n",
       "      <td>2.587430e-02</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1750</th>\n",
       "      <td>671866342182637568</td>\n",
       "      <td>2015-12-02 01:39:53+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Meet Dylan. He can use a fork but clearly can'...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/671866342...</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>Dylan</td>\n",
       "      <td>None</td>\n",
       "      <td>548</td>\n",
       "      <td>1191</td>\n",
       "      <td>https://pbs.twimg.com/media/CVLy3zFWoAA93qJ.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Labrador retriever</td>\n",
       "      <td>0.875614</td>\n",
       "      <td>True</td>\n",
       "      <td>Chihuahua</td>\n",
       "      <td>0.032182</td>\n",
       "      <td>True</td>\n",
       "      <td>golden retriever</td>\n",
       "      <td>1.723250e-02</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>809448704142938112</td>\n",
       "      <td>2016-12-15 17:23:04+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>I call this one \"A Blep by the Sea\" 12/10 http...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/809448704...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1696</td>\n",
       "      <td>7727</td>\n",
       "      <td>https://pbs.twimg.com/media/Czu9RiwVEAA_Okk.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Greater Swiss Mountain dog</td>\n",
       "      <td>0.375415</td>\n",
       "      <td>True</td>\n",
       "      <td>Cardigan</td>\n",
       "      <td>0.134317</td>\n",
       "      <td>True</td>\n",
       "      <td>English springer</td>\n",
       "      <td>7.369710e-02</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1891</th>\n",
       "      <td>669328503091937280</td>\n",
       "      <td>2015-11-25 01:35:25+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Kirk. He just saw a bacon wrapped tenn...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/669328503...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Kirk</td>\n",
       "      <td>None</td>\n",
       "      <td>452</td>\n",
       "      <td>1081</td>\n",
       "      <td>https://pbs.twimg.com/media/CUnuuLEWEAAlKjN.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>Siberian husky</td>\n",
       "      <td>0.424202</td>\n",
       "      <td>True</td>\n",
       "      <td>Eskimo dog</td>\n",
       "      <td>0.237660</td>\n",
       "      <td>True</td>\n",
       "      <td>malamute</td>\n",
       "      <td>5.257170e-02</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1332</th>\n",
       "      <td>687312378585812992</td>\n",
       "      <td>2016-01-13 16:36:55+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>\"You got any games on your phone\" 7/10 for inv...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/687312378...</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>pupper</td>\n",
       "      <td>2146</td>\n",
       "      <td>4777</td>\n",
       "      <td>https://pbs.twimg.com/media/CYnS9VWW8AAeR8m.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>seat belt</td>\n",
       "      <td>0.703561</td>\n",
       "      <td>False</td>\n",
       "      <td>Great Dane</td>\n",
       "      <td>0.139909</td>\n",
       "      <td>True</td>\n",
       "      <td>Weimaraner</td>\n",
       "      <td>2.111250e-02</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1586</th>\n",
       "      <td>675497103322386432</td>\n",
       "      <td>2015-12-12 02:07:14+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>Meet Reggie. He's going for the world record. ...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/675497103...</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>Reggie</td>\n",
       "      <td>None</td>\n",
       "      <td>1443</td>\n",
       "      <td>3397</td>\n",
       "      <td>https://pbs.twimg.com/media/CV_ZAhcUkAUeKtZ.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>vizsla</td>\n",
       "      <td>0.519589</td>\n",
       "      <td>True</td>\n",
       "      <td>miniature pinscher</td>\n",
       "      <td>0.064771</td>\n",
       "      <td>True</td>\n",
       "      <td>Rhodesian ridgeback</td>\n",
       "      <td>6.149130e-02</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                tweet_id                 timestamp  \\\n",
       "464   801115127852503040 2016-11-22 17:28:25+00:00   \n",
       "829   747219827526344708 2016-06-27 00:07:44+00:00   \n",
       "1996  667435689202614272 2015-11-19 20:14:03+00:00   \n",
       "313   825876512159186944 2017-01-30 01:21:19+00:00   \n",
       "601   779834332596887552 2016-09-25 00:06:08+00:00   \n",
       "25    886983233522544640 2017-07-17 16:17:36+00:00   \n",
       "47    882045870035918850 2017-07-04 01:18:17+00:00   \n",
       "1161  700796979434098688 2016-02-19 21:39:54+00:00   \n",
       "278   831315979191906304 2017-02-14 01:35:49+00:00   \n",
       "353   819347104292290561 2017-01-12 00:55:47+00:00   \n",
       "376   816697700272001025 2017-01-04 17:27:59+00:00   \n",
       "229   838916489579200512 2017-03-07 00:57:32+00:00   \n",
       "1816  670764103623966721 2015-11-29 00:39:59+00:00   \n",
       "286   829501995190984704 2017-02-09 01:27:41+00:00   \n",
       "1025  713177543487135744 2016-03-25 01:35:51+00:00   \n",
       "1750  671866342182637568 2015-12-02 01:39:53+00:00   \n",
       "422   809448704142938112 2016-12-15 17:23:04+00:00   \n",
       "1891  669328503091937280 2015-11-25 01:35:25+00:00   \n",
       "1332  687312378585812992 2016-01-13 16:36:55+00:00   \n",
       "1586  675497103322386432 2015-12-12 02:07:14+00:00   \n",
       "\n",
       "                                                 source  \\\n",
       "464   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "829   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "1996  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "313   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "601   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "25    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "47    <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "1161  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "278   <a href=\"http://twitter.com\" rel=\"nofollow\">Tw...   \n",
       "353   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "376   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "229   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "1816  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "286   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "1025  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "1750  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "422   <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "1891  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "1332  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "1586  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "\n",
       "                                                   text  \\\n",
       "464   This is Bones. He's being haunted by another d...   \n",
       "829   This is Atticus. He's remaining calm but his c...   \n",
       "1996            Ermergerd 12/10 https://t.co/PQni2sjPsm   \n",
       "313   This is Mo. No one will push him around in the...   \n",
       "601   This is Scout. He really wants to kiss himself...   \n",
       "25    This is Maya. She's very shy. Rarely leaves he...   \n",
       "47    This is Koko. Her owner, inspired by Barney, r...   \n",
       "1161  This is Daniel. He's a neat pup. Exotic af. Cu...   \n",
       "278   I couldn't make it to the #WKCDogShow BUT I ha...   \n",
       "353   Say hello to Anna and Elsa. They fall asleep i...   \n",
       "376   This is Binky. She appears to be rather h*ckin...   \n",
       "229   RT @KibaDva: I collected all the good dogs!! 1...   \n",
       "1816  Meet Vincent. He's a wild Adderall Cayenne. Sh...   \n",
       "286   This is Leo. He was a skater pup. She said see...   \n",
       "1025  This is Lance. Lance doesn't give a shit. 10/1...   \n",
       "1750  Meet Dylan. He can use a fork but clearly can'...   \n",
       "422   I call this one \"A Blep by the Sea\" 12/10 http...   \n",
       "1891  This is Kirk. He just saw a bacon wrapped tenn...   \n",
       "1332  \"You got any games on your phone\" 7/10 for inv...   \n",
       "1586  Meet Reggie. He's going for the world record. ...   \n",
       "\n",
       "                                          expanded_urls  rating_numerator  \\\n",
       "464   https://twitter.com/dog_rates/status/801115127...                12   \n",
       "829   https://twitter.com/dog_rates/status/747219827...                11   \n",
       "1996  https://twitter.com/dog_rates/status/667435689...                12   \n",
       "313   https://twitter.com/dog_rates/status/825876512...                11   \n",
       "601   https://twitter.com/dog_rates/status/779834332...                11   \n",
       "25    https://twitter.com/dog_rates/status/886983233...                13   \n",
       "47    https://twitter.com/dog_rates/status/882045870...                13   \n",
       "1161  https://twitter.com/dog_rates/status/700796979...                 7   \n",
       "278   https://twitter.com/dog_rates/status/831315979...                13   \n",
       "353   https://twitter.com/dog_rates/status/819347104...                12   \n",
       "376   https://twitter.com/dog_rates/status/816697700...                12   \n",
       "229   https://twitter.com/KibaDva/status/83890598062...                15   \n",
       "1816  https://twitter.com/dog_rates/status/670764103...                10   \n",
       "286   https://twitter.com/dog_rates/status/829501995...                12   \n",
       "1025  https://twitter.com/dog_rates/status/713177543...                10   \n",
       "1750  https://twitter.com/dog_rates/status/671866342...                10   \n",
       "422   https://twitter.com/dog_rates/status/809448704...                12   \n",
       "1891  https://twitter.com/dog_rates/status/669328503...                12   \n",
       "1332  https://twitter.com/dog_rates/status/687312378...                 7   \n",
       "1586  https://twitter.com/dog_rates/status/675497103...                11   \n",
       "\n",
       "      rating_denominator     name dog_type  retweet_count  favorite_count  \\\n",
       "464                   10    Bones   pupper           2429            8992   \n",
       "829                   10  Atticus     None           1791            5792   \n",
       "1996                  10     None     None             89             326   \n",
       "313                   10       Mo     None           2146           11525   \n",
       "601                   10    Scout     None           8237           21252   \n",
       "25                    10     Maya     None           8084           35859   \n",
       "47                    10     Koko     None           5203           29900   \n",
       "1161                  10   Daniel     None           1085            2669   \n",
       "278                   10     None   pupper           1264            7117   \n",
       "353                   10     Anna     None           1383            8008   \n",
       "376                   10    Binky     None           2545           10905   \n",
       "229                   10     None     None             38               0   \n",
       "1816                  10  Vincent     None            466            1154   \n",
       "286                   10      Leo     None          12224           34913   \n",
       "1025                  10    Lance     None           3183            7854   \n",
       "1750                  10    Dylan     None            548            1191   \n",
       "422                   10     None     None           1696            7727   \n",
       "1891                  10     Kirk     None            452            1081   \n",
       "1332                  10     None   pupper           2146            4777   \n",
       "1586                  10   Reggie     None           1443            3397   \n",
       "\n",
       "                                              jpg_url  img_num  \\\n",
       "464   https://pbs.twimg.com/media/Cx4h7zHUsAAqaJd.jpg        1   \n",
       "829   https://pbs.twimg.com/media/Cl6odlVWQAIy5uk.jpg        2   \n",
       "1996  https://pbs.twimg.com/media/CUM1OHCW4AEgGSi.jpg        1   \n",
       "313   https://pbs.twimg.com/media/C3YaSnQWAAILgz0.jpg        1   \n",
       "601   https://pbs.twimg.com/media/CtKHLuCWYAA2TTs.jpg        1   \n",
       "25    https://pbs.twimg.com/media/DE8yicJW0AAAvBJ.jpg        2   \n",
       "47    https://pbs.twimg.com/media/DD2oCl2WAAEI_4a.jpg        1   \n",
       "1161  https://pbs.twimg.com/media/Cbm7IeUXIAA6Lc-.jpg        1   \n",
       "278   https://pbs.twimg.com/media/C4lst0bXAAE6MP8.jpg        4   \n",
       "353   https://pbs.twimg.com/media/C17n1nrWQAIErU3.jpg        3   \n",
       "376   https://pbs.twimg.com/media/C1V-K63UAAEUHqw.jpg        1   \n",
       "229   https://pbs.twimg.com/media/C6RkiQZUsAAM4R4.jpg        2   \n",
       "1816  https://pbs.twimg.com/media/CU8IY0pWIAA2AJ-.jpg        1   \n",
       "286   https://pbs.twimg.com/media/C4L7p19W8AA3Fs_.jpg        1   \n",
       "1025  https://pbs.twimg.com/media/CeW3MWMWQAEOMbq.jpg        1   \n",
       "1750  https://pbs.twimg.com/media/CVLy3zFWoAA93qJ.jpg        1   \n",
       "422   https://pbs.twimg.com/media/Czu9RiwVEAA_Okk.jpg        1   \n",
       "1891  https://pbs.twimg.com/media/CUnuuLEWEAAlKjN.jpg        1   \n",
       "1332  https://pbs.twimg.com/media/CYnS9VWW8AAeR8m.jpg        1   \n",
       "1586  https://pbs.twimg.com/media/CV_ZAhcUkAUeKtZ.jpg        1   \n",
       "\n",
       "                              p1   p1_conf  p1_dog  \\\n",
       "464                    dalmatian  0.823356    True   \n",
       "829            Shetland sheepdog  0.548018    True   \n",
       "1996                  Rottweiler  0.999091    True   \n",
       "313                shopping cart  0.995941   False   \n",
       "601             golden retriever  0.993830    True   \n",
       "25                     Chihuahua  0.793469    True   \n",
       "47                      web site  0.949591   False   \n",
       "1161                 tailed frog  0.652712   False   \n",
       "278                       briard  0.982755    True   \n",
       "353                   Rottweiler  0.909106    True   \n",
       "376                    Chihuahua  0.756992    True   \n",
       "229                     web site  0.993651   False   \n",
       "1816             Norfolk terrier  0.172850    True   \n",
       "286               French bulldog  0.950851    True   \n",
       "1025                     whippet  0.734244    True   \n",
       "1750          Labrador retriever  0.875614    True   \n",
       "422   Greater Swiss Mountain dog  0.375415    True   \n",
       "1891              Siberian husky  0.424202    True   \n",
       "1332                   seat belt  0.703561   False   \n",
       "1586                      vizsla  0.519589    True   \n",
       "\n",
       "                               p2   p2_conf  p2_dog                       p3  \\\n",
       "464                English setter  0.094602    True                 bluetick   \n",
       "829                        marmot  0.165503   False                   collie   \n",
       "1996           miniature pinscher  0.000450    True  black-and-tan coonhound   \n",
       "313               shopping basket  0.004057   False                mousetrap   \n",
       "601                cocker spaniel  0.003143    True           Great Pyrenees   \n",
       "25                    toy terrier  0.143528    True               can opener   \n",
       "47                          dhole  0.017326   False         golden retriever   \n",
       "1161                    tree frog  0.280212   False                 bullfrog   \n",
       "278   soft-coated wheaten terrier  0.009084    True     Bouvier des Flandres   \n",
       "353       black-and-tan coonhound  0.044120    True                 Doberman   \n",
       "376                    Pomeranian  0.052850    True              Maltese dog   \n",
       "229                       monitor  0.001406   False                 envelope   \n",
       "1816             golden retriever  0.072702    True               television   \n",
       "286                      Pekinese  0.015200    True                      pug   \n",
       "1025                      basenji  0.025948    True               Great Dane   \n",
       "1750                    Chihuahua  0.032182    True         golden retriever   \n",
       "422                      Cardigan  0.134317    True         English springer   \n",
       "1891                   Eskimo dog  0.237660    True                 malamute   \n",
       "1332                   Great Dane  0.139909    True               Weimaraner   \n",
       "1586           miniature pinscher  0.064771    True      Rhodesian ridgeback   \n",
       "\n",
       "           p3_conf  p3_dog  \n",
       "464   2.195340e-02    True  \n",
       "829   4.300260e-02    True  \n",
       "1996  1.571400e-04    True  \n",
       "313   8.832830e-07   False  \n",
       "601   9.174140e-04    True  \n",
       "25    3.225290e-02   False  \n",
       "47    6.940630e-03    True  \n",
       "1161  4.017750e-02   False  \n",
       "278   4.692800e-03    True  \n",
       "353   3.183490e-02    True  \n",
       "376   4.760780e-02    True  \n",
       "229   1.093090e-03   False  \n",
       "1816  3.749420e-02   False  \n",
       "286   1.109360e-02    True  \n",
       "1025  2.587430e-02    True  \n",
       "1750  1.723250e-02    True  \n",
       "422   7.369710e-02    True  \n",
       "1891  5.257170e-02    True  \n",
       "1332  2.111250e-02    True  \n",
       "1586  6.149130e-02    True  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.sample(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# define\n",
    "removing the tweets without images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data = all_data[pd.notnull(all_data[\"jpg_url\"])] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 2073 entries, 0 to 2072\n",
      "Data columns (total 22 columns):\n",
      " #   Column              Non-Null Count  Dtype              \n",
      "---  ------              --------------  -----              \n",
      " 0   tweet_id            2073 non-null   int64              \n",
      " 1   timestamp           2073 non-null   datetime64[ns, UTC]\n",
      " 2   source              2073 non-null   object             \n",
      " 3   text                2073 non-null   object             \n",
      " 4   expanded_urls       2073 non-null   object             \n",
      " 5   rating_numerator    2073 non-null   int64              \n",
      " 6   rating_denominator  2073 non-null   int64              \n",
      " 7   name                2073 non-null   object             \n",
      " 8   dog_type            2073 non-null   object             \n",
      " 9   retweet_count       2073 non-null   int64              \n",
      " 10  favorite_count      2073 non-null   int64              \n",
      " 11  jpg_url             2073 non-null   object             \n",
      " 12  img_num             2073 non-null   int64              \n",
      " 13  p1                  2073 non-null   object             \n",
      " 14  p1_conf             2073 non-null   float64            \n",
      " 15  p1_dog              2073 non-null   bool               \n",
      " 16  p2                  2073 non-null   object             \n",
      " 17  p2_conf             2073 non-null   float64            \n",
      " 18  p2_dog              2073 non-null   bool               \n",
      " 19  p3                  2073 non-null   object             \n",
      " 20  p3_conf             2073 non-null   float64            \n",
      " 21  p3_dog              2073 non-null   bool               \n",
      "dtypes: bool(3), datetime64[ns, UTC](1), float64(3), int64(6), object(9)\n",
      "memory usage: 330.0+ KB\n"
     ]
    }
   ],
   "source": [
    "all_data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>expanded_urls</th>\n",
       "      <th>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "      <th>name</th>\n",
       "      <th>dog_type</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>favorite_count</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>892420643555336193</td>\n",
       "      <td>2017-08-01 16:23:56+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Phineas. He's a mystical boy. Only eve...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/892420643...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Phineas</td>\n",
       "      <td>None</td>\n",
       "      <td>8853</td>\n",
       "      <td>39467</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",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>892177421306343426</td>\n",
       "      <td>2017-08-01 00:17:27+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Tilly. She's just checking pup on you....</td>\n",
       "      <td>https://twitter.com/dog_rates/status/892177421...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Tilly</td>\n",
       "      <td>None</td>\n",
       "      <td>6514</td>\n",
       "      <td>33819</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>2</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>2017-07-31 00:18:03+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Archie. He is a rare Norwegian Pouncin...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/891815181...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Archie</td>\n",
       "      <td>None</td>\n",
       "      <td>4328</td>\n",
       "      <td>25461</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>3</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>2017-07-30 15:58:51+00:00</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>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>8964</td>\n",
       "      <td>42908</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>4</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>2017-07-29 16:00:24+00:00</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>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>9774</td>\n",
       "      <td>41048</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>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2068</th>\n",
       "      <td>666049248165822465</td>\n",
       "      <td>2015-11-16 00:24:50+00:00</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>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>41</td>\n",
       "      <td>111</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>2069</th>\n",
       "      <td>666044226329800704</td>\n",
       "      <td>2015-11-16 00:04:52+00:00</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>https://twitter.com/dog_rates/status/666044226...</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>147</td>\n",
       "      <td>311</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>2070</th>\n",
       "      <td>666033412701032449</td>\n",
       "      <td>2015-11-15 23:21:54+00:00</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>https://twitter.com/dog_rates/status/666033412...</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>47</td>\n",
       "      <td>128</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>2071</th>\n",
       "      <td>666029285002620928</td>\n",
       "      <td>2015-11-15 23:05:30+00:00</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>https://twitter.com/dog_rates/status/666029285...</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>48</td>\n",
       "      <td>132</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>2072</th>\n",
       "      <td>666020888022790149</td>\n",
       "      <td>2015-11-15 22:32:08+00:00</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>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>532</td>\n",
       "      <td>2535</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",
       "  </tbody>\n",
       "</table>\n",
       "<p>2073 rows × 22 columns</p>\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",
       "2068  666049248165822465 2015-11-16 00:24:50+00:00   \n",
       "2069  666044226329800704 2015-11-16 00:04:52+00:00   \n",
       "2070  666033412701032449 2015-11-15 23:21:54+00:00   \n",
       "2071  666029285002620928 2015-11-15 23:05:30+00:00   \n",
       "2072  666020888022790149 2015-11-15 22:32:08+00:00   \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",
       "2068  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2069  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2070  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2071  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "2072  <a href=\"http://twitter.com/download/iphone\" r...   \n",
       "\n",
       "                                                   text  \\\n",
       "0     This is Phineas. He's a mystical boy. Only eve...   \n",
       "1     This is Tilly. She's just checking pup on you....   \n",
       "2     This is Archie. He is a rare Norwegian Pouncin...   \n",
       "3     This is Darla. She commenced a snooze mid meal...   \n",
       "4     This is Franklin. He would like you to stop ca...   \n",
       "...                                                 ...   \n",
       "2068  Here we have a 1949 1st generation vulpix. Enj...   \n",
       "2069  This is a purebred Piers Morgan. Loves to Netf...   \n",
       "2070  Here is a very happy pup. Big fan of well-main...   \n",
       "2071  This is a western brown Mitsubishi terrier. Up...   \n",
       "2072  Here we have a Japanese Irish Setter. Lost eye...   \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",
       "2068  https://twitter.com/dog_rates/status/666049248...                 5   \n",
       "2069  https://twitter.com/dog_rates/status/666044226...                 6   \n",
       "2070  https://twitter.com/dog_rates/status/666033412...                 9   \n",
       "2071  https://twitter.com/dog_rates/status/666029285...                 7   \n",
       "2072  https://twitter.com/dog_rates/status/666020888...                 8   \n",
       "\n",
       "      rating_denominator      name dog_type  retweet_count  favorite_count  \\\n",
       "0                     10   Phineas     None           8853           39467   \n",
       "1                     10     Tilly     None           6514           33819   \n",
       "2                     10    Archie     None           4328           25461   \n",
       "3                     10     Darla     None           8964           42908   \n",
       "4                     10  Franklin     None           9774           41048   \n",
       "...                  ...       ...      ...            ...             ...   \n",
       "2068                  10      None     None             41             111   \n",
       "2069                  10      None     None            147             311   \n",
       "2070                  10      None     None             47             128   \n",
       "2071                  10      None     None             48             132   \n",
       "2072                  10      None     None            532            2535   \n",
       "\n",
       "                                              jpg_url  img_num  \\\n",
       "0     https://pbs.twimg.com/media/DGKD1-bXoAAIAUK.jpg        1   \n",
       "1     https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg        1   \n",
       "2     https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg        1   \n",
       "3     https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg        1   \n",
       "4     https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg        2   \n",
       "...                                               ...      ...   \n",
       "2068  https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg        1   \n",
       "2069  https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg        1   \n",
       "2070  https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg        1   \n",
       "2071  https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg        1   \n",
       "2072  https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg        1   \n",
       "\n",
       "                          p1   p1_conf  p1_dog                  p2   p2_conf  \\\n",
       "0                     orange  0.097049   False               bagel  0.085851   \n",
       "1                  Chihuahua  0.323581    True            Pekinese  0.090647   \n",
       "2                  Chihuahua  0.716012    True            malamute  0.078253   \n",
       "3                paper towel  0.170278   False  Labrador retriever  0.168086   \n",
       "4                     basset  0.555712    True    English springer  0.225770   \n",
       "...                      ...       ...     ...                 ...       ...   \n",
       "2068      miniature pinscher  0.560311    True          Rottweiler  0.243682   \n",
       "2069     Rhodesian ridgeback  0.408143    True             redbone  0.360687   \n",
       "2070         German shepherd  0.596461    True            malinois  0.138584   \n",
       "2071                 redbone  0.506826    True  miniature pinscher  0.074192   \n",
       "2072  Welsh springer spaniel  0.465074    True              collie  0.156665   \n",
       "\n",
       "      p2_dog                           p3   p3_conf  p3_dog  \n",
       "0      False                       banana  0.076110   False  \n",
       "1       True                     papillon  0.068957    True  \n",
       "2       True                       kelpie  0.031379    True  \n",
       "3       True                      spatula  0.040836   False  \n",
       "4       True  German short-haired pointer  0.175219    True  \n",
       "...      ...                          ...       ...     ...  \n",
       "2068    True                     Doberman  0.154629    True  \n",
       "2069    True           miniature pinscher  0.222752    True  \n",
       "2070    True                   bloodhound  0.116197    True  \n",
       "2071    True          Rhodesian ridgeback  0.072010    True  \n",
       "2072    True            Shetland sheepdog  0.061428    True  \n",
       "\n",
       "[2073 rows x 22 columns]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Storing data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data.to_csv(\"twitter_archive_master_new.csv\",encoding=\"Utf-8\",index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data_new=pd.read_csv(\"twitter_archive_master_new.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tweet_id</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>expanded_urls</th>\n",
       "      <th>rating_numerator</th>\n",
       "      <th>rating_denominator</th>\n",
       "      <th>name</th>\n",
       "      <th>dog_type</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>favorite_count</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>892420643555336193</td>\n",
       "      <td>2017-08-01 16:23:56+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Phineas. He's a mystical boy. Only eve...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/892420643...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Phineas</td>\n",
       "      <td>None</td>\n",
       "      <td>8853</td>\n",
       "      <td>39467</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",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>892177421306343426</td>\n",
       "      <td>2017-08-01 00:17:27+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Tilly. She's just checking pup on you....</td>\n",
       "      <td>https://twitter.com/dog_rates/status/892177421...</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>Tilly</td>\n",
       "      <td>None</td>\n",
       "      <td>6514</td>\n",
       "      <td>33819</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>2</th>\n",
       "      <td>891815181378084864</td>\n",
       "      <td>2017-07-31 00:18:03+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n",
       "      <td>This is Archie. He is a rare Norwegian Pouncin...</td>\n",
       "      <td>https://twitter.com/dog_rates/status/891815181...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>Archie</td>\n",
       "      <td>None</td>\n",
       "      <td>4328</td>\n",
       "      <td>25461</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>3</th>\n",
       "      <td>891689557279858688</td>\n",
       "      <td>2017-07-30 15:58:51+00:00</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>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>8964</td>\n",
       "      <td>42908</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>4</th>\n",
       "      <td>891327558926688256</td>\n",
       "      <td>2017-07-29 16:00:24+00:00</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>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>9774</td>\n",
       "      <td>41048</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",
       "  </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",
       "                                              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  \\\n",
       "0  This is Phineas. He's a mystical boy. Only eve...   \n",
       "1  This is Tilly. She's just checking pup on you....   \n",
       "2  This is Archie. He is a rare Norwegian Pouncin...   \n",
       "3  This is Darla. She commenced a snooze mid meal...   \n",
       "4  This is Franklin. He would like you to stop ca...   \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 dog_type  retweet_count  favorite_count  \\\n",
       "0                  10   Phineas     None           8853           39467   \n",
       "1                  10     Tilly     None           6514           33819   \n",
       "2                  10    Archie     None           4328           25461   \n",
       "3                  10     Darla     None           8964           42908   \n",
       "4                  10  Franklin     None           9774           41048   \n",
       "\n",
       "                                           jpg_url  img_num           p1  \\\n",
       "0  https://pbs.twimg.com/media/DGKD1-bXoAAIAUK.jpg        1       orange   \n",
       "1  https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg        1    Chihuahua   \n",
       "2  https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg        1    Chihuahua   \n",
       "3  https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg        1  paper towel   \n",
       "4  https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg        2       basset   \n",
       "\n",
       "    p1_conf  p1_dog                  p2   p2_conf  p2_dog  \\\n",
       "0  0.097049   False               bagel  0.085851   False   \n",
       "1  0.323581    True            Pekinese  0.090647    True   \n",
       "2  0.716012    True            malamute  0.078253    True   \n",
       "3  0.170278   False  Labrador retriever  0.168086    True   \n",
       "4  0.555712    True    English springer  0.225770    True   \n",
       "\n",
       "                            p3   p3_conf  p3_dog  \n",
       "0                       banana  0.076110   False  \n",
       "1                     papillon  0.068957    True  \n",
       "2                       kelpie  0.031379    True  \n",
       "3                      spatula  0.040836   False  \n",
       "4  German short-haired pointer  0.175219    True  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data_new.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2073 entries, 0 to 2072\n",
      "Data columns (total 22 columns):\n",
      " #   Column              Non-Null Count  Dtype  \n",
      "---  ------              --------------  -----  \n",
      " 0   tweet_id            2073 non-null   int64  \n",
      " 1   timestamp           2073 non-null   object \n",
      " 2   source              2073 non-null   object \n",
      " 3   text                2073 non-null   object \n",
      " 4   expanded_urls       2073 non-null   object \n",
      " 5   rating_numerator    2073 non-null   int64  \n",
      " 6   rating_denominator  2073 non-null   int64  \n",
      " 7   name                2073 non-null   object \n",
      " 8   dog_type            2073 non-null   object \n",
      " 9   retweet_count       2073 non-null   int64  \n",
      " 10  favorite_count      2073 non-null   int64  \n",
      " 11  jpg_url             2073 non-null   object \n",
      " 12  img_num             2073 non-null   int64  \n",
      " 13  p1                  2073 non-null   object \n",
      " 14  p1_conf             2073 non-null   float64\n",
      " 15  p1_dog              2073 non-null   bool   \n",
      " 16  p2                  2073 non-null   object \n",
      " 17  p2_conf             2073 non-null   float64\n",
      " 18  p2_dog              2073 non-null   bool   \n",
      " 19  p3                  2073 non-null   object \n",
      " 20  p3_conf             2073 non-null   float64\n",
      " 21  p3_dog              2073 non-null   bool   \n",
      "dtypes: bool(3), float64(3), int64(6), object(10)\n",
      "memory usage: 313.9+ KB\n"
     ]
    }
   ],
   "source": [
    "all_data_new.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "we will look rating dog in pie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/eslam/anaconda3/lib/python3.8/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "plt.style.use(\"dark_background\")\n",
    "data = all_data_new[\"rating_numerator\"].value_counts()\n",
    "x = data.index\n",
    "y = data.values\n",
    "fig, ax = plt.subplots(figsize=(12,6))\n",
    "g =sns.barplot(x,y, palette=\"Blues\",ax=ax)\n",
    "ax.set(xlabel=\"Ratings\",ylabel=\"frequency\", title= \"Rating Frequency\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "this graph show us most rating for dog is 12 and some pepole don't like its dog because he give its little rating "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'favorites and retweets')"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "all_data_new.plot(kind=\"scatter\", x=\"favorite_count\",y= \"retweet_count\",alpha= 0.5, figsize=(7,7) , color=\"blue\")\n",
    "plt.xlabel(\"favorites\")\n",
    "plt.ylabel(\"retweets\")\n",
    "plt.title(\"favorites and retweets\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "more retweet mean more favourite"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/eslam/anaconda3/lib/python3.8/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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sxG0IAQDnxf3hAaBpEcABAOfF/eEBoGmxBAUAAACwEQEcAAAAsBEBHAAAALBRswXwhQsXqqysTDt27LD6OnTooJSUFO3evVspKSny8/OztsXHxys/P1+7du3S8OHDrf4+ffooJydH+fn5mjNnjtXv6empFStWKD8/X+np6QoNDW2uoQAAAABNptkC+JIlSxQZGVmrLz4+XqmpqerevbtSU1MVHx8vSQoPD1d0dLR69uypyMhIzZ07V25u50qbN2+e4uLiFBYWprCwMOs5Y2NjVVlZqbCwML322mv6y1/+0lxDAQAAAJpMswXwzz77TIcOHarVFxUVpYSEBElSQkKCRo4cafWvWLFCp06d0t69e1VQUKC+ffsqICBA7dq1U3p6uiRp6dKltY757rnef/99DR06tLmGAgAAADQZW9eAd+7cWaWlpZKk0tJSderUSZIUFBSk4uJiaz+n06mgoCAFBQXJ6XTW6f/hMWfOnFFVVZU6duxY73knTZqkzMxMZWZmyt/fv1nGBgAAADTGJfEhTIfDUafPGNNg//mOqc+CBQsUERGhiIgIVVRU/MRqAQAAgItnawAvKytTQECAJCkgIEDl5eWSzl3ZDgkJsfYLDg5WSUmJnE6ngoOD6/T/8Bh3d3e1b9++zpIXAAAA4FJjawBPSkpSTEyMJCkmJkarV6+2+qOjo+Xp6amuXbsqLCxMGRkZKi0tVXV1tfr16ydJGjduXK1jvnuuBx54QOvWrbNzKAAAAMBFabavol++fLluv/12+fv7q7i4WLNmzdJLL72kxMRExcbGqqioSKNGjZIk5ebmKjExUbm5uaqpqdHUqVN19uxZSdLkyZO1ZMkS+fj4KDk5WcnJyZLO3eZw2bJlys/P16FDhxQdHd1cQwEAAACajENS/QunW6jMzExFRES4ugzgktS/f3/5+vrq+PHj1t2HAOYFAFychnLnJfEhTAAAAOBKQQAHAAAAbEQABwAAAGzUbB/CBAAAwJXlxhtvlLe3t06ePKmsrCxXl3PJIoADAACgSXh7e8vX19fVZVzyWIICAAAA2IgADgAAANiIAA4AAADYiAAOAAAA2IgADgAAANiIAA4AAADYiAAOAAAA2IgADgAAANiIAA4AAADYiAAOAAAA2IgADgAAANiIAA4AAADYiAAOAAAA2IgADgAAANiIAA4AAADYiAAOAAAA2IgADgAAANiIAA4AAADYiAAOAAAA2IgADgAAANiIAA4AAADYiAAOAAAA2IgADgAAANiIAA4AAADYiAAOAAAA2IgADgAAANiIAA4AAADYiAAOAAAA2IgADgAAANiIAA4AAADYiAAOAAAA2IgADgAAANiIAA4AAADYiAAOAAAA2IgADgAAANiIAA4AAADYiAAOAAAA2IgADgAAANiIAA4AAADYiAAOAAAA2IgADgAAANiIAA4AAADYiAAOAAAA2IgADgAAANiIAA4AAADYyCUB/OGHH9aXX36pHTt2aPny5fLy8lKHDh2UkpKi3bt3KyUlRX5+ftb+8fHxys/P165duzR8+HCrv0+fPsrJyVF+fr7mzJnjgpEAAAAAF8b2AB4YGKjp06frlltuUa9eveTu7q7o6GjFx8crNTVV3bt3V2pqquLj4yVJ4eHhio6OVs+ePRUZGam5c+fKze1c2fPmzVNcXJzCwsIUFhamyMhIu4cDAAAAXBCXXAH38PCQj4+P3N3d5evrq5KSEkVFRSkhIUGSlJCQoJEjR0qSoqKitGLFCp06dUp79+5VQUGB+vbtq4CAALVr107p6emSpKVLl1rHAAAAAJcq2wN4SUmJXn75ZRUVFWn//v2qqqrSJ598os6dO6u0tFSSVFpaqk6dOkmSgoKCVFxcbB3vdDoVFBSkoKAgOZ3OOv31mTRpkjIzM5WZmSl/f/9mHB0AAABwfrYHcD8/P0VFRenaa69VYGCgWrdurTFjxjS4v8PhqNNnjGmwvz4LFixQRESEIiIiVFFRcfHFAwAAAD+R7QF82LBhKiwsVEVFhWpqavThhx/qtttuU1lZmQICAiRJAQEBKi8vl3TuynZISIh1fHBwsEpKSuR0OhUcHFynHwAAALiU2R7Ai4qK1L9/f/n4+EiShg4dqry8PCUlJSkmJkaSFBMTo9WrV0uSkpKSFB0dLU9PT3Xt2lVhYWHKyMhQaWmpqqur1a9fP0nSuHHjrGMAAACAS5WH3SfMyMjQ+++/r23btqmmpkbbt2/XW2+9pTZt2igxMVGxsbEqKirSqFGjJEm5ublKTExUbm6uampqNHXqVJ09e1aSNHnyZC1ZskQ+Pj5KTk5WcnKy3cMBAAAALohDUv0Lp1uozMxMRUREuLoM4JLUv39/+fr66vjx49YdhgDmBYDG4u+L2hrKnXwTJgAAAGAjAjgAAABgIwI4AAAAYCMCOAAAAGAjAjgAAABgIwI4AAAAYCMCOAAAAGAjAjgAAABgIwI4AAAAYCMCOAAAAGAjD1cXAFyu1mz72tUlNLnFLz2jwxVlCuxyrdbMXe7qcprUvX26uboEAAAkcQUcAAAAsBUBHAAAALARARwAAACwEQEcAAAAsBEBHAAAALARARwAAACwEQEcAAAAsBEBHAAAALARARwAAACwEQEcAAAAsBEBHAAAALARARwAAACwEQEcAAAAsBEBHAAAALARARwAAACwEQEcAAAAsBEBHAAAALARARwAAACwEQEcAAAAsBEBHAAAALARARwAAACwEQEcAAAAsBEBHAAAALCRh6sLAICWJD4x3dUlNLns917Rt1UH1eGaEMUnvu7qcprMSw/2d3UJAK5QXAEHAAAAbEQABwAAAGxEAAcAAABsRAAHAAAAbEQABwAAAGxEAAcAAABsRAAHAAAAbEQABwAAAGxEAAcAAABsRAAHAAAAbEQABwAAAGxEAAcAAABsRAAHAAAAbEQABwAAAGxEAAcAAABs1KgA/sADDzSqr7Hat2+vf/7zn8rLy1Nubq769++vDh06KCUlRbt371ZKSor8/Pys/ePj45Wfn69du3Zp+PDhVn+fPn2Uk5Oj/Px8zZkz56LrAQAAAOzSqAD+1FNPNaqvsebMmaO1a9cqPDxcvXv3Vl5enuLj45Wamqru3bsrNTVV8fHxkqTw8HBFR0erZ8+eioyM1Ny5c+Xmdq7sefPmKS4uTmFhYQoLC1NkZORF1wQAAADYweN8GyMjIzVixAgFBQXVusLcrl071dTUXNQJ27Ztq8GDB2v8+PGSpNOnT6uqqkpRUVG6/fbbJUkJCQlav3694uPjFRUVpRUrVujUqVPau3evCgoK1LdvX+3du1ft2rVTenq6JGnp0qUaOXKk1q5de1F1AQAAAHY4bwAvKSnRf//7X91333364osvrP7q6mo98sgjF3XCbt266cCBA1q8eLF69+6tL774QjNmzFDnzp1VWloqSSotLVWnTp0kSUFBQVbIliSn06mgoCCdPn1aTqezTn99Jk2apLi4OEmSv7//RdUNAAAANIXzBvCcnBzl5ORo+fLl8vDwUJcuXbR79+6fdkIPD/Xp00fTpk1TRkaGXn/9dWu5SX0cDkedPmNMg/31WbBggRYsWCBJyszMvMjKAQAAgJ+uUWvAIyMjlZWVZS3v6N27t1avXn1RJ3Q6nXI6ncrIyJAkvf/+++rTp4/KysoUEBAgSQoICFB5ebm1f0hIiHV8cHCwSkpK5HQ6FRwcXKcfAAAAuJQ1KoA/++yz6tu3rw4fPixJys7OVteuXS/qhGVlZSouLlb37t0lSUOHDlVubq6SkpIUExMjSYqJibECflJSkqKjo+Xp6amuXbsqLCxMGRkZKi0tVXV1tfr16ydJGjdu3EX/UgAAAADY5bxLUL5TU1OjI0eONNlJp02bpnfffVeenp76+uuvNWHCBLm5uSkxMVGxsbEqKirSqFGjJEm5ublKTExUbm6uampqNHXqVJ09e1aSNHnyZC1ZskQ+Pj5KTk5WcnJyk9UIAAAANIdGBfAvv/xSo0ePlru7u372s59p+vTp2rJly0WfNDs7WxEREXX6hw0bVu/+s2fP1uzZs+v0f/HFF+rVq9dF1wEAAADYrVFLUKZNm6aePXvq22+/1fLly1VVVaWHH364mUsDAAAAWp5GXQE/ceKE/vjHP2r27Nk6fvx4c9cEAAAAtFiNugJ+6623aufOncrLy5Mk/eIXv9Cbb77ZrIUBAAAALVGjAvhrr72mu+66SwcPHpR07v7ggwcPbtbCAAAAgJaoUQFcUq1vnZSkM2fONHkxAAAAQEvXqDXgxcXFuvXWW2WMUatWrTR9+nRrOQoAAACAxmvUFfA//OEPmjp1qoKCguR0OnXjjTdq6tSpzV0bAAAA0OI06gr40aNHNXbs2OauBQAAAGjxGv1FPGVlZfrss8+0ceNGbd68uUm/GRMAAAC4UjRqCUpYWJhGjx6tHTt26J577lF2dra2b9/e3LUBAAAALU6jroAHBQVpwIABGjRokHr37q2dO3dq06ZNzV0bAAAA0OI0KoAXFRUpMzNTs2fP1uTJk5u7JgAAAKDFatQSlJtuuklLly7Vb37zG23ZskUJCQmaOHFic9cGAAAAtDiNugKek5OjPXv2aM+ePRo0aJDGjh2rwYMHa9GiRc1dHwAAANCiNCqAZ2ZmysvLS1u2bNGmTZs0ePBgFRUVNXdtAAAAQIvTqAA+ZcoUZWZm1urr2rWr9u7d2xw1AQAAAC1Wo9aAz58/v07f+++/3+TFAAAAAC3dea+A9+jRQz179lT79u31q1/9yupv166dvL29m704AAAAoKX50QB+zz33yM/PT/fee6/VX11drUmTJjV7cQAAAEBLc94AnpSUpKSkJPXv31/p6el21QQAAAC0WI1aA37w4EF9+umn2rFjhySpV69eeuaZZ5q1MAAAAKAlalQAX7BggZ566imdPn1akrRjxw5FR0c3a2EAAABAS9SoAO7r61vnNoQ1NTXNUhAAAADQkjUqgFdUVKhbt24yxkiS7r//fu3fv79ZCwMAAABaokZ9Ec/UqVP11ltv6frrr5fT6VRhYaHGjBnT3LUBAAAALU6jAnhhYaHuvPNO+fr6ys3NTSdOnNCvf/1rLV++vLnrAwAAaJG6jZnj6hKaXKvyT6Uzx9Sq7dUtanxfvzujSZ/vvEtQ2rZtq/j4eL3xxhsaNmyYjh8/rpiYGBUUFOjBBx9s0kIAAACAK8F5r4AvW7ZMlZWV2rp1qyZNmqQnnnhCnp6eGjlypLKzs+2qEQAAAGgxzhvAu3Xrpl/84heSpLffflsVFRXq0qWLjh49aktxAAAAQEtz3gD+3X2/Jens2bMqLCwkfAMtWLurOtb6EwAANL3zBvDevXurqqpKkuRwOOTj46Oqqio5HA4ZY9S+fXtbigRgj/vjHnV1CQAAtHjnDeAeHo26SQoAAACARmrUF/EAAAAAaBoEcAAAAMBGBHAAAADARgRwAAAAwEYEcAAAAMBGBHAAAADARgRwAAAAwEYEcAAAAMBGBHAAAADARgRwAAAAwEYEcAAAAMBGBHAAAADARgRwAAAAwEYEcAAAAMBGBHAAAADARgRwAAAAwEYEcAAAAMBGBHAAAADARi4L4G5ubtq2bZvWrFkjSerQoYNSUlK0e/dupaSkyM/Pz9o3Pj5e+fn52rVrl4YPH2719+nTRzk5OcrPz9ecOXPsHgIAAABwwVwWwGfMmKG8vDzrcXx8vFJTU9W9e3elpqYqPj5ekhQeHq7o6Gj17NlTkZGRmjt3rtzczpU9b948xcXFKSwsTGFhYYqMjHTJWAAAAIDGckkADwoK0t133623337b6ouKilJCQoIkKSEhQSNHjrT6V6xYoVOnTmnv3r0qKChQ3759FRAQoHbt2ik9PV2StHTpUusYAAAA4FLlkgD++uuv64knntDZs2etvs6dO6u0tFSSVFpaqk6dOkk6F9aLi4ut/ZxOp4KCghQUFCSn01mnHwDQtLzadpBX+47yatvB1aUAQIvgYfcJ7777bpWXl2vbtm0aMmTIj+7vcDjq9BljGuyvz6RJkxQXFydJ8vf3v8CKAeDKdv09E11dAgC0KLYH8AEDBui+++7TiBEj5O3trXbt2mnZsmUqKytTQECASktLFRAQoPLycknnrmyHhIRYxwcHB6ukpEROp1PBwcF1+uuzYMECLViwQJKUmZnZjKMDAAAAzs/2JShPP/20QkJCdO211yo6Olrr1q3Tb3/7WyUlJSkmJkaSFBMTo9WrV0uSkpKSFB0dLU9PT3Xt2lVhYWHKyMhQaWmpqqur1a9fP0nSuHHjrGMAAACAS5XtV8Ab8tJLLykxMVGxsbEqKirSqFGjJEm5ublKTExUbm6uampqNHXqVGvt+OTJk7VkyRL5+PgoOTlZycnJrhwCAAAA8KNcGsA3bNigDRs2SJIOHTqkYcOG1bvf7NmzNXv27Dr9X3zxhXr16tWsNQIAAABNiW/CBAAAAGxEAAcAAABsRAAHAAAAbEQABwAAAGxEAAcAAABsRAAHAAAAbEQABwAAAGxEAAcAAABsRAAHAAAAbEQABwAAAGxEAAcAAABsRAAHAAAAbEQABwAAAGxEAAcAAABsRAAHAAAAbEQABwAAAGxEAAcAAABsRAAHAAAAbEQABwAAAGxEAAcAAABsRAAHAAAAbEQABwAAAGxEAAcAAABs5OHqAgAAwOXnxhtvlLe3t06ePKmsrCxXlwNcVgjgVyj+4gQA/BTe3t7y9fV1dRnAZYkAfoXiL04AAADXYA04AAAAYCMCOAAAAGAjAjgAAABgIwI4AAAAYCMCOAAAAGAj7oLSCLtLqlxdQpP782NTVF66X127XaelH37s6nKaVPfA9q4uAQAAoEFcAQcAAABsRAAHAAAAbEQABwAAAGxEAAcAAABsRAAHAAAAbEQABwAAAGzEbQivUB39O9X6EwDQfCL/b5WrS2hyp7Yuk04clm/HwBY1vrV//JWrS8AVgAB+hZoR/6yrSwAAALgisQQFAAAAsBEBHAAAALARARwAAACwEQEcAAAAsBEBHAAAALARARwAAACwEQEcAAAAsBEBHAAAALARARwAAACwEQEcAAAAsJHtATw4OFjr1q1Tbm6uvvzyS02fPl2S1KFDB6WkpGj37t1KSUmRn5+fdUx8fLzy8/O1a9cuDR8+3Orv06ePcnJylJ+frzlz5tg9FAAAAOCC2R7Aa2pqNHPmTN1www3q37+/pk6dqvDwcMXHxys1NVXdu3dXamqq4uPjJUnh4eGKjo5Wz549FRkZqblz58rN7VzZ8+bNU1xcnMLCwhQWFqbIyEi7hwMAAABcENsDeGlpqbZv3y5JOnr0qPLy8hQUFKSoqCglJCRIkhISEjRy5EhJUlRUlFasWKFTp05p7969KigoUN++fRUQEKB27dopPT1dkrR06VLrGAAA0Lwc3m0lH79zfwK4IB6uPHloaKhuuukmff755+rcubNKS0slnQvpnTp1kiQFBQVZIVuSnE6ngoKCdPr0aTmdzjr9AACg+bW6aaSrSwAuWy4L4K1bt9YHH3yghx9+WNXV1Q3u53A46vQZYxrsr8+kSZMUFxcnSfL397/IigEAAICfziV3QfHw8NAHH3ygd999V6tWrZIklZWVKSAgQJIUEBCg8vJySeeubIeEhFjHBgcHq6SkRE6nU8HBwXX667NgwQJFREQoIiJCFRUVzTUsAAAA4Ee5JIAvXLhQeXl5eu2116y+pKQkxcTESJJiYmK0evVqqz86Olqenp7q2rWrwsLClJGRodLSUlVXV6tfv36SpHHjxlnHAAAAAJcq25egDBgwQOPGjVNOTo71Ycynn35aL730khITExUbG6uioiKNGjVKkpSbm6vExETl5uaqpqZGU6dO1dmzZyVJkydP1pIlS+Tj46Pk5GQlJyfbPRwAAADggtgewDdv3lzv+m1JGjZsWL39s2fP1uzZs+v0f/HFF+rVq1eT1gcAAAA0J5feBQUAAAAtR427b60/UT8COAAAAJpEWcfbXF3CZcElH8IEAAAArlQEcAAAAMBGBHAAAADARgRwAAAAwEYEcAAAAMBGBHAAAADARgRwAAAAwEYEcAAAAMBGBHAAAADARgRwAAAAwEYEcAAAAMBGBHAAAADARgRwAAAAwEYEcAAAAMBGBHAAAADARgRwAAAAwEYEcAAAAMBGBHAAAADARgRwAAAAwEYEcAAAAMBGBHAAAADARgRwAAAAwEYEcAAAAMBGBHAAAADARgRwAAAAwEYEcAAAAMBGBHAAAADARgRwAAAAwEYEcAAAAMBGBHAAAADARgRwAAAAwEYEcAAAAMBGBHAAAADARgRwAAAAwEYEcAAAAMBGBHAAAADARgRwAAAAwEYEcAAAAMBGBHAAAADARgRwAAAAwEYEcAAAAMBGBHAAAADARgRwAAAAwEYEcAAAAMBGBHAAAADARgRwAAAAwEYEcAAAAMBGBHAAAADARpd9AL/rrru0a9cu5efn68knn3R1OQAAAMB5XdYB3M3NTW+++aZ++ctf6oYbbtDo0aMVHh7u6rIAAACABl3WAbxv374qKChQYWGhTp8+rRUrVigqKsrVZQEAAAANuqwDeFBQkIqLi63HTqdTQUFBLqwIAAAAOD8PVxfwUzgcjjp9xpg6fZMmTVJcXJwkqUePHsrMzLyg81R9s/viCrzE+fv7q6KiwtVlNLkLfX8v2pmD9pzHZswL1Kclzov7mRM/WUucF8/fxbz4qVrivNDDFzcvQkND6+2/rAO40+lUSEiI9Tg4OFglJSV19luwYIEWLFhgZ2mXhczMTEVERLi6DFximBeoD/MC9WFeoD7Mix93WS9ByczMVFhYmLp27apWrVopOjpaSUlJri4LAAAAaNBlfQX8zJkzeuihh/Txxx/L3d1dixYtUm5urqvLAgAAABp0WQdwSUpOTlZycrKry7gsvfXWW64uAZcg5gXqw7xAfZgXqA/z4sc5JNX91CIAAACAZnFZrwEHAAAALjcE8BbEGKOXX37Zejxz5kzNmjXLhRXhUjFr1izNnDnT1WUAAC4T06ZNU25urpxOp954442Leg5/f3+lp6dr27ZtGjhwYBNXeHkjgLcgJ0+e1P/+7/+qY8eOri4FAIBGcXMjilyKpkyZohEjRuiZZ5656OcYOnSodu3apT59+mjTpk2NOuZKmQ9XxiivEDU1NXrrrbf0yCOP1NnWpUsXffrpp8rOztann35q3T998eLFmjNnjjZv3qw9e/bo/vvvt4557LHHlJGRoezsbD377LN2DQNN5Omnn9auXbv0ySefqEePHpKk3r17a+vWrcrOztaHH34oPz8/SdItt9yi7OxsbdmyRX/961+1Y8cOSZKPj49Wrlyp7OxsrVixQunp6br55pslSdHR0crJydGOHTv00ksvuWSMuDChoaHKy8vTkiVLlJ2drX/+85/y8fFRYWGh9Yv7zTffrLS0NEnn/uVk6dKlSk1N1e7du/W73/1OkjRkyBBt2LBBH374oXbu3Kl58+ZZX4zGvLh82DEf7rzzTm3ZskVffPGFEhMT1bp1a0lSYWGh/vSnP+mzzz7TqFGjXDB6nM+8efPUrVs3JSUlqUOHDlZ/Q1mivv7evXvrr3/9q0aMGKHt27fL29ub+fADhtYyWnV1tWnbtq0pLCw07dq1MzNnzjSzZs0ykkxSUpIZN26ckWQmTJhgVq1aZSSZxYsXm8TERONwOEx4eLjJz883ksydd95p/vGPfxhJxuFwmDVr1phBgwa5fIy0xrU+ffqYnJwc4+PjY9q2bWvy8/PNzJkzTXZ2thk8eLCRZJ577jnz2muvGUlmx44d5tZbbzWSzIsvvmh27NhhJJmZM2ea+fPnG0mmZ8+e5vTp0+bmm28211xzjdm3b5/x9/c37u7uJjU11URFRbl83LTzt9DQUGOMMbfddpuRZBYuXGhmzpxpCgsLTceOHY0kc/PNN5u0tDQjycyaNctkZWUZb29v07FjR1NUVGSuueYaM2TIEHPixAlz7bXXGjc3N5OSkmLuv/9+5sVl1pp7PnTs2NFs2LDB+Pr6GknmiSeeMH/605+MJFNYWGgef/xxl78GtIbbd/MgJibGvPHGG0ZqOEs01P/9Y5kPtRtXwFuY6upqLV26VNOnT6/Vf+utt2r58uWSpGXLltVai/Wvf/1Lxhjl5eWpc+fOkqThw4dr+PDh2r59u7Zt26brr79eYWFh9g0EP8mgQYO0atUqnThxQtXV1UpKSlLr1q3l5+enjRs3SpISEhI0ePBgtW/fXm3bttXWrVslyZonkjRw4ECtWLFCkrRz507l5ORIkiIiIrR+/XpVVFTozJkzevfddzV48GCbR4mLUVRUpC1btkiS3nnnnR9dl7l69WqdPHlSBw8eVFpamvr27StJysjIUGFhoc6ePav33ntPAwcOZF5chppzPvTv31833HCDNm/erO3btysmJqbW13KvXLmy+QaGZtFQljhfxvgO86G2y/4+4Kjr9ddf17Zt27R48eIG9zHGWD9/++231s/f/bOhw+HQiy++yL08L2Pff4/P57v3/EK2ne8YXNp+OC+MMaqpqbHWXXp7e//o/g31My8uP809Hz755BP95je/qffcx44d+0m1w/Ua+v9Mff3Mh9q4At4CVVZWKjExUbGxsVbfli1bFB0dLUkaM2bMj34Y4uOPP9bEiROt9VmBgYG6+uqrm69oNKmNGzfqV7/6lby9vdWmTRvde++9OnbsmCorK60rE7/97W+1YcMGHT58WNXV1erXr58kWfNEkjZt2qQHH3xQkhQeHq5evXpJkj7//HMNGTJEHTt2lJubm0aPHq0NGzbYPEpcjNDQUPXv31+SNHr0aG3atEl79+611vZ//3MgkhQVFSUvLy9dddVVuv3225WZmSlJ6tu3r7p27SqHw6Ff//rX2rRpE/PiMtSc8yE9PV0DBgzQddddJ+ncZ0r4l9TLW0NZojEZg/lQG1fAW6hXXnlFDz30kPV4+vTpWrRokR5//HEdOHBAEyZMOO/xn3zyicLDw61lCUePHtXYsWN14MCBZq0bTWP79u1auXKlsrKytG/fPn322WeSpJiYGM2fP1++vr76+uuvrXkQGxurBQsW6NixY1q/fr2qqqokSXPnzlVCQoKys7O1fft25eTkqKqqSqWlpXrqqaeUlpYmh8Oh//znP0pKSnLZeNF4ubm5iomJ0T/+8Q/l5+dr3rx5ysjI0MKFC1VWVqbPP/+81v4ZGRn697//rS5duuj555/X/v371b17d23dulUvvfSSevXqpY0bN2rVqlUyxjAvLjPNPR/Gjx+v9957T15eXpKkP/7xj8rPz3fFUNEEGsoSjckYFRUVzIcfcPlCdBqN5trWunVr6+cnn3zSvP7660aScXNzM15eXkaS6datmyksLDStWrVyeb20i2uhoaHWB2wb02bNmmVmzpxZp3/IkCFmzZo1Lh8PjflAo12ujSvgAHT33XfrqaeekoeHh/bt26fx48dLknx9fZWWlqZWrVrJ4XBo8uTJOn36tGuLBQDgMufQuSQOAAAAwAZ8CBMAAACwEQEcAAAAsBEBHAAAALARARwAWpCamhpt375dX375pbKysvTII4802RfkzJgxQz4+Pk3yXABwJeNDmADQglRXV6tt27aSpKuvvlrLly/X5s2b9eyzz/7k5y4sLNQtt9yigwcP/uTnAoArGVfAAaCFOnDggOLi4qwv5fLy8tKiRYuUk5Ojbdu26fbbb5d07hvpVq5cqezsbK1YsULp6enWNyF+Z9q0aQoMDFRaWprWrVuniRMn6tVXX7W2/+53v9Mrr7yi0NBQ5eXlacmSJcrOztY///lP66p5nz59tH79ev33v//V2rVrFRAQYM8LAQCXIJffjJxGo9FoTdOqq6vr9B06dMh06tTJPProo2bRokVGkunRo4fZt2+f8fLyMjNnzjTz5883kkzPnj3N6dOnzc0331zneQoLC03Hjh2NJOPr62sKCgqMh4eHkWQ2b95sfv7zn5vQ0FBjjDG33XabkWQWLlxoZs6caTw8PMzmzZuNv7+/kWQefPBBs3DhQpe/XjQajeaKxhfxAEAL990a8IEDB+qNN96QJH311Vfat2+funfvroEDB2rOnDmSpJ07dyonJ+dHn/P48eNat26d7rnnHuXl5alVq1b68ssvFRoaqqKiIm3ZskWS9M4772j69Olau3atfv7zn+uTTz6RJLm7u2v//v3NMVwAuOQRwAGgBbv22mt15swZlZeXN/hhzIv9kObbb7+tp59+Wrt27dLixYutfmNMrf2MMXI4HNq5c6duu+22izoXALQkrAEHgBbK399f8+fP19///ndJ0saNGzVmzBhJUlhYmLp06aKvvvpKmzZt0oMPPihJCg8PV69evep9vu9/wFOSMjIyFBISot/85jd67733rP7Q0FD1799fkjR69Ght2rRJX331la6++mqr38PDQzfccEPTDxoALgMEcABoQXx8fKzbEH766adKSUnRc889J0maO3eu3N3dlZOTo5UrV2r8+PE6deqU5s6dq6uvvlrZ2dl68sknlZOTo6qqqjrP/dZbbyk5OVnr1q2z+hITE7V582YdPnzY6svNzVVMTIyys7N11VVXad68eTp9+rQeeOAB/eUvf1FWVpaysrK4Gg7giubyheg0Go1Gc11zc3MzXl5eRpLp1q2bKSwsNK1atWrUsWvWrDF33HGH9Tg0NNTs2LHD5WOi0Wi0S7mxBhwArnC+vr5KS0tTq1at5HA4NHnyZJ0+ffq8x7Rv314ZGRnKzs6udUUcAPDj+CIeAAAAwEasAQcAAABsRAAHAAAAbEQABwAAAGxEAAcAAABsRAAHAAAAbEQABwAAAGz0/wAk5VipjFjvdgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "x = all_data_new[\"dog_type\"]\n",
    "y = all_data_new[\"retweet_count\"]\n",
    "fig, ax = plt.subplots(figsize=(12,6))\n",
    "g =sns.barplot(x,y, palette=\"Blues\",ax=ax)\n",
    "ax.set(xlabel=\"Dog type\",ylabel=\"Retweet\", title= \"Number of Rtweet each dog type \")\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "most pepole have the ability to retweet when they see doggo and puppo "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/eslam/anaconda3/lib/python3.8/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = all_data_new[\"dog_type\"]\n",
    "y = all_data_new[\"favorite_count\"]\n",
    "fig, ax = plt.subplots(figsize=(12,6))\n",
    "g =sns.barplot(x,y, palette=\"Blues\",ax=ax)\n",
    "ax.set(xlabel=\"Dog type\",ylabel=\"Favorite\", title= \"Number of favorite each dog type \")\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "most people interact with favourite when see doggo and puppo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}