12_Book Recommendation System.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# importing the necessary Python libraries and the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Raj Krishna Mondal\\anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3331: FutureWarning: The error_bad_lines argument has been deprecated and will be removed in a future version.\n",
      "\n",
      "\n",
      "  exec(code_obj, self.user_global_ns, self.user_ns)\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bookID</th>\n",
       "      <th>title</th>\n",
       "      <th>authors</th>\n",
       "      <th>average_rating</th>\n",
       "      <th>isbn</th>\n",
       "      <th>isbn13</th>\n",
       "      <th>language_code</th>\n",
       "      <th>num_pages</th>\n",
       "      <th>ratings_count</th>\n",
       "      <th>text_reviews_count</th>\n",
       "      <th>publication_date</th>\n",
       "      <th>publisher</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>34889</td>\n",
       "      <td>Brown's Star Atlas: Showing All The Bright Sta...</td>\n",
       "      <td>Brown</td>\n",
       "      <td>Son &amp; Ferguson</td>\n",
       "      <td>0</td>\n",
       "      <td>851742718</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>05-01-1977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>22128</td>\n",
       "      <td>Patriots (The Coming Collapse)</td>\n",
       "      <td>James Wesley</td>\n",
       "      <td>Rawles</td>\n",
       "      <td>3.63</td>\n",
       "      <td>156384155X</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>342</td>\n",
       "      <td>38</td>\n",
       "      <td>4</td>\n",
       "      <td>1/15/1999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>16914</td>\n",
       "      <td>The Tolkien Fan's Medieval Reader</td>\n",
       "      <td>David E. Smith (Turgon of TheOneRing.net</td>\n",
       "      <td>one of the founding members of this Tolkien w...</td>\n",
       "      <td>3.58</td>\n",
       "      <td>1593600119</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>400</td>\n",
       "      <td>26</td>\n",
       "      <td>4</td>\n",
       "      <td>04-06-2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>12224</td>\n",
       "      <td>Streetcar Suburbs: The Process of Growth in Bo...</td>\n",
       "      <td>Sam Bass Warner</td>\n",
       "      <td>Jr./Sam B. Warner</td>\n",
       "      <td>3.58</td>\n",
       "      <td>674842111</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>en-US</td>\n",
       "      <td>236</td>\n",
       "      <td>61</td>\n",
       "      <td>6</td>\n",
       "      <td>4/20/2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2034</td>\n",
       "      <td>Comoediae 1: Acharenses/Equites/Nubes/Vespae/P...</td>\n",
       "      <td>Aristophanes/F.W. Hall/W.M. Geldart</td>\n",
       "      <td>5</td>\n",
       "      <td>198145047</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>grc</td>\n",
       "      <td>364</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2/22/1922</td>\n",
       "      <td>Oxford University Press  USA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   bookID                                              title  \\\n",
       "0   34889  Brown's Star Atlas: Showing All The Bright Sta...   \n",
       "1   22128                     Patriots (The Coming Collapse)   \n",
       "2   16914                  The Tolkien Fan's Medieval Reader   \n",
       "3   12224  Streetcar Suburbs: The Process of Growth in Bo...   \n",
       "4    2034  Comoediae 1: Acharenses/Equites/Nubes/Vespae/P...   \n",
       "\n",
       "                                    authors  \\\n",
       "0                                     Brown   \n",
       "1                              James Wesley   \n",
       "2  David E. Smith (Turgon of TheOneRing.net   \n",
       "3                           Sam Bass Warner   \n",
       "4       Aristophanes/F.W. Hall/W.M. Geldart   \n",
       "\n",
       "                                      average_rating       isbn      isbn13  \\\n",
       "0                                     Son & Ferguson          0   851742718   \n",
       "1                                             Rawles       3.63  156384155X   \n",
       "2   one of the founding members of this Tolkien w...       3.58  1593600119   \n",
       "3                                  Jr./Sam B. Warner       3.58   674842111   \n",
       "4                                                  5  198145047    9.78E+12   \n",
       "\n",
       "  language_code num_pages  ratings_count  text_reviews_count publication_date  \\\n",
       "0      9.78E+12       eng             49                   0                0   \n",
       "1      9.78E+12       eng            342                  38                4   \n",
       "2      9.78E+12       eng            400                  26                4   \n",
       "3      9.78E+12     en-US            236                  61                6   \n",
       "4           grc       364              0                   0        2/22/1922   \n",
       "\n",
       "                      publisher  \n",
       "0                    05-01-1977  \n",
       "1                     1/15/1999  \n",
       "2                    04-06-2004  \n",
       "3                     4/20/2004  \n",
       "4  Oxford University Press  USA  "
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "df=pd.read_csv('books.csv', error_bad_lines=False)\n",
    "df=df.drop(['Unnamed: 12'], axis=1)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bookID                0\n",
       "title                 0\n",
       "authors               0\n",
       "average_rating        0\n",
       "isbn                  0\n",
       "isbn13                0\n",
       "language_code         0\n",
       "  num_pages           0\n",
       "ratings_count         0\n",
       "text_reviews_count    0\n",
       "publication_date      0\n",
       "publisher             0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 11127 entries, 0 to 11126\n",
      "Data columns (total 12 columns):\n",
      " #   Column              Non-Null Count  Dtype \n",
      "---  ------              --------------  ----- \n",
      " 0   bookID              11127 non-null  int64 \n",
      " 1   title               11127 non-null  object\n",
      " 2   authors             11127 non-null  object\n",
      " 3   average_rating      11127 non-null  object\n",
      " 4   isbn                11127 non-null  object\n",
      " 5   isbn13              11127 non-null  object\n",
      " 6   language_code       11127 non-null  object\n",
      " 7     num_pages         11127 non-null  object\n",
      " 8   ratings_count       11127 non-null  int64 \n",
      " 9   text_reviews_count  11127 non-null  int64 \n",
      " 10  publication_date    11127 non-null  object\n",
      " 11  publisher           11127 non-null  object\n",
      "dtypes: int64(3), object(9)\n",
      "memory usage: 1.0+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bookID</th>\n",
       "      <th>ratings_count</th>\n",
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       "      <th>count</th>\n",
       "      <td>11127.000000</td>\n",
       "      <td>1.112700e+04</td>\n",
       "      <td>11127.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>21310.938887</td>\n",
       "      <td>1.793649e+04</td>\n",
       "      <td>541.864474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>13093.358023</td>\n",
       "      <td>1.124794e+05</td>\n",
       "      <td>2576.174610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>10287.000000</td>\n",
       "      <td>1.040000e+02</td>\n",
       "      <td>9.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>20287.000000</td>\n",
       "      <td>7.450000e+02</td>\n",
       "      <td>47.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>32104.500000</td>\n",
       "      <td>4.993500e+03</td>\n",
       "      <td>237.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>45641.000000</td>\n",
       "      <td>4.597666e+06</td>\n",
       "      <td>94265.000000</td>\n",
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       "  </tbody>\n",
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      ],
      "text/plain": [
       "             bookID  ratings_count  text_reviews_count\n",
       "count  11127.000000   1.112700e+04        11127.000000\n",
       "mean   21310.938887   1.793649e+04          541.864474\n",
       "std    13093.358023   1.124794e+05         2576.174610\n",
       "min        1.000000   0.000000e+00            0.000000\n",
       "25%    10287.000000   1.040000e+02            9.000000\n",
       "50%    20287.000000   7.450000e+02           47.000000\n",
       "75%    32104.500000   4.993500e+03          237.500000\n",
       "max    45641.000000   4.597666e+06        94265.000000"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x220a78dc848>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_ten=df[df['ratings_count']>1000000]\n",
    "top_ten=top_ten.sort_values(by='ratings_count', ascending=False).head(10)\n",
    "top_ten_rating=top_ten.sort_values(by='average_rating', ascending=False)\n",
    "\n",
    "plt.style.use('seaborn-whitegrid')\n",
    "plt.figure(figsize=(20,20))\n",
    "sns.barplot(x=\"average_rating\", y=\"title\", data=top_ten_rating, palette='inferno')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>authors</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P.G. Wodehouse</th>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stephen King</th>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rumiko Takahashi</th>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Orson Scott Card</th>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Agatha Christie</th>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Piers Anthony</th>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mercedes Lackey</th>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sandra Brown</th>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dick Francis</th>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Margaret Weis/Tracy Hickman</th>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             title\n",
       "authors                           \n",
       "P.G. Wodehouse                  40\n",
       "Stephen King                    40\n",
       "Rumiko Takahashi                39\n",
       "Orson Scott Card                35\n",
       "Agatha Christie                 33\n",
       "Piers Anthony                   30\n",
       "Mercedes Lackey                 29\n",
       "Sandra Brown                    29\n",
       "Dick Francis                    28\n",
       "Margaret Weis/Tracy Hickman     23"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "book_aut=df.groupby('authors')['title'].count().reset_index().sort_values('title', ascending=False).head(10).set_index('authors')\n",
    "book_aut"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,15))\n",
    "ax=sns.barplot(book_aut['title'], book_aut.index, palette='inferno')\n",
    "ax.set_title(\"Top 10 authors  with most books\")\n",
    "ax.set_xlabel(\"Total number of books\")\n",
    "\n",
    "total=[]\n",
    "\n",
    "for i in ax.patches:\n",
    "    total.append(i.get_width())\n",
    "    \n",
    "totals=sum(total)\n",
    "\n",
    "for i in ax.patches:\n",
    "    ax.text(i.get_width()+.2, i.get_y()+.2, str(round(i.get_width())))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,15))\n",
    "\n",
    "ax=sns.barplot(most_rated['ratings_count'], most_rated.index, palette='inferno')\n",
    "ax.set_title(\"Top 10 books  with most rated\")\n",
    "\n",
    "\n",
    "total=[]\n",
    "\n",
    "for i in ax.patches:\n",
    "    total.append(i.get_width())\n",
    "    \n",
    "totals=sum(total)\n",
    "\n",
    "for i in ax.patches:\n",
    "    ax.text(i.get_width()+.2, i.get_y()+.2, str(round(i.get_width())))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "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>index</th>\n",
       "      <th>bookID</th>\n",
       "      <th>title</th>\n",
       "      <th>authors</th>\n",
       "      <th>average_rating</th>\n",
       "      <th>isbn</th>\n",
       "      <th>isbn13</th>\n",
       "      <th>language_code</th>\n",
       "      <th>num_pages</th>\n",
       "      <th>ratings_count</th>\n",
       "      <th>text_reviews_count</th>\n",
       "      <th>publication_date</th>\n",
       "      <th>publisher</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4242</td>\n",
       "      <td>15186</td>\n",
       "      <td>American Film Guide</td>\n",
       "      <td>Frank N. Magill</td>\n",
       "      <td>0</td>\n",
       "      <td>893562505</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>01-01-1983</td>\n",
       "      <td>Salem Press Inc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>375</td>\n",
       "      <td>1302</td>\n",
       "      <td>Juiced Official Strategy Guide</td>\n",
       "      <td>Doug Walsh</td>\n",
       "      <td>0</td>\n",
       "      <td>744005612</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>112</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>06-01-2005</td>\n",
       "      <td>BradyGames</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4678</td>\n",
       "      <td>16806</td>\n",
       "      <td>The Man and the Author: John Milton: Twentieth...</td>\n",
       "      <td>J. Martin Evans</td>\n",
       "      <td>0</td>\n",
       "      <td>415940478</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>386</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11-08-2002</td>\n",
       "      <td>Routledge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7637</td>\n",
       "      <td>29404</td>\n",
       "      <td>Your Child and Jesus: A Family Activity Book</td>\n",
       "      <td>Rick Osborne/Kevin Miller</td>\n",
       "      <td>0</td>\n",
       "      <td>080242855X</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>112</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9/13/1999</td>\n",
       "      <td>Moody Publishers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2533</td>\n",
       "      <td>9338</td>\n",
       "      <td>Insights: Talks On The Nature Of Existence</td>\n",
       "      <td>Frederick P. Lenz</td>\n",
       "      <td>0</td>\n",
       "      <td>1932206086</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>304</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>01-01-2003</td>\n",
       "      <td>Frederick P. Lenz Foundation for American Budd...</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11122</th>\n",
       "      <td>10266</td>\n",
       "      <td>41639</td>\n",
       "      <td>Bill Gates: Computer Legend (Famous Lives)</td>\n",
       "      <td>Sara Barton-Wood</td>\n",
       "      <td>5</td>\n",
       "      <td>739844326</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>48</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11-01-2001</td>\n",
       "      <td>Raintree</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11123</th>\n",
       "      <td>6778</td>\n",
       "      <td>25426</td>\n",
       "      <td>Delwau Duon: Peintiadau Nicholas Evans = Symph...</td>\n",
       "      <td>Nicholas    Evans/Rhonda  Evans</td>\n",
       "      <td>5</td>\n",
       "      <td>862431352</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>wel</td>\n",
       "      <td>150</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6/22/1987</td>\n",
       "      <td>Y Lolfa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11124</th>\n",
       "      <td>8547</td>\n",
       "      <td>32823</td>\n",
       "      <td>Fanning the Flame: Bible  Cross  and Mission</td>\n",
       "      <td>Chris    Green/Chris Wright/Paul Douglas Gardner</td>\n",
       "      <td>5</td>\n",
       "      <td>310249872</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>336</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6/17/2003</td>\n",
       "      <td>Zondervan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11125</th>\n",
       "      <td>9897</td>\n",
       "      <td>39829</td>\n",
       "      <td>His Princess Devotional: A Royal Encounter Wit...</td>\n",
       "      <td>Sheri Rose Shepherd</td>\n",
       "      <td>5</td>\n",
       "      <td>1590529626</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>240</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>10/16/2007</td>\n",
       "      <td>Multnomah</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11126</th>\n",
       "      <td>9724</td>\n",
       "      <td>38804</td>\n",
       "      <td>The Irish Anatomist: A Study of Flann O'Brien</td>\n",
       "      <td>Keith Donohue</td>\n",
       "      <td>5</td>\n",
       "      <td>1930901356</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>222</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7/25/2003</td>\n",
       "      <td>Academica Press</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11123 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       index  bookID                                              title  \\\n",
       "4       4242   15186                                American Film Guide   \n",
       "5        375    1302                     Juiced Official Strategy Guide   \n",
       "6       4678   16806  The Man and the Author: John Milton: Twentieth...   \n",
       "7       7637   29404       Your Child and Jesus: A Family Activity Book   \n",
       "8       2533    9338         Insights: Talks On The Nature Of Existence   \n",
       "...      ...     ...                                                ...   \n",
       "11122  10266   41639         Bill Gates: Computer Legend (Famous Lives)   \n",
       "11123   6778   25426  Delwau Duon: Peintiadau Nicholas Evans = Symph...   \n",
       "11124   8547   32823       Fanning the Flame: Bible  Cross  and Mission   \n",
       "11125   9897   39829  His Princess Devotional: A Royal Encounter Wit...   \n",
       "11126   9724   38804      The Irish Anatomist: A Study of Flann O'Brien   \n",
       "\n",
       "                                                authors average_rating  \\\n",
       "4                                       Frank N. Magill              0   \n",
       "5                                            Doug Walsh              0   \n",
       "6                                       J. Martin Evans              0   \n",
       "7                             Rick Osborne/Kevin Miller              0   \n",
       "8                                     Frederick P. Lenz              0   \n",
       "...                                                 ...            ...   \n",
       "11122                                  Sara Barton-Wood              5   \n",
       "11123                   Nicholas    Evans/Rhonda  Evans              5   \n",
       "11124  Chris    Green/Chris Wright/Paul Douglas Gardner              5   \n",
       "11125                               Sheri Rose Shepherd              5   \n",
       "11126                                     Keith Donohue              5   \n",
       "\n",
       "             isbn    isbn13 language_code   num_pages  ratings_count  \\\n",
       "4       893562505  9.78E+12           eng           5              0   \n",
       "5       744005612  9.78E+12           eng         112              0   \n",
       "6       415940478  9.78E+12           eng         386              0   \n",
       "7      080242855X  9.78E+12           eng         112              0   \n",
       "8      1932206086  9.78E+12           eng         304              0   \n",
       "...           ...       ...           ...         ...            ...   \n",
       "11122   739844326  9.78E+12           eng          48              0   \n",
       "11123   862431352  9.78E+12           wel         150              1   \n",
       "11124   310249872  9.78E+12           eng         336              1   \n",
       "11125  1590529626  9.78E+12           eng         240              2   \n",
       "11126  1930901356  9.78E+12           eng         222              1   \n",
       "\n",
       "       text_reviews_count publication_date  \\\n",
       "4                       0       01-01-1983   \n",
       "5                       0       06-01-2005   \n",
       "6                       0       11-08-2002   \n",
       "7                       0        9/13/1999   \n",
       "8                       0       01-01-2003   \n",
       "...                   ...              ...   \n",
       "11122                   0       11-01-2001   \n",
       "11123                   0        6/22/1987   \n",
       "11124                   1        6/17/2003   \n",
       "11125                   0       10/16/2007   \n",
       "11126                   0        7/25/2003   \n",
       "\n",
       "                                               publisher  \n",
       "4                                        Salem Press Inc  \n",
       "5                                             BradyGames  \n",
       "6                                              Routledge  \n",
       "7                                       Moody Publishers  \n",
       "8      Frederick P. Lenz Foundation for American Budd...  \n",
       "...                                                  ...  \n",
       "11122                                           Raintree  \n",
       "11123                                            Y Lolfa  \n",
       "11124                                          Zondervan  \n",
       "11125                                          Multnomah  \n",
       "11126                                    Academica Press  \n",
       "\n",
       "[11123 rows x 13 columns]"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=df.sort_values('average_rating').reset_index()\n",
    "df=df.iloc[4:]\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'average rating')"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.average_rating=df.average_rating.astype(float)\n",
    "fig, ax= plt.subplots(figsize=[15,10])\n",
    "\n",
    "sns.distplot(df['average_rating'], ax=ax)\n",
    "ax.set_title('Average rating distribution for all books')\n",
    "ax.set_xlabel('average rating')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "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>index</th>\n",
       "      <th>bookID</th>\n",
       "      <th>title</th>\n",
       "      <th>authors</th>\n",
       "      <th>average_rating</th>\n",
       "      <th>isbn</th>\n",
       "      <th>isbn13</th>\n",
       "      <th>language_code</th>\n",
       "      <th>num_pages</th>\n",
       "      <th>ratings_count</th>\n",
       "      <th>text_reviews_count</th>\n",
       "      <th>publication_date</th>\n",
       "      <th>publisher</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11077</th>\n",
       "      <td>9789</td>\n",
       "      <td>39201</td>\n",
       "      <td>Getting a Grip on the Basics: Building a Firm ...</td>\n",
       "      <td>Beth A. Jones</td>\n",
       "      <td>4.67</td>\n",
       "      <td>1577948262</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>124</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>05-01-2006</td>\n",
       "      <td>Harrison House</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11078</th>\n",
       "      <td>3510</td>\n",
       "      <td>12789</td>\n",
       "      <td>Falling Angels (Luc Actar #1)</td>\n",
       "      <td>Melissa M. Garcia</td>\n",
       "      <td>4.67</td>\n",
       "      <td>595377106</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>216</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2/14/2006</td>\n",
       "      <td>iUniverse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11079</th>\n",
       "      <td>7045</td>\n",
       "      <td>26805</td>\n",
       "      <td>The Sibley Field Guide to Birds of Western Nor...</td>\n",
       "      <td>David Allen Sibley</td>\n",
       "      <td>4.69</td>\n",
       "      <td>679451218</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>en-US</td>\n",
       "      <td>473</td>\n",
       "      <td>730</td>\n",
       "      <td>36</td>\n",
       "      <td>4/29/2003</td>\n",
       "      <td>Alfred A. Knopf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11080</th>\n",
       "      <td>6594</td>\n",
       "      <td>24818</td>\n",
       "      <td>The Days Are Just Packed</td>\n",
       "      <td>Bill Watterson</td>\n",
       "      <td>4.69</td>\n",
       "      <td>836217357</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>176</td>\n",
       "      <td>20308</td>\n",
       "      <td>244</td>\n",
       "      <td>09-01-1993</td>\n",
       "      <td>Andrews McMeel Publishing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11081</th>\n",
       "      <td>8365</td>\n",
       "      <td>32160</td>\n",
       "      <td>Cook's Illustrated 2003 (Cook's Illustrated An...</td>\n",
       "      <td>Cook's Illustrated Magazine</td>\n",
       "      <td>4.69</td>\n",
       "      <td>936184728</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>212</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>11/15/2003</td>\n",
       "      <td>Boston Common Press</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11082</th>\n",
       "      <td>8186</td>\n",
       "      <td>31401</td>\n",
       "      <td>A Wife After God's Own Heart Growth and Study ...</td>\n",
       "      <td>Elizabeth George</td>\n",
       "      <td>4.69</td>\n",
       "      <td>736911685</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>160</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>01-01-2004</td>\n",
       "      <td>Harvest House Publishers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11083</th>\n",
       "      <td>10941</td>\n",
       "      <td>44826</td>\n",
       "      <td>The Price of the Ticket: Collected Nonfiction ...</td>\n",
       "      <td>James Baldwin</td>\n",
       "      <td>4.70</td>\n",
       "      <td>312643063</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>712</td>\n",
       "      <td>404</td>\n",
       "      <td>30</td>\n",
       "      <td>9/15/1985</td>\n",
       "      <td>St. Martin's Press</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11084</th>\n",
       "      <td>306</td>\n",
       "      <td>955</td>\n",
       "      <td>The 5 Love Languages / The 5 Love Languages Jo...</td>\n",
       "      <td>Gary Chapman</td>\n",
       "      <td>4.70</td>\n",
       "      <td>802415318</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>4</td>\n",
       "      <td>01-01-2005</td>\n",
       "      <td>Moody Publishers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11085</th>\n",
       "      <td>6500</td>\n",
       "      <td>24520</td>\n",
       "      <td>The Complete Aubrey/Maturin Novels (5 Volumes)</td>\n",
       "      <td>Patrick O'Brian</td>\n",
       "      <td>4.70</td>\n",
       "      <td>039306011X</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>6576</td>\n",
       "      <td>1338</td>\n",
       "      <td>81</td>\n",
       "      <td>10/17/2004</td>\n",
       "      <td>W. W. Norton  Company</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11086</th>\n",
       "      <td>5616</td>\n",
       "      <td>20749</td>\n",
       "      <td>Study Bible: NIV</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>4.70</td>\n",
       "      <td>310929555</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>2198</td>\n",
       "      <td>4166</td>\n",
       "      <td>186</td>\n",
       "      <td>10-01-2002</td>\n",
       "      <td>Zondervan Publishing House</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11087</th>\n",
       "      <td>4812</td>\n",
       "      <td>17276</td>\n",
       "      <td>The Feynman Lectures on Physics Vols 3-4</td>\n",
       "      <td>Richard P. Feynman</td>\n",
       "      <td>4.71</td>\n",
       "      <td>738209252</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>en-US</td>\n",
       "      <td>0</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "      <td>05-12-2004</td>\n",
       "      <td>Basic Books</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11088</th>\n",
       "      <td>6596</td>\n",
       "      <td>24820</td>\n",
       "      <td>Calvin and Hobbes: Sunday Pages 1985-1995: An ...</td>\n",
       "      <td>Bill Watterson</td>\n",
       "      <td>4.71</td>\n",
       "      <td>740721356</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>96</td>\n",
       "      <td>3613</td>\n",
       "      <td>85</td>\n",
       "      <td>9/17/2001</td>\n",
       "      <td>Andrews McMeel Publishing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11089</th>\n",
       "      <td>9137</td>\n",
       "      <td>35561</td>\n",
       "      <td>The Beatles' Story on Capitol Records  Part Tw...</td>\n",
       "      <td>Bruce Spizer</td>\n",
       "      <td>4.72</td>\n",
       "      <td>966264924</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>264</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>01-01-2010</td>\n",
       "      <td>Four Ninety-Eight Productions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11090</th>\n",
       "      <td>6593</td>\n",
       "      <td>24816</td>\n",
       "      <td>Homicidal Psycho Jungle Cat (Calvin and Hobbes...</td>\n",
       "      <td>Bill Watterson</td>\n",
       "      <td>4.72</td>\n",
       "      <td>836217691</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>176</td>\n",
       "      <td>15365</td>\n",
       "      <td>290</td>\n",
       "      <td>09-06-1994</td>\n",
       "      <td>Andrews McMeel Publishing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11091</th>\n",
       "      <td>8933</td>\n",
       "      <td>34545</td>\n",
       "      <td>Elliott Erwitt: Snaps</td>\n",
       "      <td>Murray Sayle/Charles Flowers/Elliott Erwitt</td>\n",
       "      <td>4.72</td>\n",
       "      <td>071484330X</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>en-GB</td>\n",
       "      <td>544</td>\n",
       "      <td>102</td>\n",
       "      <td>6</td>\n",
       "      <td>06-01-2003</td>\n",
       "      <td>Phaidon Press</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11092</th>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>Harry Potter Collection (Harry Potter  #1-6)</td>\n",
       "      <td>J.K. Rowling</td>\n",
       "      <td>4.73</td>\n",
       "      <td>439827604</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>3342</td>\n",
       "      <td>28242</td>\n",
       "      <td>808</td>\n",
       "      <td>09-12-2005</td>\n",
       "      <td>Scholastic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11093</th>\n",
       "      <td>1848</td>\n",
       "      <td>6550</td>\n",
       "      <td>Early Color</td>\n",
       "      <td>Saul Leiter/Martin Harrison</td>\n",
       "      <td>4.73</td>\n",
       "      <td>3865211399</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>156</td>\n",
       "      <td>144</td>\n",
       "      <td>8</td>\n",
       "      <td>1/15/2006</td>\n",
       "      <td>Steidl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11094</th>\n",
       "      <td>4698</td>\n",
       "      <td>16898</td>\n",
       "      <td>True Harvest: Readings From Henry David Thorea...</td>\n",
       "      <td>Henry David Thoreau/Barry M. Andrews</td>\n",
       "      <td>4.75</td>\n",
       "      <td>1558964908</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>304</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>10-07-2005</td>\n",
       "      <td>Skinner House Books</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11095</th>\n",
       "      <td>5638</td>\n",
       "      <td>20913</td>\n",
       "      <td>The John Deere Two-Cylinder Tractor Encycloped...</td>\n",
       "      <td>Don Macmillan/Wayne G. Broehl Jr.</td>\n",
       "      <td>4.75</td>\n",
       "      <td>076032963X</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>256</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>5/15/2007</td>\n",
       "      <td>Voyageur Press</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11096</th>\n",
       "      <td>6592</td>\n",
       "      <td>24814</td>\n",
       "      <td>It's a Magical World (Calvin and Hobbes  #11)</td>\n",
       "      <td>Bill Watterson</td>\n",
       "      <td>4.76</td>\n",
       "      <td>836221362</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>176</td>\n",
       "      <td>23875</td>\n",
       "      <td>303</td>\n",
       "      <td>09-01-1996</td>\n",
       "      <td>Andrews McMeel Publishing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11097</th>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>Harry Potter Boxed Set  Books 1-5 (Harry Potte...</td>\n",
       "      <td>J.K. Rowling/Mary GrandPré</td>\n",
       "      <td>4.78</td>\n",
       "      <td>439682584</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>2690</td>\n",
       "      <td>41428</td>\n",
       "      <td>164</td>\n",
       "      <td>9/13/2004</td>\n",
       "      <td>Scholastic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11098</th>\n",
       "      <td>6976</td>\n",
       "      <td>26410</td>\n",
       "      <td>Wissenschaft der Logik: Die Lehre Vom Begriff ...</td>\n",
       "      <td>Georg Wilhelm Friedrich Hegel</td>\n",
       "      <td>4.78</td>\n",
       "      <td>3787307672</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>ger</td>\n",
       "      <td>337</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>01-01-1994</td>\n",
       "      <td>F. Meiner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11099</th>\n",
       "      <td>4813</td>\n",
       "      <td>17277</td>\n",
       "      <td>The Feynman Lectures on Physics Vols 7-8</td>\n",
       "      <td>Richard P. Feynman</td>\n",
       "      <td>4.80</td>\n",
       "      <td>738209279</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>en-US</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>01-03-2006</td>\n",
       "      <td>Basic Books</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11100</th>\n",
       "      <td>6590</td>\n",
       "      <td>24812</td>\n",
       "      <td>The Complete Calvin and Hobbes</td>\n",
       "      <td>Bill Watterson</td>\n",
       "      <td>4.82</td>\n",
       "      <td>740748475</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>1456</td>\n",
       "      <td>32213</td>\n",
       "      <td>930</td>\n",
       "      <td>09-06-2005</td>\n",
       "      <td>Andrews McMeel Publishing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11101</th>\n",
       "      <td>9816</td>\n",
       "      <td>39382</td>\n",
       "      <td>Corvette</td>\n",
       "      <td>Jerry Burton</td>\n",
       "      <td>4.83</td>\n",
       "      <td>883631210</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>320</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>10-01-2006</td>\n",
       "      <td>Universe Publishing(NY)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11102</th>\n",
       "      <td>5913</td>\n",
       "      <td>22235</td>\n",
       "      <td>Stargirl LitPlans on CD</td>\n",
       "      <td>Mary B. Collins</td>\n",
       "      <td>4.86</td>\n",
       "      <td>158337292X</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>210</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>9/15/2005</td>\n",
       "      <td>Teacher's Pet Publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11103</th>\n",
       "      <td>9434</td>\n",
       "      <td>37424</td>\n",
       "      <td>Little Big Book for God's Children</td>\n",
       "      <td>Alice Wong/Lena Tabori</td>\n",
       "      <td>4.88</td>\n",
       "      <td>094180755X</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>en-US</td>\n",
       "      <td>352</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>09-01-2001</td>\n",
       "      <td>Welcome Books</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11104</th>\n",
       "      <td>4374</td>\n",
       "      <td>15705</td>\n",
       "      <td>Existential Meditation</td>\n",
       "      <td>Simon Cleveland</td>\n",
       "      <td>4.91</td>\n",
       "      <td>1411665309</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>100</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>12/22/2005</td>\n",
       "      <td>Lulu.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11105</th>\n",
       "      <td>5476</td>\n",
       "      <td>19786</td>\n",
       "      <td>The Goon Show  Volume 4: My Knees Have Fallen ...</td>\n",
       "      <td>NOT A BOOK</td>\n",
       "      <td>5.00</td>\n",
       "      <td>563388692</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>04-01-1996</td>\n",
       "      <td>BBC Physical Audio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11106</th>\n",
       "      <td>6250</td>\n",
       "      <td>23552</td>\n",
       "      <td>The New Big Book of America</td>\n",
       "      <td>Todd Davis/Marc Frey</td>\n",
       "      <td>5.00</td>\n",
       "      <td>762412631</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>56</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3/21/2002</td>\n",
       "      <td>Courage Books</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11107</th>\n",
       "      <td>9328</td>\n",
       "      <td>36853</td>\n",
       "      <td>Tyrannosaurus Wrecks (Stanley  #1)</td>\n",
       "      <td>Laura Driscoll/Alisa Klayman-Grodsky/Eric     ...</td>\n",
       "      <td>5.00</td>\n",
       "      <td>786845031</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>24</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>02-01-2003</td>\n",
       "      <td>Disney Press</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11108</th>\n",
       "      <td>6187</td>\n",
       "      <td>23276</td>\n",
       "      <td>Taxation of Mineral Rents</td>\n",
       "      <td>Ross Garnaut</td>\n",
       "      <td>5.00</td>\n",
       "      <td>198284543</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>350</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11/17/1983</td>\n",
       "      <td>Oxford University Press  USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11109</th>\n",
       "      <td>4935</td>\n",
       "      <td>17830</td>\n",
       "      <td>Bulgakov's the Master and Margarita: The Text ...</td>\n",
       "      <td>Elena N. Mahlow</td>\n",
       "      <td>5.00</td>\n",
       "      <td>533017424</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>202</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>01-01-1975</td>\n",
       "      <td>Vantage Press</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11110</th>\n",
       "      <td>9851</td>\n",
       "      <td>39580</td>\n",
       "      <td>The American Campaign: U.S. Presidential Campa...</td>\n",
       "      <td>James E. Campbell</td>\n",
       "      <td>5.00</td>\n",
       "      <td>089096940X</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>314</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>05-01-2000</td>\n",
       "      <td>Texas A&amp;M University Press</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11111</th>\n",
       "      <td>1243</td>\n",
       "      <td>4287</td>\n",
       "      <td>Middlesex Borough (Images of America: New Jersey)</td>\n",
       "      <td>Middlesex Borough Heritage Committee</td>\n",
       "      <td>5.00</td>\n",
       "      <td>738511676</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>128</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3/17/2003</td>\n",
       "      <td>Arcadia Publishing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11112</th>\n",
       "      <td>9286</td>\n",
       "      <td>36492</td>\n",
       "      <td>Oliver Wendell Holmes in Paris: Medicine  Theo...</td>\n",
       "      <td>William C. Dowling</td>\n",
       "      <td>5.00</td>\n",
       "      <td>1584655801</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>179</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2/28/2007</td>\n",
       "      <td>University Press of New England</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11113</th>\n",
       "      <td>4790</td>\n",
       "      <td>17224</td>\n",
       "      <td>The Diamond Color Meditation: Color Pathway to...</td>\n",
       "      <td>John  Diamond</td>\n",
       "      <td>5.00</td>\n",
       "      <td>1890995525</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>74</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>02-01-2006</td>\n",
       "      <td>Square One Publishers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11114</th>\n",
       "      <td>5649</td>\n",
       "      <td>20954</td>\n",
       "      <td>Winchester Shotguns</td>\n",
       "      <td>Dennis Adler/R.L. Wilson</td>\n",
       "      <td>5.00</td>\n",
       "      <td>785821082</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>372</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>5/15/2008</td>\n",
       "      <td>Chartwell Books</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11115</th>\n",
       "      <td>5650</td>\n",
       "      <td>20957</td>\n",
       "      <td>Colossians and Philemon: A Critical and Exeget...</td>\n",
       "      <td>R. McL. Wilson</td>\n",
       "      <td>5.00</td>\n",
       "      <td>567044718</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>512</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>12-07-2005</td>\n",
       "      <td>T&amp;T Clark Int'l</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11116</th>\n",
       "      <td>5025</td>\n",
       "      <td>18184</td>\n",
       "      <td>The Complete Theory Fun Factory: Music Theory ...</td>\n",
       "      <td>Ian        Martin/Katie Elliott</td>\n",
       "      <td>5.00</td>\n",
       "      <td>851621813</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>96</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>06-01-2004</td>\n",
       "      <td>Boosey &amp; Hawkes Inc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11117</th>\n",
       "      <td>5478</td>\n",
       "      <td>19788</td>\n",
       "      <td>The Goon Show  Volume 11: He's Fallen in the W...</td>\n",
       "      <td>NOT A BOOK</td>\n",
       "      <td>5.00</td>\n",
       "      <td>563388323</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>10-02-1995</td>\n",
       "      <td>BBC Physical Audio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11118</th>\n",
       "      <td>4126</td>\n",
       "      <td>14741</td>\n",
       "      <td>Zone of the Enders: The 2nd Runner Official St...</td>\n",
       "      <td>Tim Bogenn</td>\n",
       "      <td>5.00</td>\n",
       "      <td>744002354</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>128</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>03-06-2003</td>\n",
       "      <td>BradyGames</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11119</th>\n",
       "      <td>855</td>\n",
       "      <td>2843</td>\n",
       "      <td>Literature Circle Guide: Bridge to Terabithia:...</td>\n",
       "      <td>Tara MacCarthy</td>\n",
       "      <td>5.00</td>\n",
       "      <td>439271711</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>32</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>01-01-2002</td>\n",
       "      <td>Teaching Resources</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11120</th>\n",
       "      <td>786</td>\n",
       "      <td>2560</td>\n",
       "      <td>Willem de Kooning: Late Paintings</td>\n",
       "      <td>Julie Sylvester/David Sylvester</td>\n",
       "      <td>5.00</td>\n",
       "      <td>382960226X</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>83</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>09-01-2006</td>\n",
       "      <td>Schirmer Mosel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11121</th>\n",
       "      <td>624</td>\n",
       "      <td>2034</td>\n",
       "      <td>Comoediae 1: Acharenses/Equites/Nubes/Vespae/P...</td>\n",
       "      <td>Aristophanes/F.W. Hall/W.M. Geldart</td>\n",
       "      <td>5.00</td>\n",
       "      <td>198145047</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>grc</td>\n",
       "      <td>364</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2/22/1922</td>\n",
       "      <td>Oxford University Press  USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11122</th>\n",
       "      <td>10266</td>\n",
       "      <td>41639</td>\n",
       "      <td>Bill Gates: Computer Legend (Famous Lives)</td>\n",
       "      <td>Sara Barton-Wood</td>\n",
       "      <td>5.00</td>\n",
       "      <td>739844326</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>48</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11-01-2001</td>\n",
       "      <td>Raintree</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11123</th>\n",
       "      <td>6778</td>\n",
       "      <td>25426</td>\n",
       "      <td>Delwau Duon: Peintiadau Nicholas Evans = Symph...</td>\n",
       "      <td>Nicholas    Evans/Rhonda  Evans</td>\n",
       "      <td>5.00</td>\n",
       "      <td>862431352</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>wel</td>\n",
       "      <td>150</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6/22/1987</td>\n",
       "      <td>Y Lolfa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11124</th>\n",
       "      <td>8547</td>\n",
       "      <td>32823</td>\n",
       "      <td>Fanning the Flame: Bible  Cross  and Mission</td>\n",
       "      <td>Chris    Green/Chris Wright/Paul Douglas Gardner</td>\n",
       "      <td>5.00</td>\n",
       "      <td>310249872</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>336</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6/17/2003</td>\n",
       "      <td>Zondervan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11125</th>\n",
       "      <td>9897</td>\n",
       "      <td>39829</td>\n",
       "      <td>His Princess Devotional: A Royal Encounter Wit...</td>\n",
       "      <td>Sheri Rose Shepherd</td>\n",
       "      <td>5.00</td>\n",
       "      <td>1590529626</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>240</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>10/16/2007</td>\n",
       "      <td>Multnomah</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11126</th>\n",
       "      <td>9724</td>\n",
       "      <td>38804</td>\n",
       "      <td>The Irish Anatomist: A Study of Flann O'Brien</td>\n",
       "      <td>Keith Donohue</td>\n",
       "      <td>5.00</td>\n",
       "      <td>1930901356</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>222</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7/25/2003</td>\n",
       "      <td>Academica Press</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       index  bookID                                              title  \\\n",
       "11077   9789   39201  Getting a Grip on the Basics: Building a Firm ...   \n",
       "11078   3510   12789                      Falling Angels (Luc Actar #1)   \n",
       "11079   7045   26805  The Sibley Field Guide to Birds of Western Nor...   \n",
       "11080   6594   24818                           The Days Are Just Packed   \n",
       "11081   8365   32160  Cook's Illustrated 2003 (Cook's Illustrated An...   \n",
       "11082   8186   31401  A Wife After God's Own Heart Growth and Study ...   \n",
       "11083  10941   44826  The Price of the Ticket: Collected Nonfiction ...   \n",
       "11084    306     955  The 5 Love Languages / The 5 Love Languages Jo...   \n",
       "11085   6500   24520     The Complete Aubrey/Maturin Novels (5 Volumes)   \n",
       "11086   5616   20749                                   Study Bible: NIV   \n",
       "11087   4812   17276           The Feynman Lectures on Physics Vols 3-4   \n",
       "11088   6596   24820  Calvin and Hobbes: Sunday Pages 1985-1995: An ...   \n",
       "11089   9137   35561  The Beatles' Story on Capitol Records  Part Tw...   \n",
       "11090   6593   24816  Homicidal Psycho Jungle Cat (Calvin and Hobbes...   \n",
       "11091   8933   34545                              Elliott Erwitt: Snaps   \n",
       "11092      6      10       Harry Potter Collection (Harry Potter  #1-6)   \n",
       "11093   1848    6550                                        Early Color   \n",
       "11094   4698   16898  True Harvest: Readings From Henry David Thorea...   \n",
       "11095   5638   20913  The John Deere Two-Cylinder Tractor Encycloped...   \n",
       "11096   6592   24814      It's a Magical World (Calvin and Hobbes  #11)   \n",
       "11097      4       8  Harry Potter Boxed Set  Books 1-5 (Harry Potte...   \n",
       "11098   6976   26410  Wissenschaft der Logik: Die Lehre Vom Begriff ...   \n",
       "11099   4813   17277           The Feynman Lectures on Physics Vols 7-8   \n",
       "11100   6590   24812                     The Complete Calvin and Hobbes   \n",
       "11101   9816   39382                                           Corvette   \n",
       "11102   5913   22235                            Stargirl LitPlans on CD   \n",
       "11103   9434   37424                 Little Big Book for God's Children   \n",
       "11104   4374   15705                             Existential Meditation   \n",
       "11105   5476   19786  The Goon Show  Volume 4: My Knees Have Fallen ...   \n",
       "11106   6250   23552                        The New Big Book of America   \n",
       "11107   9328   36853                 Tyrannosaurus Wrecks (Stanley  #1)   \n",
       "11108   6187   23276                          Taxation of Mineral Rents   \n",
       "11109   4935   17830  Bulgakov's the Master and Margarita: The Text ...   \n",
       "11110   9851   39580  The American Campaign: U.S. Presidential Campa...   \n",
       "11111   1243    4287  Middlesex Borough (Images of America: New Jersey)   \n",
       "11112   9286   36492  Oliver Wendell Holmes in Paris: Medicine  Theo...   \n",
       "11113   4790   17224  The Diamond Color Meditation: Color Pathway to...   \n",
       "11114   5649   20954                                Winchester Shotguns   \n",
       "11115   5650   20957  Colossians and Philemon: A Critical and Exeget...   \n",
       "11116   5025   18184  The Complete Theory Fun Factory: Music Theory ...   \n",
       "11117   5478   19788  The Goon Show  Volume 11: He's Fallen in the W...   \n",
       "11118   4126   14741  Zone of the Enders: The 2nd Runner Official St...   \n",
       "11119    855    2843  Literature Circle Guide: Bridge to Terabithia:...   \n",
       "11120    786    2560                  Willem de Kooning: Late Paintings   \n",
       "11121    624    2034  Comoediae 1: Acharenses/Equites/Nubes/Vespae/P...   \n",
       "11122  10266   41639         Bill Gates: Computer Legend (Famous Lives)   \n",
       "11123   6778   25426  Delwau Duon: Peintiadau Nicholas Evans = Symph...   \n",
       "11124   8547   32823       Fanning the Flame: Bible  Cross  and Mission   \n",
       "11125   9897   39829  His Princess Devotional: A Royal Encounter Wit...   \n",
       "11126   9724   38804      The Irish Anatomist: A Study of Flann O'Brien   \n",
       "\n",
       "                                                 authors  average_rating  \\\n",
       "11077                                      Beth A. Jones            4.67   \n",
       "11078                                  Melissa M. Garcia            4.67   \n",
       "11079                                 David Allen Sibley            4.69   \n",
       "11080                                     Bill Watterson            4.69   \n",
       "11081                        Cook's Illustrated Magazine            4.69   \n",
       "11082                                   Elizabeth George            4.69   \n",
       "11083                                      James Baldwin            4.70   \n",
       "11084                                       Gary Chapman            4.70   \n",
       "11085                                    Patrick O'Brian            4.70   \n",
       "11086                                          Anonymous            4.70   \n",
       "11087                                 Richard P. Feynman            4.71   \n",
       "11088                                     Bill Watterson            4.71   \n",
       "11089                                       Bruce Spizer            4.72   \n",
       "11090                                     Bill Watterson            4.72   \n",
       "11091        Murray Sayle/Charles Flowers/Elliott Erwitt            4.72   \n",
       "11092                                       J.K. Rowling            4.73   \n",
       "11093                        Saul Leiter/Martin Harrison            4.73   \n",
       "11094               Henry David Thoreau/Barry M. Andrews            4.75   \n",
       "11095                  Don Macmillan/Wayne G. Broehl Jr.            4.75   \n",
       "11096                                     Bill Watterson            4.76   \n",
       "11097                         J.K. Rowling/Mary GrandPré            4.78   \n",
       "11098                      Georg Wilhelm Friedrich Hegel            4.78   \n",
       "11099                                 Richard P. Feynman            4.80   \n",
       "11100                                     Bill Watterson            4.82   \n",
       "11101                                       Jerry Burton            4.83   \n",
       "11102                                    Mary B. Collins            4.86   \n",
       "11103                             Alice Wong/Lena Tabori            4.88   \n",
       "11104                                    Simon Cleveland            4.91   \n",
       "11105                                         NOT A BOOK            5.00   \n",
       "11106                               Todd Davis/Marc Frey            5.00   \n",
       "11107  Laura Driscoll/Alisa Klayman-Grodsky/Eric     ...            5.00   \n",
       "11108                                       Ross Garnaut            5.00   \n",
       "11109                                    Elena N. Mahlow            5.00   \n",
       "11110                                  James E. Campbell            5.00   \n",
       "11111               Middlesex Borough Heritage Committee            5.00   \n",
       "11112                                 William C. Dowling            5.00   \n",
       "11113                                      John  Diamond            5.00   \n",
       "11114                           Dennis Adler/R.L. Wilson            5.00   \n",
       "11115                                     R. McL. Wilson            5.00   \n",
       "11116                    Ian        Martin/Katie Elliott            5.00   \n",
       "11117                                         NOT A BOOK            5.00   \n",
       "11118                                         Tim Bogenn            5.00   \n",
       "11119                                     Tara MacCarthy            5.00   \n",
       "11120                    Julie Sylvester/David Sylvester            5.00   \n",
       "11121                Aristophanes/F.W. Hall/W.M. Geldart            5.00   \n",
       "11122                                   Sara Barton-Wood            5.00   \n",
       "11123                    Nicholas    Evans/Rhonda  Evans            5.00   \n",
       "11124   Chris    Green/Chris Wright/Paul Douglas Gardner            5.00   \n",
       "11125                                Sheri Rose Shepherd            5.00   \n",
       "11126                                      Keith Donohue            5.00   \n",
       "\n",
       "             isbn    isbn13 language_code   num_pages  ratings_count  \\\n",
       "11077  1577948262  9.78E+12           eng         124              9   \n",
       "11078   595377106  9.78E+12           eng         216              1   \n",
       "11079   679451218  9.78E+12         en-US         473            730   \n",
       "11080   836217357  9.78E+12           eng         176          20308   \n",
       "11081   936184728  9.78E+12           eng         212             26   \n",
       "11082   736911685  9.78E+12           eng         160              9   \n",
       "11083   312643063  9.78E+12           eng         712            404   \n",
       "11084   802415318  9.78E+12           eng           0             22   \n",
       "11085  039306011X  9.78E+12           eng        6576           1338   \n",
       "11086   310929555  9.78E+12           eng        2198           4166   \n",
       "11087   738209252  9.78E+12         en-US           0             21   \n",
       "11088   740721356  9.78E+12           eng          96           3613   \n",
       "11089   966264924  9.78E+12           eng         264             29   \n",
       "11090   836217691  9.78E+12           eng         176          15365   \n",
       "11091  071484330X  9.78E+12         en-GB         544            102   \n",
       "11092   439827604  9.78E+12           eng        3342          28242   \n",
       "11093  3865211399  9.78E+12           eng         156            144   \n",
       "11094  1558964908  9.78E+12           eng         304              8   \n",
       "11095  076032963X  9.78E+12           eng         256              4   \n",
       "11096   836221362  9.78E+12           eng         176          23875   \n",
       "11097   439682584  9.78E+12           eng        2690          41428   \n",
       "11098  3787307672  9.78E+12           ger         337              0   \n",
       "11099   738209279  9.78E+12         en-US           0             20   \n",
       "11100   740748475  9.78E+12           eng        1456          32213   \n",
       "11101   883631210  9.78E+12           eng         320              6   \n",
       "11102  158337292X  9.78E+12           eng         210              5   \n",
       "11103  094180755X  9.78E+12         en-US         352              8   \n",
       "11104  1411665309  9.78E+12           eng         100             11   \n",
       "11105   563388692  9.78E+12           eng           2              3   \n",
       "11106   762412631  9.78E+12           eng          56              2   \n",
       "11107   786845031  9.78E+12           eng          24              2   \n",
       "11108   198284543  9.78E+12           eng         350              1   \n",
       "11109   533017424  9.78E+12           eng         202              4   \n",
       "11110  089096940X  9.78E+12           eng         314              0   \n",
       "11111   738511676  9.78E+12           eng         128              2   \n",
       "11112  1584655801  9.78E+12           eng         179              1   \n",
       "11113  1890995525  9.78E+12           eng          74              5   \n",
       "11114   785821082  9.78E+12           eng         372              2   \n",
       "11115   567044718  9.78E+12           eng         512              1   \n",
       "11116   851621813  9.78E+12           eng          96              1   \n",
       "11117   563388323  9.78E+12           eng           2              2   \n",
       "11118   744002354  9.78E+12           eng         128              2   \n",
       "11119   439271711  9.78E+12           eng          32              4   \n",
       "11120  382960226X  9.78E+12           eng          83              1   \n",
       "11121   198145047  9.78E+12           grc         364              0   \n",
       "11122   739844326  9.78E+12           eng          48              0   \n",
       "11123   862431352  9.78E+12           wel         150              1   \n",
       "11124   310249872  9.78E+12           eng         336              1   \n",
       "11125  1590529626  9.78E+12           eng         240              2   \n",
       "11126  1930901356  9.78E+12           eng         222              1   \n",
       "\n",
       "       text_reviews_count publication_date                        publisher  \n",
       "11077                   0       05-01-2006                   Harrison House  \n",
       "11078                   0        2/14/2006                        iUniverse  \n",
       "11079                  36        4/29/2003                  Alfred A. Knopf  \n",
       "11080                 244       09-01-1993        Andrews McMeel Publishing  \n",
       "11081                   0       11/15/2003              Boston Common Press  \n",
       "11082                   1       01-01-2004         Harvest House Publishers  \n",
       "11083                  30        9/15/1985               St. Martin's Press  \n",
       "11084                   4       01-01-2005                 Moody Publishers  \n",
       "11085                  81       10/17/2004            W. W. Norton  Company  \n",
       "11086                 186       10-01-2002       Zondervan Publishing House  \n",
       "11087                   0       05-12-2004                      Basic Books  \n",
       "11088                  85        9/17/2001        Andrews McMeel Publishing  \n",
       "11089                   0       01-01-2010    Four Ninety-Eight Productions  \n",
       "11090                 290       09-06-1994        Andrews McMeel Publishing  \n",
       "11091                   6       06-01-2003                    Phaidon Press  \n",
       "11092                 808       09-12-2005                       Scholastic  \n",
       "11093                   8        1/15/2006                           Steidl  \n",
       "11094                   2       10-07-2005              Skinner House Books  \n",
       "11095                   0        5/15/2007                   Voyageur Press  \n",
       "11096                 303       09-01-1996        Andrews McMeel Publishing  \n",
       "11097                 164        9/13/2004                       Scholastic  \n",
       "11098                   0       01-01-1994                        F. Meiner  \n",
       "11099                   0       01-03-2006                      Basic Books  \n",
       "11100                 930       09-06-2005        Andrews McMeel Publishing  \n",
       "11101                   1       10-01-2006          Universe Publishing(NY)  \n",
       "11102                   0        9/15/2005       Teacher's Pet Publications  \n",
       "11103                   0       09-01-2001                    Welcome Books  \n",
       "11104                   3       12/22/2005                         Lulu.com  \n",
       "11105                   0       04-01-1996               BBC Physical Audio  \n",
       "11106                   1        3/21/2002                    Courage Books  \n",
       "11107                   1       02-01-2003                     Disney Press  \n",
       "11108                   0       11/17/1983     Oxford University Press  USA  \n",
       "11109                   0       01-01-1975                    Vantage Press  \n",
       "11110                   0       05-01-2000       Texas A&M University Press  \n",
       "11111                   0        3/17/2003               Arcadia Publishing  \n",
       "11112                   1        2/28/2007  University Press of New England  \n",
       "11113                   3       02-01-2006            Square One Publishers  \n",
       "11114                   0        5/15/2008                  Chartwell Books  \n",
       "11115                   0       12-07-2005                  T&T Clark Int'l  \n",
       "11116                   0       06-01-2004              Boosey & Hawkes Inc  \n",
       "11117                   0       10-02-1995               BBC Physical Audio  \n",
       "11118                   0       03-06-2003                       BradyGames  \n",
       "11119                   1       01-01-2002               Teaching Resources  \n",
       "11120                   0       09-01-2006                   Schirmer Mosel  \n",
       "11121                   0        2/22/1922     Oxford University Press  USA  \n",
       "11122                   0       11-01-2001                         Raintree  \n",
       "11123                   0        6/22/1987                          Y Lolfa  \n",
       "11124                   1        6/17/2003                        Zondervan  \n",
       "11125                   0       10/16/2007                        Multnomah  \n",
       "11126                   0        7/25/2003                  Academica Press  "
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x27a67fe18c8>"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1440x1440 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,20))\n",
    "ax=sns.relplot(data=df, x=\"average_rating\", y=\"ratings_count\",sizes=(400,200), height=7)\n",
    "plt.title('Relation between Rating counts and avg rating')\n",
    "ax.set_axis_labels(\"average_rating\", \"ratings_count\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 11127 entries, 0 to 11126\n",
      "Data columns (total 12 columns):\n",
      " #   Column              Non-Null Count  Dtype \n",
      "---  ------              --------------  ----- \n",
      " 0   bookID              11127 non-null  int64 \n",
      " 1   title               11127 non-null  object\n",
      " 2   authors             11127 non-null  object\n",
      " 3   average_rating      11127 non-null  object\n",
      " 4   isbn                11127 non-null  object\n",
      " 5   isbn13              11127 non-null  object\n",
      " 6   language_code       11127 non-null  object\n",
      " 7   num_pages           11127 non-null  object\n",
      " 8   ratings_count       11127 non-null  int64 \n",
      " 9   text_reviews_count  11127 non-null  int64 \n",
      " 10  publication_date    11127 non-null  object\n",
      " 11  publisher           11127 non-null  object\n",
      "dtypes: int64(3), object(9)\n",
      "memory usage: 1.0+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>bookID</th>\n",
       "      <th>title</th>\n",
       "      <th>authors</th>\n",
       "      <th>average_rating</th>\n",
       "      <th>isbn</th>\n",
       "      <th>isbn13</th>\n",
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       "      <th>num_pages</th>\n",
       "      <th>ratings_count</th>\n",
       "      <th>text_reviews_count</th>\n",
       "      <th>publication_date</th>\n",
       "      <th>publisher</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6490</td>\n",
       "      <td>11511</td>\n",
       "      <td>L'Échiquier du mal</td>\n",
       "      <td>Dan Simmons</td>\n",
       "      <td>3.9</td>\n",
       "      <td>2207254410</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>fre</td>\n",
       "      <td>999</td>\n",
       "      <td>63</td>\n",
       "      <td>7</td>\n",
       "      <td>06-08-2003</td>\n",
       "      <td>Denoël</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>10466</td>\n",
       "      <td>27847</td>\n",
       "      <td>Data Structures and Abstractions with Java</td>\n",
       "      <td>Frank M. Carrano/Walter J. Savitch</td>\n",
       "      <td>3.47</td>\n",
       "      <td>013237045X</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>998</td>\n",
       "      <td>34</td>\n",
       "      <td>3</td>\n",
       "      <td>08-04-2006</td>\n",
       "      <td>Prentice Hall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>5073</td>\n",
       "      <td>28898</td>\n",
       "      <td>Fundamentals of Heat and Mass Transfer [with I...</td>\n",
       "      <td>Frank P. Incropera/David P. DeWitt</td>\n",
       "      <td>3.99</td>\n",
       "      <td>470055545</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>en-US</td>\n",
       "      <td>997</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>10/30/2006</td>\n",
       "      <td>Wiley</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4499</td>\n",
       "      <td>16619</td>\n",
       "      <td>Democracy in America</td>\n",
       "      <td>Alexis de Tocqueville/Isaac Kramnick/Gerald Bevan</td>\n",
       "      <td>4.02</td>\n",
       "      <td>140447601</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>992</td>\n",
       "      <td>18925</td>\n",
       "      <td>523</td>\n",
       "      <td>4/24/2003</td>\n",
       "      <td>Penguin Classics</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>7256</td>\n",
       "      <td>11525</td>\n",
       "      <td>1 000 Places to See Before You Die</td>\n",
       "      <td>Patricia Schultz</td>\n",
       "      <td>3.85</td>\n",
       "      <td>761104844</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>992</td>\n",
       "      <td>36303</td>\n",
       "      <td>439</td>\n",
       "      <td>5/22/2003</td>\n",
       "      <td>Workman Publishing Company</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>837</td>\n",
       "      <td>28389</td>\n",
       "      <td>Marcel Proust: A Life</td>\n",
       "      <td>William C. Carter</td>\n",
       "      <td>4.33</td>\n",
       "      <td>300094000</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>992</td>\n",
       "      <td>14</td>\n",
       "      <td>4</td>\n",
       "      <td>02-08-2002</td>\n",
       "      <td>Yale University Press</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>438</td>\n",
       "      <td>19809</td>\n",
       "      <td>The Last Lion: Winston Spencer Churchill: Visi...</td>\n",
       "      <td>William Manchester</td>\n",
       "      <td>4.42</td>\n",
       "      <td>385313489</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>992</td>\n",
       "      <td>9659</td>\n",
       "      <td>467</td>\n",
       "      <td>04-01-1984</td>\n",
       "      <td>Delta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>437</td>\n",
       "      <td>19808</td>\n",
       "      <td>The Last Lion: Winston Spencer Churchill: Visi...</td>\n",
       "      <td>William Manchester</td>\n",
       "      <td>4.42</td>\n",
       "      <td>316545031</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>en-US</td>\n",
       "      <td>992</td>\n",
       "      <td>335</td>\n",
       "      <td>38</td>\n",
       "      <td>5/30/1983</td>\n",
       "      <td>Little  Brown &amp; Company</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4039</td>\n",
       "      <td>19670</td>\n",
       "      <td>Debt of Honor (Jack Ryan  #7)</td>\n",
       "      <td>Tom Clancy</td>\n",
       "      <td>4.05</td>\n",
       "      <td>425147584</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>990</td>\n",
       "      <td>39521</td>\n",
       "      <td>469</td>\n",
       "      <td>08-01-1995</td>\n",
       "      <td>Berkley Books</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>9425</td>\n",
       "      <td>24978</td>\n",
       "      <td>Inside Job</td>\n",
       "      <td>Connie Willis</td>\n",
       "      <td>3.67</td>\n",
       "      <td>1596060247</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>99</td>\n",
       "      <td>1442</td>\n",
       "      <td>180</td>\n",
       "      <td>06-01-2005</td>\n",
       "      <td>Subterranean Press</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1028</td>\n",
       "      <td>31580</td>\n",
       "      <td>In Search of Duende</td>\n",
       "      <td>Federico García Lorca/Norman Thomas di Giovanni</td>\n",
       "      <td>4.3</td>\n",
       "      <td>811213765</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>99</td>\n",
       "      <td>616</td>\n",
       "      <td>36</td>\n",
       "      <td>4/17/1998</td>\n",
       "      <td>New Directions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>632</td>\n",
       "      <td>44921</td>\n",
       "      <td>Explode the Code 1</td>\n",
       "      <td>Nancy Hall</td>\n",
       "      <td>4.37</td>\n",
       "      <td>838814603</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>99</td>\n",
       "      <td>89</td>\n",
       "      <td>10</td>\n",
       "      <td>01-01-2001</td>\n",
       "      <td>School Specialty Publishing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>10253</td>\n",
       "      <td>34307</td>\n",
       "      <td>Aches &amp; Pains</td>\n",
       "      <td>Maeve Binchy/Wendy Shea</td>\n",
       "      <td>3.53</td>\n",
       "      <td>385335105</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>en-US</td>\n",
       "      <td>99</td>\n",
       "      <td>356</td>\n",
       "      <td>30</td>\n",
       "      <td>6/13/2000</td>\n",
       "      <td>Delacorte Press</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>5813</td>\n",
       "      <td>7015</td>\n",
       "      <td>A Midsummer Night's Dream</td>\n",
       "      <td>William Shakespeare/Roma Gill</td>\n",
       "      <td>3.94</td>\n",
       "      <td>198320213</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>99</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>8/15/2002</td>\n",
       "      <td>Oxford University Press  USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2629</td>\n",
       "      <td>35539</td>\n",
       "      <td>The Beatles: The Biography</td>\n",
       "      <td>Bob Spitz</td>\n",
       "      <td>4.15</td>\n",
       "      <td>316013315</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>983</td>\n",
       "      <td>9041</td>\n",
       "      <td>417</td>\n",
       "      <td>10-10-2005</td>\n",
       "      <td>Little Brown</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2372</td>\n",
       "      <td>31871</td>\n",
       "      <td>History of Political Philosophy</td>\n",
       "      <td>Leo Strauss/Joseph Cropsey</td>\n",
       "      <td>4.17</td>\n",
       "      <td>226777103</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>980</td>\n",
       "      <td>441</td>\n",
       "      <td>27</td>\n",
       "      <td>11/30/1987</td>\n",
       "      <td>University of Chicago Press</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>4951</td>\n",
       "      <td>43236</td>\n",
       "      <td>MySQL Cookbook</td>\n",
       "      <td>Paul DuBois</td>\n",
       "      <td>4</td>\n",
       "      <td>059652708X</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>en-US</td>\n",
       "      <td>980</td>\n",
       "      <td>126</td>\n",
       "      <td>8</td>\n",
       "      <td>12-04-2006</td>\n",
       "      <td>O'Reilly Media</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>6512</td>\n",
       "      <td>14812</td>\n",
       "      <td>The Sword of Angels (The Bronze Knight  #3)</td>\n",
       "      <td>John Marco</td>\n",
       "      <td>3.9</td>\n",
       "      <td>075640360X</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>en-US</td>\n",
       "      <td>980</td>\n",
       "      <td>827</td>\n",
       "      <td>23</td>\n",
       "      <td>07-01-2006</td>\n",
       "      <td>Daw Books</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>344</td>\n",
       "      <td>10965</td>\n",
       "      <td>A Breath of Snow and Ashes (Outlander  #6)</td>\n",
       "      <td>Diana Gabaldon</td>\n",
       "      <td>4.44</td>\n",
       "      <td>385340397</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>980</td>\n",
       "      <td>105950</td>\n",
       "      <td>3992</td>\n",
       "      <td>8/29/2006</td>\n",
       "      <td>Delta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>4879</td>\n",
       "      <td>30041</td>\n",
       "      <td>Elric of Melnibone: Bright Shadows</td>\n",
       "      <td>Charles  Green/Richard Ford/Pascal Quidault</td>\n",
       "      <td>4</td>\n",
       "      <td>1905850581</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>98</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>04-01-2008</td>\n",
       "      <td>Mongoose Publishing</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    index  bookID                                              title  \\\n",
       "4    6490   11511                                 L'Échiquier du mal   \n",
       "5   10466   27847         Data Structures and Abstractions with Java   \n",
       "6    5073   28898  Fundamentals of Heat and Mass Transfer [with I...   \n",
       "7    4499   16619                               Democracy in America   \n",
       "8    7256   11525                 1 000 Places to See Before You Die   \n",
       "9     837   28389                              Marcel Proust: A Life   \n",
       "10    438   19809  The Last Lion: Winston Spencer Churchill: Visi...   \n",
       "11    437   19808  The Last Lion: Winston Spencer Churchill: Visi...   \n",
       "12   4039   19670                      Debt of Honor (Jack Ryan  #7)   \n",
       "13   9425   24978                                         Inside Job   \n",
       "14   1028   31580                                In Search of Duende   \n",
       "15    632   44921                                 Explode the Code 1   \n",
       "16  10253   34307                                      Aches & Pains   \n",
       "17   5813    7015                          A Midsummer Night's Dream   \n",
       "18   2629   35539                         The Beatles: The Biography   \n",
       "19   2372   31871                    History of Political Philosophy   \n",
       "20   4951   43236                                     MySQL Cookbook   \n",
       "21   6512   14812        The Sword of Angels (The Bronze Knight  #3)   \n",
       "22    344   10965         A Breath of Snow and Ashes (Outlander  #6)   \n",
       "23   4879   30041                 Elric of Melnibone: Bright Shadows   \n",
       "\n",
       "                                              authors average_rating  \\\n",
       "4                                         Dan Simmons            3.9   \n",
       "5                  Frank M. Carrano/Walter J. Savitch           3.47   \n",
       "6                  Frank P. Incropera/David P. DeWitt           3.99   \n",
       "7   Alexis de Tocqueville/Isaac Kramnick/Gerald Bevan           4.02   \n",
       "8                                    Patricia Schultz           3.85   \n",
       "9                                   William C. Carter           4.33   \n",
       "10                                 William Manchester           4.42   \n",
       "11                                 William Manchester           4.42   \n",
       "12                                         Tom Clancy           4.05   \n",
       "13                                      Connie Willis           3.67   \n",
       "14    Federico García Lorca/Norman Thomas di Giovanni            4.3   \n",
       "15                                         Nancy Hall           4.37   \n",
       "16                            Maeve Binchy/Wendy Shea           3.53   \n",
       "17                      William Shakespeare/Roma Gill           3.94   \n",
       "18                                          Bob Spitz           4.15   \n",
       "19                         Leo Strauss/Joseph Cropsey           4.17   \n",
       "20                                        Paul DuBois              4   \n",
       "21                                         John Marco            3.9   \n",
       "22                                     Diana Gabaldon           4.44   \n",
       "23        Charles  Green/Richard Ford/Pascal Quidault              4   \n",
       "\n",
       "          isbn    isbn13 language_code num_pages  ratings_count  \\\n",
       "4   2207254410  9.78E+12           fre       999             63   \n",
       "5   013237045X  9.78E+12           eng       998             34   \n",
       "6    470055545  9.78E+12         en-US       997              6   \n",
       "7    140447601  9.78E+12           eng       992          18925   \n",
       "8    761104844  9.78E+12           eng       992          36303   \n",
       "9    300094000  9.78E+12           eng       992             14   \n",
       "10   385313489  9.78E+12           eng       992           9659   \n",
       "11   316545031  9.78E+12         en-US       992            335   \n",
       "12   425147584  9.78E+12           eng       990          39521   \n",
       "13  1596060247  9.78E+12           eng        99           1442   \n",
       "14   811213765  9.78E+12           eng        99            616   \n",
       "15   838814603  9.78E+12           eng        99             89   \n",
       "16   385335105  9.78E+12         en-US        99            356   \n",
       "17   198320213  9.78E+12           eng        99             14   \n",
       "18   316013315  9.78E+12           eng       983           9041   \n",
       "19   226777103  9.78E+12           eng       980            441   \n",
       "20  059652708X  9.78E+12         en-US       980            126   \n",
       "21  075640360X  9.78E+12         en-US       980            827   \n",
       "22   385340397  9.78E+12           eng       980         105950   \n",
       "23  1905850581  9.78E+12           eng        98              8   \n",
       "\n",
       "    text_reviews_count publication_date                     publisher  \n",
       "4                    7       06-08-2003                        Denoël  \n",
       "5                    3       08-04-2006                 Prentice Hall  \n",
       "6                    0       10/30/2006                         Wiley  \n",
       "7                  523        4/24/2003              Penguin Classics  \n",
       "8                  439        5/22/2003    Workman Publishing Company  \n",
       "9                    4       02-08-2002         Yale University Press  \n",
       "10                 467       04-01-1984                         Delta  \n",
       "11                  38        5/30/1983       Little  Brown & Company  \n",
       "12                 469       08-01-1995                 Berkley Books  \n",
       "13                 180       06-01-2005            Subterranean Press  \n",
       "14                  36        4/17/1998                New Directions  \n",
       "15                  10       01-01-2001   School Specialty Publishing  \n",
       "16                  30        6/13/2000               Delacorte Press  \n",
       "17                   3        8/15/2002  Oxford University Press  USA  \n",
       "18                 417       10-10-2005                  Little Brown  \n",
       "19                  27       11/30/1987   University of Chicago Press  \n",
       "20                   8       12-04-2006                O'Reilly Media  \n",
       "21                  23       07-01-2006                     Daw Books  \n",
       "22                3992        8/29/2006                         Delta  \n",
       "23                   0       04-01-2008           Mongoose Publishing  "
      ]
     },
     "execution_count": 161,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=df.sort_values('num_pages', ascending=False).reset_index()\n",
    "df=df.iloc[4:]\n",
    "df.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "df.num_pages=df.num_pages.astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 11123 entries, 4 to 11126\n",
      "Data columns (total 13 columns):\n",
      " #   Column              Non-Null Count  Dtype  \n",
      "---  ------              --------------  -----  \n",
      " 0   index               11123 non-null  int64  \n",
      " 1   bookID              11123 non-null  int64  \n",
      " 2   title               11123 non-null  object \n",
      " 3   authors             11123 non-null  object \n",
      " 4   average_rating      11123 non-null  float64\n",
      " 5   isbn                11123 non-null  object \n",
      " 6   isbn13              11123 non-null  object \n",
      " 7   language_code       11123 non-null  object \n",
      " 8   num_pages           11123 non-null  float64\n",
      " 9   ratings_count       11123 non-null  int64  \n",
      " 10  text_reviews_count  11123 non-null  int64  \n",
      " 11  publication_date    11123 non-null  object \n",
      " 12  publisher           11123 non-null  object \n",
      "dtypes: float64(2), int64(4), object(7)\n",
      "memory usage: 1.1+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x27a68947208>"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1440x1440 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,20))\n",
    "ax=sns.relplot( x=\"average_rating\", y=\"num_pages\",data=df,sizes=(400,200), height=7)\n",
    "plt.title('Relation between Rating counts and no pages')\n",
    "ax.set_axis_labels(\"average_rating\", \"no pages\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Preparation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2=df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2.loc[(df2['average_rating']>=0)&(df2['average_rating']<=1),'rating between']=\"between 0 and 1\"\n",
    "df2.loc[(df2['average_rating']>1)&(df2['average_rating']<=2),'rating between']=\"between 1 and 2\"\n",
    "df2.loc[(df2['average_rating']>2)&(df2['average_rating']<=3),'rating between']=\"between 2 and 3\"\n",
    "df2.loc[(df2['average_rating']>3)&(df2['average_rating']<=4),'rating between']=\"between 3 and 4\"\n",
    "df2.loc[(df2['average_rating']>4)&(df2['average_rating']<=5),'rating between']=\"between 4 and 5\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "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>index</th>\n",
       "      <th>bookID</th>\n",
       "      <th>title</th>\n",
       "      <th>authors</th>\n",
       "      <th>average_rating</th>\n",
       "      <th>isbn</th>\n",
       "      <th>isbn13</th>\n",
       "      <th>language_code</th>\n",
       "      <th>num_pages</th>\n",
       "      <th>ratings_count</th>\n",
       "      <th>text_reviews_count</th>\n",
       "      <th>publication_date</th>\n",
       "      <th>publisher</th>\n",
       "      <th>rating between</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8029</th>\n",
       "      <td>11105</td>\n",
       "      <td>9337</td>\n",
       "      <td>How To Meditate: An Anthology Of Talks On Medi...</td>\n",
       "      <td>Frederick P. Lenz</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1932206108</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>228.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>01-01-2004</td>\n",
       "      <td>Frederick P. Lenz Foundation for American Budd...</td>\n",
       "      <td>between 0 and 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10480</th>\n",
       "      <td>11114</td>\n",
       "      <td>25841</td>\n",
       "      <td>The Road To War  1933 39</td>\n",
       "      <td>Andrew      Hunt</td>\n",
       "      <td>0.0</td>\n",
       "      <td>340774770</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>128.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>04-01-2000</td>\n",
       "      <td>Hodder &amp; Stoughton Educational Division</td>\n",
       "      <td>between 0 and 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9625</th>\n",
       "      <td>11124</td>\n",
       "      <td>42758</td>\n",
       "      <td>The Fantastic Vampire: Studies in the Children...</td>\n",
       "      <td>James Craig Holte</td>\n",
       "      <td>0.0</td>\n",
       "      <td>313309337</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>176.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3/30/2002</td>\n",
       "      <td>Greenwood Press</td>\n",
       "      <td>between 0 and 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5128</th>\n",
       "      <td>11116</td>\n",
       "      <td>27416</td>\n",
       "      <td>Mythographi Graeci 1: Apollodori Bibliotheca  ...</td>\n",
       "      <td>Apollodorus/Richard Wagner</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3598715439</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>grc</td>\n",
       "      <td>335.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7/15/1998</td>\n",
       "      <td>K.G. Saur Verlag</td>\n",
       "      <td>between 0 and 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8528</th>\n",
       "      <td>11118</td>\n",
       "      <td>29091</td>\n",
       "      <td>The Berlin Phenomenology</td>\n",
       "      <td>Georg Wilhelm Friedrich Hegel/Michael John Petry</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9027712050</td>\n",
       "      <td>9.79E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>210.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5/31/1981</td>\n",
       "      <td>Springer</td>\n",
       "      <td>between 0 and 1</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10502</th>\n",
       "      <td>8</td>\n",
       "      <td>14741</td>\n",
       "      <td>Zone of the Enders: The 2nd Runner Official St...</td>\n",
       "      <td>Tim Bogenn</td>\n",
       "      <td>5.0</td>\n",
       "      <td>744002354</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>128.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>03-06-2003</td>\n",
       "      <td>BradyGames</td>\n",
       "      <td>between 4 and 5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1600</th>\n",
       "      <td>17</td>\n",
       "      <td>23552</td>\n",
       "      <td>The New Big Book of America</td>\n",
       "      <td>Todd Davis/Marc Frey</td>\n",
       "      <td>5.0</td>\n",
       "      <td>762412631</td>\n",
       "      <td>9.78E+12</td>\n",
       "      <td>eng</td>\n",
       "      <td>56.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3/21/2002</td>\n",
       "      <td>Courage Books</td>\n",
       "      <td>between 4 and 5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8809</th>\n",
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       "<p>11123 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       index  bookID                                              title  \\\n",
       "8029   11105    9337  How To Meditate: An Anthology Of Talks On Medi...   \n",
       "10480  11114   25841                           The Road To War  1933 39   \n",
       "9625   11124   42758  The Fantastic Vampire: Studies in the Children...   \n",
       "5128   11116   27416  Mythographi Graeci 1: Apollodori Bibliotheca  ...   \n",
       "8528   11118   29091                           The Berlin Phenomenology   \n",
       "...      ...     ...                                                ...   \n",
       "10502      8   14741  Zone of the Enders: The 2nd Runner Official St...   \n",
       "1600      17   23552                        The New Big Book of America   \n",
       "8809      10   17830  Bulgakov's the Master and Margarita: The Text ...   \n",
       "8882      13   19788  The Goon Show  Volume 11: He's Fallen in the W...   \n",
       "5089      19   32823       Fanning the Flame: Bible  Cross  and Mission   \n",
       "\n",
       "                                                authors  average_rating  \\\n",
       "8029                                  Frederick P. Lenz             0.0   \n",
       "10480                                  Andrew      Hunt             0.0   \n",
       "9625                                  James Craig Holte             0.0   \n",
       "5128                         Apollodorus/Richard Wagner             0.0   \n",
       "8528   Georg Wilhelm Friedrich Hegel/Michael John Petry             0.0   \n",
       "...                                                 ...             ...   \n",
       "10502                                        Tim Bogenn             5.0   \n",
       "1600                               Todd Davis/Marc Frey             5.0   \n",
       "8809                                    Elena N. Mahlow             5.0   \n",
       "8882                                         NOT A BOOK             5.0   \n",
       "5089   Chris    Green/Chris Wright/Paul Douglas Gardner             5.0   \n",
       "\n",
       "             isbn    isbn13 language_code  num_pages  ratings_count  \\\n",
       "8029   1932206108  9.78E+12           eng      228.0              0   \n",
       "10480   340774770  9.78E+12           eng      128.0              0   \n",
       "9625    313309337  9.78E+12           eng      176.0              0   \n",
       "5128   3598715439  9.78E+12           grc      335.0              0   \n",
       "8528   9027712050  9.79E+12           eng      210.0              0   \n",
       "...           ...       ...           ...        ...            ...   \n",
       "10502   744002354  9.78E+12           eng      128.0              2   \n",
       "1600    762412631  9.78E+12           eng       56.0              2   \n",
       "8809    533017424  9.78E+12           eng      202.0              4   \n",
       "8882    563388323  9.78E+12           eng        2.0              2   \n",
       "5089    310249872  9.78E+12           eng      336.0              1   \n",
       "\n",
       "       text_reviews_count publication_date  \\\n",
       "8029                    0       01-01-2004   \n",
       "10480                   0       04-01-2000   \n",
       "9625                    0        3/30/2002   \n",
       "5128                    0        7/15/1998   \n",
       "8528                    0        5/31/1981   \n",
       "...                   ...              ...   \n",
       "10502                   0       03-06-2003   \n",
       "1600                    1        3/21/2002   \n",
       "8809                    0       01-01-1975   \n",
       "8882                    0       10-02-1995   \n",
       "5089                    1        6/17/2003   \n",
       "\n",
       "                                               publisher   rating between  \n",
       "8029   Frederick P. Lenz Foundation for American Budd...  between 0 and 1  \n",
       "10480            Hodder & Stoughton Educational Division  between 0 and 1  \n",
       "9625                                     Greenwood Press  between 0 and 1  \n",
       "5128                                    K.G. Saur Verlag  between 0 and 1  \n",
       "8528                                            Springer  between 0 and 1  \n",
       "...                                                  ...              ...  \n",
       "10502                                         BradyGames  between 4 and 5  \n",
       "1600                                       Courage Books  between 4 and 5  \n",
       "8809                                       Vantage Press  between 4 and 5  \n",
       "8882                                  BBC Physical Audio  between 4 and 5  \n",
       "5089                                           Zondervan  between 4 and 5  \n",
       "\n",
       "[11123 rows x 14 columns]"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.sort_values('average_rating')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [],
   "source": [
    "rating_df=pd.get_dummies(df2['rating between'])\n",
    "language_df=pd.get_dummies(df2['language_code'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [
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       "       ale  ara  en-CA  en-GB  en-US  eng  enm  fre  ger  gla  ...  nl  nor  \\\n",
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     "execution_count": 177,
     "metadata": {},
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   "source": [
    "language_df"
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  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [],
   "source": [
    "feature=pd.concat([rating_df, language_df, df2['average_rating'], df2['ratings_count']], axis=1)"
   ]
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  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
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       "      <th>wel</th>\n",
       "      <th>zho</th>\n",
       "      <th>average_rating</th>\n",
       "      <th>ratings_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.90</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.47</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.99</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.02</td>\n",
       "      <td>18925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.85</td>\n",
       "      <td>36303</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11122</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11123</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.84</td>\n",
       "      <td>91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11124</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.51</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11125</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.89</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11126</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.29</td>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11123 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       between 0 and 1  between 1 and 2  between 2 and 3  between 3 and 4  \\\n",
       "4                    0                0                0                1   \n",
       "5                    0                0                0                1   \n",
       "6                    0                0                0                1   \n",
       "7                    0                0                0                0   \n",
       "8                    0                0                0                1   \n",
       "...                ...              ...              ...              ...   \n",
       "11122                0                0                0                1   \n",
       "11123                0                0                0                1   \n",
       "11124                0                0                0                1   \n",
       "11125                0                0                0                1   \n",
       "11126                0                0                0                0   \n",
       "\n",
       "       between 4 and 5  ale  ara  en-CA  en-GB  en-US  ...  por  rus  spa  \\\n",
       "4                    0    0    0      0      0      0  ...    0    0    0   \n",
       "5                    0    0    0      0      0      0  ...    0    0    0   \n",
       "6                    0    0    0      0      0      1  ...    0    0    0   \n",
       "7                    1    0    0      0      0      0  ...    0    0    0   \n",
       "8                    0    0    0      0      0      0  ...    0    0    0   \n",
       "...                ...  ...  ...    ...    ...    ...  ...  ...  ...  ...   \n",
       "11122                0    0    0      0      0      0  ...    0    0    0   \n",
       "11123                0    0    0      0      0      0  ...    0    0    0   \n",
       "11124                0    0    0      0      0      0  ...    0    0    0   \n",
       "11125                0    0    0      0      0      0  ...    0    0    0   \n",
       "11126                1    0    0      0      0      0  ...    0    0    0   \n",
       "\n",
       "       srp  swe  tur  wel  zho  average_rating  ratings_count  \n",
       "4        0    0    0    0    0            3.90             63  \n",
       "5        0    0    0    0    0            3.47             34  \n",
       "6        0    0    0    0    0            3.99              6  \n",
       "7        0    0    0    0    0            4.02          18925  \n",
       "8        0    0    0    0    0            3.85          36303  \n",
       "...    ...  ...  ...  ...  ...             ...            ...  \n",
       "11122    0    0    0    0    0            4.00              7  \n",
       "11123    0    0    0    0    0            3.84             91  \n",
       "11124    0    0    0    0    0            3.51             42  \n",
       "11125    0    0    0    0    0            3.89              2  \n",
       "11126    0    0    0    0    0            4.29            101  \n",
       "\n",
       "[11123 rows x 34 columns]"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feature "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Building Book Recommendation System"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "minmax=MinMaxScaler()\n",
    "\n",
    "feature=minmax.fit_transform(feature)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
       "        0.00000000e+00, 7.80000000e-01, 1.37026048e-05],\n",
       "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
       "        0.00000000e+00, 6.94000000e-01, 7.39505654e-06],\n",
       "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
       "        0.00000000e+00, 7.98000000e-01, 1.30500998e-06],\n",
       "       ...,\n",
       "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
       "        0.00000000e+00, 7.02000000e-01, 9.13506984e-06],\n",
       "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
       "        0.00000000e+00, 7.78000000e-01, 4.35003326e-07],\n",
       "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
       "        0.00000000e+00, 8.58000000e-01, 2.19676679e-05]])"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import neighbors\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "model=neighbors.NearestNeighbors(n_neighbors=8, algorithm='ball_tree')\n",
    "\n",
    "model.fit(feature)\n",
    "\n",
    "dist, idlist=model.kneighbors(feature)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.00000000e+00, 2.82752162e-06, 3.11027378e-05, ...,\n",
       "        2.00015369e-03, 4.00000766e-03, 4.00001420e-03],\n",
       "       [0.00000000e+00, 4.35003326e-07, 2.17501663e-06, ...,\n",
       "        4.13253159e-06, 5.22003991e-06, 6.52504988e-06],\n",
       "       [0.00000000e+00, 8.70006651e-07, 1.52251164e-06, ...,\n",
       "        1.26150964e-05, 2.74052095e-05, 2.97977278e-05],\n",
       "       ...,\n",
       "       [0.00000000e+00, 1.74001330e-06, 2.61001995e-06, ...,\n",
       "        8.48256485e-06, 1.10925848e-05, 2.02276546e-05],\n",
       "       [0.00000000e+00, 2.17501663e-07, 4.35003326e-07, ...,\n",
       "        1.52251164e-06, 2.61001995e-06, 3.26252494e-06],\n",
       "       [0.00000000e+00, 1.30500998e-06, 5.22003991e-06, ...,\n",
       "        9.57007316e-06, 1.06575815e-05, 1.39201064e-05]])"
      ]
     },
     "execution_count": 191,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[    0,  5496,  7404, ...,  2732,  6643,  4303],\n",
       "       [    1,  7083,  7079, ..., 10608,  9444, 10956],\n",
       "       [    2,  1235,  8600, ...,  3897,   383,   981],\n",
       "       ...,\n",
       "       [11120,  5995,  1469, ...,  1177,  9113, 10707],\n",
       "       [11121,  4798,  1087, ...,  8126,   520,  8430],\n",
       "       [11122, 11094,  4586, ...,  2923,  9918,  6568]], dtype=int64)"
      ]
     },
     "execution_count": 193,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idlist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Harry Potter and the Half-Blood Prince (Harry Potter  #6)',\n",
       " 'The Lion  the Witch and the Wardrobe (Chronicles of Narnia #2)',\n",
       " 'American Legal History: Cases and Materials',\n",
       " 'The Lion  the Witch and the Wardrobe (Narnia)',\n",
       " 'Malinche',\n",
       " 'Love Mode  Vol. 3',\n",
       " 'The Body in the Library (Miss Marple  #3)',\n",
       " 'When Rain Clouds Gather']"
      ]
     },
     "execution_count": 192,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def bookRecom(name):\n",
    "    book_list=[]\n",
    "    book_id=df2[df2['title']==name].index\n",
    "    book_id=book_id[0]\n",
    "    for new in idlist[book_id]:\n",
    "        book_list.append(df2.loc[new].title)\n",
    "    return book_list\n",
    "\n",
    "Book_name=bookRecom('Harry Potter and the Half-Blood Prince (Harry Potter  #6)')\n",
    "Book_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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