Goodreads  Exploratory Data Analysis & Statistical Tests.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "dirty-jamaica",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import MongoDB Client & necessary packages\n",
    "from pymongo import MongoClient\n",
    "import pprint\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "plt.style.use('fivethirtyeight')\n",
    "\n",
    "# Requests sends and recieves HTTP requests.\n",
    "import requests\n",
    "\n",
    "# Beautiful Soup parses HTML documents in python.\n",
    "from bs4 import BeautifulSoup\n",
    "\n",
    "import json\n",
    "import time\n",
    "\n",
    "\n",
    "from scipy import stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "specialized-comfort",
   "metadata": {},
   "outputs": [],
   "source": [
    "client = MongoClient('localhost', 27017)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "transsexual-cardiff",
   "metadata": {},
   "outputs": [],
   "source": [
    "# start mongoDB\n",
    "db = client['book']\n",
    "book_detail = db['book_detail']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "collect-opposition",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1902"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# count of books\n",
    "book_detail.estimated_document_count()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "assisted-horse",
   "metadata": {},
   "source": [
    "### Simple Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "qualified-chambers",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(book_detail.find({},{'_id':False}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "adult-antique",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>book_title</th>\n",
       "      <th>author_name</th>\n",
       "      <th>avg_rating</th>\n",
       "      <th>rating_count</th>\n",
       "      <th>review_count</th>\n",
       "      <th>format</th>\n",
       "      <th>number_of_page</th>\n",
       "      <th>language</th>\n",
       "      <th>ISBN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Computer Science: An Overview</td>\n",
       "      <td>J. Glenn Brookshear</td>\n",
       "      <td>3.76</td>\n",
       "      <td>310</td>\n",
       "      <td>22</td>\n",
       "      <td>Paperback</td>\n",
       "      <td>599.0</td>\n",
       "      <td>English</td>\n",
       "      <td>ISBN0321387015(ISBN13:9780321387011)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Multiple Choice Questions in Computer Science</td>\n",
       "      <td>Ela Kumar</td>\n",
       "      <td>3.62</td>\n",
       "      <td>66</td>\n",
       "      <td>9</td>\n",
       "      <td>Paperback</td>\n",
       "      <td>472.0</td>\n",
       "      <td>None</td>\n",
       "      <td>ISBN819067577X(ISBN13:9788190675772)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Cambridge International as and a Level Compute...</td>\n",
       "      <td>Tony Piper</td>\n",
       "      <td>4.29</td>\n",
       "      <td>41</td>\n",
       "      <td>4</td>\n",
       "      <td>Paperback</td>\n",
       "      <td>328.0</td>\n",
       "      <td>None</td>\n",
       "      <td>ISBN1107547547(ISBN13:9781107547544)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Algorithms on Strings, Trees and Sequences: Co...</td>\n",
       "      <td>Dan Gusfield</td>\n",
       "      <td>4.09</td>\n",
       "      <td>85</td>\n",
       "      <td>4</td>\n",
       "      <td>Hardcover</td>\n",
       "      <td>556.0</td>\n",
       "      <td>English</td>\n",
       "      <td>ISBN0521585198(ISBN13:9780521585194)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Coding the Matrix: Linear Algebra through Comp...</td>\n",
       "      <td>Philip N. Klein</td>\n",
       "      <td>4.23</td>\n",
       "      <td>115</td>\n",
       "      <td>5</td>\n",
       "      <td>Paperback</td>\n",
       "      <td>528.0</td>\n",
       "      <td>English</td>\n",
       "      <td>ISBN061585673X(ISBN13:9780615856735)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          book_title          author_name  \\\n",
       "0                      Computer Science: An Overview  J. Glenn Brookshear   \n",
       "1      Multiple Choice Questions in Computer Science            Ela Kumar   \n",
       "2  Cambridge International as and a Level Compute...           Tony Piper   \n",
       "3  Algorithms on Strings, Trees and Sequences: Co...         Dan Gusfield   \n",
       "4  Coding the Matrix: Linear Algebra through Comp...      Philip N. Klein   \n",
       "\n",
       "   avg_rating  rating_count  review_count     format  number_of_page language  \\\n",
       "0        3.76           310            22  Paperback           599.0  English   \n",
       "1        3.62            66             9  Paperback           472.0     None   \n",
       "2        4.29            41             4  Paperback           328.0     None   \n",
       "3        4.09            85             4  Hardcover           556.0  English   \n",
       "4        4.23           115             5  Paperback           528.0  English   \n",
       "\n",
       "                                   ISBN  \n",
       "0  ISBN0321387015(ISBN13:9780321387011)  \n",
       "1  ISBN819067577X(ISBN13:9788190675772)  \n",
       "2  ISBN1107547547(ISBN13:9781107547544)  \n",
       "3  ISBN0521585198(ISBN13:9780521585194)  \n",
       "4  ISBN061585673X(ISBN13:9780615856735)  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "stable-insulin",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1902, 9)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "equipped-scholar",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1902 entries, 0 to 1901\n",
      "Data columns (total 9 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   book_title      1902 non-null   object \n",
      " 1   author_name     1902 non-null   object \n",
      " 2   avg_rating      1902 non-null   float64\n",
      " 3   rating_count    1902 non-null   int64  \n",
      " 4   review_count    1902 non-null   int64  \n",
      " 5   format          1852 non-null   object \n",
      " 6   number_of_page  1573 non-null   float64\n",
      " 7   language        956 non-null    object \n",
      " 8   ISBN            1902 non-null   object \n",
      "dtypes: float64(2), int64(2), object(5)\n",
      "memory usage: 148.6+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "informational-winter",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "        vertical-align: middle;\n",
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       "\n",
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       "        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>avg_rating</th>\n",
       "      <th>rating_count</th>\n",
       "      <th>review_count</th>\n",
       "      <th>number_of_page</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1902.000000</td>\n",
       "      <td>1902.000000</td>\n",
       "      <td>1902.000000</td>\n",
       "      <td>1573.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.109311</td>\n",
       "      <td>10.786015</td>\n",
       "      <td>1.182440</td>\n",
       "      <td>387.778767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.017028</td>\n",
       "      <td>61.096563</td>\n",
       "      <td>9.845778</td>\n",
       "      <td>305.735283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>189.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2.790000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>332.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>512.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>965.000000</td>\n",
       "      <td>218.000000</td>\n",
       "      <td>3348.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        avg_rating  rating_count  review_count  number_of_page\n",
       "count  1902.000000   1902.000000   1902.000000     1573.000000\n",
       "mean      2.109311     10.786015      1.182440      387.778767\n",
       "std       2.017028     61.096563      9.845778      305.735283\n",
       "min       0.000000      0.000000      0.000000        0.000000\n",
       "25%       0.000000      0.000000      0.000000      189.000000\n",
       "50%       2.790000      1.000000      0.000000      332.000000\n",
       "75%       4.000000      3.000000      0.000000      512.000000\n",
       "max       5.000000    965.000000    218.000000     3348.000000"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "centered-simon",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "book_title          0\n",
       "author_name         0\n",
       "avg_rating          0\n",
       "rating_count        0\n",
       "review_count        0\n",
       "format             50\n",
       "number_of_page    329\n",
       "language          946\n",
       "ISBN                0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.apply(lambda x: sum(x.isnull()),axis=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "palestinian-adolescent",
   "metadata": {},
   "source": [
    "### Plotting\n",
    "We want to understand the dataset by plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "falling-paris",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.hist(figsize=(20,10), grid=False)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "competent-longer",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.hist(df['avg_rating'], bins=20);\n",
    "plt.title(\"Average Rating\")\n",
    "plt.xlabel('Average Raiting')\n",
    "plt.ylabel('Count');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "collect-alloy",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.boxplot(df['avg_rating']);\n",
    "plt.title(\"Average Rating\")\n",
    "plt.xlabel('Average Raiting')\n",
    "plt.ylabel('Count');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "controlled-grass",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.hist(df['number_of_page'].dropna(), bins=20);\n",
    "plt.title(\"Number of Page\")\n",
    "plt.xlabel('Number of Page')\n",
    "plt.ylabel('Count');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "loving-colombia",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.boxplot(df['number_of_page'].dropna());\n",
    "plt.title(\"Number of Page\")\n",
    "plt.xlabel('Number of Page')\n",
    "plt.ylabel('Count');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "regulated-latvia",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.hist(df['rating_count'], bins=20);\n",
    "plt.title(\"Rating Count\")\n",
    "plt.xlabel('Rating Count')\n",
    "plt.ylabel('Count');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "cultural-fiction",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.boxplot(df['rating_count']);\n",
    "plt.title(\"Rating Count\")\n",
    "plt.xlabel('Rating Count')\n",
    "plt.ylabel('Count');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "special-foster",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.boxplot(df['review_count']);\n",
    "plt.title(\"Review Count\")\n",
    "plt.xlabel('Review Count')\n",
    "plt.ylabel('Count');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "entertaining-screen",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.hist(df['review_count'], bins=20);\n",
    "plt.title(\"Review Count\")\n",
    "plt.xlabel('Review Count')\n",
    "plt.ylabel('Count');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "revolutionary-philosophy",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['format'].value_counts().sort_values(ascending=True).plot(kind='barh');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "attached-extension",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.scatter(df['avg_rating'],df['number_of_page']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "identical-corrections",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.scatter(df['rating_count'],df['number_of_page']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "parallel-weekly",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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alixZAkBubi47duwYlAMVEZHgZ7DZbM6+uw1Pw21Wza2k2vlHdfOP6ua/4Va7kFx78HhDOw+UnmdWZQQPlJ7neEP7UO+SiIj4IORC63hDO4vKL3K21UGrw8DZVgeLyi8quEREgkDIhVbBsRauXHdC9Iqzp11ERAJbyIWWrbPbY3uLl3YREQkcIRdasaM8H3KMl3YREQkcIfeXevdfxRB23apQYYaedhERCWwhF1oPjovgv8+7k6QoI1FGJ0lRRv77vDt5cFzEUO+aiIj0od+rvA8HD46LoGZZxLC7f0FEZLgLuZGWiIgEL4WWiIgEDYWWiIgEDYWWiIgEDYWWiIgEDYWWiIgEDYWWiIgEDYWWiIgEDYWWiIgEDYWWiIgEDYWWiIgEjZBce/CMvYvNX9o53TyKlO8vsmFyNMnR4UO9WyIi0oc+R1qvvfYas2bNYvz48dx7770sX76cU6dOufVxOp1s3bqVCRMmMHbsWObPn88333zj1qezs5PCwkJSUlJISEhgxYoV1NfXu/Wx2Wzk5+eTlJREUlIS+fn52Gy2gR/lT5yxdzHvj82Unm7nP380Unq6nXl/bOaMvWtQP0dERAZfn6F17NgxnnnmGcrLyzl48CBhYWEsXryYH374wdWnuLiYkpIStm/fzieffILJZOLxxx/Hbre7+hQVFXHo0CH279/P4cOHsdvtLF++HIfD4eqzatUqampqKC0tpaysjJqaGlavXj2oB/z8cRvn292fUny+vZvnj9sG9XNERGTwGWw2m7M/L2htbSUpKYl3332X3NxcnE4nEyZM4Nlnn+XFF18EoL29HYvFwm9/+1vy8vJoaWkhNTWVkpISnnzySQDOnTtHRkYGZWVlzJkzh9raWrKzszly5AjTpk0DoLKyktzcXL744otBe4SI+f+tp7O7d/uoEdD4N3cNymeEAj3WxT+qm39UN/8Nt9r1eyJGa2sr3d3dxMbGAnDmzBkaGxuZPXu2q09ERATTp0+nqqoKgJMnT9LV1eXWJzExkbS0NFef6upqoqKiyM7OdvWZNm0akZGRrj6DweElorv7Fd0iIjIU+j0RY926dWRkZJCVlQVAY2MjACaTya2fyWSioaEBgKamJoxGI/Hx8b36NDU1ufrEx8djMBhc2w0GA6NHj3b18aSurq5f+3+H8TYuXumd1dHG7n6/V6hTvfyjuvlHdfNfMNWur1Fhv0LrpZde4sSJExw5cgSj0ei27adhAz2TM65vu971fTz17+t9+jvszahr4tPG3pMuMuJHYbGM79d7hbLhdsrhVlHd/KO6+W+41c7n04NFRUV8+OGHHDx4kLvvvtvVbjabAXqNhpqbm12jrzFjxuBwOLBarTfs09zcjNN57Tyd0+nEarX2GsUNhMNLAHb3EbAiIjL0fAqttWvXUlZWxsGDB7nvvvvctiUnJ2M2m6moqHC1dXR0UFlZ6bo+lZmZSXh4uFuf+vp61+QLgKysLFpbW6murnb1qa6upq2tze0610CNu93osX2sl3YREQkcfZ4efPHFF3n//fd55513iI2NdV3DioyMJCoqCoPBQEFBAbt27cJisZCamsrOnTuJjIxk6dKlAMTExLBy5Uo2btyIyWQiLi6O9evXk56ezsyZMwFIS0sjJyeHNWvWUFxcjNPpZM2aNcybN29Qh7YbJkfz5wuX+dZ+bar9PdFGNkyOHrTPEBGRm6PP0HrzzTcBWLRokVv72rVrKSoqAuD555+nvb2dwsJCbDYbU6ZM4cCBA0RHXwuCLVu2YDQaycvLo6OjgxkzZrBnzx63a2P79u1j7dq1LFmyBIDc3Fx27Ngx8KP8ieTocD6aF9+zIoa1lZT4KK2IISISJPp9n9ZwMtwuUN5Kqp1/VDf/qG7+G26104K5IiISNBRaIiISNBRaIiISNBRaIiISNBRaIiISNBRaIiISNBRaIiISNBRaIiISNBRaIiISNBRaIiISNBRaIiISNPr95OLh4Iy9q2fB3OZRpHx/UQvmiogEiZALrTP2LhaXW//vo0mM/OeP7fz5wmU+mhev4BIRCXAhd3pw85d2t2dpAXxrd7D5S/sQ7ZGIiPgq5EKr4ZLDY/t5L+0iIhI4Qi60xt1u9Ng+1ku7iIgEjpALrQ2To7kn2j2g7ok2smFytJdXiIhIoAi50EqODuejefEsS4lgSoyDZSkRmoQhIhIkQm72IPQE176H76SuzorFkjTUuyMiIj4KuZGWiIgEr5Acaf3U1RuNGy45GHe7UTcai4gEMJ9GWsePH2fFihVMnDiR2NhY3n33XbftBQUFxMbGuv3k5OS49ens7KSwsJCUlBQSEhJYsWIF9fX1bn1sNhv5+fkkJSWRlJREfn4+NpttYEfowRl7F89+epG8k6OY/tEFSk+3c+z8ZUpPt7O43MoZe9egf6aIiAycT6HV1tbGpEmT2LZtGxERER77zJw5k9raWtdPaWmp2/aioiIOHTrE/v37OXz4MHa7neXLl+NwXLs/atWqVdTU1FBaWkpZWRk1NTWsXr16AIfX2xl7F/P/rZnS0+38V6uRtitOt+260VhEJHD5dHpw7ty5zJ07F4C//du/9dhn1KhRmM1mj9taWlp4++23KSkpYdasWQDs3buXjIwMjh49ypw5c6itreXjjz/myJEjZGdnA/D666+Tm5tLXV0dFoul3wfnSVFVC+faum/YRzcai4gEpkGbiFFZWUlqaipTpkzhueee48KFC65tJ0+epKuri9mzZ7vaEhMTSUtLo6qqCoDq6mqioqJcgQUwbdo0IiMjXX0GwxcXLvfZRzcai4gEpkGZiJGTk8OCBQtITk7m7NmzbN68mYULF3L06FFGjRpFU1MTRqOR+Ph4t9eZTCaampoAaGpqIj4+HoPB4NpuMBgYPXq0q48ndXV1/dpXx5XbuFFWJ97WzdNxF6mrs/brfUNRf2svPVQ3/6hu/gum2vV1Vm1QQuuJJ55w/Xd6ejqZmZlkZGRQXl7OwoULvb7O6XT2Cqm++lyvv6cNM+qa+LSx90QLIzA3cRTbpsVo9qAPBvOUbShR3fyjuvlvuNXuptynNW7cOBISEjh9+jQAY8aMweFwYLW6j16am5sxmUyuPs3NzTid1yZGOJ1OrFarq89giBzp+ZAdwP9ouTJonyMiIoPvpoSW1WqloaHBNTEjMzOT8PBwKioqXH3q6+upra11XcPKysqitbWV6upqV5/q6mra2trcrnMN1I9dTq/bNHNQRCSw+XR6sLW11TVq6u7u5ty5c9TU1BAXF0dcXBzbtm1j4cKFmM1mzp49y6ZNmzCZTDz22GMAxMTEsHLlSjZu3IjJZCIuLo7169eTnp7OzJkzAUhLSyMnJ4c1a9ZQXFyM0+lkzZo1zJs3b1CHtt5Web9KMwdFRAKXTyOtr776ihkzZjBjxgza29vZunUrM2bMYMuWLRiNRk6dOsUvfvELpk6dSkFBAampqfz7v/870dHXVk7fsmULjz32GHl5eTz66KNERkby3nvvYTReC5F9+/Zx//33s2TJEp544gnuv/9+9u7dO6gH/Gjija9XaeagiEjgMthsNu/ny4ahB0rPc7bV82jqnmijVnz30XC7uHurqG7+Ud38N9xqF3IL5to6Pd9YHGZAgSUiEuBCLrQivVzFM91mUGCJiAS4kAutpGjP16y8tYuISOAIudCqs3m+nlXXolmDIiKBLuRC68fLnued/NgZUvNRRESCUsiFlrfxlMZZIiKBL+RCy9t4SuMsEZHAF3KhFeZl7V1v7SIiEjhCLrTiRvavXUREAkfIhVaUl/u0vLWLiEjgCLnQOtPWv3YREQkcIRdanhdx6mk/Y+/9cEgREQkcIRdaN7K43KrgEhEJYCF3JceI93uyvrU7WHeihaiRI2i45GDc7UY2TI7WmoQiIgEi5ELL2+nBq/6/+k5+umjGny9c1urvIiIBIuROD/Z1E/H1qzx9a3ew+Uv7TdsfERHxXciFlj83EZ+/pEWeREQCQciF1uQ7+/8IkrG367ElIiKBIOSuaRluMNIyGmD0KGjsuNZ2T3TPZIyfOmPvYvOXdk3WEBG5xUIutL666P1Un8MJk0ePImrkCM5fcjDWQyCdsXexuNzKt/Zr76PJGiIit0bIhdblPqYPtl5x8i+P3Ol1++Yv7W6BBdcma+x72PvrRERk4Hy6pnX8+HFWrFjBxIkTiY2N5d1333Xb7nQ62bp1KxMmTGDs2LHMnz+fb775xq1PZ2cnhYWFpKSkkJCQwIoVK6ivr3frY7PZyM/PJykpiaSkJPLz87HZbAM7wn7q6/rVt/YrHtu/89IuIiKDx6fQamtrY9KkSWzbto2IiIhe24uLiykpKWH79u188sknmEwmHn/8cez2a1PFi4qKOHToEPv37+fw4cPY7XaWL1+Ow3Ft1LJq1SpqamooLS2lrKyMmpoaVq9ePQiH6RtP16+u19TueajW6KVdREQGj0+hNXfuXDZu3MiiRYsYMcL9JU6nk927d/PCCy+waNEiJk2axO7du2ltbaWsrAyAlpYW3n77bTZt2sSsWbPIzMxk7969fP311xw9ehSA2tpaPv74Y373u9+RnZ1NVlYWr7/+OuXl5dTV1Q3uUXsxIabvs6Wm2zzP5BjjpV1ERAbPgK9pnTlzhsbGRmbPnu1qi4iIYPr06VRVVZGXl8fJkyfp6upy65OYmEhaWhpVVVXMmTOH6upqoqKiyM7OdvWZNm0akZGRVFVVYbFYPH5+/wMtAvAcMP92rpP//1/P80/pndwV4fk2ZJMhHOg94WK0of2WhWugCLXjHSyqm39UN/8FU+28/a2/asCh1djYCIDJZHJrN5lMNDQ0ANDU1ITRaCQ+Pr5Xn6amJlef+Ph4DD+Zk24wGBg9erSrjyd9HWAvx+pvuPlcxwieq43i0KOeZwNuH9tF7XWzB++JNrL94TEhNXuwrq6u/7UX1c1Pqpv/hlvtBu3mYsN1N0A5nc5ebde7vo+n/r68z2A72+rwuuJ7cnQ4H82LZ1lKBA+NHcmylAhNdxcRuUUGHFpmsxmg12ioubnZNfoaM2YMDocDq9V6wz7Nzc04nddOyzmdTqxWa69R3K1wozUHk6PD2ffwnRzKNbHv4TsVWCIit8iAQys5ORmz2UxFRYWrraOjg8rKStf1qczMTMLDw9361NfXU1tb6+qTlZVFa2sr1dXVrj7V1dW0tbW5Xee6lbTmoIhIYPHpmlZrayunT58GoLu7m3PnzlFTU0NcXBzjx4+noKCAXbt2YbFYSE1NZefOnURGRrJ06VIAYmJiWLlyJRs3bsRkMhEXF8f69etJT09n5syZAKSlpZGTk8OaNWsoLi7G6XSyZs0a5s2bN2TnY7XmoIhIYPEptL766isWLFjg+vfWrVvZunUrTz31FLt37+b555+nvb2dwsJCbDYbU6ZM4cCBA0RHX7vnacuWLRiNRvLy8ujo6GDGjBns2bMHo/FaMOzbt4+1a9eyZMkSAHJzc9mxY8dgHWu/+HLPloiI3FoGm83W1yOmhpXY39949iDA7WEGKhebhvRaVaAvyjvcZiTdKqqbf1Q3/w232oXc2oO+CDf0TLYYquDQorwiIp4ptDzocsLxhnb+7njLkASHFuUVEfEs5B4C6YtLV5wsOHLRa3AM1Bl7F89+epHH/u0Cz356sdf9YA1eZi1qNqOIhDqNtLzwtvztQIPDl1N/47zMWtRsRhEJdRpp9dNAg+NGp/6u2jA5mnui3T9HsxlFRDTS6hdPwdHfyRq+nPq7ulTU5i/tXp+g7M9ni4gEO4WWj0aNgImx7uXyZ5afr6f+ri4V5Y1mGIpIKNLpQR91dsPhv3Qy//AF18QJX071XW+wTv3589kiIsFOodVP5y45WXeiBfBvlt/1q8T/9fhRTIgJ41fHbB5nEnqjGYYiEop0etAPn3zfyRl7l9+z/K6e+hvIKT7NMBSRUKSRlh86u2FxuZX/576IAZ3q8+UUn7d7ujTDUERCkUZaN5Bw+wi+v+T5jq1v7Q7++X+2+zTLz5u+TvH1NRIbyGeLyODQLN5bS6HlxW1GsEQb6XbC+XbPwXX+kqPPWX430tcpvr6WcxrIZ4vIwGkW7zW3Krx1etCLDgd82tiFrbObkV6qNNDrR32d4tNkC5HAplm8Pa6Gd+npdo6dv0zp6XYWl1t9nljWHwqtPnR0w2UPAy2jAR5NHNi3iOtnEi5LidByTiJBRF8se9zK8FZo+cnhhNWf/cjxhvZBeT9PDzXTZAuRwKYvlj1uZXjrmtYAXHFCwbEWapZF+PX6vs6Ha7KFSGDbMDmaP1+47Pb/cCh+sbyV4a3QGqCWTm/rwffNl+dmabKFSODSF8setzK8FVoDdHuYwe/X9ndIram1IoFHXyxvbXgrtAYoLcb/4W9/htSaWisigexWhfegTMTYunUrsbGxbj/33Xefa7vT6WTr1q1MmDCBsWPHMn/+fL755hu39+js7KSwsJCUlBQSEhJYsWIF9fX1g7F7N5UD/0da/Zlooam1IiKDOHvQYrFQW1vr+vn8889d24qLiykpKWH79u188sknmEwmHn/8cez2a39wi4qKOHToEPv37+fw4cPY7XaWL1+OwxHYU0cHcqGxrynvP3X6R8/3O3zrpV1EZDgatNODYWFhmM3mXu1Op5Pdu3fzwgsvsGjRIgB2796NxWKhrKyMvLw8WlpaePvttykpKWHWrFkA7N27l4yMDI4ePcqcOXMGazcH1fWjIk/XnIAbXofydUh9ocPTpHho8tIuIjIcDVpofffdd0ycOJHw8HCmTp3Kxo0bufvuuzlz5gyNjY3Mnj3b1TciIoLp06dTVVVFXl4eJ0+epKury61PYmIiaWlpVFVVBWRoGQ2w4WeRrgDydM2psrETnE7OXboWLH1dh/I22WJMxAjOtvYedZojdKudiISOQQmtqVOn8sYbb2CxWGhububVV19l7ty5nDhxgsbGRgBMJpPba0wmEw0NDQA0NTVhNBqJj4/v1aepqemGn11XV9fPvY2AAVyHusrhhL87ZiO+rZG7Ipy8XBvOt3b3IDrX1ns6/Ld2B2s/ree3ab1P69W3G/i7r0dxruNaEFV+38Y/pXcymjCgd9DFc8mPGgyOofrcYKe6+Ud1818w1c5isdxw+6CE1iOPPOL276lTp5KZmckf/vAHfv7znwNgMLgHhdPp7NV2PV/69HWAvRwbvMkd7d0jePeHO9n3wJ20/q8LwGWfXtdmjMRiMfVq3/HpRc51uK+wca6j5zO2PxxN7XUjuXuijWx/eMyQzB6sq6vrf+1FdfOT6ua/4Va7m3JuKSoqigkTJnD69GnXda7rR0zNzc2u0deYMWNwOBxYrVavfQLV1XuqvE1f98Tb5I0b3bfVn0kbN+Lt+VwiIsHgpoRWR0cHdXV1mM1mkpOTMZvNVFRUuG2vrKwkOzsbgMzMTMLDw9361NfXU1tb6+pzq4X7eAbxagB5mr6eGDmCxNvd3+hGd4n3dd/W1Ukbh3JNrkeT9MetXIlZRORmGJTTgxs2bODRRx8lMTHRdU3r0qVLPPXUUxgMBgoKCti1axcWi4XU1FR27txJZGQkS5cuBSAmJoaVK1eyceNGTCYTcXFxrF+/nvT0dGbOnDkYu9hvXT5MyvtpACVHh/NPD8ZQcKyFls5uYkaNYPdfxZAYFebzXeI3eykUX5aNEhEJZIMSWt9//z2rVq3CarUyevRopk6dyn/8x3+QlJQEwPPPP097ezuFhYXYbDamTJnCgQMHiI6+9sd4y5YtGI1G8vLy6OjoYMaMGezZswejMbBWSzYAU0aHcc8d4a4wefbTi5z+sYv/YbtC25Wefi1dDv7ueAsfzYv3ORBu9lIoeoyCiAQ7g81mC6kbfWJ/P7CJGIUZt7F+as8sR0/T3K+3LCUiYEYxz356kdLTvR+l4s8+DreLu7eK6uYf1c1/w612usmnn/7b1x2ua0DrTrTcMLAgsEYxej6XiAQ7hVY/dXT3XBs6Y++ioqGzz/6B9DC4wZqBKCIyVLTKux/OX+qZvNDRxyAqEEcxeoyCiAQzhZYfxt5u9DqpYQQwxRTO3dFhet6ViMggU2j1k4Gea0PeHgny6PhR/CFn9K3dKRGREKFrWv007vaekrVe7ua26y5X3RNtZGt2zBDslYhIaNBIqx8MQGSYk+kfXaDtyrU7BW4bAbPvGsXW7BidDsT7SvUiIgOl0PKR0dCzsnvdj71va+vohsjwEfrDjOd71/p6HIuIiK90etAHtxl7AutGzl9yaDFabrxUlIjIQGmk5YMrPtwfHBVmuGkjjGA63aalokTkZlJo+eBKH9sNwOeNl2m5bpXdwViMNthOt/W1Ur2EhmD6oiXBRaHlo9uMeL2Z2Am9AuuqgY4wgm1l9oGsVK8/dMNDsH3RkuCi0PLRrHGjiBo5gn//S4fXgPJkoCOMYDvd5u9K9fpDN3wE2xctCS4KLR8YgG3Teqaze1sp3ZPBWMYpGE+3+bNUlP7QDR/B9kVLgotmD/rg9jBc3/Y9rZR+PdNtIwZtMdpQWZldf+iGj2D8oiXBQyMtH8T/ZOmLq6e/Fhyxcra19x/UyDD4+LHRg3ZK62Y/GDJQ6A/d8HGzn8AtoU2h1QejAXb/lfvSTMnR4SRFGT2G1sTYsEEPlFBYmV1/6IaPUPmiJUNDodWH0SMhMap3mbyNDO65Q/9j+kN/6IaXUPiiJUNDodWHxk48TgbQyGDw6Q+diPRFoeUDT5MBNDIQEbn1FFo+iAozeGzXyEBE5NYKyCnvb775Jg888ABms5mHH36Yzz//fEj35+JlTbsWEQkEARdaBw4cYN26dfz617/mT3/6E1lZWSxbtoy//OUvQ7ZPXzRdCckV20VEAk3AhVZJSQm/+MUv+Ju/+RvS0tJ49dVXMZvNvPXWW0O2T92gR2uIiASAgAqty5cvc/LkSWbPnu3WPnv2bKqqqoZor3poZQYRkaEXUBMxrFYrDocDk8nk1m4ymWhqavL4mrq6un5+SgQ9qwn2dmdYN/YrBro8bI90tFFXZ+vnZw1v/a+9gOrmL9XNf8FUO4vFcsPtARVaVxkM7qHhdDp7tV3V1wH2cqze66aKxWM513qFJz/+gbYr11ZyvyfayPaHx2g6+0/U1dX1v/aiuvlJdfPfcKtdQIVWfHw8RqOx16iqubm51+jLX/feBv+7w3N7cnQ4ydHhfL44TPdfiYgEoIC6pjVy5EgyMzOpqKhwa6+oqCA7O3tQPuM/n7qLe2+7+q+e0dS9t/W0X3X1/qtDuSb2PXynAktEJEAE1EgL4Fe/+hWrV69mypQpZGdn89Zbb3H+/Hny8vIG7TOuBtRwGzaLiAx3ARdaS5Ys4eLFi7z66qs0NjYyceJEPvjgA5KSkoZ610REZIgFXGgBrFq1ilWrVg31boiISIAJqGtaIiIiN6LQEhGRoGGw2WzOvruJiIgMPY20REQkaCi0REQkaCi0REQkaCi0REQkaCi0REQkaCi0REQkaIRsaL355ps88MADmM1mHn74YT7//POh3qWAsnXrVmJjY91+7rvvPtd2p9PJ1q1bmTBhAmPHjmX+/Pl88803Q7jHQ+P48eOsWLGCiRMnEhsby7vvvuu23Zc6dXZ2UlhYSEpKCgkJCaxYsYL6eu+P0Bku+qpdQUFBr9/BnJwctz6hVrvXXnuNWbNmMX78eO69916WL1/OqVOn3PoM99+5kAytAwcOsG7dOn7961/zpz/9iaysLJYtW8Zf/vKXod61gGKxWKitrXX9/DTYi4uLKSkpYfv27XzyySeYTCYef/xx7Hb7EO7xrdfW1sakSZPYtm0bERERvbb7UqeioiIOHTrE/v37OXz4MHa7neXLl+NwDO+nZfdVO4CZM2e6/Q6Wlpa6bQ+12h07doxnnnmG8vJyDh48SFhYGIsXL+aHH35w9Rnuv3MheXPxnDlzSE9P5x//8R9dbZMnT2bRokW88sorQ7hngWPr1q0cPHiQysrKXtucTicTJkzg2Wef5cUXXwSgvb0di8XCb3/720FdkT+Y3HXXXezYsYOnn34a8K1OLS0tpKamUlJSwpNPPgnAuXPnyMjIoKysjDlz5gzZ8dxK19cOekZaFy9e5P333/f4GtUOWltbSUpK4t133yU3NzckfudCbqR1+fJlTp48yezZs93aZ8+eTVVV1RDtVWD67rvvmDhxIg888AC//OUv+e677wA4c+YMjY2NbjWMiIhg+vTpquFP+FKnkydP0tXV5dYnMTGRtLQ01RKorKwkNTWVKVOm8Nxzz3HhwgXXNtWuJ7S6u7uJjY0FQuN3LiBXeb+ZrFYrDoej15OQTSZTrycmh7KpU6fyxhtvYLFYaG5u5tVXX2Xu3LmcOHGCxsZGAI81bGhoGIrdDUi+1KmpqQmj0Uh8fHyvPqH++5iTk8OCBQtITk7m7NmzbN68mYULF3L06FFGjRql2gHr1q0jIyODrKwsIDR+50IutK4yGAxu/3Y6nb3aQtkjjzzi9u+pU6eSmZnJH/7wB37+858DqqGv/KmTaglPPPGE67/T09PJzMwkIyOD8vJyFi5c6PV1oVK7l156iRMnTnDkyBGMRqPbtuH8Oxdypwfj4+MxGo29vlE0Nzf3+nYi10RFRTFhwgROnz6N2WwGUA374EudxowZg8PhwGq1eu0jPcaNG0dCQgKnT58GQrt2RUVFfPjhhxw8eJC7777b1R4Kv3MhF1ojR44kMzOTiooKt/aKigqys7OHaK8CX0dHB3V1dZjNZpKTkzGbzW417OjooLKyUjX8CV/qlJmZSXh4uFuf+vp6amtrVcvrWK1WGhoaXH+YQ7V2a9eupaysjIMHD7rdhgKh8TsXkqcHf/WrX7F69WqmTJlCdnY2b731FufPnw/ZWW+ebNiwgUcffZTExETXNa1Lly7x1FNPYTAYKCgoYNeuXVgsFlJTU9m5cyeRkZEsXbp0qHf9lmptbXV98+/u7ubcuXPU1NQQFxfH+PHj+6xTTEwMK1euZOPGjZhMJuLi4li/fj3p6enMnDlzCI/s5rtR7eLi4ti2bRsLFy7EbDZz9uxZNm3ahMlk4rHHHgNCs3Yvvvgi77//Pu+88w6xsbGua1iRkZFERUX59P9msNctJKe8Q8/NxcXFxTQ2NjJx4kS2bNnCgw8+ONS7FTB++ctf8vnnn2O1Whk9ejRTp05l/fr1TJgwAeg5/71t2zb++Z//GZvNxpQpU9i5cyeTJk0a4j2/tT777DMWLFjQq/2pp55i9+7dPtWpo6ODl19+mbKyMjo6OpgxYwa7du0iMTHxVh7KLXej2r322ms8/fTT1NTU0NLSgtls5qGHHmL9+vVudQm12l2dJXi9tWvXUlRUBPj2/2Yw1y1kQ0tERIJPyF3TEhGR4KXQEhGRoKHQEhGRoKHQEhGRoKHQEhGRoKHQEhGRoKHQEhGRoKHQEhGRoPF/ALWkf8lHA0jVAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.scatter(df['review_count'],df['number_of_page']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "artistic-valuable",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,6))\n",
    "corr = df.corr()\n",
    "sns.heatmap(corr, mask=np.zeros_like(corr, dtype=np.bool), annot=True,cmap=sns.diverging_palette(220, 10, as_cmap=True),\n",
    "            square=True, ax=ax);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "powered-leadership",
   "metadata": {},
   "source": [
    "### Merge two datasets from two databases\n",
    "\n",
    "We will also do some data cleaning process, such as converting ```first_publish_year``` and ```editions``` columns into pure integer datatype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "modern-farmer",
   "metadata": {},
   "outputs": [],
   "source": [
    "db = client['book']\n",
    "book_info = db['book_info']\n",
    "df_link = pd.DataFrame(book_info.find({},{'_id':False}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "formed-dragon",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1916\n",
      "1916\n"
     ]
    }
   ],
   "source": [
    "# Drop duplicates books\n",
    "print(len(df_link))\n",
    "df_link = df_link.drop_duplicates(subset=['book_title'])\n",
    "print(len(df_link))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "australian-balloon",
   "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>book_title</th>\n",
       "      <th>author_name</th>\n",
       "      <th>avg_rating</th>\n",
       "      <th>rating_count</th>\n",
       "      <th>publish year</th>\n",
       "      <th>edition</th>\n",
       "      <th>link</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Computer Science: An Overview</td>\n",
       "      <td>J. Glenn Brookshear</td>\n",
       "      <td>3.76 avg rating</td>\n",
       "      <td>310 ratings</td>\n",
       "      <td>published 1985</td>\n",
       "      <td>35 editions</td>\n",
       "      <td>https://www.goodreads.com/book/show/533070.Com...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Multiple Choice Questions in Computer Science</td>\n",
       "      <td>Ela Kumar</td>\n",
       "      <td>3.62 avg rating</td>\n",
       "      <td>66 ratings</td>\n",
       "      <td>published 2008</td>\n",
       "      <td>1 edition</td>\n",
       "      <td>https://www.goodreads.com/book/show/8266079-mu...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Cambridge International as and a Level Compute...</td>\n",
       "      <td>Tony Piper</td>\n",
       "      <td>4.29 avg rating</td>\n",
       "      <td>41 ratings</td>\n",
       "      <td>None</td>\n",
       "      <td>1 edition</td>\n",
       "      <td>https://www.goodreads.com/book/show/28131102-c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Algorithms on Strings, Trees and Sequences: Co...</td>\n",
       "      <td>Dan Gusfield</td>\n",
       "      <td>4.09 avg rating</td>\n",
       "      <td>85 ratings</td>\n",
       "      <td>published 1997</td>\n",
       "      <td>4 editions</td>\n",
       "      <td>https://www.goodreads.com/book/show/145058.Alg...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Coding the Matrix: Linear Algebra through Comp...</td>\n",
       "      <td>Philip N. Klein</td>\n",
       "      <td>4.23 avg rating</td>\n",
       "      <td>115 ratings</td>\n",
       "      <td>published 2013</td>\n",
       "      <td>2 editions</td>\n",
       "      <td>https://www.goodreads.com/book/show/18245828-c...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          book_title          author_name  \\\n",
       "0                      Computer Science: An Overview  J. Glenn Brookshear   \n",
       "1      Multiple Choice Questions in Computer Science            Ela Kumar   \n",
       "2  Cambridge International as and a Level Compute...           Tony Piper   \n",
       "3  Algorithms on Strings, Trees and Sequences: Co...         Dan Gusfield   \n",
       "4  Coding the Matrix: Linear Algebra through Comp...      Philip N. Klein   \n",
       "\n",
       "        avg_rating rating_count    publish year      edition  \\\n",
       "0  3.76 avg rating  310 ratings  published 1985  35 editions   \n",
       "1  3.62 avg rating   66 ratings  published 2008    1 edition   \n",
       "2  4.29 avg rating   41 ratings            None    1 edition   \n",
       "3  4.09 avg rating   85 ratings  published 1997   4 editions   \n",
       "4  4.23 avg rating  115 ratings  published 2013   2 editions   \n",
       "\n",
       "                                                link  \n",
       "0  https://www.goodreads.com/book/show/533070.Com...  \n",
       "1  https://www.goodreads.com/book/show/8266079-mu...  \n",
       "2  https://www.goodreads.com/book/show/28131102-c...  \n",
       "3  https://www.goodreads.com/book/show/145058.Alg...  \n",
       "4  https://www.goodreads.com/book/show/18245828-c...  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_link.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "unlike-conducting",
   "metadata": {},
   "outputs": [],
   "source": [
    "total_df = pd.merge(df, df_link, on=['book_title'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "sporting-accused",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\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>book_title</th>\n",
       "      <th>author_name_x</th>\n",
       "      <th>avg_rating_x</th>\n",
       "      <th>rating_count_x</th>\n",
       "      <th>review_count</th>\n",
       "      <th>format</th>\n",
       "      <th>number_of_page</th>\n",
       "      <th>language</th>\n",
       "      <th>ISBN</th>\n",
       "      <th>author_name_y</th>\n",
       "      <th>avg_rating_y</th>\n",
       "      <th>rating_count_y</th>\n",
       "      <th>publish year</th>\n",
       "      <th>edition</th>\n",
       "      <th>link</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Computer Science: An Overview</td>\n",
       "      <td>J. Glenn Brookshear</td>\n",
       "      <td>3.76</td>\n",
       "      <td>310</td>\n",
       "      <td>22</td>\n",
       "      <td>Paperback</td>\n",
       "      <td>599.0</td>\n",
       "      <td>English</td>\n",
       "      <td>ISBN0321387015(ISBN13:9780321387011)</td>\n",
       "      <td>J. Glenn Brookshear</td>\n",
       "      <td>3.76 avg rating</td>\n",
       "      <td>310 ratings</td>\n",
       "      <td>published 1985</td>\n",
       "      <td>35 editions</td>\n",
       "      <td>https://www.goodreads.com/book/show/533070.Com...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Multiple Choice Questions in Computer Science</td>\n",
       "      <td>Ela Kumar</td>\n",
       "      <td>3.62</td>\n",
       "      <td>66</td>\n",
       "      <td>9</td>\n",
       "      <td>Paperback</td>\n",
       "      <td>472.0</td>\n",
       "      <td>None</td>\n",
       "      <td>ISBN819067577X(ISBN13:9788190675772)</td>\n",
       "      <td>Ela Kumar</td>\n",
       "      <td>3.62 avg rating</td>\n",
       "      <td>66 ratings</td>\n",
       "      <td>published 2008</td>\n",
       "      <td>1 edition</td>\n",
       "      <td>https://www.goodreads.com/book/show/8266079-mu...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Cambridge International as and a Level Compute...</td>\n",
       "      <td>Tony Piper</td>\n",
       "      <td>4.29</td>\n",
       "      <td>41</td>\n",
       "      <td>4</td>\n",
       "      <td>Paperback</td>\n",
       "      <td>328.0</td>\n",
       "      <td>None</td>\n",
       "      <td>ISBN1107547547(ISBN13:9781107547544)</td>\n",
       "      <td>Tony Piper</td>\n",
       "      <td>4.29 avg rating</td>\n",
       "      <td>41 ratings</td>\n",
       "      <td>None</td>\n",
       "      <td>1 edition</td>\n",
       "      <td>https://www.goodreads.com/book/show/28131102-c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Algorithms on Strings, Trees and Sequences: Co...</td>\n",
       "      <td>Dan Gusfield</td>\n",
       "      <td>4.09</td>\n",
       "      <td>85</td>\n",
       "      <td>4</td>\n",
       "      <td>Hardcover</td>\n",
       "      <td>556.0</td>\n",
       "      <td>English</td>\n",
       "      <td>ISBN0521585198(ISBN13:9780521585194)</td>\n",
       "      <td>Dan Gusfield</td>\n",
       "      <td>4.09 avg rating</td>\n",
       "      <td>85 ratings</td>\n",
       "      <td>published 1997</td>\n",
       "      <td>4 editions</td>\n",
       "      <td>https://www.goodreads.com/book/show/145058.Alg...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Coding the Matrix: Linear Algebra through Comp...</td>\n",
       "      <td>Philip N. Klein</td>\n",
       "      <td>4.23</td>\n",
       "      <td>115</td>\n",
       "      <td>5</td>\n",
       "      <td>Paperback</td>\n",
       "      <td>528.0</td>\n",
       "      <td>English</td>\n",
       "      <td>ISBN061585673X(ISBN13:9780615856735)</td>\n",
       "      <td>Philip N. Klein</td>\n",
       "      <td>4.23 avg rating</td>\n",
       "      <td>115 ratings</td>\n",
       "      <td>published 2013</td>\n",
       "      <td>2 editions</td>\n",
       "      <td>https://www.goodreads.com/book/show/18245828-c...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          book_title        author_name_x  \\\n",
       "0                      Computer Science: An Overview  J. Glenn Brookshear   \n",
       "1      Multiple Choice Questions in Computer Science            Ela Kumar   \n",
       "2  Cambridge International as and a Level Compute...           Tony Piper   \n",
       "3  Algorithms on Strings, Trees and Sequences: Co...         Dan Gusfield   \n",
       "4  Coding the Matrix: Linear Algebra through Comp...      Philip N. Klein   \n",
       "\n",
       "   avg_rating_x  rating_count_x  review_count     format  number_of_page  \\\n",
       "0          3.76             310            22  Paperback           599.0   \n",
       "1          3.62              66             9  Paperback           472.0   \n",
       "2          4.29              41             4  Paperback           328.0   \n",
       "3          4.09              85             4  Hardcover           556.0   \n",
       "4          4.23             115             5  Paperback           528.0   \n",
       "\n",
       "  language                                  ISBN        author_name_y  \\\n",
       "0  English  ISBN0321387015(ISBN13:9780321387011)  J. Glenn Brookshear   \n",
       "1     None  ISBN819067577X(ISBN13:9788190675772)            Ela Kumar   \n",
       "2     None  ISBN1107547547(ISBN13:9781107547544)           Tony Piper   \n",
       "3  English  ISBN0521585198(ISBN13:9780521585194)         Dan Gusfield   \n",
       "4  English  ISBN061585673X(ISBN13:9780615856735)      Philip N. Klein   \n",
       "\n",
       "      avg_rating_y rating_count_y    publish year      edition  \\\n",
       "0  3.76 avg rating    310 ratings  published 1985  35 editions   \n",
       "1  3.62 avg rating     66 ratings  published 2008    1 edition   \n",
       "2  4.29 avg rating     41 ratings            None    1 edition   \n",
       "3  4.09 avg rating     85 ratings  published 1997   4 editions   \n",
       "4  4.23 avg rating    115 ratings  published 2013   2 editions   \n",
       "\n",
       "                                                link  \n",
       "0  https://www.goodreads.com/book/show/533070.Com...  \n",
       "1  https://www.goodreads.com/book/show/8266079-mu...  \n",
       "2  https://www.goodreads.com/book/show/28131102-c...  \n",
       "3  https://www.goodreads.com/book/show/145058.Alg...  \n",
       "4  https://www.goodreads.com/book/show/18245828-c...  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "cloudy-technique",
   "metadata": {},
   "outputs": [],
   "source": [
    "# drop columns \n",
    "total_df = total_df.drop(columns=['author_name_y','avg_rating_y','rating_count_y'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "tamil-scotland",
   "metadata": {},
   "outputs": [],
   "source": [
    "publish_year = []\n",
    "for x in total_df['publish year']:\n",
    "    if x == None:\n",
    "        publish_year.append(None)\n",
    "    else:\n",
    "        publish_year.append(int((x.replace('published ', ''))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "known-summer",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1985, 2008, None, 1997, 2013]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "publish_year[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "weekly-frequency",
   "metadata": {},
   "outputs": [],
   "source": [
    "def replace_all(text, dic):\n",
    "    for i, j in dic.items():\n",
    "        text = text.replace(i, j)\n",
    "    return text\n",
    "\n",
    "editions = []\n",
    "d = { \" editions\": \"\", \" edition\": \"\"}\n",
    "for x in total_df['edition']:\n",
    "    if x == None:\n",
    "        editions.append(None)\n",
    "    else:\n",
    "        editions.append(int(replace_all(x,d)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "measured-lyric",
   "metadata": {},
   "outputs": [],
   "source": [
    "total_df['first_publish_year'] = publish_year\n",
    "total_df['editions'] = editions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "stupid-introduction",
   "metadata": {},
   "outputs": [],
   "source": [
    "total_df['first_publish_year'] = total_df.first_publish_year.astype('Int64')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "laden-doctor",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1614 entries, 0 to 1613\n",
      "Data columns (total 14 columns):\n",
      " #   Column              Non-Null Count  Dtype  \n",
      "---  ------              --------------  -----  \n",
      " 0   book_title          1614 non-null   object \n",
      " 1   author_name_x       1614 non-null   object \n",
      " 2   avg_rating_x        1614 non-null   float64\n",
      " 3   rating_count_x      1614 non-null   int64  \n",
      " 4   review_count        1614 non-null   int64  \n",
      " 5   format              1568 non-null   object \n",
      " 6   number_of_page      1313 non-null   float64\n",
      " 7   language            815 non-null    object \n",
      " 8   ISBN                1614 non-null   object \n",
      " 9   publish year        887 non-null    object \n",
      " 10  edition             1614 non-null   object \n",
      " 11  link                1614 non-null   object \n",
      " 12  first_publish_year  887 non-null    Int64  \n",
      " 13  editions            1614 non-null   int64  \n",
      "dtypes: Int64(1), float64(2), int64(3), object(8)\n",
      "memory usage: 190.7+ KB\n"
     ]
    }
   ],
   "source": [
    "total_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "framed-review",
   "metadata": {},
   "outputs": [],
   "source": [
    "total_df = total_df.drop(columns=['edition','publish year'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "exposed-burlington",
   "metadata": {},
   "outputs": [],
   "source": [
    "total_df = total_df.rename(columns={'author_name_x': 'author',\n",
    "                              'avg_rating_x': 'average_rating',\n",
    "                              'rating_count_x':'rating_count'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "forbidden-renewal",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1614 entries, 0 to 1613\n",
      "Data columns (total 12 columns):\n",
      " #   Column              Non-Null Count  Dtype  \n",
      "---  ------              --------------  -----  \n",
      " 0   book_title          1614 non-null   object \n",
      " 1   author              1614 non-null   object \n",
      " 2   average_rating      1614 non-null   float64\n",
      " 3   rating_count        1614 non-null   int64  \n",
      " 4   review_count        1614 non-null   int64  \n",
      " 5   format              1568 non-null   object \n",
      " 6   number_of_page      1313 non-null   float64\n",
      " 7   language            815 non-null    object \n",
      " 8   ISBN                1614 non-null   object \n",
      " 9   link                1614 non-null   object \n",
      " 10  first_publish_year  887 non-null    Int64  \n",
      " 11  editions            1614 non-null   int64  \n",
      "dtypes: Int64(1), float64(2), int64(3), object(6)\n",
      "memory usage: 165.5+ KB\n"
     ]
    }
   ],
   "source": [
    "total_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "informal-speaker",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>book_title</th>\n",
       "      <th>author</th>\n",
       "      <th>average_rating</th>\n",
       "      <th>rating_count</th>\n",
       "      <th>review_count</th>\n",
       "      <th>number_of_page</th>\n",
       "      <th>first_publish_year</th>\n",
       "      <th>editions</th>\n",
       "      <th>format</th>\n",
       "      <th>language</th>\n",
       "      <th>ISBN</th>\n",
       "      <th>link</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Computer Science: An Overview</td>\n",
       "      <td>J. Glenn Brookshear</td>\n",
       "      <td>3.76</td>\n",
       "      <td>310</td>\n",
       "      <td>22</td>\n",
       "      <td>599</td>\n",
       "      <td>1985</td>\n",
       "      <td>35</td>\n",
       "      <td>Paperback</td>\n",
       "      <td>English</td>\n",
       "      <td>ISBN0321387015(ISBN13:9780321387011)</td>\n",
       "      <td>https://www.goodreads.com/book/show/533070.Com...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Multiple Choice Questions in Computer Science</td>\n",
       "      <td>Ela Kumar</td>\n",
       "      <td>3.62</td>\n",
       "      <td>66</td>\n",
       "      <td>9</td>\n",
       "      <td>472</td>\n",
       "      <td>2008</td>\n",
       "      <td>1</td>\n",
       "      <td>Paperback</td>\n",
       "      <td>None</td>\n",
       "      <td>ISBN819067577X(ISBN13:9788190675772)</td>\n",
       "      <td>https://www.goodreads.com/book/show/8266079-mu...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Cambridge International as and a Level Compute...</td>\n",
       "      <td>Tony Piper</td>\n",
       "      <td>4.29</td>\n",
       "      <td>41</td>\n",
       "      <td>4</td>\n",
       "      <td>328</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>1</td>\n",
       "      <td>Paperback</td>\n",
       "      <td>None</td>\n",
       "      <td>ISBN1107547547(ISBN13:9781107547544)</td>\n",
       "      <td>https://www.goodreads.com/book/show/28131102-c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Algorithms on Strings, Trees and Sequences: Co...</td>\n",
       "      <td>Dan Gusfield</td>\n",
       "      <td>4.09</td>\n",
       "      <td>85</td>\n",
       "      <td>4</td>\n",
       "      <td>556</td>\n",
       "      <td>1997</td>\n",
       "      <td>4</td>\n",
       "      <td>Hardcover</td>\n",
       "      <td>English</td>\n",
       "      <td>ISBN0521585198(ISBN13:9780521585194)</td>\n",
       "      <td>https://www.goodreads.com/book/show/145058.Alg...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Coding the Matrix: Linear Algebra through Comp...</td>\n",
       "      <td>Philip N. Klein</td>\n",
       "      <td>4.23</td>\n",
       "      <td>115</td>\n",
       "      <td>5</td>\n",
       "      <td>528</td>\n",
       "      <td>2013</td>\n",
       "      <td>2</td>\n",
       "      <td>Paperback</td>\n",
       "      <td>English</td>\n",
       "      <td>ISBN061585673X(ISBN13:9780615856735)</td>\n",
       "      <td>https://www.goodreads.com/book/show/18245828-c...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          book_title               author  \\\n",
       "0                      Computer Science: An Overview  J. Glenn Brookshear   \n",
       "1      Multiple Choice Questions in Computer Science            Ela Kumar   \n",
       "2  Cambridge International as and a Level Compute...           Tony Piper   \n",
       "3  Algorithms on Strings, Trees and Sequences: Co...         Dan Gusfield   \n",
       "4  Coding the Matrix: Linear Algebra through Comp...      Philip N. Klein   \n",
       "\n",
       "   average_rating  rating_count  review_count  number_of_page  \\\n",
       "0            3.76           310            22             599   \n",
       "1            3.62            66             9             472   \n",
       "2            4.29            41             4             328   \n",
       "3            4.09            85             4             556   \n",
       "4            4.23           115             5             528   \n",
       "\n",
       "   first_publish_year  editions     format language  \\\n",
       "0                1985        35  Paperback  English   \n",
       "1                2008         1  Paperback     None   \n",
       "2                <NA>         1  Paperback     None   \n",
       "3                1997         4  Hardcover  English   \n",
       "4                2013         2  Paperback  English   \n",
       "\n",
       "                                   ISBN  \\\n",
       "0  ISBN0321387015(ISBN13:9780321387011)   \n",
       "1  ISBN819067577X(ISBN13:9788190675772)   \n",
       "2  ISBN1107547547(ISBN13:9781107547544)   \n",
       "3  ISBN0521585198(ISBN13:9780521585194)   \n",
       "4  ISBN061585673X(ISBN13:9780615856735)   \n",
       "\n",
       "                                                link  \n",
       "0  https://www.goodreads.com/book/show/533070.Com...  \n",
       "1  https://www.goodreads.com/book/show/8266079-mu...  \n",
       "2  https://www.goodreads.com/book/show/28131102-c...  \n",
       "3  https://www.goodreads.com/book/show/145058.Alg...  \n",
       "4  https://www.goodreads.com/book/show/18245828-c...  "
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_df['number_of_page'] = total_df.number_of_page.astype('Int64')\n",
    "column_names = ['book_title','author','average_rating','rating_count','review_count', 'number_of_page',\n",
    "                'first_publish_year','editions','format', 'language','ISBN','link']\n",
    "total_df = total_df.reindex(columns=column_names)\n",
    "total_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "returning-amendment",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1614, 12)"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# after the data cleaning process, we have 1614 books\n",
    "total_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "imperial-membership",
   "metadata": {},
   "outputs": [],
   "source": [
    "# to CSV file\n",
    "total_df.to_csv('total_df.csv', index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "above-contest",
   "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>average_rating</th>\n",
       "      <th>rating_count</th>\n",
       "      <th>review_count</th>\n",
       "      <th>number_of_page</th>\n",
       "      <th>first_publish_year</th>\n",
       "      <th>editions</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1614.000000</td>\n",
       "      <td>1614.000000</td>\n",
       "      <td>1614.000000</td>\n",
       "      <td>1313.000000</td>\n",
       "      <td>887.000000</td>\n",
       "      <td>1614.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.050638</td>\n",
       "      <td>10.614002</td>\n",
       "      <td>1.005576</td>\n",
       "      <td>406.085301</td>\n",
       "      <td>2000.298760</td>\n",
       "      <td>1.919455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.027315</td>\n",
       "      <td>62.473933</td>\n",
       "      <td>7.969523</td>\n",
       "      <td>317.293536</td>\n",
       "      <td>13.650996</td>\n",
       "      <td>2.746528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1753.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>198.000000</td>\n",
       "      <td>1994.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2.165000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>351.000000</td>\n",
       "      <td>2002.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>528.000000</td>\n",
       "      <td>2009.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>965.000000</td>\n",
       "      <td>198.000000</td>\n",
       "      <td>3348.000000</td>\n",
       "      <td>2017.000000</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       average_rating  rating_count  review_count  number_of_page  \\\n",
       "count     1614.000000   1614.000000   1614.000000     1313.000000   \n",
       "mean         2.050638     10.614002      1.005576      406.085301   \n",
       "std          2.027315     62.473933      7.969523      317.293536   \n",
       "min          0.000000      0.000000      0.000000        0.000000   \n",
       "25%          0.000000      0.000000      0.000000      198.000000   \n",
       "50%          2.165000      1.000000      0.000000      351.000000   \n",
       "75%          4.000000      2.000000      0.000000      528.000000   \n",
       "max          5.000000    965.000000    198.000000     3348.000000   \n",
       "\n",
       "       first_publish_year     editions  \n",
       "count          887.000000  1614.000000  \n",
       "mean          2000.298760     1.919455  \n",
       "std             13.650996     2.746528  \n",
       "min           1753.000000     1.000000  \n",
       "25%           1994.000000     1.000000  \n",
       "50%           2002.000000     1.000000  \n",
       "75%           2009.000000     2.000000  \n",
       "max           2017.000000    50.000000  "
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "divided-newark",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1440x720 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "total_df.hist(figsize=(20,10), grid=False)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "interracial-mathematics",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 36 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.plotting.scatter_matrix(total_df,figsize=(20,20));"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "explicit-graphic",
   "metadata": {},
   "source": [
    "### Data is not normalize, we want to do a log transformation and see if that helps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "noticed-express",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[   1.            1.33352143    1.77827941    2.37137371    3.16227766\n",
      "    4.21696503    5.62341325    7.49894209   10.           13.33521432\n",
      "   17.7827941    23.71373706   31.6227766    42.16965034   56.23413252\n",
      "   74.98942093  100.          133.35214322  177.827941    237.13737057\n",
      "  316.22776602  421.69650343  562.34132519  749.89420933 1000.        ]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.logspace(0,3,25)\n",
    "fix, ax = plt.subplots()\n",
    "ax.hist(total_df['review_count'], bins=bins)\n",
    "ax.set_xscale('log')\n",
    "print(bins)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "threatened-airport",
   "metadata": {},
   "source": [
    "### Statistical Tests\n",
    "\n",
    "We will split the population using the mean of number of pages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "differential-probe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "406.08530083777606"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(total_df['number_of_page'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "superb-success",
   "metadata": {},
   "outputs": [],
   "source": [
    "greater = total_df[total_df['number_of_page'] >= np.mean(total_df['number_of_page'])]\n",
    "less = total_df[total_df['number_of_page'] < np.mean(total_df['number_of_page'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "satisfactory-silly",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "greater.hist(figsize=(20,10), grid=False);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "postal-ivory",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VqVLFXmGVWU888YQeffRRGY1Ge4cCAAAAFMuiRYt06dKlmzqHeS+AuwEJR8BOzp49K0lydXW1Km/UqJE9winzatasqZo1a9o7DAAAAKDY3N3db/oc5r0A7gbcUg2UsPx9GpOSkiRJzZo1k8FgsOzNUtgejvnnrFy5Ups3b1b37t3l7u4uDw8PS53169frqaeekre3t1xdXeXt7a1u3bopOjraUsdgMGj37t0F3vf6/Q5vph0rV67Uli1b1LVrV9WpU0f169fXiy++qP/7v/8rcM5f7UGTlJT0l7eGmM1m/f3vf7dcrfX19dWkSZOUlZVVrHhvtJfNt99+q8GDB8vPz09Go1ENGjRQmzZtNHbsWGVmZhb6WocOHVK/fv1Ur1491a5dWz169NC+ffuKFcf1tm7dKoPBoJEjRxZ6PC8vTw899JBq164tk8lkdezzzz9Xz549Vb9+fbm6uqpFixZ666239NtvvxV4nV27dunVV19Vy5Yt5e7urlq1aqlVq1aaMWNGoVfNi/NvDgAAANLBgwf10ksvycfHRy4uLvL29tawYcN08uTJAnVPnjypF154QR4eHqpTp46CgoK0ZcuWG7729fPnsLAwjRo1SpI0a9Ysy3z+z98v/moPx2+//VYvvPCCvLy85OLiIl9fX40aNUqnTp0qUPfP88Fdu3YpODhYbm5ucnd31zPPPKNjx44VOCctLU2TJk3SI488ojp16sjd3V0tWrTQkCFDdPjw4aK6EkAZwgpHoITl79O4atUqnT59WiNGjCj2FcjPPvtM27dvV1BQkEJDQ5WWliZJWrJkicaOHStXV1d169ZNLi4uysjI0PHjx/Xhhx9q7NixkqSIiIhC3/d2roCuX79eX375pZ588km1b99ehw4d0meffaakpCRt27ZNDRs2vOXX/rMJEyZo79696tWrl2rUqKEvvvhCMTEx2rdvnzZt2qTKlSvf9GseOnRIQUFBcnBwUPfu3fXggw8qOztbP/30k1atWqVRo0YV6JuDBw9qwYIFCggI0KBBg3TmzBklJCSoZ8+e2rVrl7y9vW8qhq5du6p+/fr65z//qRkzZhRIyG7btk1nzpzRs88+a3Vs7NixWrJkierWrasnnnhCBoNBX3/9tebNm6dt27Zp69atql69uqX+/Pnz9cMPPyggIEDdunVTTk6O9u3bp9mzZyspKUnr169XhQoFPxJu9G8OAAAA0po1azRy5EhVqlRJPXr0UN26dXXy5EmtXbtWW7Zs0YYNG9S0aVNJ0n//+//au/e4LMr8/+NvuhXzDOItHgBNAU3SMFQ85Nksl/JsYh420lQ0y9pYJQvTSvLUZoXnQ+Zhy5RSCyVdUVEQW9Ms9WsWasEaJAoLJkpw//7wx2y3qJEOIPB6Ph48HnLN55655nPfzH35mZlrftBDDz2k8+fPq2fPnmrZsqVOnTql4cOHq2fPnoXaXkBAgDIyMhQVFaWOHTvazQHv4eFx09du27ZNI0eOVF5enh577DHdc889Onr0qNauXavPPvtMmzdv1v3331/gddHR0dq6dat69uypoKAgnThxQl988YW++uorJSQkqHbt2pKkX3/9Vb169dKZM2fUpUsXPfLII5Kk5ORk7dq1S507d76lCx0AlE4UHIFi1qlTJ3Xq1El79+7VTz/9pODg4EJfNbZjxw59/PHHBQYkq1atkqOjo2JjYwvM1ZKWlmb8OzQ09Ja2ezPbtm3TRx99pIcffthoe/fdd/XKK68oJCREkZGRt70NSUpISFBsbKxxW0lYWJhGjBihqKgoRURE6IUXXvjT6/zwww91+fJlrV69Wo899pjdsszMTDk6OhZ4TXR0tBYvXqwhQ4YYbStXrtTzzz+vxYsX66233vpTfbjrrrv01FNPKSwsTP/85z8VHBxst3zlypWSpFGjRhltH330kZYvX65HH31US5cutZvzc86cOXrjjTcUHh6umTNnGu3z5s1Tw4YN5eDgYLf+GTNm6K233tKmTZs0cODAAv270WcOAACgvEtMTNTEiRPl5uamqKgo1a9f31gWGxurfv366ZlnntGePXskSS+++KLOnz+v1157TRMnTjRio6Oj7caWN/Poo48aBccHH3xQoaGhhXpdVlaWxo8fr5ycHG3atEmdO3c2ln3wwQd69tlnNW7cOMXFxRUYL37++ef69NNP1alTJ6Nt+vTp+sc//qE1a9Zo0qRJkqRdu3bpzJkzGjt2rGbNmmW3jtzc3ELfmQSgbOCWaqAU6d2793ULP3fddZcqVKhw3QKZi4tLkfapc+fOdsVG6eqtHm5ubtq5c6f+85//mLKdcePG2c1hY7FYNH36dDk4OGjNmjW3tM677rp6CKxSpUqBZdWrV7/uVZPt27cvMCAcPny4KlSooK+++uqW+jF8+HDdfffdev/99+3ak5KStGPHDrVs2VJ+fn5G+4IFC2SxWPTuu+8WeMDQCy+8IBcXF61fv96uvVGjRgUGj5L0zDPPSJJ27tx53b7d6DMHAABQ3i1fvlyXL1/WzJkz7YqN0tWLDHr37q0jR47o+PHjSk5OVkxMjNzc3AqcYH744YftinlFISoqSufPn1ffvn3tio2SNHLkSPn6+ur48eM6cOBAgdcOGjSoQP+efPJJSbIb/95sbG2xWG44tRKAsokrHIFSpHXr1tdtf/zxx/XSSy/J399f/fv3V4cOHeTv76+6desWeZ86duxYoK1ChQry9/dXUlKSjhw5UmAAZtZ2vLy8VKdOHSUmJiozM9PuFuLCGDhwoBYtWqRhw4apT58+6ty5s9q2bXvTB/f4+voWaKtYsaLq1KlTYI7FwqpVq5YGDBigdevWae/evcatMatWrVJubq7d1Y2XLl3SkSNH5OzsrEWLFl13fY6Ojjp79qzOnz+vWrVqSZIuXryoRYsWacuWLfrhhx+UlZUlm81mvCb/IUbXutFnDgAAoLxLSEiQJMXFxenrr78usPyXX36RJH333XfGhQHt2rW77jQ2HTt2NOZgLAr5/bu22JivS5cuOnz4sL7++mv5+/vbLbve+LdBgwaSZDf+7dixo9zc3PT222/r0KFD6tWrl/z9/XX//fdfd58BlG381QOlyLVPtM43fvx4Wa1WLV++XMuWLdPixYslSW3atFFYWFiRnjG9UZ+sVqskXfcBJmZvJyUl5ZYKjq1atVJ0dLTmzp2rzz77zLgq0MPDQ5MmTdJTTz1V4DU1atS47rosFotyc3P/1PZ/7+mnn9a6deu0cuVKPfjgg/rtt9+0Zs0a1ahRQ4MGDTLiLly4IJvNpvPnzxe4VeVaWVlZqlWrlnJyctSnTx8dPHhQzZs314ABA1S7dm1j4Ddr1ixdvnz5uuu4Ud4BAADKu/Pnz0uS3nvvvZvGXbx4UdnZ2ZL+N0a+VlGPufLH5DfaTv60TNcbu19v/Js/jvz9+Ld69eravn27Zs2apaioKO3atUvS1fnihw8frqlTp1736kcAZRMFR6AUud4tsfkGDx6swYMH67///a++/PJLbdu2TatWrdLgwYO1d+9eeXp6FkmfUlNTr9uef0b39wOU/NssfvvttwJnOW/0ROjfb8fLy+uG2/mzxcZ8fn5++uc//6krV67oyJEj2rlzp5YuXaoXXnhBVapUUWBg4C2t989q1aqV/Pz8tGXLFp07d07x8fE6e/asRo8erapVqxpx+fls3ry54uLiCrXuqKgoHTx4UEOHDtXChQvtlv388883LVze7DMHAABQnuWPy06dOiVnZ+ebxm7dulXS/8au17rRmNos+X290XbyHwx4o5PrhVWvXj29/fbb+sc//qHvvvtO+/bt04oVKxQREaGMjIw/LM4CKDuYwxEoY2rUqKEePXpozpw5euaZZ5Sdna0dO3YYyy0WiyQpLy/PlO3t27evQNtvv/1m3GKS/1Q+Sca8LUlJSQVec+jQoT+9nZMnTyo1NVWNGze+5YJjPkdHR7Vu3Vp///vfjStEP/vss9ta5581evRoXblyRWvWrDEeFhMUFGQXU61aNTVv3lwnT560eyDQzSQmJkqS+vTpU2DZ9fIKAACAP9amTRtJKtRJ4PwxcUJCgn777bcCy//MmCx/PP9n7q7Jf/r0jW7bzn+wzfVun74VDg4Oatq0qZ566ilt3bpVlSpVKvaxNYCSRcERKAO2b9+unJycAu35Zyrvvvtuoy3/ITI//fSTKdves2ePoqOj7doWLlyopKQkdevWzW7+xvxB2YoVK+zijxw5csP5CPMtWrTIrs+5ubmaNm2abDabhg0bdkt9j4uLu+68i9fLW3EYMGCAatWqpYULFyomJkbt2rWTj49PgbgJEyYoJydH48eP14ULFwosz8zM1L///W/jdw8PD0kFB5inT5/WtGnTTN4LAACA8mHMmDFydHTUyy+/rO+++67A8tzcXGP81aBBA3Xr1k0//fRTgTtOoqOj/9T8jfnj+eudxL+RgIAA1apVS5s2bSpQ3Fy7dq0OHTqke++91xiv34pjx47p9OnTBdrPnz+vnJycYh9bAyhZ3FINlAGjRo2So6Oj2rdvLw8PDzk4OOjgwYOKj49Xo0aN1K9fPyO2W7du+uSTT/Tcc8+pb9++qlq1qmrWrKkxY8bc0rZ79+5tPHSlUaNGOnLkiHbs2KFatWpp7ty5drHDhg3Te++9p3feeUdHjx6Vj4+PTp8+ra1bt6pPnz7auHHjDbfTrl07derUSf3791eNGjW0fft2HTt2TA888IDxpOU/67333tPOnTv14IMPqlGjRqpevbq+//57RUdHq3LlygWeIFjUKlWqpBEjRmj+/PmSdN05JKWrefz666+1ZMkS+fr6qkePHvLw8FBGRoZ+/PFHxcXFqVu3blq3bp0k6ZFHHlHjxo21YMECHT9+XC1btlRSUpKio6PVq1evPzVYBQAAwFVeXl5asGCBJkyYoPbt26tnz55q0qSJcnNzlZycrISEBF2+fFk//vijJGnu3Ll66KGH9Morr2j37t1q2bK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      "text/plain": [
       "<Figure size 1440x720 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "less.hist(figsize=(20,10), grid=False);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "united-laundry",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.hist(greater['number_of_page'],alpha=0.5);\n",
    "ax.hist(less['number_of_page'], alpha=0.5);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "occupational-connectivity",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average Rating of Books with Long Pages\n",
      "---------------------------------------\n",
      "total row after split: 531\n",
      "total row after clean average rating: 299\n",
      "mean: 3.8987290969899657\n"
     ]
    }
   ],
   "source": [
    "print('Average Rating of Books with Long Pages')\n",
    "print('---------------------------------------')\n",
    "print('total row after split: ' + str(len(greater)))\n",
    "greater_avg_rating = greater.loc[~(greater['average_rating'] == 0)]\n",
    "print('total row after clean average rating: ' + str(len(greater_avg_rating)))\n",
    "print('mean: ' + str(np.mean(greater_avg_rating['average_rating'])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "waiting-individual",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average Rating of Books with Short Pages\n",
      "---------------------------------------\n",
      "total row after split: 782\n",
      "total row after clean average rating 407\n",
      "mean: 3.821130221130222\n"
     ]
    }
   ],
   "source": [
    "print('Average Rating of Books with Short Pages')\n",
    "print('---------------------------------------')\n",
    "print('total row after split: ' + str(len(less)))\n",
    "less_avg_rating = less.loc[~(less['average_rating'] == 0)]\n",
    "print('total row after clean average rating ' + str(len(less_avg_rating)))\n",
    "print('mean: ' + str(np.mean(less_avg_rating['average_rating'])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "streaming-sterling",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average Rating - Statistical Tests between Long & Short Pages Books\n",
      "-------------------------------------------------------------------\n",
      "average rating t-test: 1.219715111325505\n",
      "p-value: 0.22300122216112636\n"
     ]
    }
   ],
   "source": [
    "print('Average Rating - Statistical Tests between Long & Short Pages Books')\n",
    "print('-------------------------------------------------------------------')\n",
    "stat, p_val = stats.ttest_ind(greater_avg_rating['average_rating'],less_avg_rating['average_rating'], equal_var=False)\n",
    "print('average rating t-test: ' + str(stat) + '\\np-value: ' + str(p_val))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "younger-campaign",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rating Count of Books with Long Pages\n",
      "---------------------------------------\n",
      "total row after split: 531\n",
      "total row after clean rating count 299\n",
      "27.535117056856187\n"
     ]
    }
   ],
   "source": [
    "print('Rating Count of Books with Long Pages')\n",
    "print('---------------------------------------')\n",
    "print('total row after split: ' + str(len(greater)))\n",
    "greater_rating_count = greater.loc[~(greater['rating_count'] == 0)]\n",
    "print('total row after clean rating count ' + str(len(greater_rating_count)))\n",
    "print(np.mean(greater_rating_count['rating_count']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "changed-thinking",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rating Count of Books with Short Pages\n",
      "---------------------------------------\n",
      "total row after split: 782\n",
      "total row after clean rating count 407\n",
      "12.658476658476658\n"
     ]
    }
   ],
   "source": [
    "print('Rating Count of Books with Short Pages')\n",
    "print('---------------------------------------')\n",
    "print('total row after split: ' + str(len(less)))\n",
    "less_rating_count = less.loc[~(less['rating_count'] == 0)]\n",
    "print('total row after clean rating count ' + str(len(less_rating_count)))\n",
    "print(np.mean(less_rating_count['rating_count']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "young-rental",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rating Count - Statistical Tests between Long & Short Pages Books\n",
      "-------------------------------------------------------------------\n",
      "rating_count t-test: 2.4409249337417505\n",
      "p-value: 0.014972240815203488\n",
      "\n",
      "--------------------------Finding-------------------------\n",
      "books with more pages tend to be rated more often\n"
     ]
    }
   ],
   "source": [
    "print('Rating Count - Statistical Tests between Long & Short Pages Books')\n",
    "print('-------------------------------------------------------------------')\n",
    "stat, p_val = stats.ttest_ind(greater_rating_count['rating_count'],less_rating_count['rating_count'], equal_var=False)\n",
    "print('rating_count t-test: ' + str(stat) + '\\np-value: ' + str(p_val))\n",
    "print('\\n--------------------------Finding-------------------------')\n",
    "print('books with more pages tend to be rated more often')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "demanding-miller",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Review Count of Books with Long Pages\n",
      "---------------------------------------\n",
      "total row after split: 531\n",
      "total row after clean review count 93\n",
      "5.806451612903226\n"
     ]
    }
   ],
   "source": [
    "print('Review Count of Books with Long Pages')\n",
    "print('---------------------------------------')\n",
    "print('total row after split: ' + str(len(greater)))\n",
    "greater_review_count = greater.loc[~(greater['review_count'] == 0)]\n",
    "print('total row after clean review count ' + str(len(greater_review_count)))\n",
    "print(np.mean(greater_review_count['review_count']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "romance-harris",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Review Count of Books with Short Pages\n",
      "---------------------------------------\n",
      "total row after split: 782\n",
      "total row after clean review count 107\n",
      "4.579439252336448\n"
     ]
    }
   ],
   "source": [
    "print('Review Count of Books with Short Pages')\n",
    "print('---------------------------------------')\n",
    "print('total row after split: ' + str(len(less)))\n",
    "less_review_count = less.loc[~(less['review_count'] == 0)]\n",
    "print('total row after clean review count ' + str(len(less_review_count)))\n",
    "print(np.mean(less_review_count['review_count']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "corresponding-preservation",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Review Count - Statistical Tests between Long & Short Pages Books\n",
      "-------------------------------------------------------------------\n",
      "review_count t-test: 0.7394040422987039\n",
      "p-value: 0.46069178770686625\n"
     ]
    }
   ],
   "source": [
    "print('Review Count - Statistical Tests between Long & Short Pages Books')\n",
    "print('-------------------------------------------------------------------')\n",
    "stat, p_val = stats.ttest_ind(greater_review_count['review_count'],less_review_count['review_count'], equal_var=False)\n",
    "print('review_count t-test: ' + str(stat) + '\\np-value: ' + str(p_val))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "departmental-ordinance",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of Editions of Books with Long Pages\n",
      "---------------------------------------\n",
      "total row after split: 531\n",
      "total row after clean editions 531\n",
      "2.169491525423729\n"
     ]
    }
   ],
   "source": [
    "print('Number of Editions of Books with Long Pages')\n",
    "print('---------------------------------------')\n",
    "print('total row after split: ' + str(len(greater)))\n",
    "greater_editions = greater.loc[~(greater['editions'] == 0)]\n",
    "print('total row after clean editions ' + str(len(greater_editions)))\n",
    "print(np.mean(greater_editions['editions']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "sustained-apparatus",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of Editions of Books with Short Pages\n",
      "---------------------------------------\n",
      "total row after split: 782\n",
      "total row after clean editions 782\n",
      "1.9335038363171355\n"
     ]
    }
   ],
   "source": [
    "print('Number of Editions of Books with Short Pages')\n",
    "print('---------------------------------------')\n",
    "print('total row after split: ' + str(len(less)))\n",
    "less_editions = less.loc[~(less['editions'] == 0)]\n",
    "print('total row after clean editions ' + str(len(less_editions)))\n",
    "print(np.mean(less_editions['editions']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "statistical-grenada",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of Editions - Statistical Tests between Long & Short Pages Books\n",
      "-----------------------------------------------------------------------\n",
      "editions: 1.456642322656463\n",
      "p-value: 0.14545503328603518\n"
     ]
    }
   ],
   "source": [
    "print('Number of Editions - Statistical Tests between Long & Short Pages Books')\n",
    "print('-----------------------------------------------------------------------')\n",
    "stat, p_val = stats.ttest_ind(greater_editions['review_count'],less_editions['review_count'], equal_var=False)\n",
    "print('editions: ' + str(stat) + '\\np-value: ' + str(p_val))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "twelve-disclosure",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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