04_Split_Data_EDA.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "from pandas_profiling import ProfileReport\n",
    "from sklearn.model_selection import StratifiedShuffleSplit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>description</th>\n",
       "      <th>plot</th>\n",
       "      <th>csm_review</th>\n",
       "      <th>need_to_know</th>\n",
       "      <th>par_rating</th>\n",
       "      <th>kids_rating</th>\n",
       "      <th>csm_rating</th>\n",
       "      <th>Author</th>\n",
       "      <th>Genre</th>\n",
       "      <th>...</th>\n",
       "      <th>Publisher's recommended age(s)</th>\n",
       "      <th>Number of pages</th>\n",
       "      <th>Available on</th>\n",
       "      <th>Last updated</th>\n",
       "      <th>Illustrator</th>\n",
       "      <th>Authors</th>\n",
       "      <th>Awards</th>\n",
       "      <th>Publishers</th>\n",
       "      <th>Award</th>\n",
       "      <th>Illustrators</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>The Third Twin</td>\n",
       "      <td>Gripping thriller skimps on character developm...</td>\n",
       "      <td>Twins Ava and Alexa \"Lexi\" Rios live in an aff...</td>\n",
       "      <td>THE THIRD TWIN has an interesting, compelling ...</td>\n",
       "      <td>Parents need to know that The Third Twin is a ...</td>\n",
       "      <td>17.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>12</td>\n",
       "      <td>CJ Omololu</td>\n",
       "      <td>Mystery</td>\n",
       "      <td>...</td>\n",
       "      <td>12 - 18</td>\n",
       "      <td>336.0</td>\n",
       "      <td>Nook, Hardback, iBooks, Kindle</td>\n",
       "      <td>June 19, 2019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Small Damages</td>\n",
       "      <td>Luminous story of pregnant teen's summer in Sp...</td>\n",
       "      <td>It's the summer of 1996, which 18-year-old Ken...</td>\n",
       "      <td>This could well have been a minefield of clich...</td>\n",
       "      <td>Parents need to know that Small Damages is nar...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14</td>\n",
       "      <td>Beth Kephart</td>\n",
       "      <td>Coming of Age</td>\n",
       "      <td>...</td>\n",
       "      <td>14 - 17</td>\n",
       "      <td>304.0</td>\n",
       "      <td>Nook, Hardback, iBooks, Kindle</td>\n",
       "      <td>May 06, 2019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>The School for Good and Evil, Book 1</td>\n",
       "      <td>Fractured fairy tale has plenty of twists for ...</td>\n",
       "      <td>When best friends Sophie and Agatha are stolen...</td>\n",
       "      <td>The School for Good and Evil is no run-of-the-...</td>\n",
       "      <td>Parents need to know that The School for Good ...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>8</td>\n",
       "      <td>Soman Chainani</td>\n",
       "      <td>Fairy Tale</td>\n",
       "      <td>...</td>\n",
       "      <td>8 - 17</td>\n",
       "      <td>496.0</td>\n",
       "      <td>Nook, Audiobook (unabridged), Hardback, iBooks...</td>\n",
       "      <td>October 18, 2017</td>\n",
       "      <td>Iacopo Bruno</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Agent of Chaos: The X-Files Origins, Book 1</td>\n",
       "      <td>Series pictures Mulder as teen, captures essen...</td>\n",
       "      <td>Set in 1979, AGENT OF CHAOS follows a 17-year-...</td>\n",
       "      <td>Popular TV characters don't always make a smoo...</td>\n",
       "      <td>Parents need to know that Agent of Chaos: The ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13</td>\n",
       "      <td>Kami Garcia</td>\n",
       "      <td>Science Fiction</td>\n",
       "      <td>...</td>\n",
       "      <td>14 - 18</td>\n",
       "      <td>320.0</td>\n",
       "      <td>Nook, Audiobook (abridged), Hardback, iBooks, ...</td>\n",
       "      <td>June 19, 2019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Crossing Ebenezer Creek</td>\n",
       "      <td>Heartbreaking novel follows freed slaves on Sh...</td>\n",
       "      <td>CROSSING EBENEZER CREEK is a YA novel from awa...</td>\n",
       "      <td>Beautifully written and poetically rendered, t...</td>\n",
       "      <td>Parents need to know that Crossing Ebenezer Cr...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13</td>\n",
       "      <td>Tonya Bolden</td>\n",
       "      <td>Historical Fiction</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>240.0</td>\n",
       "      <td>Nook, Audiobook (unabridged), Hardback, Kindle</td>\n",
       "      <td>January 18, 2019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         title  \\\n",
       "0                               The Third Twin   \n",
       "1                                Small Damages   \n",
       "2         The School for Good and Evil, Book 1   \n",
       "3  Agent of Chaos: The X-Files Origins, Book 1   \n",
       "4                      Crossing Ebenezer Creek   \n",
       "\n",
       "                                         description  \\\n",
       "0  Gripping thriller skimps on character developm...   \n",
       "1  Luminous story of pregnant teen's summer in Sp...   \n",
       "2  Fractured fairy tale has plenty of twists for ...   \n",
       "3  Series pictures Mulder as teen, captures essen...   \n",
       "4  Heartbreaking novel follows freed slaves on Sh...   \n",
       "\n",
       "                                                plot  \\\n",
       "0  Twins Ava and Alexa \"Lexi\" Rios live in an aff...   \n",
       "1  It's the summer of 1996, which 18-year-old Ken...   \n",
       "2  When best friends Sophie and Agatha are stolen...   \n",
       "3  Set in 1979, AGENT OF CHAOS follows a 17-year-...   \n",
       "4  CROSSING EBENEZER CREEK is a YA novel from awa...   \n",
       "\n",
       "                                          csm_review  \\\n",
       "0  THE THIRD TWIN has an interesting, compelling ...   \n",
       "1  This could well have been a minefield of clich...   \n",
       "2  The School for Good and Evil is no run-of-the-...   \n",
       "3  Popular TV characters don't always make a smoo...   \n",
       "4  Beautifully written and poetically rendered, t...   \n",
       "\n",
       "                                        need_to_know  par_rating  kids_rating  \\\n",
       "0  Parents need to know that The Third Twin is a ...        17.0         14.0   \n",
       "1  Parents need to know that Small Damages is nar...         NaN         14.0   \n",
       "2  Parents need to know that The School for Good ...        11.0         11.0   \n",
       "3  Parents need to know that Agent of Chaos: The ...         NaN          NaN   \n",
       "4  Parents need to know that Crossing Ebenezer Cr...         NaN          NaN   \n",
       "\n",
       "   csm_rating          Author               Genre  ...  \\\n",
       "0          12      CJ Omololu             Mystery  ...   \n",
       "1          14    Beth Kephart       Coming of Age  ...   \n",
       "2           8  Soman Chainani          Fairy Tale  ...   \n",
       "3          13     Kami Garcia     Science Fiction  ...   \n",
       "4          13    Tonya Bolden  Historical Fiction  ...   \n",
       "\n",
       "  Publisher's recommended age(s) Number of pages  \\\n",
       "0                        12 - 18           336.0   \n",
       "1                        14 - 17           304.0   \n",
       "2                         8 - 17           496.0   \n",
       "3                        14 - 18           320.0   \n",
       "4                            NaN           240.0   \n",
       "\n",
       "                                        Available on      Last updated  \\\n",
       "0                     Nook, Hardback, iBooks, Kindle     June 19, 2019   \n",
       "1                     Nook, Hardback, iBooks, Kindle      May 06, 2019   \n",
       "2  Nook, Audiobook (unabridged), Hardback, iBooks...  October 18, 2017   \n",
       "3  Nook, Audiobook (abridged), Hardback, iBooks, ...     June 19, 2019   \n",
       "4     Nook, Audiobook (unabridged), Hardback, Kindle  January 18, 2019   \n",
       "\n",
       "    Illustrator  Authors Awards Publishers Award Illustrators  \n",
       "0           NaN      NaN    NaN        NaN   NaN          NaN  \n",
       "1           NaN      NaN    NaN        NaN   NaN          NaN  \n",
       "2  Iacopo Bruno      NaN    NaN        NaN   NaN          NaN  \n",
       "3           NaN      NaN    NaN        NaN   NaN          NaN  \n",
       "4           NaN      NaN    NaN        NaN   NaN          NaN  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('csv/book_info_complete.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create train/test split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "split = StratifiedShuffleSplit(n_splits=1, test_size=0.2, random_state=999)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "for train_index, test_index in split.split(df, df['csm_rating']):\n",
    "    train_set = df.loc[train_index]\n",
    "    test_set = df.loc[test_index]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Drop Duplicates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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",
       "      <th>description</th>\n",
       "      <th>plot</th>\n",
       "      <th>csm_review</th>\n",
       "      <th>need_to_know</th>\n",
       "      <th>par_rating</th>\n",
       "      <th>kids_rating</th>\n",
       "      <th>csm_rating</th>\n",
       "      <th>Author</th>\n",
       "      <th>Genre</th>\n",
       "      <th>...</th>\n",
       "      <th>Publisher's recommended age(s)</th>\n",
       "      <th>Number of pages</th>\n",
       "      <th>Available on</th>\n",
       "      <th>Last updated</th>\n",
       "      <th>Illustrator</th>\n",
       "      <th>Authors</th>\n",
       "      <th>Awards</th>\n",
       "      <th>Publishers</th>\n",
       "      <th>Award</th>\n",
       "      <th>Illustrators</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>812</th>\n",
       "      <td>Stone Rabbit Series</td>\n",
       "      <td>Time-travel comic mixes cartoon mayhem, some l...</td>\n",
       "      <td>Stone Rabbit is just living an ordinary life -...</td>\n",
       "      <td>This funny, silly comic book series is a good ...</td>\n",
       "      <td>Parents need to know that although there's qui...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7</td>\n",
       "      <td>Erik Craddock</td>\n",
       "      <td>Humor</td>\n",
       "      <td>...</td>\n",
       "      <td>7 - 10</td>\n",
       "      <td>96.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>July 22, 2019</td>\n",
       "      <td>Erik Craddock</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   title                                        description  \\\n",
       "812  Stone Rabbit Series  Time-travel comic mixes cartoon mayhem, some l...   \n",
       "\n",
       "                                                  plot  \\\n",
       "812  Stone Rabbit is just living an ordinary life -...   \n",
       "\n",
       "                                            csm_review  \\\n",
       "812  This funny, silly comic book series is a good ...   \n",
       "\n",
       "                                          need_to_know  par_rating  \\\n",
       "812  Parents need to know that although there's qui...         NaN   \n",
       "\n",
       "     kids_rating  csm_rating         Author  Genre  ...  \\\n",
       "812          6.0           7  Erik Craddock  Humor  ...   \n",
       "\n",
       "    Publisher's recommended age(s) Number of pages Available on  \\\n",
       "812                         7 - 10            96.0          NaN   \n",
       "\n",
       "      Last updated    Illustrator  Authors Awards Publishers Award  \\\n",
       "812  July 22, 2019  Erik Craddock      NaN    NaN        NaN   NaN   \n",
       "\n",
       "    Illustrators  \n",
       "812          NaN  \n",
       "\n",
       "[1 rows x 24 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duplicateRowsTrain = train_set[train_set.duplicated()]\n",
    "duplicateRowsTrain"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_set.drop(812, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duplicateRowsTrain = train_set[train_set.duplicated()]\n",
    "len(duplicateRowsTrain)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duplicateRowsTest = test_set[test_set.duplicated()]\n",
    "len(duplicateRowsTest)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4     0.135739\n",
       "14    0.109966\n",
       "9     0.107388\n",
       "8     0.103093\n",
       "13    0.096220\n",
       "10    0.096220\n",
       "12    0.086770\n",
       "3     0.048110\n",
       "15    0.037801\n",
       "6     0.037801\n",
       "11    0.034364\n",
       "5     0.034364\n",
       "7     0.029210\n",
       "2     0.024914\n",
       "16    0.015464\n",
       "17    0.002577\n",
       "Name: csm_rating, dtype: float64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_set['csm_rating'].value_counts() / len(test_set)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4     0.135455\n",
       "14    0.109869\n",
       "9     0.107074\n",
       "8     0.103204\n",
       "10    0.096538\n",
       "13    0.096538\n",
       "12    0.086433\n",
       "3     0.048592\n",
       "15    0.037841\n",
       "6     0.037626\n",
       "5     0.034186\n",
       "11    0.033971\n",
       "7     0.028811\n",
       "2     0.025371\n",
       "16    0.015266\n",
       "17    0.003225\n",
       "Name: csm_rating, dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_set['csm_rating'].value_counts() / len(train_set)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>description</th>\n",
       "      <th>plot</th>\n",
       "      <th>csm_review</th>\n",
       "      <th>need_to_know</th>\n",
       "      <th>par_rating</th>\n",
       "      <th>kids_rating</th>\n",
       "      <th>csm_rating</th>\n",
       "      <th>Author</th>\n",
       "      <th>Genre</th>\n",
       "      <th>...</th>\n",
       "      <th>Publisher's recommended age(s)</th>\n",
       "      <th>Number of pages</th>\n",
       "      <th>Available on</th>\n",
       "      <th>Last updated</th>\n",
       "      <th>Illustrator</th>\n",
       "      <th>Authors</th>\n",
       "      <th>Awards</th>\n",
       "      <th>Publishers</th>\n",
       "      <th>Award</th>\n",
       "      <th>Illustrators</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3662</th>\n",
       "      <td>Carly Keene, Literary Detective: Braving the B...</td>\n",
       "      <td>Mysterious time-travel story for adventurous b...</td>\n",
       "      <td>CARLY KEENE LITERARY DETECTIVE: BRAVING THE BR...</td>\n",
       "      <td>Carly Keene Literary Detective: Braving the Br...</td>\n",
       "      <td>Parents need to know that Katherine Rue's Carl...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10</td>\n",
       "      <td>Katherine Rue</td>\n",
       "      <td>Historical Fiction</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>262.0</td>\n",
       "      <td>Paperback, Kindle</td>\n",
       "      <td>June 19, 2019</td>\n",
       "      <td>Nick Guarracino</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>724</th>\n",
       "      <td>Tangerine</td>\n",
       "      <td>A complex tale about teens, family relationships.</td>\n",
       "      <td>Paul Fisher can see things his parents can't, ...</td>\n",
       "      <td>This complex, multilayered novel is impossible...</td>\n",
       "      <td>Parents need to know that the contrasting brot...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>11</td>\n",
       "      <td>Edward Bloor</td>\n",
       "      <td>Coming of Age</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>294.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>July 06, 2016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  title  \\\n",
       "3662  Carly Keene, Literary Detective: Braving the B...   \n",
       "724                                           Tangerine   \n",
       "\n",
       "                                            description  \\\n",
       "3662  Mysterious time-travel story for adventurous b...   \n",
       "724   A complex tale about teens, family relationships.   \n",
       "\n",
       "                                                   plot  \\\n",
       "3662  CARLY KEENE LITERARY DETECTIVE: BRAVING THE BR...   \n",
       "724   Paul Fisher can see things his parents can't, ...   \n",
       "\n",
       "                                             csm_review  \\\n",
       "3662  Carly Keene Literary Detective: Braving the Br...   \n",
       "724   This complex, multilayered novel is impossible...   \n",
       "\n",
       "                                           need_to_know  par_rating  \\\n",
       "3662  Parents need to know that Katherine Rue's Carl...         NaN   \n",
       "724   Parents need to know that the contrasting brot...        12.0   \n",
       "\n",
       "      kids_rating  csm_rating         Author               Genre  ...  \\\n",
       "3662          NaN          10  Katherine Rue  Historical Fiction  ...   \n",
       "724          11.0          11   Edward Bloor       Coming of Age  ...   \n",
       "\n",
       "     Publisher's recommended age(s) Number of pages       Available on  \\\n",
       "3662                            NaN           262.0  Paperback, Kindle   \n",
       "724                             NaN           294.0                NaN   \n",
       "\n",
       "       Last updated      Illustrator  Authors Awards Publishers Award  \\\n",
       "3662  June 19, 2019  Nick Guarracino      NaN    NaN        NaN   NaN   \n",
       "724   July 06, 2016              NaN      NaN    NaN        NaN   NaN   \n",
       "\n",
       "     Illustrators  \n",
       "3662          NaN  \n",
       "724           NaN  \n",
       "\n",
       "[2 rows x 24 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_set.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Save Train and Test Sets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_set.to_csv('csv/train.csv', index=False, float_format = '%.12g')\n",
    "test_set.to_csv('csv/test.csv', index=False, float_format= '%.12g')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/evan/anaconda3/lib/python3.7/site-packages/numpy/lib/histograms.py:829: RuntimeWarning: invalid value encountered in greater_equal\n",
      "  keep = (tmp_a >= first_edge)\n",
      "/home/evan/anaconda3/lib/python3.7/site-packages/numpy/lib/histograms.py:830: RuntimeWarning: invalid value encountered in less_equal\n",
      "  keep &= (tmp_a <= last_edge)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(train_set);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "aa5d6013910b4aa59cfb9bf852d3f02a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='variables', max=24.0, style=ProgressStyle(description_wid…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c8edae95fd4049e487946696d9b70909",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='correlations', max=5.0, style=ProgressStyle(description_w…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "50abf919a26e48368f9ff364abb25049",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='interactions [continuous]', max=16.0, style=ProgressStyle…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a665d48d75de4981b5f2acb58b3e2794",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='table', max=1.0, style=ProgressStyle(description_width='i…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f02995a607974ad3a01eff52d80b323b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='missing', max=4.0, style=ProgressStyle(description_width=…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6d04f1bcd5924a7f93897ab41d30372d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='warnings', max=3.0, style=ProgressStyle(description_width…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "35fbdd0b44784466b6442998d1e5bed3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='package', max=1.0, style=ProgressStyle(description_width=…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "af30acfcc70643d5bb7deabf4d7799b8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='build report structure', max=1.0, style=ProgressStyle(des…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "profile = ProfileReport(train_set.reset_index(drop=True), title='Pandas Profiling Report', html={'style':{'full_width':True}}, correlations={\"cramers\": {\"calculate\": False}})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mkdir: cannot create directory ‘lexile/reports’: File exists\n"
     ]
    }
   ],
   "source": [
    "!mkdir lexile/reports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "profile.to_file(output_file=\"lexile/reports/train_eda.html\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "base"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}