1 - EDA.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# checking pep8 compliance\n",
    "%load_ext pycodestyle_magic\n",
    "%pycodestyle_on"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preliminary analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(119154, 40)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d = pd.read_csv('olist_complet.csv', index_col=0)\n",
    "d.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>customer_id</th>\n",
       "      <th>customer_unique_id</th>\n",
       "      <th>customer_zip_code_prefix</th>\n",
       "      <th>customer_city</th>\n",
       "      <th>customer_state</th>\n",
       "      <th>order_id</th>\n",
       "      <th>order_status</th>\n",
       "      <th>order_purchase_timestamp</th>\n",
       "      <th>order_approved_at</th>\n",
       "      <th>order_delivered_carrier_date</th>\n",
       "      <th>...</th>\n",
       "      <th>payment_value</th>\n",
       "      <th>review_id</th>\n",
       "      <th>review_score</th>\n",
       "      <th>review_comment_title</th>\n",
       "      <th>review_comment_message</th>\n",
       "      <th>review_creation_date</th>\n",
       "      <th>review_answer_timestamp</th>\n",
       "      <th>seller_zip_code_prefix</th>\n",
       "      <th>seller_city</th>\n",
       "      <th>seller_state</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.0</th>\n",
       "      <td>06b8999e2fba1a1fbc88172c00ba8bc7</td>\n",
       "      <td>861eff4711a542e4b93843c6dd7febb0</td>\n",
       "      <td>14409.0</td>\n",
       "      <td>franca</td>\n",
       "      <td>SP</td>\n",
       "      <td>00e7ee1b050b8499577073aeb2a297a1</td>\n",
       "      <td>delivered</td>\n",
       "      <td>2017-05-16 15:05:35</td>\n",
       "      <td>2017-05-16 15:22:12</td>\n",
       "      <td>2017-05-23 10:47:57</td>\n",
       "      <td>...</td>\n",
       "      <td>146.87</td>\n",
       "      <td>88b8b52d46df026a9d1ad2136a59b30b</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-05-26 00:00:00</td>\n",
       "      <td>2017-05-30 22:34:40</td>\n",
       "      <td>8577.0</td>\n",
       "      <td>itaquaquecetuba</td>\n",
       "      <td>SP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>18955e83d337fd6b2def6b18a428ac77</td>\n",
       "      <td>290c77bc529b7ac935b93aa66c333dc3</td>\n",
       "      <td>9790.0</td>\n",
       "      <td>sao bernardo do campo</td>\n",
       "      <td>SP</td>\n",
       "      <td>29150127e6685892b6eab3eec79f59c7</td>\n",
       "      <td>delivered</td>\n",
       "      <td>2018-01-12 20:48:24</td>\n",
       "      <td>2018-01-12 20:58:32</td>\n",
       "      <td>2018-01-15 17:14:59</td>\n",
       "      <td>...</td>\n",
       "      <td>335.48</td>\n",
       "      <td>02fc48a9efa3e3d0f1a8ea26507eeec3</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-01-30 00:00:00</td>\n",
       "      <td>2018-02-10 22:43:29</td>\n",
       "      <td>88303.0</td>\n",
       "      <td>itajai</td>\n",
       "      <td>SC</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          customer_id                customer_unique_id  \\\n",
       "0.0  06b8999e2fba1a1fbc88172c00ba8bc7  861eff4711a542e4b93843c6dd7febb0   \n",
       "1.0  18955e83d337fd6b2def6b18a428ac77  290c77bc529b7ac935b93aa66c333dc3   \n",
       "\n",
       "     customer_zip_code_prefix          customer_city customer_state  \\\n",
       "0.0                   14409.0                 franca             SP   \n",
       "1.0                    9790.0  sao bernardo do campo             SP   \n",
       "\n",
       "                             order_id order_status order_purchase_timestamp  \\\n",
       "0.0  00e7ee1b050b8499577073aeb2a297a1    delivered      2017-05-16 15:05:35   \n",
       "1.0  29150127e6685892b6eab3eec79f59c7    delivered      2018-01-12 20:48:24   \n",
       "\n",
       "       order_approved_at order_delivered_carrier_date  ... payment_value  \\\n",
       "0.0  2017-05-16 15:22:12          2017-05-23 10:47:57  ...        146.87   \n",
       "1.0  2018-01-12 20:58:32          2018-01-15 17:14:59  ...        335.48   \n",
       "\n",
       "                            review_id  review_score review_comment_title  \\\n",
       "0.0  88b8b52d46df026a9d1ad2136a59b30b           4.0                  NaN   \n",
       "1.0  02fc48a9efa3e3d0f1a8ea26507eeec3           5.0                  NaN   \n",
       "\n",
       "    review_comment_message review_creation_date  review_answer_timestamp  \\\n",
       "0.0                    NaN  2017-05-26 00:00:00      2017-05-30 22:34:40   \n",
       "1.0                    NaN  2018-01-30 00:00:00      2018-02-10 22:43:29   \n",
       "\n",
       "     seller_zip_code_prefix      seller_city  seller_state  \n",
       "0.0                  8577.0  itaquaquecetuba            SP  \n",
       "1.0                 88303.0           itajai            SC  \n",
       "\n",
       "[2 rows x 40 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "99443 \t customer_id\n",
      "96098 \t customer_unique_id\n",
      "14994 \t customer_zip_code_prefix\n",
      "4119 \t customer_city\n",
      "27 \t customer_state\n",
      "99442 \t order_id\n",
      "9 \t order_status\n",
      "98876 \t order_purchase_timestamp\n",
      "90734 \t order_approved_at\n",
      "81019 \t order_delivered_carrier_date\n",
      "95665 \t order_delivered_customer_date\n",
      "460 \t order_estimated_delivery_date\n",
      "22 \t order_item_id\n",
      "32952 \t product_id\n",
      "3096 \t seller_id\n",
      "93319 \t shipping_limit_date\n",
      "5969 \t price\n",
      "7000 \t freight_value\n",
      "74 \t product_category_name\n",
      "67 \t product_name_lenght\n",
      "2961 \t product_description_lenght\n",
      "20 \t product_photos_qty\n",
      "2205 \t product_weight_g\n",
      "100 \t product_length_cm\n",
      "103 \t product_height_cm\n",
      "96 \t product_width_cm\n",
      "72 \t product_category_name_english\n",
      "30 \t payment_sequential\n",
      "6 \t payment_type\n",
      "25 \t payment_installments\n",
      "29078 \t payment_value\n",
      "99174 \t review_id\n",
      "6 \t review_score\n",
      "4601 \t review_comment_title\n",
      "36922 \t review_comment_message\n",
      "638 \t review_creation_date\n",
      "99009 \t review_answer_timestamp\n",
      "2247 \t seller_zip_code_prefix\n",
      "612 \t seller_city\n",
      "24 \t seller_state\n"
     ]
    }
   ],
   "source": [
    "for col in d.columns:\n",
    "    print(d[col].unique().size, '\\t', col)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have 96,098 unique customers for 99,442 orders. We deduce that a majority of customers have made 1 single order.\n",
    "\n",
    "#### How many orders per customer ? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a1afb5588>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nb_order = d.customer_unique_id.value_counts()\n",
    "nb_order.value_counts().sort_index().plot.bar(figsize=(10, 3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nb_order.value_counts().sort_index().plot.pie(figsize=(6, 6),\n",
    "                                              autopct='%1.0f%%',\n",
    "                                              textprops=dict(fontsize=20))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "84.92 % des clients ont passé 1 commande\n",
      "10.98 % des clients ont passé 2 commandes\n",
      "4.11 % des clients ont passé 3 ou + commandes\n"
     ]
    }
   ],
   "source": [
    "print(round(100 * nb_order[nb_order == 1].shape[0] / 96098, 2),\n",
    "      '% des clients ont passé 1 commande')\n",
    "print(round(100 * nb_order[nb_order == 2].shape[0] / 96098, 2),\n",
    "      '% des clients ont passé 2 commandes')\n",
    "print(round(100 * nb_order[nb_order > 2].shape[0] / 96098, 2),\n",
    "      '% des clients ont passé 3 ou + commandes')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### How many items per order?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a1b9e8128>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nb_items = d.order_id.value_counts()\n",
    "nb_items.value_counts().sort_index().plot.bar(figsize=(10, 3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nb_items = d.order_id.value_counts()\n",
    "nb_items.value_counts().sort_index().plot.pie(figsize=(6, 6),\n",
    "                                              autopct='%1.0f%%',\n",
    "                                              textprops=dict(fontsize=20))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_order = d['order_id'].unique().size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "87.0 % des commandes contiennent 1 article\n",
      " 9.9 % des commandes contiennent 2 articles\n",
      " 3.1 % des commandes contiennent 3 ou + articles\n"
     ]
    }
   ],
   "source": [
    "print(\n",
    "    round(100 * nb_items[nb_items == 1].shape[0]/n_order, 1),\n",
    "    '% des commandes contiennent 1 article\\n',\n",
    "    round(100 * nb_items[nb_items == 2].shape[0]/n_order, 1),\n",
    "    '% des commandes contiennent 2 articles\\n',\n",
    "    round(100 * nb_items[nb_items > 2].shape[0]/n_order, 1),\n",
    "    '% des commandes contiennent 3 ou + articles')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Average cost of purchased items"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "120.65"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "round(d['price'].mean(), 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x1a1b7317f0>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(d[d['price'] < 1000]['price'])\n",
    "plt.axvline(d['price'].mean(), c='red', lw=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "172.7356700909745"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d['payment_value'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(d[d['payment_value'] < 1000]['payment_value'])\n",
    "plt.axvline(d['payment_value'].mean(), c='red', lw=1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Freight Value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Montant des frais de port\n",
    "d['freight_value'].plot.hist(bins=100)\n",
    "plt.xlim(0, 100)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Payment type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a1bc0af28>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d['payment_type'].value_counts().plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a1bebce10>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Number of installments\n",
    "d['payment_installments'].value_counts().sort_index().plot.bar(figsize=(10, 4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a1b7a7b38>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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FDGmSJEkVMqRJkiRVyJAmSZJUIUOaJElShQxpkiRJFTKkSZIkVciQJkmSVCFDmiRJUoUMaZIkSRUypEmSJFXIkCZJklQhQ5okSVKFDGmSJEkVMqRJkiRVyJAmSZJUIUOaJElShQxpkiRJFTKkSZIkVciQJkmSVCFDmiRJUoUMaZIkSRUypEmSJFXIkCZJklQhQ5okSVKFZo+6A9PNglXfmnKdxy5578vQE0mSNJP5SpokSVKFDGmSJEkVqj6kRcSyiHgoIrZGxKpR90eSJOnlUHVIi4hZwBeA04HjgHMj4rjR9kqSJGnvq/3CgcXA1sx8BCAi1gFnAA+MtFct2ZOLEMALESRJGke1h7R5wLaO29uBk0bUl6q1HfjavIr15a61p/Ucs/7r+Y+FJL18IjNH3YdJRcTZwGmZ+a/K7V8DFmfmhV3rrQRWlptvBB6aovThwN+02NU2641DrbbrjUOttuuNQ622641DrbbrjUOttutZa7T1RlHrmMyc22tB7a+kbQeO7rg9H3iie6XMXAOs2dOiEbEpMxcN3732641DrbbrjUOttuuNQ622641DrbbrjUOttutZa7T1aqtV9YUDwB3Awog4NiL2Bc4B1o+4T5IkSXtd1a+kZeYLEfEhYAMwC1ibmfePuFuSJEl7XdUhDSAzrwOua7nsHp8aHUG9cajVdr1xqNV2vXGo1Xa9cajVdr1xqNV2PWuNtl5Vtaq+cECSJGlc1f6eNEmSpLFkSJMkSaqQIa0SEXFoRMyprda4cMwkSbXxPWkDiIgjab4NIYEnMvOpAeu8Fvg9YCnwLBDAQcCNwKrMfGwUtTpqtrKfbddqq17tYyaNs4g4GFhGx98TsCEznx2g1ptovlKws9b6zNwyylqlXpv7OePHrPLxb7VvMGYhbdgDaES8Dfgj4GDgr0vzfJoD/G9k5l191rsF+DxwTWa+WNpmAWcDH8nMJSOq1dp+7oUxa7NvVY5ZR80qnzxartXaPrZdr+Ixm/EHqYhYDqwGvsPP/z39U+ATmXlVH7U+BpwLrKP5gPSJWucA6zLzklHUKvXa3M8ZP2aVj3+rfXtJZs74CXgbcCuwBfizMj1Y2k7oo849wEk92pcA3x2gXw8PsuxlqNXafu6FMWuzb1WOWdluOfB/gMuA3ynTH5W25X3W+ljp3yrgX5Zp1UTbCGu1to9jNGat1ap8zB4CDunRPgf4qz5r/RXwih7t+w7wd95arb2wnzN+zCof/1b79tL2g244nSZaOoDubqCBrQP0ax3wRZovjX9NmU4qbVePsFZr+7kXxqzNvlU5ZmWbKp88Wq7V2j6O0ZiNxUGq1Dq4R/vBA9R6kOa7EbvbjwEeGlWtvbCfM37MKh//Vvs2MVX/YbYtOSAzb+tuzMxbI+KAPupcHxHfAq4CtpW2o2n+G/32AP1aDpwPfILm9ECUuv8DuHyEtdrcz7bHrM16tY4ZpS+93ovw07KsHz+lCaDf62o/qiwbVa0297HterWOWZu1oN4xuxi4KyK+w8/+nl5LcxrqU33W+ghwQ0Q83FXr9cCHRlgL2t3PcRizmse/7b4BY/KetIi4FHgdvQ+gj2bmHg9gRJzOz95zETTnntdn880IM0ab+9n2mNX6O2h5zFYA/4HmvRK7PHlk5hV91FoG/CHQ88kjM/c4RLZcq7V9bLtexWPWWq1Sr8oxK/XmAKfx839PGzLzmX7qlFr7AIu7at2R5b2oo6pV6rW5nzN+zCof/1b7BmMS0qDeA/tkIuJ9mfnN2mqNixrGrNYnj5ZrtbaPbdereMzG6iAljbVBz5M67XLeeWXL9T5Raa3W9nMvjFmbfatyzJycxn0C1rRY65s11toL+znjx6zy8R+4b2P/YbYRsbKtUgPe/+KI+KUyf1xE/GZEvCczVw/doYirANqo1Vm20lp914uIfSNieUScUm7/akT8YURcAHx6VP2aslhEa18AHBGtvVrYcq1Wv4B5TMas1Vd+ax0z4D+3WOvXK60F7e7nOIxZzeM/cN/G5nTnZCLiX2fmHv8yyucAzQNuy8y/7Whflv2/52I1cDowG9hIc2XhzcApNKcbLu6j1vruJuCf0HwwK5n5/n761lX7nTSnMO7LzO/0ue1JwJbM/GFE7EdzSf4JwAPA72bmc33Wuwj475m5bcqVp671VZqx35/m88wOBL5B8+G2ZOYH+qz3OuCf07zf8QWa9+Z8rd993IP7OTEz72yp1lGZ+WSFtVrbx7brVTxmrdUq9aocM+25iDgiM58edT+6RcRhmfmDUfdjWmjz5cHpOAHn9bHuRTSXrP8p8BhwRseyuwa4783ALJqQ8EPgoNK+H3Bvn7XuAv4rcDLwrvLzyTL/rj5r3d4x/+s0H2GyGvjf9P95R/cDs8v8GpoPj31nqfeNAcbsOZoPyPxfwG8Ac4f43d9bfs4GngJmldsxwPhfRBO0fwf4S5qP8biYJoye/HI+pp1+7vdyxKj7MEm/Dht1H2qeaD4C4RKajzX4QZm2lLZdPjJkiPu5vs/1DwL+E/AV4Fe7ln1xgPt/Nc1n1H0BOAz4j+W4cDVwVJ+1Du2aDivHqTnAoX3WWtb1u7gcuBf4Y+DIPmtdAhxe5hcBjwBbaa4Cflefte4qz7Gva+n3vwi4qRw7jy7P4c8BdwBv77PWgcAnyzHvOWAHzWexfmCoPraxo9N5Ah7vY93NwIFlfgGwCfhwuX33APd9d6/5cvuePmvtA3y0PMjeVtoeGXBMOvt1x0QQAg4ANvdZa0vH/F1dy/rax4m+lX09tTxx7KD5iIsVwKv6rHUfzWc4zQGen3giA36hs999PDYmQt7+wM1l/rUDPjZm/EGKFg9QpZ4Hqf7HrMqDFLCB5sNxX931ePkYsLHPWidMMp0IPNlnrT8pv88zgfXl9isnfjcD7Oe3gQtpzjDcW/bvtaXt2j5r/RR4tGv6+/Kzr2NB574AX6J5+8cxNMeYP+2z1uaO+ZuAXyrzbwA29VnrUeD3gceB20t/XjPE4/92mrNZ59JckXxWaV8K3NJnrWuBD9B8y8BvAv8eWAhcSXPWaLA+DrrhdJrKg7/XtBn4cR91Hui6fWD5I/ssgwWO24D9y/w+He0HD/IHX7adD/w3mkvh9ziAdtX4Ls2B7bDuPyL6DBylL+eV+S8Di8r8G2iu+uq3b91B7xXA+4GvATv6rPVRmgPm92heCbsB+C/lcbG6z1qbO56s5wB3diy7b4D9nPEHKVo8QJV6HqT6H7MqD1Ls5sM/d7dskvVfpHnbx009pv/XZ617um7/O5ozDIf1+/gv23f+Q/z47u5rD2r9m/I39Yudj5cBHxd3TdaPAfr1ID87m3Jr17J+/+nv7Nc/pjlj8f3yu+z7Aq0pxr/fY913u27fUX7uAzw4yO8hc3xC2lM0Xw11TNe0gOY7PPe0zo2UV6k62mbTfP7aiwP065WTtB/e+Yc24D6/t98nxo5tH6MJL4+Wn68u7QcO8Ad6MHAFzdfM3EZz0HwE+J/AWwfo26R/OMB+A9R7DeUgBxwCnAUsHqDOh2mCxprypDQRTOcCfz5AvRl/kJriCXKQf3o8SPW/n1UepGg+t+236XjVEjiSJsj/WZ+17gMWTrJsW5+1ttDxD3VpW0Hz6uH3Bhj/73bMf3qYx0bZZuKf9M8Cr2LwsynbaYL2b5Xn6+hY1u9bQS4sv89307xa/nngV2g+RPwrfdba5TmG5i1Dy4AvD7Cft9CclTmb5p/1M0v7u+j/H6i/BN5Z5v8ZzfvKJ5YN/I0DA2003SaaUxXvnGTZH/dRZz4dr2x0LXvHqPfzZRjH/YFjB9z2VcBbaV696et0UVedN4x6HHbTt7fQhLw3tVBrxh+k2j5Ale08SPVXr8qDFM2r0Z+hCbjPADvLY+8z9H/q+izgjZMsO7PPWr8HnNKjfRmDfS3XJylvoelqfz1wzSCP3Y7xvxX4/oDbr+6aJt7y8mrgqgHqnQx8nebtKpuB64CV9PgasSnqrBt0TCap91aasxbXA28C/oDmIrL7gV8eoNbtZfu/mHjM0fyjftHAfWxzh52cnNqZug5SO7sOUnP6rFXlQWpvHaBKjelykJrdZ52aD1L/sOsg9YbSPtBBqvTnlO7HCB3vF+yz1tK9XOv0AX8He6VvNBegHV/5mI20VtnuzS327c1tPWZf2nbQDZ2cnEYz0ccVyeNcq+sgVVXfaq816r7R4pX0Lde6sK1abderdT9r7VdH3x5scT9bqfVzdQfd0MnJaTQTA14QMq61au5brbVG3TdavJK+1lo1920catXet4lpNpKqExH3TraI5r1p1tqL9cahVtv1Wu7brCwfFp6Zj0XEycA1EXEM/X+DR621au7bONSqvW8AhjSpUkfSfOl195dcB80btK01ffpWa62a+/b9iHhbZt4DkJl/GxHvA9YCvzhDatXct3GoVXvfAEOaVKtv0rx0fk/3goi42VrTqm+11qq5b8tpvlrtJZn5ArA8Ivr9TsVaa9Xct3GoVXvfAL+7U5IkqUr7jLoDkiRJ2pUhTZIkqUKGNEmSpAoZ0iRJkipkSJMkSarQ/wcVZ10ZDBMyLgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d['payment_sequential'].value_counts().sort_index().plot.bar(figsize=(10, 4))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Categories of most ordered items"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a1b9666d8>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "1:80: E501 line too long (81 > 79 characters)\n"
     ]
    }
   ],
   "source": [
    "d['product_category_name_english'].value_counts()[0:30].plot.bar(figsize=(16, 4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['office_furniture', 'housewares', 'home_confort', 'sports_leisure',\n",
       "       'computers_accessories', nan, 'toys', 'furniture_decor', 'auto',\n",
       "       'air_conditioning', 'telephony', 'health_beauty', 'garden_tools',\n",
       "       'pet_shop', 'bed_bath_table', 'baby', 'watches_gifts',\n",
       "       'kitchen_dining_laundry_garden_furniture', 'perfumery', 'art',\n",
       "       'stationery', 'fashio_female_clothing', 'consoles_games',\n",
       "       'construction_tools_lights', 'food_drink', 'drinks', 'cool_stuff',\n",
       "       'fashion_bags_accessories', 'home_construction',\n",
       "       'luggage_accessories', 'electronics', 'home_appliances_2',\n",
       "       'fashion_male_clothing', 'small_appliances',\n",
       "       'small_appliances_home_oven_and_coffee', 'books_general_interest',\n",
       "       'home_appliances', 'costruction_tools_tools',\n",
       "       'signaling_and_security', 'musical_instruments',\n",
       "       'construction_tools_construction', 'music', 'fashion_shoes',\n",
       "       'industry_commerce_and_business', 'fashion_underwear_beach',\n",
       "       'dvds_blu_ray', 'construction_tools_safety', 'food',\n",
       "       'fixed_telephony', 'furniture_living_room',\n",
       "       'tablets_printing_image', 'market_place', 'christmas_supplies',\n",
       "       'agro_industry_and_commerce', 'costruction_tools_garden',\n",
       "       'computers', 'furniture_bedroom', 'audio', 'books_imported',\n",
       "       'books_technical', 'party_supplies',\n",
       "       'furniture_mattress_and_upholstery', 'la_cuisine', 'flowers',\n",
       "       'diapers_and_hygiene', 'cine_photo', 'cds_dvds_musicals',\n",
       "       'fashion_sport', 'home_comfort_2', 'arts_and_craftmanship',\n",
       "       'fashion_childrens_clothes', 'security_and_services'], dtype=object)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d['product_category_name_english'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Customer location"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a1c9f7b00>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d['customer_city'].value_counts()[0:10].plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a1cbc3ef0>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d['customer_state'].value_counts()[0:10].plot.bar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Review score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a1d17e320>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d['review_score'].value_counts().plot.bar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Order status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a1dc3fa58>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d['order_status'].value_counts().plot.bar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Number of photos of the product"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a1de829b0>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d['product_photos_qty'].value_counts().plot.bar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Product features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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dxBDGuA0kIuaTHjDp6ekZ8vVmZvUQEWcAZ/RLXkOa8bn/uX8G3l3hPmcDZ5dJXwosHXlOzawduSJsZtZC8ti2dwKHltIi4ingqbx9i6T7gFeQWoAnFS4vjnHbIGlCbg2eAGxsRP7NzMzM2oHHCJuZtZa3APdExLNdniWNlzQqb+9PGuO2Jnd9flzS9DyG7iTKj5crjqMzMzMz63quCJuZNYGkS4DrgQMk9Uk6OR+axY6TZL0BWCXpt8DlwCkRUZpo66PAhUAvcB9wVU6fBxwlaTVwVN43MzMzM9w12sysKSLihArp7y+TdgVpOaVy568ADi6T/jBpllUzMzMz68ctwmZmZmZmZtZVXBE2MzMzMzOzruKKsJmZmZmZmXUVV4TNzMzMzMysq9StIixpgaSNku4opF0qaWV+rZW0MqdPkfSnwrFvF645VNLtknolnZuXCEHSOEnLJa3OX8fWqyxmZmZmZmbWOerZInwxMKOYEBHvjYhpETGNNAPqjwuH7ysdi4hTCunnA3NI62ZOLdxzLnB1REwFrs77ZmZmZmZmZgOqW0U4Iq4DNpc7llt138OOa2X2P28CsHtEXB8RASwC3p4PzwQW5u2FhXQzMzMzMzOzipo1Rvj1wIaIWF1I20/SbZKulfT6nDYR6Cuc05fTAPaOiPUA+ete9c60mZmZmZmZtb/RTXrfE3hua/B6YHJEPCzpUOCnkg4CVObaGOqbSZpD6l7N5MmTh5FdMzMzMzMz6xQNbxGWNBp4J3BpKS0inoqIh/P2LcB9wCtILcCTCpdPAtbl7Q2563SpC/XGSu8ZEfMjoiciesaPH1/L4piZmZmZmVmbaUbX6LcA90TEs12eJY2XNCpv70+aFGtN7vL8uKTpeVzxScCV+bIlwOy8PbuQbmZmZmZtTNIBhdVEVkp6TNInK60aouTcvMrIKkmHFO41O5+/WtLsQnrZlUnMrDvUc/mkS4DrgQMk9Uk6OR+axY6TZL0BWCXpt8DlwCkRUZpo66PAhUAvqaX4qpw+DzhK0mrgqLxvZmZmZm0uIu4trDRyKPAk8BMqrxpyLNtXGJlDWnUESeOAM4DDgcOAMwpLblZamcTMukDdxghHxAkV0t9fJu0K0nJK5c5fARxcJv1h4MiR5dLMzMzMWtyRpGU2fydpJnBETl8IXAN8hrSayKK8ysgNksbkoXNHAMtLDSySlgMzJF1DXpkkp5dWJik1uJhZh2vWrNFmZmZmZtUo9iastGrIRODBwjWllUYGSq+0MomZdQFXhM3MzMysJUnaCXgb8KPBTi2TFsNIL5eHOZJWSFqxadOmQbJhZu3CFWEzMzMza1XHArdGxIa8X2nVkD5g38J1pZVGBkqvtDLJc3j1EbPO5IqwmVkTSFogaaOkOwppZ0p6qDBL6nGFY6fnmU3vlXRMIX1GTuuVNLeQvp+kG/MsqZfmVhUzs3ZzAs+dZLXSqiFLgJPy7NHTgUdz1+llwNGSxuZJso4Glg2yMomZdQFXhM3MmuNiys9Qek5pptSIWAog6UDSGLmD8jXfkjQqLzt3HqnF5EDghHwuwJfzvaYCW4CT+7+RmVkrk7QbaWWQHxeSK60ashRYQ1pl5ALgYwB5kqyzgJvz64tVrExiZl2gbrNGm5lZZRFxnaQpVZ4+E1gcEU8B90vqJS0DAtAbEWsAJC0GZkq6G3gz8Lf5nIXAmeTlRMzM2kFEPAns0S+t7KohebboUyvcZwGwoEx62ZVJzKw7uEXYzKy1nCZpVe46XVrrcqizoe4BPBIRW/ulm5mZmRluETYzayXnk7rwRf76VeCDVJ7dtNyHmUOaDRXSjKjAHIDJkycPLccVTJn785rcx8zMzKwe3CJsZtYiImJDRGyLiGdIY9xK3Z+HOhvqH4Axkkb3S6/0vp4R1czMzLqKK8JmZi2itCRI9g6gNKP0EmCWpJ0l7QdMBW4iTfwyNc8QvRNpQq0leazcr4F35euLM6uamZmZdT13jTYzawJJlwBHAHtK6gPOAI6QNI3UjXkt8BGAiLhT0mXAXcBW4NSI2JbvcxppeZBRwIKIuDO/xWeAxZK+BNwGXNSgoo3IQF2q1847voE5MTMzs07mirCZWRNExAllkitWViPibODsMulLScuG9E9fw/au1WZmZmZW4K7RZmZmZmZm1lVcETYzMzMzM7Ou4q7RZi3CYyPNzMzMzBqjbi3CkhZI2ijpjkLamZIekrQyv44rHDtdUq+keyUdU0ifkdN6Jc0tpO8n6UZJqyVdmmdMNTMzMzMzMxtQPbtGXwzMKJN+TkRMy6+lAJIOJC37cVC+5luSRkkaBZwHHAscCJyQzwX4cr7XVGALcHIdy2JmZmZmZmYdom4V4Yi4Dthc5ekzgcUR8VRE3A/0kmY7PQzojYg1EfE0sBiYKUnAm4HL8/ULgbfXtABmZmZmZmbWkZoxWdZpklblrtNjc9pE4MHCOX05rVL6HsAjEbG1X7qZmZmZmZnZgBpdET4feBkwDVgPfDWnq8y5MYz0siTNkbRC0opNmzYNLcdmZmZmZmbWURpaEY6IDRGxLSKeAS4gdX2G1KK7b+HUScC6AdL/AIyRNLpfeqX3nR8RPRHRM378+NoUxszMzMzqRtIYSZdLukfS3ZL+StI4ScvzZKnLS70LlZybJ1ddJemQwn1m5/NXS5pdSD9U0u35mnPz0Dsz6xINrQhLmlDYfQdQmlF6CTBL0s6S9gOmAjcBNwNT8wzRO5Em1FoSEQH8GnhXvn42cGUjymBmZmZmDfEN4BcR8T+AVwN3A3OBq/NkqVfnfUgTq07NrzmkXohIGgecARxOaoA5ozA07/x8bum6cpO8mlmHqufySZcA1wMHSOqTdDLwL/mTt1XAm4C/B4iIO4HLgLuAXwCn5pbjrcBpwDJS8LssnwvwGeBTknpJY4YvqldZzMzMzKxxJO0OvIH8fBcRT0fEI6QJVhfm04qTpc4EFkVyA6nn4ATgGGB5RGyOiC3AcmBGPrZ7RFyfG1gW4YlXzbrK6MFPGZ6IOKFMcsXKakScDZxdJn0psLRM+hq2d602MzMzs86xP7AJ+K6kVwO3AJ8A9o6I9QARsV7SXvn8oU68OjFv9083sy7RjFmjzczMzMwGMho4BDg/Il4D/JHt3aDLqdvEq5501awz1a1F2MzMrJamzP15xWNr5x3fwJyYWQP0AX0RcWPev5xUEd4gaUJuDZ4AbCycX2ni1SP6pV+T0yeVOX8HETEfmA/Q09NTcZUSM2svbhE2MzMzs5YSEb8HHpR0QE46kjSXzBLSJKnw3MlSlwAn5dmjpwOP5i7Uy4CjJY3Nk2QdDSzLxx6XND3PFn0SnnjVrKu4RdjMzMzMWtH/Bn6QVw5ZA3yA1IhzWZ6E9QHg3fncpcBxQC/wZD6XiNgs6SzSSiQAX4yIzXn7o8DFwK7AVfllZl3CFWEzMzMzazkRsRLoKXPoyDLnBnBqhfssABaUSV8BHDzCbJpZm3LXaDOzJpC0QNJGSXcU0v6fpHskrZL0E0ljcvoUSX+StDK/vl245tC8LF2vpHNzFz8kjZO0XNLq/HXsjrkwMzMz606uCJuZNcfFwIx+acuBgyPiVcB/A6cXjt0XEdPy65RC+vnAHGBqfpXuORe4OiKmAlcz8GyrZmZmZl3FFWEzsyaIiOuAzf3SfhkRW/PuDTx3RtMd5BlTd4+I63O3wEXA2/PhmcDCvL2wkG5mZmbW9VwRNjNrTR/kuRO37CfpNknXSnp9TptIWgKkpC+nAeydZ0Ulf92r3hk2MzMzaxeeLMvMrMVI+hywFfhBTloPTI6IhyUdCvxU0kGAylw+5DUuJc0hda9m8uTJw8u0mZmZWRtxi7CZWQuRNBt4K3Bi7u5MRDwVEQ/n7VuA+4BXkFqAi92nJwHr8vaG3HW61IV6Y6X3jIj5EdETET3jx4+vdZHMzMzMWo4rwmZmLULSDOAzwNsi4slC+nhJo/L2/qRJsdbkLs+PS5qeZ4s+CbgyX7YEmJ23ZxfSzczMzLqeu0abmTWBpEuAI4A9JfUBZ5Bmid4ZWJ5XQbohzxD9BuCLkrYC24BTIqI00dZHSTNQ70oaU1waVzwPuEzSycADwLsbUCwzMzOztuCKsJlZE0TECWWSL6pw7hXAFRWOrQAOLpP+MHDkSPJoZmZm1qncNdrMzMzMzMy6St0qwpIWSNoo6Y5C2v+TdI+kVZJ+ImlMTp8i6U+SVubXtwvXHCrpdkm9ks7N4+CQNE7Sckmr89ex9SqLmZmZmZmZdY56tghfDMzol7YcODgiXgX8N2k8XMl9ETEtv04ppJ9PWtZjan6V7jkXuDoipgJX530zMzMzMzOzAdWtIhwR1wGb+6X9MiK25t0beO6yHzvIS37sHhHX52VEFgFvz4dnAgvz9sJCupmZmZmZmVlFVVWEJe0wEUsNfJDts5sC7CfpNknXSnp9TptIWiezpC+nAeydlw4hf92r0htJmiNphaQVmzZtql0JzMyoW4w0M+sIjpFm1oqqbRH+tqSbJH2sNK53JCR9DtgK/CAnrQcmR8RrgE8BP5S0O6Ayl8dQ3y8i5kdET0T0jB8/frjZNjOrpKYx0syswwwrRkpam+eJWSlpRU4rO0eMknPznDKrJB1SuM/sfP5qSbML6WXnoTGz7lBVRTgi/ho4EdgXWCHph5KOGs4b5gD0VuDE3N2ZiHgqL/VBRNwC3Ae8gtQCXOw+PQlYl7c35K7TpS7UG4eTHzOzkapljDQz6zQjjJFvyvPH9OT9SnPEHMv2+WTmkOaYQdI40jrthwOHAWcUJlitNA+NmXWBqscIR8Rq4PPAZ4A3AufmGaDfWe09JM3I178tIp4spI+XNCpv708KRmtyl+fHJU3Pn9KdBFyZL1sClD7Vm11INzNruFrESDOzTlXDGFlpjpiZwKJIbgDG5IaSY4DlEbE5IraQJm6dMcg8NGbWBaodI/wqSecAdwNvBv4mIl6Zt8+pcM0lwPXAAZL6JJ0MfBN4EbC83zJJbwBWSfotcDlwSkSUJtr6KHAh0EtqKS6NK54HHCVpNXBU3jcza7jhxEgzs24xghgZwC8l3SJpTk6rNEfMRODBwrWleWUGSq80D03//HuuGbMONLrK874JXAB8NiL+VEqMiHWSPl/ugog4oUzyRRXOvQK4osKxFcAOkyzkrtRHDp51M7O6G3KMNDPrIsONka/L5+xFakS5Z4BzK80rM9T0HRMj5gPzAXp6eoY8V42ZtaZqK8LHAX+KiG0Akp4H7BIRT0bE9+qWOzOz9uAYaWZW2bBiZESsy183SvoJaYzvBkkTImJ9vzli+khjkEtK88r0AUf0S7+GgeehMbMuUO0Y4V8Buxb2d8tpZmbmGGlmNpAhx0hJL5D0otI2cDRwB5XniFkCnJRnj54OPJq7Ti8DjpY0Nk+SdTSwbJB5aMysC1TbIrxLRDxR2omIJyTtVqc8mZm1G8dIM7PKhhMj9wZ+klc0Gg38MCJ+Ielm4LI898wDwLvz+UtJLc+9wJPAB/J7bZZ0FnBzPu+L/eahuZhUSb+K7fPQmFkXqLYi/EdJh0TErZDWXQP+NMg1ZmbdwjHSzKyyIcfIiFgDvLpMetk5YvLMz6dWuNcCYEGZ9LLz0JhZd6i2IvxJ4EeSSmMnJgDvrU+WzMzajmOkmVlljpFm1nKqqghHxM2S/gdwAGmWvXsi4i91zZmZWZtwjGy+KXN/XvHY2nnHNzAnZtafY6SZtaJqW4QBXgtMyde8RhIRsaguuTIzaz+OkWZmlTlGmllLqaoiLOl7wMuAlcC2nByAA5h1Jbc+WdFwY6SkBcBbgY0RcXBOGwdcSnpgXAu8JyK25FlNv0GaDOZJ4P2F8XazgdJanF+KiIU5/VC2TwSzFPhEHkdnZtYwfo40s1ZUbYtwD3CgH6DMzMoaboy8GPgmz30YnAtcHRHzJM3N+58BjgWm5tfhwPnA4bnifEbOQwC3SFoSEVvyOXOAG0gV4Rl4VlQzazw/R5pZy6l2HeE7gJfUMyNmZm1sWDEyIq4DNvdLngkszNsLgbcX0hdFcgMwRtIE4BhgeURszpXf5cCMfGz3iLg+P3wuKtzLzKyR/BxpZi2n2hbhPYG7JN0EPFVKjIi31SVXZik6FBgAACAASURBVGbtpZYxcu+IWJ+vXy9pr5w+EXiwcF5fThsova9M+g4kzSG1HDN58uRhZNnMbEB+jjSzllNtRfjMembCzKzNndmA91CZtBhG+o6JEfOB+QA9PT3uumhmtXZmszNgZtZftcsnXSvppcDUiPiVpN2AUfXNmplZe6hxjNwgaUJuDZ4AbMzpfcC+hfMmAety+hH90q/J6ZPKnG9m1lB+jjSzVlTVGGFJHwYuB76TkyYCP61XpszM2kmNY+QSYHbeng1cWUg/Scl04NHchXoZcLSksZLGAkcDy/KxxyVNzzNOn1S4l5lZw/g50sxaUbVdo08FDgNuBIiI1YVxaxV5aRAz6xLDjZGXkFpz95TUR5r9eR5wmaSTgQeAd+fTl5LiYy8pRn4gv9dmSWcBN+fzvhgRpQm4Psr2GHkVXTpjtJc7M2u6YcVIM7N6qrYi/FREPJ3qqiBpNBXGmvVzMV4axMw637BiZEScUOHQkWXODdLDZLn7LAAWlElfARw8WD7MzOpsuM+RZmZ1U+3ySddK+iywq6SjgB8B/zbYRV4axMy6xLBipJlZl3CMNLOWU21FeC6wCbgd+Aip9fXzA15R2XOWBgHqvjSImVmd1TJGmpl1GsdIM2s51c4a/QxwQX7VS92WBvEamWZWTw2KkWZmbWkkMVLSKGAF8FBEvFXSfsBiYBxwK/C+3O16Z1LvwEOBh4H3RsTafI/TgZOBbcDHI2JZTp9Bmp9mFHBhRMwbUUHNrK1UVRGWdD9lKpkRsf8w3rPhS4N4jUxrpIEm5rHOVOMYaWbWUUYYIz8B3A3snve/DJwTEYslfZtUwT0/f90SES+XNCuf915JBwKzgIOAfYBfSXpFvtd5wFGkZ8qb8xw0dw23nGbWXqqdLKunsL0LaRbTccN8z9LSIPPYcWmQ0yQtJk2W9WiuLC8D/jkvCwJpaZDT80ypj+dlRG4kLQ3yr8PMk5nZSNQyRpqZdZphxUhJk4DjgbOBT+UVRt4M/G0+ZSFwJqkiPDNvQ1qq6Zv5/JnA4oh4CrhfUi9pBmuA3ohYk99rcT7XFWGzLlHVGOGIeLjweigivk4KRAPKS4NcDxwgqS8vBzIPOErSatKncKVuKEuBNaSlQS4APpbfezNQWhrkZnZcGuTCfM19eMZoM2uC4cZIM7NuMIIY+XXgH4Bn8v4ewCMRsTXvF+eHeXZOmXz80Xz+UOeg2YGkOZJWSFqxadOmKrJtZu2g2q7RhxR2n0f6ZO9Fg13npUHMrBsMN0aamXWD4cRISW8FNkbELZKOKCWXOTUGOVYpvVxjUNnhcx5iZ9aZqu0a/dXC9lZgLfCemufGzKw9OUaamVU2nBj5OuBtko4jdafendRCPEbS6NzqW5wfpjTXTF9ep/jFpCU8K81BwwDpZtYFqp01+k31zoiZWbtyjDQzq2w4MTIiTgdOB8gtwv8nIk6U9CPgXaSZo/vPNTObNCTvXcC/R0RIWgL8UNLXSJNlTQVuIrUUT82zUD9EmlCrNPbYzLpAtV2jPzXQ8Yj4Wm2yY2bWfhwjzcwqq3GM/AywWNKXgNuAi3L6RcD38mRYm0kVWyLiTkmXkSbB2gqcGhHbcr5OA5aRlk9aEBF3DiEfZtbmhjJr9GtJn7YB/A1wHc+dZMDMrFs5RpqZVTaiGBkR15CWziTP8nxYmXP+TJqNutz1Z5Nmnu6fvpQ0WauZdaFqK8J7AodExOMAks4EfhQRH6pXxszM2ohjpJlZZY6RZtZyqlo+CZgMPF3YfxqYUvPcmJm1J8dIM7PKHCPNrOVU2yL8PeAmST8hTS3/DmBR3XJlZtZeHCPNzCpzjDSzllPtrNFnS7oKeH1O+kBE3Fa/bJmZtQ/HSDOzyhwjzawVVds1GmA34LGI+AZpjbb96pQnM7N25BhpZlaZY6SZtZRql086gzTj3wHAd4HnA98nLXZu1rKmzP35gMfXzju+QTmxTlbLGCnpAODSQtL+wD8BY4APA5ty+mfzjKdIOh04GdgGfDwiluX0GcA3SEuDXBgR84ZcODOzEfJzpJm1omrHCL8DeA1wK0BErJP0orrlysysvdQsRkbEvcA0AEmjgIeAnwAfAM6JiK8Uz5d0IGm9zIOAfYBfSXpFPnwecBTQB9wsaUlE3DWcfJmZjYCfI82s5VRbEX46IkJSAEh6QR3zZGb9DNSy7VbtllCvGHkkcF9E/E5SpXNmAosj4ingfkm9bF9jszevuYmkxflcV4TNrNH8HGlmLafaMcKXSfoOMEbSh4FfARfUL1tmZm2lXjFyFnBJYf80SaskLZA0NqdNBB4snNOX0yqlm5k1mp8jzazlVDtr9FckHQU8Rhrf8U8RsbyuOTMzaxP1iJGSdgLeBpyek84HziItPXIW8FXgg0C5puKg/AedUeG95gBzACZPnjySbJuZ7cDPkWbWigatCOcxassi4i2Ag5aZWUEdY+SxwK0RsQGg9DW/5wXAz/JuH7Bv4bpJwLq8XSn9OSJiPjAfoKenp2xl2cxsOPwcaWatatCu0RGxDXhS0otr8YaSDpC0svB6TNInJZ0p6aFC+nGFa06X1CvpXknHFNJn5LReSXNrkT8zs6GodYwsOIFCt2hJEwrH3gHckbeXALMk7ZyXI5kK3ATcDEyVtF9uXZ6VzzUza5g6xkgzsxGpdrKsPwO3S1oO/LGUGBEfH+obekZUM+tANYuRAJJ2I8W2jxSS/0XSNFL35rWlYxFxp6TLSJNgbQVOzQ+eSDoNWEZaPmlBRNw5nPyYmY1QTWOkmVktVFsR/nl+1ZpnRDWzTlDTGBkRTwJ79Et73wDnnw2cXSZ9KbC0VvkyMxumej1HmpkN24AVYUmTI+KBiFhYp/cvNyPqScAK4NMRsYU0y+kNhXOKM5/2nxH18Drl08xsBw2IkWZmbWskMVLSLsB1wM6k59XLI+KMPARkMTCOtC7x+yLiaUk7A4uAQ4GHgfdGxNp8r9OBk4FtwMcjYllOnwF8g9Rr5sKImDeiAptZWxlsjPBPSxuSrqjlGxdmRP1RTjofeBmp2/R60oyoUHlG1Erp5d5rjqQVklZs2rRpRPk2MyuoW4w0M+sAI4mRTwFvjohXk54NZ0iaDnyZNJRuKrCFVMElf90SES8Hzsnn9R9iNwP4lqRReXjeeaSJCQ8ETsjnmlmXGKwiXKxs7l/j995hRtSI2BYRz5DWlit1f640I+pAM6U+R0TMj4ieiOgZP358jYthZl2snjHSzKzdDTtGRvJE3n1+fgXwZuDynL4QeHvenpn3ycePVBp39+wQu4i4HygNsTuMPMQuIp4mtTLPHEoezay9DVYRjgrbteAZUc2s3dUzRpqZtbsRxcjccrsS2Ehaeuk+4JGI2JpPKQ6Xm0geMpePP0qaa+HZ9H7XVEovlw/3LDTrQINNlvVqSY+RPtHbNW+T9yMidh/Om3pGVGsHU+Z6Xg8bVF1ipJlZhxhRjMzPe9MkjSGtMPLKcqcV7lnuWKX0co1BZSvrXmvdrDMNWBGOiFH1eFPPiGpmnaBeMdLMrBPUKkZGxCOSrgGmA2Mkjc6tvsVhcaUhc32SRgMvBjYz8FC6qobYmVlnGqxrtJmZmZlZQ0kan1uCkbQr8BbgbuDXwLvyabOBK/P2krxPPv7vERF4iJ2ZVVDtOsJmZmZmZo0yAViYZ3d+HnBZRPxM0l3AYklfAm4DLsrnXwR8T1IvqSV4FniInZlV5oqwmZmZmbWUiFgFvKZM+hq2ryxSTP8z8O4K9/IQOzPbgSvCZmbWtQaaFG/tvOMbmBMzMzNrJI8RNjMzMzMzs67iirCZmZmZmZl1FVeEzczMzMzMrKu4ImxmZmZmZmZdxRVhMzMzMzMz6yquCJuZmZmZmVlX8fJJ1tUGWjrFzMzMzMw6k1uEzcxajKS1km6XtFLSipw2TtJySavz17E5XZLOldQraZWkQwr3mZ3PXy1pdrPKY2ZmZtZq3CJsZtaa3hQRfyjszwWujoh5kubm/c8AxwJT8+tw4HzgcEnjgDOAHiCAWyQtiYgtjSxEOxusx8jaecc3KCdmZmZWa24RNjNrDzOBhXl7IfD2QvqiSG4AxkiaABwDLI+IzbnyuxyY0ehMm5mZmbUiV4TNzFpPAL+UdIukOTlt74hYD5C/7pXTJwIPFq7ty2mV0s3MzMy6XtMqwh4DZ2ZW0esi4hBSt+dTJb1hgHNVJi0GSN/xBtIcSSskrdi0adPQc2tmZmbWZprdIvymiJgWET15vzQGbipwdd6H546Bm0MaA0dhDNzhwGHAGaXKs5lZu4qIdfnrRuAnpPi2IXd5Jn/dmE/vA/YtXD4JWDdAern3mx8RPRHRM378+FoWxcxsWCTtK+nXku6WdKekT+T0mjWaSDo0N8r05mvLfYBoZh2q2RXh/jwGzsy6mqQXSHpRaRs4GrgDWAKUHuBmA1fm7SXASfkhcDrwaO46vQw4WtLY/KB4dE4zM2sHW4FPR8Qrgemk3jEHUttGk/PzuaXr/Axp1kWaOWt0aQxcAN+JiPn0GwMnyWPgushAM7QONDur1wK2DrM38JPcMDEa+GFE/ELSzcBlkk4GHgDenc9fChwH9AJPAh8AiIjNks4Cbs7nfTEiNjeuGGZmw5efB0vPhI9Lupv0jDcTOCKfthC4hjSD/rONJsANkkqNJkeQG00AJC0HZki6Btg9Iq7P6YtIDTBXNaJ8ZtZ8zawIvy4i1uXK7nJJ9wxw7ojGwOXJZuYATJ48eTh5NTNriIhYA7y6TPrDwJFl0gM4tcK9FgALap1HM7NGkjQFeA1wI7VrNJmYt/unm1mXaFrX6EaOgfP4NzMzM7P2I+mFwBXAJyPisYFOLZM2UKOJJxQ063JNqQh7DJyZmZmZDUTS80mV4B9ExI9zcq0aTfrydv/0HbhBxawzNatFeG/gN5J+C9wE/DwifgHMA46StBo4Ku9DGgO3hjQG7gLgY5DGwAGlMXA34zFwZmZmZm0vz+B8EXB3RHytcKgmjSb52OOSpuf3OqlwLzPrAk0ZI+wxcGZm7c2T1JlZnb0OeB9wu6SVOe2zpEaSWk0c+FHgYmBX0iRZnijLrIs0c7IsMzMzM7MdRMRvKD+OF2rUaBIRK4CDR5BNM2tjrghbW3Drk5mZmXWCwZ5pBloy0sxqp2mzRpuZmZmZmZk1g1uEzczMhmGgVh236JiZmbU2twibmZmZmZlZV3GLsNWcW0nMzMzMzKyVuUXYzMzMzMzMuoorwmZmZmZmZtZVXBE2MzMzMzOzruKKsJmZmZmZmXUVV4TNzMzMzMysq7gibGZmZmZmZl3FyydZQw20tJKZmZmZmVkjuEXYzKyFSNpX0q8l3S3pTkmfyOlnSnpI0sr8Oq5wzemSeiXdK+mYQvqMnNYraW4zymNmZmbWitwibGbWWrYCn46IWyW9CLhF0vJ87JyI+ErxZEkHArOAg4B9gF9JekU+fB5wFNAH3CxpSUTc1ZBSdLmBer+snXd8A3NiZmZm5TS8IixpX2AR8BLgGWB+RHxD0pnAh4FN+dTPRsTSfM3pwMnANuDjEbEsp88AvgGMAi6MiHmNLEs3cxdns/qIiPXA+rz9uKS7gYkDXDITWBwRTwH3S+oFDsvHeiNiDYCkxflcV4TNrOVJWgC8FdgYEQfntHHApcAUYC3wnojYIkmk58HjgCeB90fErfma2cDn822/FBELc/qhwMXArsBS4BMREQ0pnJm1hGZ0jS61drwSmA6cmls0ILV2TMuvUiW42NoxA/iWpFGSRpFaO44FDgROKNzHzKztSZoCvAa4MSedJmmVpAWSxua0icCDhcv6clql9HLvM0fSCkkrNm3aVO4UM7NGu5j03Fc0F7g6IqYCV+d9SM+CU/NrDnA+PFtxPgM4nPQB4RmF2Hl+Prd0Xf/3MrMO1/CKcESsL31KFxGPA1W3dkTE/UCpteMwcmtHRDwNlFo7zMzanqQXAlcAn4yIx0gPbS8DppFajL9aOrXM5TFA+o6JEfMjoiciesaPHz/ivJuZjVREXAds7pc8E1iYtxcCby+kL4rkBmCMpAnAMcDyiNgcEVuA5cCMfGz3iLg+twIvKtzLzLpEUyfLcmuHmdmOJD2fVAn+QUT8GCAiNkTEtoh4BriA7d2f+4B9C5dPAtYNkG5m1q72zsNHSsNI9srpQ31WnJi3+6ebWRdp2mRZ/Vs7JJ0PnEVqsTiL1NrxQSq3apSrxFds7QDmA/T09Hj8h5m1rDzW7SLg7oj4WiF9QukBEHgHcEfeXgL8UNLXSJNlTQVuIsXOqZL2Ax4iDTH528aUwgbiibTMam6oPWOq7jEDqUGF1I2ayZMnDyd/ZtaCmlIRrtTaUTh+AfCzvDtQq4ZbO8ys07wOeB9wu6SVOe2zpHkQppEe1tYCHwGIiDslXUaaBGsrcGpEbAOQdBqwjDSh4IKIuLORBTEzq7ENpQ8Fc/fmjTl9oJ4xR/RLvyanTypzflluUDHrTM2YNdqtHWZmFUTEbyjfWrF0gGvOBs4uk750oOvMzNrMEmA2MC9/vbKQflqeHf9w4NFcWV4G/HNhuN3RwOkRsVnS45Kmk4bnnQT8ayMLYmbN14wWYbd2mJmZmVlFki4htebuKamPNPvzPOAySScDDwDvzqcvJS2d1EtaPukDALnCexZwcz7vixFRmoDro2xfPumq/DKzLtLwirBbO8zMzGrL446t00TECRUOHVnm3ABOrXCfBcCCMukrgINHkkcza29NnTXazMzMzMzMrNGaNmu0Nd9ALQjgVgQzs0Zzy66ZmVljuCJs1ub84GxmZmZmNjTuGm1mZmZmZmZdxRVhMzMzMzMz6yquCJuZmZmZmVlX8Rhhq2iwybTMzKxxHJPNzMxqxxVhMzOzDuYJ9czai/9mzRrDXaPNzMzMzMysq7hF2MzMrEu55cnMzLqVK8JmZmZmZm3OH2yZDY0rwmZmZjZkfug2M7N25opwh/Mso2ZmNhwj+f/hSrJZffi5zqx2XBHuAA6KZmbW6Vy5Nhs+//2Y7ajtK8KSZgDfAEYBF0bEvCZnqS5c2TWz4eiWGGmdYbj/61rtIb/V8mOVOUYO/+/Ov8vW7tq6IixpFHAecBTQB9wsaUlE3NXcnJmZNZ9jpLWiTvlgt1PK0c0cI826W1tXhIHDgN6IWAMgaTEwE2jLAOZ/qmZWYx0VI82GYySts/X4v+zW4pbiGDkCI/n7GOh33X8j1ijtXhGeCDxY2O8DDm9SXp7lCq2ZtYiWjJFmrcL/r7ueY2ST1GMYxEC6oQLtDxCGrt0rwiqTFjucJM0B5uTdJyTdW9dcNdeewB+anYkGcnkHoC/XMSf199JmZ6AD1DNGdurfXieWqxPLBB1YLn15SGVyjBw5x8ihadsyDfA81LZlGsAOZWrz50EY3s9p0BjZ7hXhPmDfwv4kYF3/kyJiPjC/UZlqJkkrIqKn2floFJfXbEB1i5Gd+rvYieXqxDJBZ5arE8vU4hwjh8Blag8uU/WeV+sbNtjNwFRJ+0naCZgFLGlynszMWoVjpJlZZY6RZl2srVuEI2KrpNOAZaRp7xdExJ1NzpaZWUtwjDQzq8wx0qy7tXVFGCAilgJLm52PFtIVXcALXF6zAdQxRnbq72InlqsTywSdWa5OLFNLc4wcEpepPbhMVVLEDnMCmJmZmZmZmXWsdh8jbGZmZmZmZjYkrgi3KUn7Svq1pLsl3SnpEzl9nKTlklbnr2ObnddakjRK0m2Sfpb395N0Yy7vpXmyi44gaYykyyXdk3/Of9XpP19rD5JmSLpXUq+kuc3Oz0AkLZC0UdIdhbSyf0dKzs3lWiXpkMI1s/P5qyXNbkZZiob6P6AdyiZpF0k3SfptLtMXcnrZOC9p57zfm49PKdzr9Jx+r6RjmlOi7ar939VOZbLKWj1G1jsuSjpU0u35mnMllVumqpblqXs8bEKZ6h4Pm/V7Ws94OOQyRYRfbfgCJgCH5O0XAf8NHAj8CzA3p88FvtzsvNa43J8Cfgj8LO9fBszK298GPtrsPNawrAuBD+XtnYAxnf7z9av1X6QJZe4D9s+/l78FDmx2vgbI7xuAQ4A7Cmll/46A44CrSGuLTgduzOnjgDX569i8PbbJ5RrS/4B2KFvO2wvz9vOBG3Ney8Z54GPAt/P2LODSvH1g/r3cGdgv/76OavLPq6r/Xe1UJr8q/qxbPkbWOy4CNwF/la+5Cji2zuWpezxsQpnqGg+b+Xtar3g4nDK5RbhNRcT6iLg1bz8O3A1MBGaSKlDkr29vTg5rT9Ik4Hjgwrwv4M3A5fmUjimvpN1J/6guAoiIpyPiETr452tt4zCgNyLWRMTTwGLS72VLiojrgM39kiv9Hc0EFkVyAzBG0gTgGGB5RGyOiC3AcmBG/XNf2TD+B7R82XLensi7z8+voHKcL5b1cuDI/H9hJrA4Ip6KiPuBXtLvbVMM8X9XW5TJBtTyMbKecTEf2z0iro9Ua1lEnZ9V6h0Pm1SmesfDpvye1jkeDrlMrgh3gNxV4DWkT4v2joj1kAIDsFfzclZzXwf+AXgm7+8BPBIRW/N+HynwdYL9gU3Ad3P3kQslvYDO/vlae5gIPFjYb8e/u0p/R5XK1tJlrvJ/QFuULXeZWwlsJD2E3kflOP9s3vPxR0n/F1qqTAztf1e7lMkqa9efVa1ix8S83T+9IeoUD5tSpjrHw2b9ntYzHg65TK4ItzlJLwSuAD4ZEY81Oz/1IumtwMaIuKWYXObUTpkGfTSp29L5EfEa4I+kbj1mzdbJf3eVytayZR7C/4C2KFtEbIuIacAk0qf7ryx3Wv7a8mUaxv+uli+TDarTflZD/Z1sWvnrGA+bUqY6x8OGl6kB8XDIZXJFuI1Jej7pD/4HEfHjnLwhd+Egf93YrPzV2OuAt0laS+rq8GbSp0pjJJXWw54ErGtO9mquD+iLiBvz/uWkinGn/nytffQB+xb22/HvrtLfUaWytWSZh/g/oK3KloeCXEMaE1cpzj+b93z8xaTunq1UpqH+72qHMtnA2vVnVavY0Ze3+6fXVZ3jYVPKVFKneNiM39N6x8Mhl8kV4TaV+8hfBNwdEV8rHFoClGa5mw1c2ei81UNEnB4RkyJiCmnA/L9HxInAr4F35dM6qby/Bx6UdEBOOhK4iw79+VpbuRmYmmd53In097ikyXkaqkp/R0uAk5RMBx7N3emWAUdLGqs06+jROa1phvE/oOXLJmm8pDF5e1fgLaSxfpXifLGs7yL9X4icPivPOLofMJU00U3DDeN/V8uXyQbVrjGyJrEjH3tc0vQcp06izs8q9Y6HTSpTveNhw39PGxAPh16maMDsYH7VZca1vyY1968CVubXcaS+81cDq/PXcc3Oax3KfgTbZ5rbP//y9wI/AnZudv5qWM5pwIr8M/4paQbDjv/5+tX6rxxr/ps0Xulzzc7PIHm9BFgP/IX0afHJlf6OSN2qzsvluh3oKdzngznO9AIfaIFyDel/QDuUDXgVcFsu0x3AP+X0snEe2CXv9+bj+xfu9blc1nup8+yuQyjfoP+72q1MflX8Wbd0jKx3XAR68t/wfcA3AdW5PHWPh00oU93jYTN/T+sVD4daJuWLzMzMzMzMzLqCu0abmZmZmZlZV3FF2MzMzMzMzLqKK8JmZmZmZmbWVVwRNjMzMzMzs67iirCZmZmZmZl1FVeEzczMzMzMrKu4ImxmZmZmZmZdxRVhMzMzMzMz6yquCJuZmZmZmVlXcUXYzMzMzMzMuoorwmZmZmZmZtZVXBE2MzMzMzOzruKKsJmZmZmZmXUVV4TNzMz+f3v3Hm5pXdd9/P0RPB8CZDTk4KDPdEAvRZuUsqdIQxEzsisN81E0czrgY5aVQBbkoainPD0phoqAqYiaiQLSSB4eK5WBCORgjDA540wwCAoeUsHv88f6bVns2Wvvtffstde99nq/rmtde63fug/ftWbz4f7d9+/+bUmSNFXsCEuSJEmSpoodYUmSJEnSVLEjLEmSJEmaKnaEJUmSJElTxY6wJEmSJGmq2BGWJEmSJE0VO8KSJEmSpKliR1iSJEmSNFXsCEuSJEmSpoodYUmSJEnSVLEjLEmSJEmaKnaEtVuSfCLJr6/g/k5O8ncrtb9Z+17Rzypp8k1SRiY5McnbRr0fSZqtq8dYSd6S5I/neb+S/I953t+S5OdGU512lx1hjV2Sw5NsG3cd/TzIk9QVK5WRVfVnVbUsB6Ie/ElaaaPIyqr6zap61ZD7PyPJq5dz/xotO8L6viR7jrsGSeoqM1KSFmZWalLYEZ4C7cz8CUmuSnJLknckudfMmbMkL0/yX8A72vIvSrI5yc1Jzk3ykL5tHZHkmiRfS/I3QPreu8tV1CRr25CRPdvrfdq+t7c6/iHJfYELgIck+Xp7fH9/Q3y2w5L8S5KvJvn3JIf3vfeJJK9K8s9Jbkvyj0n27Xv/eUn+M8lXkvzxzBWMJEcCJwK/0ur5975dPnTQ9uap8af6atya5Pmt/Ywkb05yQdvPPyf5wSSvb9/PNUkeM+x3IWlpVmFG3iPJWS2nrkyyvm+fD0nygSQ7k1yf5CXz1DdnRi60nyTvBA4CPtzq/cMFvn8zUpoAqyUrW83fmjmGS/KKJLcneUB7/eokr2/P73KVN8kfJNnR9v1rfe0bgOcAf9j2/eG+XR6a5PL2Wd+b5F5DfNdHJ7ksya1JvpjesenMse2rW2Z+PcmHkzwwybvashcnWbvQ9tVjR3h6PAd4CvBw4IeAV7T2HwT2AR4KbEjyRODPgWcB+wH/CZwN0ALjA23dfYEvAk9YRA3vBO4DPAJ4EPC6qvoG8FRge1Xdrz22D7OxJPsD5wGvbp/h94EPJFnTt9ivAi9o+7tHW4YkhwBvbt/LfsAPAPsDVNVHgT8D3tvqefRC25unxoPoBfP/BdYAhwKX9S3yLO78Pr8N/CtwaXv9fuC1w3wXknbbasrIIEFx4gAAIABJREFUX2g17QWcC/xNq+9uwIeBf6eXd08CXprkKbM3MF9GLrSfqnou8CXg6a3evxxUqBkpTZyJz8qq+m/gYuBnWtNPt/qe0Pf6k7PXa53R3weOANYB3z8xWFWnAe8C/rLt++l9qz4LOBI4GHgU8Pz5PlySxwFnAX9AL19/GtjSt8gxwHPpZfLD6eXiO+h9/1cDJ823fd3JjvD0+Juq2lpVNwOvAZ7d2r8HnFRV366qb9ELuNOr6tKq+jZwAvAT7ezSUcBVVfX+qvou8Hrgv4bZeZL96AXUb1bVLVX13araJWQW6X8B51fV+VX1varaCGxqdc54R1X9R/ts59A7yAL4ZeDDVfXpqvoO8CdADbHPQdsb5DnAx6rqPe0zf6Wq+g/yPlhVl7RQ/iDw31V1VlXdAbwX8GqHtDJWU0Z+uuXiHfQOGGdO5v04sKaqXllV36mq64C30juomm2YjBy0n8UwI6XJslqy8pPAz7SrzI8C3the34teVv6/OdZ5Fr3jwM+3jvfJQ+7rjVW1vX1nH2bhY8cX0vvuNrbj2y9X1TV977+jqr5YVV+jdyLxi1X1saq6HXgf5uLQ7AhPj619z/8TmBkusrMdYMx4SHsfgKr6OvAVemedHtK/naqqWdudz4HAzVV1y+JLH+ihwDPbcLqvJvkq8FP0zjzO6A/WbwL3a89nf5Zv0vucCxm0vUEOpHemc5Ab+p5/a47XC21f0vJYTRk5O6fu1Q72Hkpv2GB/Zp4IPHiObQyTkYP2sxhmpDRZVktWfhI4HHgscAWwkd4V4sOAzVV10xzr3KVu+j7fAjx27ChvZp8eB/Y9PwiYGS4y+wz/dnoHSwC0ey4eCHwZ2NG/nSSZtd1v0BuqMuMH+55vBfZJsldVfXXWPoe5EjuXrcA7q+pFS1h3B/DDMy+S3Jve59zdmmbbCjxumbYlaXRWY0bOthW4vqrWDbHsQhm5kGFrNiOlybJasvJf6GXcM4BPVtVV7VaNpzHHsOjmLnXT+/xL3f98ttIb8qwR84rw9DguyQFJ9qF3BeC9A5Z7N/CCJIcmuSe9e2U/W1Vb6N2P+4gkv9TO+r+Eu4bTZcBPJzkoyQ/QGwYDQFXtoDd8481J9k5y9yQ/3d6+AXhgW2cx/g54epKnJNmjb8KGA4ZY9/1t3Z9Mcg/gT+mbqKHVtLbdU7c73gX8XJJnJdmzTWiw0JAYSStvNWbkbJ8Dbk1vQpt7t9x8ZJIfn2PZhTJyITcADxtiOTNSmiyrIivbKJdLgOO4s+P7L8BvMLgjfA7w/CSHJLkPu96LO2zuLeTt9L67JyW5W5L9k/zIMmxXs9gRnh7vBv4RuK495vw7Z1V1EfDH9CYx2EHvjNQx7b2bgGcCp9Ab3rIO+Oe+dTfSC8TL6YXLR2Zt/rnAd4FrgBuBl7b1rgHeA1zXhusNNWt0VW0FjqYXxDvpnUH7A4b4va6qK4H/TW/ihh3Aba2mb7dF3td+fiXJpcPUM2A/X6J3L8zLgJvphftS7qOTNFqrLiPnqP0O4On07k+7HrgJeBu9ibBmL7tQRi7kz4FXtHoHTipoRkoTZzVl5SeBu9M7STjz+v7ApwZ8pgvo3c/8T8Dm9rPf24FD2r7/YYF9D1RVn6M3MevrgK+1uh4670pakvSG5Ws1S7IF+PWq+ti4a+mqJPcDvgqsq6rrx12PpJVjRi7MjJRkVmq18YqwplaSpye5T7tv5a/oTZawZbxVSVI3mJGSpNXMjrA6J8kFufOPofc/TlzmXR1NbzKH7fSG5RxTSxgikeQ5A+q9cpnrlSQzUpKGsIJZuZTaThxQ2wXjrm2aODRakiRJkjRVvCIsSZIkSZoqdoQlSZIkSVNlz3EXsNL23XffWrt27bjLkLSASy655KaqWjPuOqaNGSlNBjNyPMxIaTIMk5FT1xFeu3YtmzZtGncZkhaQ5D/HXcM0MiOlyWBGjocZKU2GYTLSodGSJEmSpKliR1iSJEmSNFXsCEuSJEmSpoodYUmSJEnSVLEjLEmSJEmaKnaEJUmSJElTxY6wJEmSJGmqTN3fER63tcefN/C9Lac8bQUrkaTxMAclaTAzUloZXhGWJEmSJE0VO8KSJEmSpKliR1iSJEmSNFXsCEuSJEmSpoodYUmSJEnSVLEjLEmSJEmaKnaEJUmSJElTxY6wJI1BkgOTfDzJ1UmuTPI7rf3kJF9Ocll7HNW3zglJNif5QpKn9LUf2do2Jzm+r/3gJJ9Ncm2S9ya5x8p+SklaGjNS0qjZEZak8bgdeFlV/ShwGHBckkPae6+rqkPb43yA9t4xwCOAI4E3J9kjyR7Am4CnAocAz+7bzl+0ba0DbgFeuFIfTpJ2kxkpaaTsCEvSGFTVjqq6tD2/Dbga2H+eVY4Gzq6qb1fV9cBm4HHtsbmqrquq7wBnA0cnCfBE4P1t/TOBXxzNp5Gk5WVGSho1O8KSNGZJ1gKPAT7bml6c5PIkpyfZu7XtD2ztW21baxvU/kDgq1V1+6z2ufa/IcmmJJt27ty5DJ9IkpaPGSlpFOwIS9IYJbkf8AHgpVV1K3Aq8HDgUGAH8Nczi86xei2hfdfGqtOqan1VrV+zZs0iP4EkjY4ZKWlU9hx3AZI0rZLcnd4B3ruq6u8BquqGvvffCnykvdwGHNi3+gHA9vZ8rvabgL2S7NmuePQvL0mdZ0ZKGiWvCEvSGLT7094OXF1Vr+1r369vsWcAn2/PzwWOSXLPJAcD64DPARcD69rsp/egN1nMuVVVwMeBX27rHwt8aJSfSZKWixkpadRG1hF22ntJmtcTgOcCT5yVh3+Z5IoklwM/C/wuQFVdCZwDXAV8FDiuqu5oVzJeDFxIbzKZc9qyAC8Hfi/JZnr3w719BT+fJO0OM1LSSI1yaPTMtPeXJrk/cEmSje2911XVX/UvPGva+4cAH0vyQ+3tNwFH0Bv2cnGSc6vqKu6c9v7sJG+hN+39qSP8TJK0LKrq08x9j9r586zzGuA1c7SfP9d6VXUdvRlTJWmimJGSRm1kV4Sd9l6SJEmS1EUrco/wuKe9lyRJkiRpxsg7wl2Y9t6//yZJkiRJmjHSjvCgae/b5AXfA97KnfdmDJr2flD796e9n9W+C//+myRJkiRpxihnjXbae0mSJElS54xy1uiZae+vSHJZazsReHaSQ+kNY94C/Ab0pr1PMjPt/e20ae8BksxMe78HcPqsae/PTvJq4N9w2ntJkiRJ0gJG1hF22ntJkiRJUhetyKzRkiRJkiR1hR1hSZIkSdJUsSMsSZIkSZoqdoQlSZIkSVPFjrAkSZIkaaqM8s8nSZIkSeqz9vjzxl2CJLwiLEmSJEmaMnaEJUmSJElTxY6wJEmSJGmq2BGWJEmSJE0VO8KSJEmSpKliR1iSJEmSNFXsCEuSJEmSpoodYUmSJEnSVLEjLEmSJEmaKnaEJUmSJElTxY6wJEmSJGmq2BGWpDFIcmCSjye5OsmVSX6nte+TZGOSa9vPvVt7krwxyeYklyd5bN+2jm3LX5vk2L72H0tyRVvnjUmy8p9UkhbPjJQ0anaEJWk8bgdeVlU/ChwGHJfkEOB44KKqWgdc1F4DPBVY1x4bgFOhd1AInAQ8HngccNLMgWFbZkPfekeuwOeSpOVgRkoaKTvCkjQGVbWjqi5tz28Drgb2B44GzmyLnQn8Ynt+NHBW9XwG2CvJfsBTgI1VdXNV3QJsBI5s7z2gqv61qgo4q29bktRpZqSkUbMjLEljlmQt8Bjgs8CDq2oH9A4EgQe1xfYHtvattq21zde+bY52SZooZqSkUbAjLEljlOR+wAeAl1bVrfMtOkdbLaF9rho2JNmUZNPOnTsXKlmSVowZKWlU7AhL0pgkuTu9A7x3VdXft+Yb2pA92s8bW/s24MC+1Q8Ati/QfsAc7buoqtOqan1VrV+zZs3ufShJWiZmpKRRGllH2Nn+JGmwlldvB66uqtf2vXUuMJNzxwIf6mt/XsvKw4CvtWGBFwJPTrJ3y9MnAxe2925Lcljb1/P6tiVJnWZGShq1UV4RdrY/SRrsCcBzgScmuaw9jgJOAY5Ici1wRHsNcD5wHbAZeCvw2wBVdTPwKuDi9nhlawP4LeBtbZ0vAhesxAeTpGVgRkoaqT1HteF2pm1mMoPbkvTP9nd4W+xM4BPAy+mb7Q/4TJKZ2f4Op832B5BkZra/T9Bm+2vtM7P9GWKSOq+qPs3c96gBPGmO5Qs4bsC2TgdOn6N9E/DI3ShTksbCjJzb2uPPG/jellOetoKVSJNvRe4RdrY/SZIkSVJXjLwj7Gx/kiRJkqQuGWlH2Nn+JEmSJEldM8pZo53tT5IkSZLUOSObLIs7Z/u7Isllre1EerP7nZPkhcCXgGe2984HjqI3c983gRdAb7a/JDOz/cGus/2dAdyb3iRZTpQlSZIkSZrXKGeNdrY/SZIkSVLnrMis0ZIkSZIkdYUdYUmSJEnSVLEjLEmSJEmaKqOcLGtqrT3+vHGXIEmSJEkawI6wJGnRFjrht+WUp61QJZIkSYs31NDoJM7MLEkDmJGSNJgZKamLhr1H+C1JPpfkt5PsNdKKJGnymJGSNJgZKalzhuoIV9VPAc8BDgQ2JXl3kiNGWpkkTQgzUpIGMyMlddHQs0ZX1bXAK4CXAz8DvDHJNUl+aVTFSdKkMCMlaTAzUlLXDHuP8KOSvA64Gngi8PSq+tH2/HUjrE+SOs+MlKTBzEhJXTTsrNF/A7wVOLGqvjXTWFXbk7xiJJVJ0uQwIyVpMDNSUucM2xE+CvhWVd0BkORuwL2q6ptV9c6RVSdJk8GMlKTBzEhJnTPsPcIfA+7d9/o+rU2SZEZK0nzMSEmdM2xH+F5V9fWZF+35fUZTkiRNHDNSkgYzIyV1zrAd4W8keezMiyQ/BnxrnuUlaZqYkZI0mBkpqXOGvUf4pcD7kmxvr/cDfmU0JUnSxDEjJWkwM1JS5wzVEa6qi5P8CPDDQIBrquq7I61MkiaEGSlJg5mRkrpo2CvCAD8OrG3rPCYJVXXWSKqSpMljRkrSYGakpE4ZqiOc5J3Aw4HLgDtacwEGmKSpZ0ZK0mBmpKQuGvaK8HrgkKqqURYjSRNq0RmZ5HTg54Ebq+qRre1k4EXAzrbYiVV1fnvvBOCF9A4iX1JVF7b2I4E3AHsAb6uqU1r7wcDZwD7ApcBzq+o7u/k5JWkpzEhJnTPsrNGfB35wlIVI0gRbSkaeARw5R/vrqurQ9pg5wDsEOAZ4RFvnzUn2SLIH8CbgqcAhwLPbsgB/0ba1DriF3gGiJI2DGSmpc4a9IrwvcFWSzwHfnmmsql8YSVWSNFkWnZFV9akka4fc/tHA2VX1beD6JJuBx7X3NlfVdQBJzgaOTnI18ETgV9syZwInA6cO+4EkaRmZkZI6Z9iO8MmjLEKSJtzJy7itFyd5HrAJeFlV3QLsD3ymb5ltrQ1g66z2xwMPBL5aVbfPsbwkrbSTl3FbZqSkZTHU0Oiq+iSwBbh7e34xvfspJGnqLWNGnkpvQplDgR3AX7f2zLXbJbTPKcmGJJuSbNq5c+egxSRpScxISV007KzRLwI20JtQ4OH0zpq9BXjSPOs4yYGkqbCUjJxLVd3Qt823Ah9pL7cBB/YtegCwvT2fq/0mYK8ke7YrHv3Lz7Xf04DTANavXz/WSRHXHn/ewPe2nPK0FaxE0nIxIyV10bCTZR0HPAG4FaCqrgUetMA6Z+AkB5Kmw1IychdJ9ut7+Qx6E8wAnAsck+Se7STgOuBz9K6qrEtycJJ70MvRc9vMrB8HfrmtfyzwoUV/KklaHmakpM4Z9h7hb1fVd5LeSJIkezLPEBJwkgNJU2XRGZnkPcDhwL5JtgEnAYcnObStuwX4DYCqujLJOcBVwO3AcVV1R9vOi4EL6Y2aOb2qrmy7eDlwdpJXA/8GvH3ZPq0kLY4ZKalzhu0IfzLJicC9kxwB/Dbw4SXuc8UnOUiygd6QHA466KAlli1JAy06I6vq2XM0DzwQq6rXAK+Zo/184Pw52q/jzhOKkjROZqSkzhl2aPTx9O7rvYLe2bfzgVcsYX9jmeSgqk6rqvVVtX7NmjWLq1iSFrZcGSlJq5EZKalzhroiXFXfA97aHks2rkkOJGmUlisjJWk1MiMlddGws0ZfzxxXXKvqYYvZWZL9qmpHezl7koN3J3kt8BDunOQgtEkOgC/Tm+TgV6uqksxMcnA2TnIgaYyWKyMlaTUyIyV10bD3CK/ve34v4Jn0psAfyEkOJE2RRWekJE0RM1JS5ww7NPors5pen+TTwJ/Ms46THEiaCkvJSEmaFmakpC4admj0Y/te3o3emb37j6QiSZowZqQkDWZGSuqiYYdG/3Xf89vpDWt+1rJXI0mTyYyUpMHMSEmdM+zQ6J8ddSGSNKnMSEkazIyU1EXDDo3+vfner6rXLk85kjR5zEhJGsyMlNRFi5k1+sfp/ZkjgKcDnwK2jqIoSZowZuQsa48/b9wlSOoOM1JS5wzbEd4XeGxV3QaQ5GTgfVX166MqTJImiBkpSYOZkZI6525DLncQ8J2+198B1i57NZI0mcxISRrMjJTUOcNeEX4n8LkkHwQKeAZw1siqkqTJYkZK0mBmpKTOGXbW6NckuQD4n63pBVX1b6MrS5ImhxkpSYOZkZK6aNih0QD3AW6tqjcA25IcPKKaJGkSmZGSNJgZKalThuoIJzkJeDlwQmu6O/B3oypKkiaJGSlJg5mRkrpo2HuEnwE8BrgUoKq2J7n/yKqSpMliRkrSYGZkh8335+62nPK0FaxEWlnDDo3+TlUVvQkOSHLf0ZUkSRPHjJSkwcxISZ0z7BXhc5L8LbBXkhcBvwa8dXRlSdJEMSPHzCsaUqeZkZI6Z9hZo/8qyRHArcAPA39SVRtHWpmWhQeH0uiZkZI0mBkpqYsW7Agn2QO4sKp+DjC0JKmPGSlJg5mRkrpqwXuEq+oO4JtJfmAF6pGkiWJGStJgZqSkrhr2HuH/Bq5IshH4xkxjVb1kJFVJ0mQxIyVpMDNSUucM2xE+rz0kSbsyIyVpMDNSUufM2xFOclBVfamqzlypgiRpUpiRK2u+yf8kdY8ZKanLFrpH+B9mniT5wIhrkaRJs1sZmeT0JDcm+Xxf2z5JNia5tv3cu7UnyRuTbE5yeZLH9q1zbFv+2iTH9rX/WJIr2jpvTJKlf1RJWrQlZ6T5KGnUFuoI94fCw0ZZiCRNoN3NyDOAI2e1HQ9cVFXrgIvaa4CnAuvaYwNwKvQODIGTgMcDjwNOmjk4bMts6Ftv9r4kaZR2JyPPwHyUNEILdYRrwHNJ0m5mZFV9Crh5VvPRwMwwwjOBX+xrP6t6PgPslWQ/4CnAxqq6uapuoffnSY5s7z2gqv61qgo4q29bkrQSlpyR5qOkUVuoI/zoJLcmuQ14VHt+a5Lbkty60MYd1iJpldutjBzgwVW1A6D9fFBr3x/Y2rfcttY2X/u2Odp3kWRDkk1JNu3cuXOJZUvSLpY7I1c8H8GMlFareTvCVbVHVT2gqu5fVXu25zOvHzDE9s/AYS2SVqllyMjFmOtEXy2hfdfGqtOqan1VrV+zZs1ulChJd1rBjBxZPoIZKa1WC10R3i0Oa5GkRbuh5Rvt542tfRtwYN9yBwDbF2g/YI52SZpU5qOkZTPSjvAAYxnWIkkT4lxg5haQY4EP9bU/r91GchjwtZahFwJPTrJ3Gy3zZODC9t5tSQ5rt408r29bkjSJzEdJy2bevyO8wkY2rCXJBnpDqDnooIOWWp8kLask7wEOB/ZNso3ebSCnAOckeSHwJeCZbfHzgaOAzcA3gRcAVNXNSV4FXNyWe2VVzYzE+S16t6jcG7igPSSp88xHSaM2jo7wDUn2q6odixjWcvis9k+wiGEtVXUacBrA+vXrnf1aUidU1bMHvPWkOZYt4LgB2zkdOH2O9k3AI3enRkkaB/NR0qiNY2i0w1okSZIkSWMz0ivCDmuRJEmSJHXNSDvCDmuRJEmSJHXNOIZGS5IkSZI0Nl2aNVqSJEnSMlt7/HnjLkHqHDvCHTJfSG055WkrWIkkSZIkrV4OjZYkSZIkTRWvCE8IrxZLkiRJ0vLwirAkSZIkaarYEZYkSZIkTRWHRkuSJEkTzpmhpcXxirAkSZIkaarYEZYkSZIkTRU7wpIkSZKkqWJHWJIkSZI0VewIS5IkSZKmirNGa0nmm5lwyylPW8FKJEmSJGlxvCIsSZIkSZoqdoQlSZIkSVPFjrAkSZIkaap4j7AkaVVzTgNJkjSbV4QlSZIkSVPFjrAkSZIkaao4NFqSJEnSLry1RKuZHeEpNl+4gQEnjUuSLcBtwB3A7VW1Psk+wHuBtcAW4FlVdUuSAG8AjgK+CTy/qi5t2zkWeEXb7Kur6syV/BySNApmpKTl4NBoSeqmn62qQ6tqfXt9PHBRVa0DLmqvAZ4KrGuPDcCpAO2g8CTg8cDjgJOS7L2C9UvSKJmRknbL2K4IezZPkhblaODw9vxM4BPAy1v7WVVVwGeS7JVkv7bsxqq6GSDJRuBI4D0rW7YkrQgzskMcdahJMO4rwp7Nk6RdFfCPSS5JsqG1PbiqdgC0nw9q7fsDW/vW3dbaBrVL0qQzIyXttq7dI+zZPEmCJ1TV9iQPAjYmuWaeZTNHW83TvusGegeSGwAOOuigxdYqSSvNjJS028Z5RdizeZI0h6ra3n7eCHyQ3oiXG9oJQNrPG9vi24AD+1Y/ANg+T/tc+zutqtZX1fo1a9Ys50eRpGVnRkpaDuO8IrxiZ/M8kydpUiS5L3C3qrqtPX8y8ErgXOBY4JT280NtlXOBFyc5m95tIl+rqh1JLgT+rO92kScDJ6zgR5l43uMmdY8ZKWm5jK0j3H82L8ldzua1gBr2bN7hs9o/Mce+TgNOA1i/fv2cw14kqSMeDHywN0cgewLvrqqPJrkYOCfJC4EvAc9sy59PbyLBzfQmE3wBQFXdnORVwMVtuVfO3EYiSRPMjJS0LMbSEfZs3urmH1+Xlq6qrgMePUf7V4AnzdFewHEDtnU6cPpy1yhJ42JGSlou47oi7Nm8ZbTQ8D1JkiRJ0p3G0hH2bJ4kSZIkaVzG/XeEJUmSJElaUV37O8KaYt5bLEmSJGkleEVYkiRJkjRVvCIsSZIkaVGcrFWTzivCkiRJkqSpYkdYkiRJkjRVHBqtgRzyIkmSJGk18oqwJEmSJGmq2BGWJEmSJE0Vh0ZLkrQE/u1zSZIml1eEJUmSJElTxSvCkiRJklaMI2rUBXaEtaotNPO1YStJkiRNHzvCmgieOZQkSZK0XOwIS5Kmln8vXZKk6WRHWJIkSVInOApQK8WOsCRJK8iDPEmSxs8/nyRJkiRJmipeEdaK8n48SVoaryRLkrR87Ahrqi21Y+5BpyRJkjS57AhLktQRjpqRJGll2BHWxPPAUZIkSdJi2BGWJGlKed+xpNXCPNNiTXxHOMmRwBuAPYC3VdUpYy5JU2AUYTtJAT5JtU47M3I8Vnqkyij2tzvbNAc0KczIybLUXPK4RXOZ6I5wkj2ANwFHANuAi5OcW1VXjbcyaXr5P5vuMCMlaTAzUuBxyzSb6I4w8Dhgc1VdB5DkbOBowADT2HQpUBc6c2rAr3pmpNQxXfp/hMxIaZpNekd4f2Br3+ttwONXYsdO0KSlGMWQnt3h7/GqN7aM1HRb6WwZxS0po9yuOmNkGenvwOowqltEVvrPdy71BNxqP3E36R3hzNFWuyyUbAA2tJdfT/KFkVa1dPsCN427iCFNUq1gvaM0dK35i0Vt96FLKUZ3sZwZOSm/k5NQ5yTUCJNR577ATYvMlqEt43aH+i7NyBW3Wo4ju/rf6lTXtYT8WLCuUWTdkNvcpbZR5e4izfedLZiRk94R3gYc2Pf6AGD77IWq6jTgtJUqaqmSbKqq9eOuYxiTVCtY7yhNUq1TaNkyclL+nSehzkmoESajzkmoESanzim0Ko4ju/r7ZV2L09W6oLu17W5dd1vOYsbgYmBdkoOT3AM4Bjh3zDVJUleYkZI0mBkpTbGJviJcVbcneTFwIb1p70+vqivHXJYkdYIZKUmDmZHSdJvojjBAVZ0PnD/uOpZJZ4fdzGGSagXrHaVJqnXqLGNGTsq/8yTUOQk1wmTUOQk1wuTUOXVWyXFkV3+/rGtxuloXdLe23aorVbvMCSBJkiRJ0qo16fcIS5IkSZK0KHaExyDJgUk+nuTqJFcm+Z3Wvk+SjUmubT/3Hnet/ZLskeTfknykvT44yWdbve9tE02MXZK9krw/yTXtO/6JLn+3SX63/R58Psl7ktyrS99tktOT3Jjk831tc36f6Xljks1JLk/y2HHVreWT5MgkX2j/rsePux6YrBydhOyclNzsYl6akVopXc+9rmZdV/OtK3nW1QwbUNf/af+Olyf5YJK9+t47odX1hSRPGWYfdoTH43bgZVX1o8BhwHFJDgGOBy6qqnXARe11l/wOcHXf678AXtfqvQV44Viq2tUbgI9W1Y8Aj6ZXcye/2yT7Ay8B1lfVI+lN1nEM3fpuzwCOnNU26Pt8KrCuPTYAp65QjRqRJHsAb6L3b3sI8OyWV+M2STk6CdnZ+dzscF6egRmpldH13Otq1nUu3zqWZ2fQzQybq66NwCOr6lHAfwAnALT/Do4BHtHWeXM7fplfVfkY8wP4EHAE8AVgv9a2H/CFcdfWV+MB9P5DeCLwEXp/hP4mYM/2/k8AF3agzgcA19Puf+9r7+R3C+wPbAX2oTd53UeAp3TtuwXWAp9f6PsE/hZ49lzL+ZjMx+zfv/Y/nRPGXdccdXYyRychOyclN7ucl2akj3E8upR7Xc26ruZb1/Ksqxk2u65Z7z0DeFd7fpdjE3ozwf/EQtv3ivCYJVkLPAb4LPDgqtoB0H4+aHyV7eL1wB8C32uvHwh8tapub6+30fuPetweBuwE3tGG57wtyX3p6HdbVV9KtCIPAAADAklEQVQG/gr4ErAD+BpwCd38bvsN+j5ngn1GF2vX4nT+37TjOToJ2TkRuTlheWlGaqQ6mHtdzbpO5tsE5NkkZNivARe050uqy47wGCW5H/AB4KVVdeu46xkkyc8DN1bVJf3NcyzahSnI9wQeC5xaVY8BvkE3hkbOqd1zcTRwMPAQ4L70hp3M1oXvdhhd/b3Q0nX637TLOTpB2TkRublK8rKL//6aMF3LvY5nXSfzbYLzrBP/rkn+iN6tAu+aaZpjsQXrsiM8JknuTi/E3lVVf9+ab0iyX3t/P+DGcdU3yxOAX0iyBTib3rCX1wN7JZn5W9QHANvHU95dbAO2VdVn2+v30wvArn63PwdcX1U7q+q7wN8DP0k3v9t+g77PbcCBfct1sXYtTmf/TScgRyclOyclNycpL81IjURHc6/LWdfVfOt6nnU2w5IcC/w88Jxq46CXWpcd4TFIEuDtwNVV9dq+t84Fjm3Pj6V378fYVdUJVXVAVa2ldyP6P1XVc4CPA7/cFutEvVX1X8DWJD/cmp4EXEVHv1t6Q2IOS3Kf9nsxU2/nvttZBn2f5wLPa7MKHgZ8bWZojSbWxcC6NpPlPehlwLljrmkicnRSsnOCcnOS8tKM1LLrau51Oes6nG9dz7NOZliSI4GXA79QVd+cVe8xSe6Z5GB6k3l9bsENjurmZh/z3vj9U/Qu118OXNYeR9G7n+Ii4Nr2c59x1zpH7YcDH2nPH9Z+yTYD7wPuOe76Wl2HApva9/sPwN5d/m6BPwWuAT4PvBO4Z5e+W+A99O5f+S69M24vHPR90hua8ibgi8AV9GZDHPt37GO3fweOojc74xeBPxp3Pa2micrRrmfnpORmF/PSjPSxUo9JyL0uZl1X860redbVDBtQ12Z69wLP/P6/pW/5P2p1fQF46jD7SFtRkiRJkqSp4NBoSZIkSdJUsSMsSZIkSZoqdoQlSZIkSVPFjrAkSZIkaarYEZYkSZIkTRU7wpIkSZKkqWJHWJIkSZI0VewIS5IkSZKmyv8HmemAMvHaGUIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1152x576 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(16, 8))\n",
    "for i, c in enumerate(['product_name_lenght', 'product_description_lenght',\n",
    "                       'product_weight_g', 'product_length_cm',\n",
    "                       'product_height_cm', 'product_width_cm']):\n",
    "    ax = fig.add_subplot(2, 3, i+1)\n",
    "    d[c].plot.hist(bins=30, ax=ax)\n",
    "    ax.set_title(c)\n",
    "fig.subplots_adjust(hspace=0.3, wspace=0.4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Correlations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(9, 6))\n",
    "sns.heatmap(d.corr(), cmap='RdBu', center=0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1a20401080>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(d.product_weight_g[0:200], d.freight_value[0:200])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a204012b0>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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8KfB0VX0e+EFVfWEhBUHzfFX9uKqeA/6nqp4BqKofAD/ptrWhezdwUVVdCVwK/FmS97VpI7n37GGimTurffHWWfT2qI4CVNX/JXm+29aGK8mDJ5oEjPT3r5xuVfUT4CNJ/qXdP8nC/f/qR0le0cLgosliktew8MJg0eShoao6lORS4FNJXothMO+9ht6/AANUkp+tqieSvIoR/Y97Bi0DLgOemlIP8F/Db6d7VTUBXJXkCuCZrvvpyK9PfrCsheSkl9D7FPJC8kSSNVX1AEBVfT/J24EdwK9029pgnjOYoySvAJZV1Te77mVYktwCfLyqvjRg2ieq6nc6aEsaGUlW0Dts9sSAaW+pqv/soK2TMgwkSZ5AliQZBpIkDANJEoaBJAn4f3ebn/B2WkMKAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d.review_score[d['review_comment_message'].notnull()].value_counts().plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "note moyenne :  4.0 \n",
      "note moyenne si commentaire laissé : 3.52\n"
     ]
    }
   ],
   "source": [
    "print('note moyenne : ', round(d.review_score.mean(), 2),\n",
    "      '\\nnote moyenne si commentaire laissé :',\n",
    "      round(d.review_score[d['review_comment_message'].notnull()].mean(), 2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dataset reduction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We saw that 85% of the customers have made only one order on the site, and in 84% of the cases, they have purchased only one product. To simplify the dataset, we will keep 1 order and 1 product per customer, while maintaining the number of products purchased and the total amount of the order."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We keep 1 row per unique customer and the number of purchased products\n",
    "d2 = d.drop_duplicates(subset=['customer_unique_id'], keep='last')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 1.,  3.,  2., nan,  5.,  4.,  6.,  7., 10.,  8., 15., 12.,  9.,\n",
       "       20., 11., 13., 21., 14.])"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d2['order_item_id'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "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>order_id</th>\n",
       "      <th>order_status</th>\n",
       "      <th>order_purchase_timestamp</th>\n",
       "      <th>order_approved_at</th>\n",
       "      <th>order_delivered_carrier_date</th>\n",
       "      <th>order_delivered_customer_date</th>\n",
       "      <th>order_estimated_delivery_date</th>\n",
       "      <th>order_item_id</th>\n",
       "      <th>product_id</th>\n",
       "      <th>seller_id</th>\n",
       "      <th>...</th>\n",
       "      <th>freight_value</th>\n",
       "      <th>product_category_name</th>\n",
       "      <th>product_name_lenght</th>\n",
       "      <th>product_description_lenght</th>\n",
       "      <th>product_photos_qty</th>\n",
       "      <th>product_weight_g</th>\n",
       "      <th>product_length_cm</th>\n",
       "      <th>product_height_cm</th>\n",
       "      <th>product_width_cm</th>\n",
       "      <th>product_category_name_english</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>37650.0</th>\n",
       "      <td>8d6342c5d498f0042ad00193ce3038c8</td>\n",
       "      <td>unavailable</td>\n",
       "      <td>2017-10-02 08:56:39</td>\n",
       "      <td>2017-10-03 04:14:33</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-10-26 00:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78452.0</th>\n",
       "      <td>fb4ea753f638936f56b4df5d03dc07bb</td>\n",
       "      <td>unavailable</td>\n",
       "      <td>2018-01-13 20:11:23</td>\n",
       "      <td>2018-01-16 03:36:36</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-01-30 00:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35587.0</th>\n",
       "      <td>e8e186c0ebe18282aada53c56e7da34f</td>\n",
       "      <td>canceled</td>\n",
       "      <td>2017-05-02 07:34:35</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-05-29 00:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99388.0</th>\n",
       "      <td>75020ffff57f14ba95e2562980ae510f</td>\n",
       "      <td>unavailable</td>\n",
       "      <td>2017-09-19 17:40:29</td>\n",
       "      <td>2017-09-19 17:55:16</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-10-11 00:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28209.0</th>\n",
       "      <td>dadc23575c27fa7a66ce0310807865ba</td>\n",
       "      <td>unavailable</td>\n",
       "      <td>2018-05-08 15:05:15</td>\n",
       "      <td>2018-05-08 15:15:26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-06-04 00:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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",
       "      <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 × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 order_id order_status  \\\n",
       "37650.0  8d6342c5d498f0042ad00193ce3038c8  unavailable   \n",
       "78452.0  fb4ea753f638936f56b4df5d03dc07bb  unavailable   \n",
       "35587.0  e8e186c0ebe18282aada53c56e7da34f     canceled   \n",
       "99388.0  75020ffff57f14ba95e2562980ae510f  unavailable   \n",
       "28209.0  dadc23575c27fa7a66ce0310807865ba  unavailable   \n",
       "\n",
       "        order_purchase_timestamp    order_approved_at  \\\n",
       "37650.0      2017-10-02 08:56:39  2017-10-03 04:14:33   \n",
       "78452.0      2018-01-13 20:11:23  2018-01-16 03:36:36   \n",
       "35587.0      2017-05-02 07:34:35                  NaN   \n",
       "99388.0      2017-09-19 17:40:29  2017-09-19 17:55:16   \n",
       "28209.0      2018-05-08 15:05:15  2018-05-08 15:15:26   \n",
       "\n",
       "        order_delivered_carrier_date order_delivered_customer_date  \\\n",
       "37650.0                          NaN                           NaN   \n",
       "78452.0                          NaN                           NaN   \n",
       "35587.0                          NaN                           NaN   \n",
       "99388.0                          NaN                           NaN   \n",
       "28209.0                          NaN                           NaN   \n",
       "\n",
       "        order_estimated_delivery_date  order_item_id product_id seller_id  \\\n",
       "37650.0           2017-10-26 00:00:00            NaN        NaN       NaN   \n",
       "78452.0           2018-01-30 00:00:00            NaN        NaN       NaN   \n",
       "35587.0           2017-05-29 00:00:00            NaN        NaN       NaN   \n",
       "99388.0           2017-10-11 00:00:00            NaN        NaN       NaN   \n",
       "28209.0           2018-06-04 00:00:00            NaN        NaN       NaN   \n",
       "\n",
       "         ... freight_value  product_category_name  product_name_lenght  \\\n",
       "37650.0  ...           NaN                    NaN                  NaN   \n",
       "78452.0  ...           NaN                    NaN                  NaN   \n",
       "35587.0  ...           NaN                    NaN                  NaN   \n",
       "99388.0  ...           NaN                    NaN                  NaN   \n",
       "28209.0  ...           NaN                    NaN                  NaN   \n",
       "\n",
       "        product_description_lenght  product_photos_qty  product_weight_g  \\\n",
       "37650.0                        NaN                 NaN               NaN   \n",
       "78452.0                        NaN                 NaN               NaN   \n",
       "35587.0                        NaN                 NaN               NaN   \n",
       "99388.0                        NaN                 NaN               NaN   \n",
       "28209.0                        NaN                 NaN               NaN   \n",
       "\n",
       "         product_length_cm  product_height_cm  product_width_cm  \\\n",
       "37650.0                NaN                NaN               NaN   \n",
       "78452.0                NaN                NaN               NaN   \n",
       "35587.0                NaN                NaN               NaN   \n",
       "99388.0                NaN                NaN               NaN   \n",
       "28209.0                NaN                NaN               NaN   \n",
       "\n",
       "         product_category_name_english  \n",
       "37650.0                            NaN  \n",
       "78452.0                            NaN  \n",
       "35587.0                            NaN  \n",
       "99388.0                            NaN  \n",
       "28209.0                            NaN  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d2[d2['order_item_id'].isnull()].sample(5).iloc[:, 5:27]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We also suppress the canceled and unavailable orders"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "d3 = d2.dropna(subset=['order_item_id'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature Selection"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We do not keep data about the sellers, because here we want to study the customers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We select only the relevant indicators\n",
    "d3 = d3.loc[:, ['order_purchase_timestamp', 'customer_state', 'order_item_id',\n",
    "                'product_category_name_english', 'product_weight_g',\n",
    "                'product_length_cm', 'product_height_cm', 'product_width_cm',\n",
    "                'payment_type', 'payment_value', 'payment_installments',\n",
    "                'review_score']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "order_purchase_timestamp         1.000000\n",
       "customer_state                   1.000000\n",
       "order_item_id                    1.000000\n",
       "product_category_name_english    0.985332\n",
       "product_weight_g                 0.999843\n",
       "product_length_cm                0.999843\n",
       "product_height_cm                0.999843\n",
       "product_width_cm                 0.999843\n",
       "payment_type                     0.999990\n",
       "payment_value                    0.999990\n",
       "payment_installments             0.999990\n",
       "review_score                     1.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Column fill rate\n",
    "d3.count() / d3.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a20ce0630>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Number of missing values per row\n",
    "(d3.shape[1] - d3.count(axis=1)).value_counts().sort_index().plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We delete the row with 1 missing value or more\n",
    "d3.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2120"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking how many rows were deleted\n",
    "d2.shape[0]-d3.shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature engineering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Float64Index: 93978 entries, 0.0 to 119150.0\n",
      "Data columns (total 12 columns):\n",
      "order_purchase_timestamp         93978 non-null object\n",
      "customer_state                   93978 non-null object\n",
      "order_item_id                    93978 non-null float64\n",
      "product_category_name_english    93978 non-null object\n",
      "product_weight_g                 93978 non-null float64\n",
      "product_length_cm                93978 non-null float64\n",
      "product_height_cm                93978 non-null float64\n",
      "product_width_cm                 93978 non-null float64\n",
      "payment_type                     93978 non-null object\n",
      "payment_value                    93978 non-null float64\n",
      "payment_installments             93978 non-null float64\n",
      "review_score                     93978 non-null float64\n",
      "dtypes: float64(8), object(4)\n",
      "memory usage: 9.3+ MB\n"
     ]
    }
   ],
   "source": [
    "d3.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### New variable: 'recency'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime as dt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "d3['order_date'] = d3.iloc[:, 0].apply(lambda x:\n",
    "                                       dt.strptime(x, '%Y-%m-%d %H:%M:%S'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Oldest and latest order"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timedelta('728 days 11:51:38')"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d3['order_date'].max() - d3['order_date'].min()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There were 728 days (approximately 2 years) between the oldest and most recent order made on the site (based on the data provided). We will create a new variable 'recency' which is the relative oldness of the order, compared to the latest order."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "def nb_days(date):\n",
    "    duration = d3['order_date'].max() - date\n",
    "    return duration.days"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "d3['recency'] = d3['order_date'].apply(nb_days)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a22800f98>"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d3['recency'].plot.hist(bins=100, figsize=(14, 4))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Customer_state > 6 categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a2a33c390>"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "d3['customer_state'].value_counts()[0:20].plot.pie(figsize=(5, 5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "def state_cat(state):\n",
    "    if state in ['SP', 'RJ', 'MG', 'RS', 'PR']:\n",
    "        return state\n",
    "    else:\n",
    "        return 'other'\n",
    "\n",
    "\n",
    "d3['customer_state_cat'] = d3['customer_state'].apply(state_cat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a20aaaf98>"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "d3['customer_state_cat'].value_counts().plot.pie(figsize=(5, 5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Order_item_id > boolean value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a220faa90>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d3['order_item_id'].value_counts().plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "d3['more_than_one_item'] = d3['order_item_id'] > 1\n",
    "d3['more_than_one_item'].value_counts().plot.pie(startangle=90,\n",
    "                                                 autopct='%1.1f%%',\n",
    "                                                 figsize=(5, 5))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Product_category_name > grouping into broader categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a22c6e940>"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d3['product_category_name_english'].value_counts().plot.bar(figsize=(18, 4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "main_cats = {\n",
    "    'construction_tools_construction': 'construction',\n",
    "    'construction_tools_lights': 'construction',\n",
    "    'construction_tools_safety': 'construction',\n",
    "    'costruction_tools_tools': 'construction',\n",
    "    'costruction_tools_garden': 'construction',\n",
    "    'home_construction': 'construction',\n",
    "\n",
    "    'furniture_bedroom': 'furniture',\n",
    "    'furniture_decor': 'furniture',\n",
    "    'furniture_living_room': 'furniture',\n",
    "    'furniture_mattress_and_upholstery': 'furniture',\n",
    "    'bed_bath_table': 'furniture',\n",
    "    'kitchen_dining_laundry_garden_furniture': 'furniture',\n",
    "    'office_furniture': 'furniture',\n",
    "    'christmas_supplies': 'furniture',\n",
    "    'party_supplies': 'furniture',\n",
    "\n",
    "    'home_appliances': 'home_garden',\n",
    "    'home_appliances_2': 'home_garden',\n",
    "    'home_comfort_2': 'home_garden',\n",
    "    'home_confort': 'home_garden',\n",
    "    'air_conditioning': 'home_garden',\n",
    "    'housewares': 'home_garden',\n",
    "    'stationery': 'home_garden',\n",
    "    'flowers': 'home_garden',\n",
    "    'garden_tools': 'home_garden',\n",
    "    'small_appliances_home_oven_and_coffee': 'home_garden',\n",
    "\n",
    "    'auto': 'auto',\n",
    "\n",
    "    'drinks': 'food_drink',\n",
    "    'food': 'food_drink',\n",
    "    'food_drink': 'food_drink',\n",
    "    'la_cuisine': 'food_drink',\n",
    "\n",
    "    'electronics': 'electronics',\n",
    "    'audio': 'electronics',\n",
    "    'tablets_printing_image': 'electronics',\n",
    "    'telephony': 'electronics',\n",
    "    'fixed_telephony': 'electronics',\n",
    "    'small_appliances': 'electronics',\n",
    "    'computers_accessories': 'electronics',\n",
    "    'computers': 'electronics',\n",
    "    'consoles_games': 'electronics',\n",
    "\n",
    "    'sports_leisure': 'sports',\n",
    "    'fashion_sport': 'sports',\n",
    "\n",
    "    'art': 'art_leisure',\n",
    "    'arts_and_craftmanship': 'art_leisure',\n",
    "    'musical_instruments': 'art_leisure',\n",
    "    'cine_photo': 'art_leisure',\n",
    "    'dvds_blu_ray': 'art_leisure',\n",
    "    'cds_dvds_musicals': 'art_leisure',\n",
    "    'music': 'art_leisure',\n",
    "    'books_general_interest': 'art_leisure',\n",
    "    'books_imported': 'art_leisure',\n",
    "    'books_technical': 'art_leisure',\n",
    "\n",
    "    'health_beauty': 'health_beauty',\n",
    "    'perfumery': 'health_beauty',\n",
    "    'diapers_and_hygiene': 'health_beauty',\n",
    "\n",
    "    'baby': 'kids_babies',\n",
    "    'toys': 'kids_babies',\n",
    "    'fashion_childrens_clothes': 'kids_babies',\n",
    "\n",
    "    'luggage_accessories': 'fashion_accessories',\n",
    "    'fashio_female_clothing': 'fashion_accessories',\n",
    "    'fashion_bags_accessories': 'fashion_accessories',\n",
    "    'fashion_male_clothing': 'fashion_accessories',\n",
    "    'fashion_shoes': 'fashion_accessories',\n",
    "    'fashion_underwear_beach': 'fashion_accessories',\n",
    "    'watches_gifts': 'fashion_accessories',\n",
    "    'cool_stuff': 'fashion_accessories',\n",
    "\n",
    "    'agro_industry_and_commerce': 'diverse',\n",
    "    'industry_commerce_and_business': 'diverse',\n",
    "    'security_and_services': 'diverse',\n",
    "    'signaling_and_security': 'diverse',\n",
    "    'market_place': 'diverse',\n",
    "    'pet_shop': 'diverse'\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "product_cat = d3['product_category_name_english'].unique().tolist()\n",
    "\n",
    "for cat in product_cat:\n",
    "    if cat not in main_cats.keys():\n",
    "        main_cats[cat] = 'diverse'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a23de1748>"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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W+Hd+/XzgkYhYml8vBDbI328A3AeQtz+a93+mvMV7zMysA4acDCTtATwUEfOqxS12jX62Le89zTFnSJorae6iRYsGdb5mZta3dp4MXgu8VdI9wCxS9dC3gbUkjc37jAceyN8vBCYA5O1rAour5S3e00tEnBQRUyJiSk9PTxunbmZmVWP736W1iDgMOAxA0g7ApyPivZJ+BuxFShDTgdn5LXPy66vy9t9HREiaA5wp6VvAi4DJwLVDPS8zW2biob8a0vvuOXb3ms/EVnRDTgbL8TlglqSjgRuAU3L5KcBPJM0nPRHsDRARt0k6B7gdWAocFBFPFzgvMzPrQy3JICIuBS7N3y+gRW+giHgCeGcf7z8GOKaOczEzs8HzCGQzM3MyMDMzJwMzM8PJwMzMcDIwMzOcDMzMDCcDMzPDycDMzHAyMDMznAzMzAwnAzMzw8nAzMxwMjAzM8pMYW1mo5TXTxi+/GRgZmZtrYE8QdIlku6QdJukQ3L5OpIuknRX/rp2LpekEyTNl3SzpK0qx5qe979L0vT2P5aZmQ1GO08GS4FPRcR/ANsCB0naHDgUuDgiJgMX59cAu5GWtJwMzABOhJQ8gMOBbUiL4hzeSCBmZtYZQ04GEfFgRFyfv38cuAPYAJgGnJZ3Ow3YM38/DTg9kquBtSStD+wKXBQRiyNiCXARMHWo52VmZoNXS5uBpInAK4FrgBdExIOQEgawXt5tA+C+ytsW5rK+ys3MrEPaTgaSngucB3w8Ih5b3q4tymI55a1izZA0V9LcRYsWDf5kzcyspbaSgaSVSYngjIj4eS7+a67+IX99KJcvBCZU3j4eeGA55c8SESdFxJSImNLT09POqZuZWcWQxxlIEnAKcEdEfKuyaQ4wHTg2f51dKf+opFmkxuJHI+JBSRcCX6k0Gu8CHDbU8zKz0aPT4xpG8jiKdgadvRZ4H3CLpBtz2edJSeAcSQcAfwbembddALwZmA/8A9gfICIWSzoKuC7vd2RELG7jvMzMbJCGnAwi4gpa1/cD7NRi/wAO6uNYM4GZQz0XMzNrj0cgm5mZk4GZmTkZmJkZTgZmZoaTgZmZ4WRgZmY4GZiZGU4GZmaGl700M1thdXL6Cz8ZmJmZk4GZmTkZmJkZTgZmZoaTgZmZ4WRgZmY4GZiZGStQMpA0VdKdkuZLOrTb52NmNpqsEMlA0hjg+8BuwObAPpI27+5ZmZmNHitEMgBeDcyPiAUR8RQwC5jW5XMyMxs1lJYm7vJJSHsBUyPig/n1+4BtIuKjTfvNAGbkl5sBdw4h3LrAw22c7oocbyR/NsdzPMerJ95GEdHTXLiizE2kFmXPylIRcRJwUluBpLkRMaWdY6yo8UbyZ3M8x3O8svFWlGqihcCEyuvxwANdOhczs1FnRUkG1wGTJU2StAqwNzCny+dkZjZqrBDVRBGxVNJHgQuBMcDMiLitULi2qplW8Hgj+bM5nuM5XsF4K0QDspmZddeKUk1kZmZd5GRgZmZOBmZm5mRQlKSVJI3r9nmUImltSS/rQJwxpWP0Ebcjn28kk7S6pM26fR4jgaR1WpRNquv4oyIZSNpI0pvy96tLel7BWGdKGifpOcDtwJ2SPlMqXo65qaT/lvRbSb9v/CsU69L8+dYBbgJOlfStErEq5kv6eifmq+r055P02vy7gqR9JX1L0kYF460p6XhJc/O/b0pas1CstwA3Ar/Jr18hqWiXcUkbSHqNpO0b/0rGyzE7dX35ZfXmMv89/LK2o0fEiP4HfIg0juF/8+vJwMUF492Yv74X+BawMnBz4c94E3AgaY6nrRv/CsW6IX/9IPDl/H3pz/e8/P94JXA1aUqScSPh8wE3k0bgvzx/fwhwWcF45wFfBjbO/w4Hfl4o1jxgzcbPtAM/y+OAe4ALSBfJXwJzSsXLMTt2fQF2By4Dnpv/xm8DXlHb8Uv+oFaEf6Q7k1WafiFvKRjvtpwAfga8IZfdVPgzzuvgz/MWYH3gt8CrclnRZNAUf3vgfuDvwGnAi4fz5wOuz1+/BBxQLSsU78aBlNUU65r8tVPJ4E5g1VLH7+vn2eHry575pugWYHKdx14hBp0V9mREPCWl6Y8kjaXFvEc1+hHp7uQm4PL8yP9YwXiQHh8/AvwCeLJRGBGLC8Q6kjQ48I8RcZ2kjYG7CsR5Rm4z2B3YH5gIfBM4A3g96S5w0xrDfZn0+a7o0Od7XNJhwPuA1+fPunLBeP+U9LqIuAJSNRXwz0KxbpX0HmCMpMnAwaQLWSkLSD+7J/vbsUbFry+Svtt0zHGkz/oxSUTEwbXEydlmxJL0NeARYD/gY8BHgNsj4gsdii9gTEQsLRjj7hbFEREbl4rZSZIWAJcAp0TElU3bTqjrjyEf77UR8cf+ymqM90LgPcB1EfEHSRsCO0TE6YXivRw4nVR9A7AEmB4RNxeItQbwBWAXUlXYhcBREfFE3bFyvPNI1W0X0/umqLbfjxYxi19fJE1f3vaIOK2WOKMgGawEHEDvX8iTo9AHl/QV4GsR8Uh+vTbwqYj4Yol4nSZpU+BE4AURsWXubfPWiDi6YMxn7mQrZUUu0JKuj4it+iurOeZGpEf+3+UL6JiIeLxQrEkRcXejITIiHmuUlYhXiTsGeE5EFHtK7uuiWdfFso+YHb2+lDSik0H+BTwtIvbtYMwbIuKVTWWlLyZrAJ8ENoyIGfmRfLOIOL9ArMuAzwA/anxOSbdGxJZ1x6rELH6BlrQd8Brg48DxlU3jgLdFxMvritUU90OkBvF1ImKT/H/3w4jYqVC8Vj/LeRGxdYFYZwL/CTzNssbkb0XE1+uOVYm5CsuqDe+MiH8VjNXR60uu0jsC2Ig0r5yosQZgRLcZRMTTknokrRJpBbVOGCNp1Yh4ElJXM2DVwjFPJf2xvSa/XkhqwK49GQBrRMS1jTrSrEgVWOUC3SPpk5VN40gTGtZpFVIvjbGk3ksNjwF71Ryr6iBSL7BrACLiLknr1R1E0kuALYA1Jb29smkcsFrd8bLN85PHe0ltO58j/Z4WSQaSdiB1KriHdKGcIGl6RFxeIl4Xri+nAJ8g/QyfrvvgIzoZZPcAf8z9m//eKIyIUn3HfwpcLOlUUqPPB0i/oCVtEhHvlrQPQET8U01X6xo9LGkTcoOW0ip1DxaK1bELdERcJukK4KUR8eU6j92PTnVw2AzYA1gLeEul/HFS98gSVpa0MqkHzPci4l+SSlZFfBPYJSLuhGeqNM8idcMs5R46d315NCJ+XeC4wOhIBg/kfyvR+4JSRER8TdItwE6ku5OjIuLCwmGfyk8gjQv0JpTrUXEQaercl0i6H7gbKPKYHBGXAZdJ+nFE3FsiRlO8p9VilGdhl0n6PLC6pJ1JDZD1DSTKImI2MFvSdhFxVd3H78MP6WzPupUbiQAgIv5fTkYldfL6comkrwM/p3cD+fV1HHxEtxmMFvki8kVgc1L/+NcC74+ISwvGfA6wUqmGzqZYl9B6GdQdC8T6Jmng0M/ofaf387pj5Xid7uDQeGLtJSI+UHOclYC9IuKcSlnRnnWSZpI+209y0XuBsRGxf4l4nZb/DppFXX8HIz4ZdOpCIumKiHidpMeb4jUaeYrOUSTp+cC2Od7VEVHrwtyS9o2InzbV3T+jYLUbkqqP+asB7wCWRsRnC8Q6tUVx1H2x7BZJ76i8XA14G/BAie6Xki6PiOLTQVTirUp6cn0d6e/gcuAHjfa7QjE7dqNS2mhIBh27kHSapOX2pqnr8THH+nBE/EjS4X3E6mQ9O5Iui4g3dDJmnSSdExHvylWKrS4mHZkgL9/B/67QU9Z/kQa0nU3vp6wSgyG7ohPXl07diI34NoOImNdU9MfcPbKY3OXsBVR+vhHx5wKhvpm/rgZMIdXNCngZqXfK6+oKlBPBGOCxiDi+3zfUqKkefyVSg+ALC8UaD3yXVNUWwBXAIRGxsOZQh+Sve9R83MGaDGxY6NiNp6mDKmVBmhOpNt1MrB26vjwnfy3aJjHik0EnLyQ53sdIk3/9Ffh3Lg7SBbpWEfHGHHMWMCMibsmvtwQ+XSDe05LeSu9++J0wj/QzFKkb692kevYSTgXOBN6ZX++by3auM0hEPJi/3qs0CvnVpM94XUT8pc5YVU3VmEH6PS3ylBwRtU2v3I+uJdZOXF86dSM2GqqJ7ubZF5Ijm0e01hhvPrBNRPytxPH7iHljRLyiv7KaYh1DGjzU/OhfW5VUN3XyZ5mP/UHSJHW/J/2OvoH0+zmzRLwccx3SE0FjfEGU6IvfycGQOd5xEfG5/spqjtmx64ukSxo3gCWMhmSwWjTNhVIdFFYg3iXAzqV6TPQRcxbwf6QxDkG6m31uROxTIFbRHg3LibslqbfUMwOkosD8PZJ+B/yY1D8dYB9g/4Ijgu8EXtO4ecgdAa6MiCILwuTkcwgwnjTj5rbAVYXaDM4mPdXtF2nqktVzrFKJtdXo6ps71f5SWukbsRFfTUSaJbG5ofWqFmV1WQBcKulX9O4LXHIBmPeT1jNoPC5fTpo/qHYl70z6khutdyAlgwuA3Uh1+SUmc/sA8D2WVYX9kWV13yUsJA38angcuK9gvEOAV5F6nL0xj0wu1fjfkcGQkg4kjc/YRFJ1wr3nUXaWVCS9E/hNRDwu6Yuk68rRhZ6UGzMMHFkpC6CWRD5ik0Guh92ANJjnlaTHOEjD79coGPrP+d8q+V9RuS7x5EjzoxSvy1daFetw0roCkBbbODIiHi0Ydi/SbJQ3RMT+kl4AnFwiUG7of2uJY1dVeobcD1wjaTbpD3sacG3B0E9ExBOSGk/If1K5ZSk7NRjyTODXwFeBQyvlj3eg59J/RcTPJL0O2BX4BulGbJu6A5W+ERuxyYD0H/N+0uNw9a78ceDzpYI2ulgqLX0XEfF/pWLleJ2eH2UmcCvwrvz6faQG1rf3+Y72/TMi/i1pqdJsmw9Rc4+UBqX1C75Dqj4J0lPkJyJiQc2hGj1D/jf/a5hdc5xmCyWtBfwPcJGkJaQRtCUcQVrycoKkM8iDIesOkm9EHpX0HWBxYyCkpOdJ2iYirqk7ZkVjjqDdgRMjYrakI+oM0FeX0oa6ah1GQ5vBOyLivA7G25I0ArLRy+BhUp3pbQVj/oj0eFp8fpRON7Dm4/+AlMD3Bj5Fah+5scTIUklXA99nWZvB3sDHIqL2O71uk/QGUh30b0rdSJQeDNkU6wZgq8bo7TyGYm5zO0LNMc8nPd29idST6J/AtVHjLLeVsT2bkar4GutIvwW4PCI+WEuckZoMKgM1PkXrvsdF6vAlXQl8ISIuya93AL4SEa9Z7hvbi9mxgWCSrgI+E71XyvpGRGxXd6w+4k8krX9c+2Is+fjXNF/4JV0dEdsWitdD6tq5Bb0bx4fdCNZmSpO3nUVah/jv/e1fQ7xWNypFG5Bzj6mppKUu75K0Pmmyw98WiPVb4B3VJx/gZxExtY7jj+RqosZAjed2Om4jEQBExKVK8/gU0+HRvwcCp+W2AwGLKfDoX5UbHd8LbBwRR0raUNKrI6JE3folkg4FZpFuIt4N/KrRn7xAHfQZpN4he5Dm/p8OLKo5Rrd8k/TzO1bStaTPeX5z774aLZB0MMs6T3yE1KGjdpLGRVqoZzXg0ly2DqlNZG6JmKTBgdUnuKdIy8DWYsQ+GXSLpF8A17Nssqx9gSkRsWfBmB2/u1RlpaxSMSqxTiQN4NsxIv5DafW430bEqwrEqq741fjjaHQ+iKh5KVHlhWWqd7Aa5lNtNMudHHYkTZU9NQrN06W0DsQJOVaQlr/8eEQ8VCDW+RGxR9M4g4baf09yzC+Q2up+kWO+DTg7Ir5ax/FH8pMB8MyF8kOkDFqdHqJUd8EPkLrqNWa5vJy0kHtJHbu7lHQIqcH4ceC/leZHOrTEY3HFNhGxVa4TJiKWKK1oVcLnSHXojynNrbMVaRryUoPqGitxPShpd1Jj7vhCsTou9yZ6C+kJYSsKru2RL/p7lzp+U6w98tdOjbImIo6R9Gvg9blo/4i4obFd0toRsWSoxx/xyYDUO+MPwO8osDpQVb4D+nwUXIC7D8+PiFMkHRLL1gAoNf/SByLiO5J2BdYjJbpTSVNnl/Kv/LNtNAz2sGyqj7p9MSLOyRmFc4wAAA/3SURBVF0FdyZVdRTpKpgdnavcPkWaE2kcaTWrYS8POtuG1KPo+8ClEVHq/61j03M3xWxUYU6KiKMkbQi8sFAVZmOAWV83JhfTxvip0ZAM1oiCw9GrcjfPkqsq9aWTd5eNx+E3A6dGxE0lBhI1OYH0aPyCPApzL9L6DSVUuwr+sERXwapYNjXDo0DHB/QVdirwnogoehNWUZ3m4pnpuQvH/AG5ChM4ivTEfB6p10+ntfV3OBqSwfmS3hwRF3Qo3g25F0VHFkfJOnl3OS/3apgEHJZ7NBS72wOIiDMkzSOtHgewZ0TcUSjc/bmr7puA45TmyF+pUKzquIbtSD/HUuMaOkbSjhHxe9LgzmnN9wql/haau5BLOotUI1BSJ6sw+9NWA/BoSAaHAJ+X9CTpDrr0YjPrAH+j9xDxYFkbQu06fHd5APAKYEFE/CP3oOjESlJrAI2qotULxnkXqavgNyLikdxV8DMF451JqkJ5W369N6k75nAe17A9aeK9t7CscbX6teSNUVXJ6bkbOlmFWdSITga5+mKLKLOWQF9Ojog/Np3Ha0sGlHRCi+JHSQNu6h7Ruh1pwNffJe1LqqP8Ts0xepH0JdKU0ueRLiinSvpZRBxdd6yI+AeVi1WkqaYfrDtOhSLiJ5XXP5X00YLxOuHxPGr2Vnr3tCnadVHPXmXwL6QOASU1qjDX60AVZn/aqiYa8V1LG133Ohiv1cyJzyqrOeZJwEtIVVOQVlu6DZhAuoP/eI2xbibNE/QyUvfZU4C3l+wKKekO4JWN/um5h8r1EfEfpWKWpmXz4H8WeITe4xpWjYijunVu7WoxYnY26UJV64jZppgCJnT4xq8R+yWkKkwBF9ddhaneayY8S2Psi6R12hkHM6KfDLKrJb0qIq4rGUTSdqRZBXvUey6RcaTqjZJeTOqDvzSfy4mk3j07A7fUHGtpRISkacB3ci+m6TXHaHYPqUGwMVhpVXrP5zMcVRfsAfhwZVuQGiOHpVg2P9dvSdNDNEbMHsGyG5a6Y0Ye49ORG7+mC/RDLJu+pO2LcgvV35UNgSX5+7VIk2JOgvYHRI6GZPBG4MOS7iU16DbaDOoeor4KabTzWHovT/cY6dGxpA1II64bM4c+B3hR7t1U9yyRj0s6jDRB3etzfenKNccAQNJ3SX8ETwK3Sboov96ZNIX1sDXQ/umSdo6Ii0qfTyFFR8y20JEbv6w5mVcHKNa6tGfjd0XSD0lTe1yQX+9G6uhQi9FQTbRRq/KIuLdUvFLHXk7MA0j1lJeSfhm3B75Culs5IiJqawBVmhr8PaTlGf+Q+1XvEGUWmlnuE0dEFBvAtKIoXcVYUukRsy3i3Q5sCpS+8RvMOW0RNU1S2arKW9LciJhSy/FHQTJo2ZugVN1ivnt9Z0Q8kl+vDcyKiF1LxKvEXZ+0jq5IsyY+UNlW2y9kPt5GwOSI+J3SRF1jGlUB3SDpvIh4R7filyTphoh4ZbfPY6jyCPXGiNnLqyNmC8Tq6I3fQNSZzCVdSBpAW13RcPu6ri2joZroVyx7nFuNVL92J2kenxLWbSQCeKbf8XqFYj0j93rpq+fQT6hpZTdJHwJmkLrQbkKqovohy8YAdEORtQ1WEMP6bq2fEbN1Ozoi3lctkPQTUpVmt9Q5IHMf0sJSv8ivL89ltRjxySAiXlp9ne9UPtzH7nX4t6QNG08e+W6l23/Qdf5CHkR6ArkGINK0vcWTXT+6/fO1FUOvG7zcntWNGQGqavvdzA3EhyhNEvnvqHnhrBGfDJpFxPWSSg4V/wJwRWVuoO1Jd9LdVOfF8smIeKoxqlTS2JqPb73d0+0TWNHlDg2fJy1x25hFV6QG65O6dmI1k/RS0rrf6+TXDwPTI+LWOo4/4pNBUzfPlUh3CsXmi4+I3+Snj8bqTp+Igqs7dcFlkhp/eDuT5oz/ZZfPqfTcSMWonwXVI6LkcqIjQm6Q/qqkr0bEYd0+nyZ1riD3I+CT0XvhrJNIXdrbVmzOlW7LdYUAXyJ19XweqX/6+aRFx0vFFWk6g60i4pfAGpJeXSreANX5C3koKZneQqpuu4Dujbhs6MhEhIX8V04EjQXVT2PZ4iw2OOcrLyQlaV9J3+qrUbkuki5eXlnUu0LesxbOYtkiXm0bsb2Jcjez3Uh3rTs0b695UEg1bscWYqnEfNZKYBSaRjf/sT3RmIky18uumqdxKCJP53EEsBHpabbRZXDYNxw3egtJ+ipp6cQzh3sPom7p5Oh4SauR5su6hHR9aTydjgN+XWJ0vAovnDWSq4l+SJpHfRK9l6GrfVBIk27MYlidRvdIyk6jezFpoEuj8Wp10mjnYms8k/6oP0Ea6NOp6ZA7paOzpI5wnRwd/2Hg48CLSL+XjWTwGGniwRKqC2eJmhfOGrHJICJOAE6QdGJEHNjB0N2YxbCTCWi1ai+GiPi/PNagpEcj4teFY3RLp2dJHckao+P3BbYvOTo+0gJP3yMtZtWRqUMirWJ2cKneRCP+DqTDiQCePYvhFaTRwCV1MgH9PTeQk2NtDfyzRCBJW+VYl0j6uqTtGmXVcxiOJK2T57dpLKj+N5VfUH2kezfp53dARPyFNAbm66WC5arSN5c6fjNJL803fLeQpmeZJ2nL2o4/UtsMukmFZzFsEe+99F5jdi/S8o21TwqWu+XOYtkKUusD746IeQViXbKczREROy5n+wpNvRdSf9bkYwOdu8i6S9KXgZuBn0fhi6mkK4EvNPUm+kpE1FJF62RQEw1wmtmC8TuWgCStTJqeWMCfIuJf/byl3XgbR9PKX63KhqO+Jh+LiE9198yGH0lvB44jrc0tlnU0KLWQVWMNhecAS0mz6haLKemmiHh5f2VDPr6TQT2a7vSqP9SO9HzJvZYmUGkHavRVrznOQcAZTXMv7RMRP6g7ViVmqzUiOrpORSmlJx8bTSTNB95S+km8Rdx1SKuqrdYoi4jL+n7HkOO4N9FwEMummV2J1M1zUqWb5/olY0s6Cng/aY7/RiIKei+9WZcPRcQzvSVyY/WHSD2aapWfdrYA1sx3fQ3jqPzhDXMP58Fm1cnH/tbdUxq2/tqFRPBB0tK644EbSYNNr6TGubok/STPufQH0hTgjd5El+HeRCu079O5bp4N7wI2iYg6B5f1ZSVJatSP5obrUj2XNgP2INWjv6VS/jjwoUIxO63o5GOjzFxJZwP/Q2pIBiAiSq65fAjpb/vqiHhjvoH5cs0xts6D56aT1mep1j7UNvreyaB+3RhncCvpgvlQ4TgAFwLn5LruAP6TNJ6jdpHWb54tabuIuKpEjG5rTD7W7fMYIcYB/wB2qZQFlTWtC3giIp6QhKRVI+JPkjarOUZjzNTGFBwz5TaDmkm6hjQA67qcFHpII5CLjSiVNIU0ffWt9L4jemuBWCuRBtw0Gqt/C5zcGJFcc6zGSmctRcTBdcfsFEnfjoiPS/olLT5jif87q1+ux9+fNABtR1KvsJUjovYup6XHTDkZ1KyT3TwrMW8jTWJ1C5XxBSUasTqpv9GjMYxXOpO0dUTMk/RpoHmZxnF5XisbBEnjge8CryUl2CuAQyJiYYfivwFYkzTxYCeqbGvlZFBAF8YZXFZi/pU+Yk0GvgpsTu/eE8N+nqBukHQ9aRriW/LrfYCPR8Q23T2z4UdplcEz6d3b5r0RsXP3zmr4cDIYASR9i1Q9NIfe1UQlupZeQWrwPJ7UqLs/6ffo8LpjVWL2kGYmbU5Aw3bQWYOkjYFzST3QXgfsB+wREY929cSGIUk3RsQr+iuz1tyAPDI02iOq0+WW6lq6ekRcnHsU3QscIekPpARRyhnA2cDupAbr6RRck6KTImKBpL1JPWDuA3aJiCLTe4wCD0vaFzgrv94Hd9MdMD8Z2KBI+iNpgfNzgd8D9wPHRkTdPSiqMedFxNaSbo6Il+WyjlWNlSDpFno3HK8HPEp+smt8Thu4PKbne8B2pJ/tlcDBkZegteXzk8EIIGlN0p359rnoMuDIQlUNHyfN434wcBSp33OpaYIbGtNdPChpd9K8SOMLxyxtj26fwAh0FKn9ZQk8MzL4G6Spn60ffjIYASSdR+pW2uhd8z7g5dGFJRMlfTciPlbzMfcgjb6cQOotMg74ckTMqTOODW9qsShQqzJrzclgBFiRGs5azSNk1gmSbgJ2aHoyuCwiXtrdMxseRvx6BqPEP5XW0AWeWSZyxDRCStpU0sWSbs2vX5bn8zGr+iZwpaSjJB1JajP4WpfPadjwk8EIIOkVpCqiNXPRElLd6c1dOJfanwwkXUZa/etHjUd+SbdGRG0Le9jIIGlzUi+6xhif27t8SsOGG5BHhjtId0CbkOYoehTYk7ToRqfVNnFWxRoRca3U69BLC8SxYS5f/J0AhsDJYGSYDTxCmuv8/i6fy3cKHPNhSZuwbFnPvYAHC8QxG7VcTTQCdLLKRNKmpCqbjei9kE6x0cB5lO5JpAkAlwB3k6YZuLdUTLPRxslgBJB0EvDdxvw2hWPdRJpSdx7wzEylJdZArsRclTTh30RgHeCxFDKOLBXTbLRxNdEwVhnFOhbYX9IC0gjWxlKbJUaxLo2IEwscd3mq1WAPdDi22ajgJ4NhLK9+1KcS1SiSjiAtovMLek+Kt7juWJWY7jlkVpiTgQ2KpLtbFEfJKaw7WQ1mNlo5GdgKq6kabDLQiWows1HJycAGRdLKwIEsmxTvUtJgsH/1+aahx+p4NZjZaOVkYIMi6WRgZXpPivd0RHywe2dlZu1yMrBBkXRTRLy8vzIzG148UZ0N1tN5NDDwzICwp5ezv5kNAx5nYIP1GeCSPKZBpJHI+3f3lMysXa4mskHLI4I3IyWDP0XEk/28xcxWcE4GNiCSdoyI30tquXpaRPy80+dkZvVxNZEN1BuA3wNvabEtACcDs2HMTwZmZuYnAxuc3F7wDtIMotUprD2DqNkw5mRggzWbtJLaPCoT1ZnZ8OZqIhsUzyBqNjJ50JkN1pWSXtrtkzCzevnJwAbEM4iajWxOBjYgnkHUbGRzNZENSETcmy/4Y4G/5O8nAdNIDcpmNow5GdhgnUearO7FwCmkhHBmd0/JzNrlZGCD9e+IWAq8Hfh2RHwCWL/L52RmbXIysMH6l6R9gP2A83PZyl08HzOrgZOBDdb+wHbAMRFxt6RJwE+7fE5m1ib3JjIzM09HYYMjaTLwVWBzYLVGeURs3LWTMrO2uZrIButU4ERgKfBG4HTgJ109IzNrm5OBDdbqEXExqYrx3og4Atixy+dkZm1yNZEN1hOSVgLukvRR4H5gvS6fk5m1yU8GNiCSGlVBs4E1gIOBrYH3AdO7dV5mVg/3JrIBkXQ7sBswB9iBNEHdMyJicRdOy8xq4moiG6gfAr8BNiYtbCPSLKaNr+5NZDaM+cnABkXSiRFxYLfPw8zq5WRgZmZuQDYzMycDMzPDycDMzHAyMDMznAzMzAz4/2QVKCH2dp5cAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d3['product_main_category'] = \\\n",
    "    d3['product_category_name_english'].apply(lambda x: main_cats[x])\n",
    "\n",
    "d3['product_main_category'].value_counts().plot.bar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### New variable: \"volume\" + switch to log"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "d3['volume'] = d3['product_length_cm'] * d3['product_height_cm'] \\\n",
    "    * d3['product_width_cm']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 150000)"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d3['volume'].plot.hist(bins=100)\n",
    "plt.xlim(0, 150000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a245e3198>"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d3['volume_log'] = np.log(d3['volume'] + 1)\n",
    "d3['volume_log'].plot.hist(bins=50)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Product_weight > switch to log"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a24a76438>"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d3['product_weight_log'] = np.log(d3['product_weight_g'] + 1)\n",
    "d3['product_weight_log'].plot.hist(bins=50)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Payment_type > boolean value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a24ec9f28>"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "d3['payment_type'].value_counts().plot.pie()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "d3['payment_credit_card'] = d3['payment_type'] == 'credit_card'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Payment_value > deleting the extreme values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d3['payment_value'].plot.hist(bins=300, figsize=(10, 4))\n",
    "plt.axvline(1000, c='red')\n",
    "plt.xlim(-100, 3000)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "d3 = d3[d3['payment_value'] < 1000]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Payment_installements > deleting the extreme values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "d3 = d3[d3['payment_installments'] < 11]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a266e34e0>"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 648x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d3['payment_installments'].value_counts().sort_index().plot.bar(figsize=(9, 4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "d4 = d3.loc[:, ['recency', 'more_than_one_item', 'product_main_category',\n",
    "                'volume_log', 'product_weight_log', 'payment_credit_card',\n",
    "                'payment_value', 'payment_installments', 'review_score']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(6, 4))\n",
    "sns.heatmap(d4.corr(), cmap='RdBu', center=0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "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>recency</th>\n",
       "      <th>volume_log</th>\n",
       "      <th>product_weight_log</th>\n",
       "      <th>payment_value</th>\n",
       "      <th>payment_installments</th>\n",
       "      <th>review_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>92621.000000</td>\n",
       "      <td>92621.000000</td>\n",
       "      <td>92621.000000</td>\n",
       "      <td>92621.000000</td>\n",
       "      <td>92621.000000</td>\n",
       "      <td>92621.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>243.155731</td>\n",
       "      <td>8.832495</td>\n",
       "      <td>6.676575</td>\n",
       "      <td>141.781974</td>\n",
       "      <td>2.831064</td>\n",
       "      <td>4.093499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>153.349285</td>\n",
       "      <td>1.271829</td>\n",
       "      <td>1.319859</td>\n",
       "      <td>133.634460</td>\n",
       "      <td>2.572641</td>\n",
       "      <td>1.338677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.129899</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>119.000000</td>\n",
       "      <td>7.943428</td>\n",
       "      <td>5.707110</td>\n",
       "      <td>59.680000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>224.000000</td>\n",
       "      <td>8.754161</td>\n",
       "      <td>6.516193</td>\n",
       "      <td>102.030000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>353.000000</td>\n",
       "      <td>9.798183</td>\n",
       "      <td>7.496097</td>\n",
       "      <td>171.830000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>728.000000</td>\n",
       "      <td>12.591338</td>\n",
       "      <td>10.607228</td>\n",
       "      <td>999.680000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            recency    volume_log  product_weight_log  payment_value  \\\n",
       "count  92621.000000  92621.000000        92621.000000   92621.000000   \n",
       "mean     243.155731      8.832495            6.676575     141.781974   \n",
       "std      153.349285      1.271829            1.319859     133.634460   \n",
       "min        0.000000      5.129899            0.000000       0.000000   \n",
       "25%      119.000000      7.943428            5.707110      59.680000   \n",
       "50%      224.000000      8.754161            6.516193     102.030000   \n",
       "75%      353.000000      9.798183            7.496097     171.830000   \n",
       "max      728.000000     12.591338           10.607228     999.680000   \n",
       "\n",
       "       payment_installments  review_score  \n",
       "count          92621.000000  92621.000000  \n",
       "mean               2.831064      4.093499  \n",
       "std                2.572641      1.338677  \n",
       "min                0.000000      1.000000  \n",
       "25%                1.000000      4.000000  \n",
       "50%                2.000000      5.000000  \n",
       "75%                4.000000      5.000000  \n",
       "max               10.000000      5.000000  "
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d4.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The variables 'volume_log' and 'weight_log' being highly correlated, we keep only one out of the two."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "d4.drop('product_weight_log', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>recency</th>\n",
       "      <th>more_than_one_item</th>\n",
       "      <th>product_main_category</th>\n",
       "      <th>volume_log</th>\n",
       "      <th>payment_credit_card</th>\n",
       "      <th>payment_value</th>\n",
       "      <th>payment_installments</th>\n",
       "      <th>review_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.0</th>\n",
       "      <td>474</td>\n",
       "      <td>False</td>\n",
       "      <td>furniture</td>\n",
       "      <td>11.581864</td>\n",
       "      <td>True</td>\n",
       "      <td>146.87</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>233</td>\n",
       "      <td>False</td>\n",
       "      <td>home_garden</td>\n",
       "      <td>10.885585</td>\n",
       "      <td>True</td>\n",
       "      <td>335.48</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.0</th>\n",
       "      <td>106</td>\n",
       "      <td>False</td>\n",
       "      <td>furniture</td>\n",
       "      <td>10.735723</td>\n",
       "      <td>True</td>\n",
       "      <td>157.73</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.0</th>\n",
       "      <td>173</td>\n",
       "      <td>False</td>\n",
       "      <td>furniture</td>\n",
       "      <td>11.289394</td>\n",
       "      <td>True</td>\n",
       "      <td>173.30</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.0</th>\n",
       "      <td>35</td>\n",
       "      <td>False</td>\n",
       "      <td>home_garden</td>\n",
       "      <td>10.070103</td>\n",
       "      <td>True</td>\n",
       "      <td>252.25</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     recency  more_than_one_item product_main_category  volume_log  \\\n",
       "0.0      474               False             furniture   11.581864   \n",
       "1.0      233               False           home_garden   10.885585   \n",
       "2.0      106               False             furniture   10.735723   \n",
       "3.0      173               False             furniture   11.289394   \n",
       "4.0       35               False           home_garden   10.070103   \n",
       "\n",
       "     payment_credit_card  payment_value  payment_installments  review_score  \n",
       "0.0                 True         146.87                   2.0           4.0  \n",
       "1.0                 True         335.48                   8.0           5.0  \n",
       "2.0                 True         157.73                   7.0           5.0  \n",
       "3.0                 True         173.30                   1.0           5.0  \n",
       "4.0                 True         252.25                   8.0           5.0  "
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d4.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "d4.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Encoding the boolean and categorical values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>recency</th>\n",
       "      <th>more_than_one_item</th>\n",
       "      <th>volume_log</th>\n",
       "      <th>payment_credit_card</th>\n",
       "      <th>payment_value</th>\n",
       "      <th>payment_installments</th>\n",
       "      <th>review_score</th>\n",
       "      <th>product_main_category_art_leisure</th>\n",
       "      <th>product_main_category_auto</th>\n",
       "      <th>product_main_category_construction</th>\n",
       "      <th>product_main_category_diverse</th>\n",
       "      <th>product_main_category_electronics</th>\n",
       "      <th>product_main_category_fashion_accessories</th>\n",
       "      <th>product_main_category_food_drink</th>\n",
       "      <th>product_main_category_furniture</th>\n",
       "      <th>product_main_category_health_beauty</th>\n",
       "      <th>product_main_category_home_garden</th>\n",
       "      <th>product_main_category_kids_babies</th>\n",
       "      <th>product_main_category_sports</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>28714.0</th>\n",
       "      <td>160</td>\n",
       "      <td>0</td>\n",
       "      <td>8.171034</td>\n",
       "      <td>0</td>\n",
       "      <td>86.96</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53149.0</th>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>11.271936</td>\n",
       "      <td>1</td>\n",
       "      <td>461.65</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23788.0</th>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>8.389587</td>\n",
       "      <td>1</td>\n",
       "      <td>78.52</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         recency  more_than_one_item  volume_log  payment_credit_card  \\\n",
       "28714.0      160                   0    8.171034                    0   \n",
       "53149.0      110                   0   11.271936                    1   \n",
       "23788.0       62                   0    8.389587                    1   \n",
       "\n",
       "         payment_value  payment_installments  review_score  \\\n",
       "28714.0          86.96                   1.0           3.0   \n",
       "53149.0         461.65                   5.0           4.0   \n",
       "23788.0          78.52                   4.0           5.0   \n",
       "\n",
       "         product_main_category_art_leisure  product_main_category_auto  \\\n",
       "28714.0                                  0                           0   \n",
       "53149.0                                  0                           0   \n",
       "23788.0                                  0                           0   \n",
       "\n",
       "         product_main_category_construction  product_main_category_diverse  \\\n",
       "28714.0                                   0                              0   \n",
       "53149.0                                   0                              0   \n",
       "23788.0                                   0                              0   \n",
       "\n",
       "         product_main_category_electronics  \\\n",
       "28714.0                                  1   \n",
       "53149.0                                  0   \n",
       "23788.0                                  0   \n",
       "\n",
       "         product_main_category_fashion_accessories  \\\n",
       "28714.0                                          0   \n",
       "53149.0                                          0   \n",
       "23788.0                                          0   \n",
       "\n",
       "         product_main_category_food_drink  product_main_category_furniture  \\\n",
       "28714.0                                 0                                0   \n",
       "53149.0                                 0                                0   \n",
       "23788.0                                 0                                0   \n",
       "\n",
       "         product_main_category_health_beauty  \\\n",
       "28714.0                                    0   \n",
       "53149.0                                    0   \n",
       "23788.0                                    0   \n",
       "\n",
       "         product_main_category_home_garden  product_main_category_kids_babies  \\\n",
       "28714.0                                  0                                  0   \n",
       "53149.0                                  0                                  1   \n",
       "23788.0                                  0                                  1   \n",
       "\n",
       "         product_main_category_sports  \n",
       "28714.0                             0  \n",
       "53149.0                             0  \n",
       "23788.0                             0  "
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d4_dummies = pd.get_dummies(d4) * 1\n",
    "d4_dummies.sample(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Correlations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 8))\n",
    "sns.heatmap(d4_dummies.corr(), cmap='RdBu', center=0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The dataset is now ready for futher processing (clustering, etc.) Let's save it!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(92621, 19)"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d4_dummies.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "d4_dummies.to_csv('p5_clean_V3.csv', index=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}