Instacart data visualisation.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",
    "import seaborn as sns\n",
    "color = sns.color_palette()\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order_id</th>\n",
       "      <th>product_id</th>\n",
       "      <th>add_to_cart_order</th>\n",
       "      <th>reordered</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>49302</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>11109</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>10246</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>49683</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>43633</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>13176</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>47209</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>22035</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>36</td>\n",
       "      <td>39612</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>36</td>\n",
       "      <td>19660</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>36</td>\n",
       "      <td>49235</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>36</td>\n",
       "      <td>43086</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>36</td>\n",
       "      <td>46620</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>36</td>\n",
       "      <td>34497</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>36</td>\n",
       "      <td>48679</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>36</td>\n",
       "      <td>46979</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>38</td>\n",
       "      <td>11913</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>38</td>\n",
       "      <td>18159</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>38</td>\n",
       "      <td>4461</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>38</td>\n",
       "      <td>21616</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    order_id  product_id  add_to_cart_order  reordered\n",
       "0          1       49302                  1          1\n",
       "1          1       11109                  2          1\n",
       "2          1       10246                  3          0\n",
       "3          1       49683                  4          0\n",
       "4          1       43633                  5          1\n",
       "5          1       13176                  6          0\n",
       "6          1       47209                  7          0\n",
       "7          1       22035                  8          1\n",
       "8         36       39612                  1          0\n",
       "9         36       19660                  2          1\n",
       "10        36       49235                  3          0\n",
       "11        36       43086                  4          1\n",
       "12        36       46620                  5          1\n",
       "13        36       34497                  6          1\n",
       "14        36       48679                  7          1\n",
       "15        36       46979                  8          1\n",
       "16        38       11913                  1          0\n",
       "17        38       18159                  2          0\n",
       "18        38        4461                  3          0\n",
       "19        38       21616                  4          1"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "order_products_train_df = pd.read_csv(\"order_products__train.csv\")\n",
    "order_products_train_df.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order_id</th>\n",
       "      <th>product_id</th>\n",
       "      <th>add_to_cart_order</th>\n",
       "      <th>reordered</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>33120</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>28985</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>9327</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>45918</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>30035</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2</td>\n",
       "      <td>17794</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2</td>\n",
       "      <td>40141</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2</td>\n",
       "      <td>1819</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2</td>\n",
       "      <td>43668</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3</td>\n",
       "      <td>33754</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>3</td>\n",
       "      <td>24838</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>3</td>\n",
       "      <td>17704</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>3</td>\n",
       "      <td>21903</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>3</td>\n",
       "      <td>17668</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>3</td>\n",
       "      <td>46667</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>3</td>\n",
       "      <td>17461</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>3</td>\n",
       "      <td>32665</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>4</td>\n",
       "      <td>46842</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>4</td>\n",
       "      <td>26434</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>4</td>\n",
       "      <td>39758</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "    order_id  product_id  add_to_cart_order  reordered\n",
       "0          2       33120                  1          1\n",
       "1          2       28985                  2          1\n",
       "2          2        9327                  3          0\n",
       "3          2       45918                  4          1\n",
       "4          2       30035                  5          0\n",
       "5          2       17794                  6          1\n",
       "6          2       40141                  7          1\n",
       "7          2        1819                  8          1\n",
       "8          2       43668                  9          0\n",
       "9          3       33754                  1          1\n",
       "10         3       24838                  2          1\n",
       "11         3       17704                  3          1\n",
       "12         3       21903                  4          1\n",
       "13         3       17668                  5          1\n",
       "14         3       46667                  6          1\n",
       "15         3       17461                  7          1\n",
       "16         3       32665                  8          1\n",
       "17         4       46842                  1          0\n",
       "18         4       26434                  2          1\n",
       "19         4       39758                  3          1"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "order_products_prior_df = pd.read_csv(\"order_products__prior.csv\")\n",
    "order_products_prior_df.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order_id</th>\n",
       "      <th>user_id</th>\n",
       "      <th>eval_set</th>\n",
       "      <th>order_number</th>\n",
       "      <th>order_dow</th>\n",
       "      <th>order_hour_of_day</th>\n",
       "      <th>days_since_prior_order</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2539329</td>\n",
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       "      <td>prior</td>\n",
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       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2398795</td>\n",
       "      <td>1</td>\n",
       "      <td>prior</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>473747</td>\n",
       "      <td>1</td>\n",
       "      <td>prior</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2254736</td>\n",
       "      <td>1</td>\n",
       "      <td>prior</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>431534</td>\n",
       "      <td>1</td>\n",
       "      <td>prior</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>28.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3367565</td>\n",
       "      <td>1</td>\n",
       "      <td>prior</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>550135</td>\n",
       "      <td>1</td>\n",
       "      <td>prior</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3108588</td>\n",
       "      <td>1</td>\n",
       "      <td>prior</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2295261</td>\n",
       "      <td>1</td>\n",
       "      <td>prior</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2550362</td>\n",
       "      <td>1</td>\n",
       "      <td>prior</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1187899</td>\n",
       "      <td>1</td>\n",
       "      <td>train</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2168274</td>\n",
       "      <td>2</td>\n",
       "      <td>prior</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1501582</td>\n",
       "      <td>2</td>\n",
       "      <td>prior</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1901567</td>\n",
       "      <td>2</td>\n",
       "      <td>prior</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>738281</td>\n",
       "      <td>2</td>\n",
       "      <td>prior</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1673511</td>\n",
       "      <td>2</td>\n",
       "      <td>prior</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1199898</td>\n",
       "      <td>2</td>\n",
       "      <td>prior</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>3194192</td>\n",
       "      <td>2</td>\n",
       "      <td>prior</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>12</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>788338</td>\n",
       "      <td>2</td>\n",
       "      <td>prior</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>27.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1718559</td>\n",
       "      <td>2</td>\n",
       "      <td>prior</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1447487</td>\n",
       "      <td>2</td>\n",
       "      <td>prior</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1402090</td>\n",
       "      <td>2</td>\n",
       "      <td>prior</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>3186735</td>\n",
       "      <td>2</td>\n",
       "      <td>prior</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>28.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>3268552</td>\n",
       "      <td>2</td>\n",
       "      <td>prior</td>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>839880</td>\n",
       "      <td>2</td>\n",
       "      <td>prior</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1492625</td>\n",
       "      <td>2</td>\n",
       "      <td>train</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1374495</td>\n",
       "      <td>3</td>\n",
       "      <td>prior</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>444309</td>\n",
       "      <td>3</td>\n",
       "      <td>prior</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>19</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>3002854</td>\n",
       "      <td>3</td>\n",
       "      <td>prior</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>16</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2037211</td>\n",
       "      <td>3</td>\n",
       "      <td>prior</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2710558</td>\n",
       "      <td>3</td>\n",
       "      <td>prior</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>1972919</td>\n",
       "      <td>3</td>\n",
       "      <td>prior</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>1839752</td>\n",
       "      <td>3</td>\n",
       "      <td>prior</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>3225766</td>\n",
       "      <td>3</td>\n",
       "      <td>prior</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>3160850</td>\n",
       "      <td>3</td>\n",
       "      <td>prior</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>676467</td>\n",
       "      <td>3</td>\n",
       "      <td>prior</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>16</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>521107</td>\n",
       "      <td>3</td>\n",
       "      <td>prior</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>1402502</td>\n",
       "      <td>3</td>\n",
       "      <td>prior</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2774568</td>\n",
       "      <td>3</td>\n",
       "      <td>test</td>\n",
       "      <td>13</td>\n",
       "      <td>5</td>\n",
       "      <td>15</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>3343014</td>\n",
       "      <td>4</td>\n",
       "      <td>prior</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2030307</td>\n",
       "      <td>4</td>\n",
       "      <td>prior</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>691089</td>\n",
       "      <td>4</td>\n",
       "      <td>prior</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>94891</td>\n",
       "      <td>4</td>\n",
       "      <td>prior</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2557754</td>\n",
       "      <td>4</td>\n",
       "      <td>prior</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>329954</td>\n",
       "      <td>4</td>\n",
       "      <td>test</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2717275</td>\n",
       "      <td>5</td>\n",
       "      <td>prior</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>1909121</td>\n",
       "      <td>5</td>\n",
       "      <td>prior</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2267326</td>\n",
       "      <td>5</td>\n",
       "      <td>prior</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>18</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>157374</td>\n",
       "      <td>5</td>\n",
       "      <td>prior</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2196797</td>\n",
       "      <td>5</td>\n",
       "      <td>train</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    order_id  user_id eval_set  order_number  order_dow  order_hour_of_day  \\\n",
       "0    2539329        1    prior             1          2                  8   \n",
       "1    2398795        1    prior             2          3                  7   \n",
       "2     473747        1    prior             3          3                 12   \n",
       "3    2254736        1    prior             4          4                  7   \n",
       "4     431534        1    prior             5          4                 15   \n",
       "5    3367565        1    prior             6          2                  7   \n",
       "6     550135        1    prior             7          1                  9   \n",
       "7    3108588        1    prior             8          1                 14   \n",
       "8    2295261        1    prior             9          1                 16   \n",
       "9    2550362        1    prior            10          4                  8   \n",
       "10   1187899        1    train            11          4                  8   \n",
       "11   2168274        2    prior             1          2                 11   \n",
       "12   1501582        2    prior             2          5                 10   \n",
       "13   1901567        2    prior             3          1                 10   \n",
       "14    738281        2    prior             4          2                 10   \n",
       "15   1673511        2    prior             5          3                 11   \n",
       "16   1199898        2    prior             6          2                  9   \n",
       "17   3194192        2    prior             7          2                 12   \n",
       "18    788338        2    prior             8          1                 15   \n",
       "19   1718559        2    prior             9          2                  9   \n",
       "20   1447487        2    prior            10          1                 11   \n",
       "21   1402090        2    prior            11          1                 10   \n",
       "22   3186735        2    prior            12          1                  9   \n",
       "23   3268552        2    prior            13          4                 11   \n",
       "24    839880        2    prior            14          3                 10   \n",
       "25   1492625        2    train            15          1                 11   \n",
       "26   1374495        3    prior             1          1                 14   \n",
       "27    444309        3    prior             2          3                 19   \n",
       "28   3002854        3    prior             3          3                 16   \n",
       "29   2037211        3    prior             4          2                 18   \n",
       "30   2710558        3    prior             5          0                 17   \n",
       "31   1972919        3    prior             6          0                 16   \n",
       "32   1839752        3    prior             7          0                 15   \n",
       "33   3225766        3    prior             8          0                 17   \n",
       "34   3160850        3    prior             9          0                 16   \n",
       "35    676467        3    prior            10          3                 16   \n",
       "36    521107        3    prior            11          0                 18   \n",
       "37   1402502        3    prior            12          1                 15   \n",
       "38   2774568        3     test            13          5                 15   \n",
       "39   3343014        4    prior             1          6                 11   \n",
       "40   2030307        4    prior             2          4                 11   \n",
       "41    691089        4    prior             3          4                 15   \n",
       "42     94891        4    prior             4          5                 13   \n",
       "43   2557754        4    prior             5          5                 13   \n",
       "44    329954        4     test             6          3                 12   \n",
       "45   2717275        5    prior             1          3                 12   \n",
       "46   1909121        5    prior             2          0                 16   \n",
       "47   2267326        5    prior             3          3                 18   \n",
       "48    157374        5    prior             4          1                 18   \n",
       "49   2196797        5    train             5          0                 11   \n",
       "\n",
       "    days_since_prior_order  \n",
       "0                      NaN  \n",
       "1                     15.0  \n",
       "2                     21.0  \n",
       "3                     29.0  \n",
       "4                     28.0  \n",
       "5                     19.0  \n",
       "6                     20.0  \n",
       "7                     14.0  \n",
       "8                      0.0  \n",
       "9                     30.0  \n",
       "10                    14.0  \n",
       "11                     NaN  \n",
       "12                    10.0  \n",
       "13                     3.0  \n",
       "14                     8.0  \n",
       "15                     8.0  \n",
       "16                    13.0  \n",
       "17                    14.0  \n",
       "18                    27.0  \n",
       "19                     8.0  \n",
       "20                     6.0  \n",
       "21                    30.0  \n",
       "22                    28.0  \n",
       "23                    30.0  \n",
       "24                    13.0  \n",
       "25                    30.0  \n",
       "26                     NaN  \n",
       "27                     9.0  \n",
       "28                    21.0  \n",
       "29                    20.0  \n",
       "30                    12.0  \n",
       "31                     7.0  \n",
       "32                     7.0  \n",
       "33                     7.0  \n",
       "34                     7.0  \n",
       "35                    17.0  \n",
       "36                    11.0  \n",
       "37                    15.0  \n",
       "38                    11.0  \n",
       "39                     NaN  \n",
       "40                    19.0  \n",
       "41                    21.0  \n",
       "42                    15.0  \n",
       "43                     0.0  \n",
       "44                    30.0  \n",
       "45                     NaN  \n",
       "46                    11.0  \n",
       "47                    10.0  \n",
       "48                    19.0  \n",
       "49                     6.0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "orders_df = pd.read_csv(\"orders.csv\")\n",
    "orders_df.head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>product_id</th>\n",
       "      <th>product_name</th>\n",
       "      <th>aisle_id</th>\n",
       "      <th>department_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Chocolate Sandwich Cookies</td>\n",
       "      <td>61</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>All-Seasons Salt</td>\n",
       "      <td>104</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Robust Golden Unsweetened Oolong Tea</td>\n",
       "      <td>94</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Smart Ones Classic Favorites Mini Rigatoni Wit...</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Green Chile Anytime Sauce</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   product_id                                       product_name  aisle_id  \\\n",
       "0           1                         Chocolate Sandwich Cookies        61   \n",
       "1           2                                   All-Seasons Salt       104   \n",
       "2           3               Robust Golden Unsweetened Oolong Tea        94   \n",
       "3           4  Smart Ones Classic Favorites Mini Rigatoni Wit...        38   \n",
       "4           5                          Green Chile Anytime Sauce         5   \n",
       "\n",
       "   department_id  \n",
       "0             19  \n",
       "1             13  \n",
       "2              7  \n",
       "3              1  \n",
       "4             13  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "products_df = pd.read_csv(\"products.csv\")\n",
    "products_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>aisle_id</th>\n",
       "      <th>aisle</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>prepared soups salads</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>specialty cheeses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>energy granola bars</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>instant foods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>marinades meat preparation</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   aisle_id                       aisle\n",
       "0         1       prepared soups salads\n",
       "1         2           specialty cheeses\n",
       "2         3         energy granola bars\n",
       "3         4               instant foods\n",
       "4         5  marinades meat preparation"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aisles_df = pd.read_csv(\"aisles.csv\")\n",
    "aisles_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>department_id</th>\n",
       "      <th>department</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>frozen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>produce</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>alcohol</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   department_id department\n",
       "0              1     frozen\n",
       "1              2      other\n",
       "2              3     bakery\n",
       "3              4    produce\n",
       "4              5    alcohol"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "departments_df = pd.read_csv(\"departments.csv\")\n",
    "departments_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\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>user_id</th>\n",
       "      <th>eval_set</th>\n",
       "      <th>order_number</th>\n",
       "      <th>order_dow</th>\n",
       "      <th>order_hour_of_day</th>\n",
       "      <th>days_since_prior_order</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2539329</td>\n",
       "      <td>1</td>\n",
       "      <td>prior</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2398795</td>\n",
       "      <td>1</td>\n",
       "      <td>prior</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>473747</td>\n",
       "      <td>1</td>\n",
       "      <td>prior</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2254736</td>\n",
       "      <td>1</td>\n",
       "      <td>prior</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>431534</td>\n",
       "      <td>1</td>\n",
       "      <td>prior</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>28.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   order_id  user_id eval_set  order_number  order_dow  order_hour_of_day  \\\n",
       "0   2539329        1    prior             1          2                  8   \n",
       "1   2398795        1    prior             2          3                  7   \n",
       "2    473747        1    prior             3          3                 12   \n",
       "3   2254736        1    prior             4          4                  7   \n",
       "4    431534        1    prior             5          4                 15   \n",
       "\n",
       "   days_since_prior_order  \n",
       "0                     NaN  \n",
       "1                    15.0  \n",
       "2                    21.0  \n",
       "3                    29.0  \n",
       "4                    28.0  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "orders_df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "prior    3214874\n",
       "train     131209\n",
       "test       75000\n",
       "Name: eval_set, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt_srs = orders_df.eval_set.value_counts()\n",
    "cnt_srs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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GsxeidgN/Bi4FTmxlUZIkSZKWaXYh6vQ21yFJkiSpH03PRY+I7SJin15tR0XE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\nPw8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbb75bc6a20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.barplot(cnt_srs.index, cnt_srs.values, alpha=0.8, color=color[1])\n",
    "plt.ylabel('Number of Occurrences', fontsize=16)\n",
    "plt.xlabel('Eval set type', fontsize=16)\n",
    "plt.title('Count of rows in each dataset', fontsize=18)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "cnt_srs = orders_df.groupby(\"eval_set\").user_id.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "eval_set\n",
       "prior    206209\n",
       "test      75000\n",
       "train    131209\n",
       "Name: user_id, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt_srs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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+/k5Zau94youKn1Puy80o98m/tV3Yuj8lIL+Pcj/9nBKmDqSsyz0wSroVZf3ufSifPnss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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbb75bc6898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.barplot(cnt_srs.index, cnt_srs.values, alpha=0.8, color=color[1])\n",
    "plt.ylabel('Number of Occurrences', fontsize=16)\n",
    "plt.xlabel('Eval set type', fontsize=16)\n",
    "plt.title('Count of distinct Users in each dataset', fontsize=18)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "cnt_srs = orders_df.groupby(\"user_id\").order_number.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "user_id\n",
       "1         11\n",
       "2         15\n",
       "3         13\n",
       "4          6\n",
       "5          5\n",
       "6          4\n",
       "7         21\n",
       "8          4\n",
       "9          4\n",
       "10         6\n",
       "11         8\n",
       "12         6\n",
       "13        13\n",
       "14        14\n",
       "15        23\n",
       "16         7\n",
       "17        41\n",
       "18         7\n",
       "19        10\n",
       "20         5\n",
       "21        34\n",
       "22        16\n",
       "23         5\n",
       "24        19\n",
       "25         4\n",
       "26        13\n",
       "27        82\n",
       "28        25\n",
       "29        19\n",
       "30         9\n",
       "          ..\n",
       "206180    19\n",
       "206181    15\n",
       "206182    11\n",
       "206183    15\n",
       "206184     5\n",
       "206185    11\n",
       "206186     4\n",
       "206187    35\n",
       "206188     8\n",
       "206189     7\n",
       "206190     9\n",
       "206191     6\n",
       "206192    15\n",
       "206193    42\n",
       "206194    12\n",
       "206195    20\n",
       "206196     5\n",
       "206197    24\n",
       "206198     8\n",
       "206199    20\n",
       "206200    24\n",
       "206201    33\n",
       "206202    23\n",
       "206203     6\n",
       "206204     5\n",
       "206205     4\n",
       "206206    68\n",
       "206207    17\n",
       "206208    50\n",
       "206209    14\n",
       "Name: order_number, Length: 206209, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt_srs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "#plt.figure(figsize=(12,8))\n",
    "#sns.barplot(cnt_srs.index, cnt_srs.values, alpha=0.8, color=color[1])\n",
    "#plt.ylabel('Number of Occurrences', fontsize=16)\n",
    "#plt.xlabel('User Id', fontsize=16)\n",
    "#plt.title('Count of orders per userId', fontsize=18)\n",
    "#plt.xticks(rotation='vertical')\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "order_dow\n",
       "0    100\n",
       "1    100\n",
       "2    100\n",
       "3    100\n",
       "4    100\n",
       "5    100\n",
       "6    100\n",
       "Name: order_number, dtype: int64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt_srs = orders_df.groupby(\"order_dow\").order_number.nunique()\n",
    "cnt_srs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AMCQhDADAkIQwAABDEsIAAAxJCAMAMCQhDADAkIQwAABDEsIAAAxJCAMAMCQhDADAkIQw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\nkIQwAABD+m+HG3dEUJxU9gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbb7255df60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.barplot(x=\"order_dow\", data=orders_df, color=color[0])\n",
    "plt.ylabel('Count', fontsize=12)\n",
    "plt.xlabel('Day of week', fontsize=12)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.title(\"Frequency of order by week day\", fontsize=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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IQC5JkiQ1ZCCXJEmSGjKQS5IkSQ0ZyCVJkqSGDOSSJElSQwZySZIkqSEDuSRJ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\nNWQglyRJkhr6/0ng3/E4XBjpAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbb724e34e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.countplot(x=\"order_dow\", data=orders_df, color=color[0])\n",
    "plt.ylabel('Count', fontsize=12)\n",
    "plt.xlabel('Day of week', fontsize=12)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.title(\"Frequency of order by week day\", fontsize=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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SJEkNGcglSZKkhgzkkiRJUkOuQy5Jekx6tTa464L3nj87aXRwhFySJElqyEAuSZIkNWQg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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbb679c09e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.countplot(x=\"order_hour_of_day\", data=orders_df, color=color[0])\n",
    "plt.ylabel('Count', fontsize=12)\n",
    "plt.xlabel('Day of week', fontsize=12)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.title(\"Frequency of order by week day\", fontsize=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "grouped_df = orders_df.groupby([\"order_dow\", \"order_hour_of_day\"])[\"order_number\"].aggregate(\"count\").reset_index()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order_dow</th>\n",
       "      <th>order_hour_of_day</th>\n",
       "      <th>order_number</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>1168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>3329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>12410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>28108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>40798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>48465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>51035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>51443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>53849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>54552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>53954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>49463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>39753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>29572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>22654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>18277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0</td>\n",
       "      <td>21</td>\n",
       "      <td>14423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>11246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>6887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1607</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    order_dow  order_hour_of_day  order_number\n",
       "0           0                  0          3936\n",
       "1           0                  1          2398\n",
       "2           0                  2          1409\n",
       "3           0                  3           963\n",
       "4           0                  4           813\n",
       "5           0                  5          1168\n",
       "6           0                  6          3329\n",
       "7           0                  7         12410\n",
       "8           0                  8         28108\n",
       "9           0                  9         40798\n",
       "10          0                 10         48465\n",
       "11          0                 11         51035\n",
       "12          0                 12         51443\n",
       "13          0                 13         53849\n",
       "14          0                 14         54552\n",
       "15          0                 15         53954\n",
       "16          0                 16         49463\n",
       "17          0                 17         39753\n",
       "18          0                 18         29572\n",
       "19          0                 19         22654\n",
       "20          0                 20         18277\n",
       "21          0                 21         14423\n",
       "22          0                 22         11246\n",
       "23          0                 23          6887\n",
       "24          1                  0          3674\n",
       "25          1                  1          1830\n",
       "26          1                  2          1105\n",
       "27          1                  3           748\n",
       "28          1                  4           809\n",
       "29          1                  5          1607"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped_df.head(30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ExP4R8eZ6fzGwBfA5YO+6yt7A6cBFlORzk4jYiDIe81zgTGDfuu5zgLMzcyVweUQsrcv3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\nNc4kU5IkSY0zyZQkSVLjTDIlSZLUuP8PG7Np9NDziToAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbb725b0b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#grouped_df = orders_df.groupby([\"order_dow\", \"order_hour_of_day\"])[\"order_number\"].aggregate(\"count\").reset_index()\n",
    "#grouped_df = grouped_df.pivot('order_dow', 'order_hour_of_day', 'order_number')\n",
    "\n",
    "plt.figure(figsize=(12,6))\n",
    "sns.heatmap(grouped_df)\n",
    "plt.title(\"Frequency of Day of week Vs Hour of day\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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c+qyVNYxLWrUYyCUNs3spQxPe1GNIggYsIm6kzP19dGaOnRpvENv7DEvGUR876O1J0lRw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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbb6766eba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.countplot(x=\"days_since_prior_order\", data=orders_df, color=color[3])\n",
    "plt.ylabel('Count', fontsize=12)\n",
    "plt.xlabel('Days since prior order', fontsize=12)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.title(\"Frequency distribution by days since prior order\", fontsize=15)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "grouped_df = order_products_train_df.groupby(\"order_id\").add_to_cart_order.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "order_id\n",
       "1           8\n",
       "36          8\n",
       "38          9\n",
       "96          7\n",
       "98         49\n",
       "112        11\n",
       "170        17\n",
       "218         5\n",
       "226        13\n",
       "349        11\n",
       "393         8\n",
       "456         9\n",
       "473         8\n",
       "631        17\n",
       "719         1\n",
       "762         4\n",
       "774         3\n",
       "844         7\n",
       "878        28\n",
       "904         2\n",
       "915        14\n",
       "988         4\n",
       "1001        4\n",
       "1032       25\n",
       "1042        8\n",
       "1077        4\n",
       "1086        5\n",
       "1119        6\n",
       "1120        2\n",
       "1139        9\n",
       "           ..\n",
       "3420498    10\n",
       "3420505     9\n",
       "3420578    18\n",
       "3420586    12\n",
       "3420603    14\n",
       "3420617     1\n",
       "3420693     3\n",
       "3420729     4\n",
       "3420735    10\n",
       "3420745     2\n",
       "3420769     5\n",
       "3420788    24\n",
       "3420798     1\n",
       "3420802     1\n",
       "3420812    15\n",
       "3420851    15\n",
       "3420857    12\n",
       "3420881     5\n",
       "3420894    24\n",
       "3420895    16\n",
       "3420909    10\n",
       "3420979     6\n",
       "3420996    11\n",
       "3420998    28\n",
       "3421026     6\n",
       "3421049     6\n",
       "3421056     5\n",
       "3421058     8\n",
       "3421063     4\n",
       "3421070     3\n",
       "Name: add_to_cart_order, Length: 131209, dtype: int64"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\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>add_to_cart_order</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>36</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>38</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>96</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>98</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>112</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>170</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>218</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>226</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>349</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>393</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>456</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>473</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>631</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>719</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>762</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>774</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>844</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>878</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>904</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>915</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>988</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1001</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1032</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1042</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1077</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1086</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1119</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1120</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1139</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131179</th>\n",
       "      <td>3420498</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131180</th>\n",
       "      <td>3420505</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131181</th>\n",
       "      <td>3420578</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131182</th>\n",
       "      <td>3420586</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131183</th>\n",
       "      <td>3420603</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131184</th>\n",
       "      <td>3420617</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131185</th>\n",
       "      <td>3420693</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131186</th>\n",
       "      <td>3420729</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131187</th>\n",
       "      <td>3420735</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131188</th>\n",
       "      <td>3420745</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131189</th>\n",
       "      <td>3420769</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131190</th>\n",
       "      <td>3420788</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131191</th>\n",
       "      <td>3420798</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131192</th>\n",
       "      <td>3420802</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131193</th>\n",
       "      <td>3420812</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131194</th>\n",
       "      <td>3420851</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131195</th>\n",
       "      <td>3420857</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131196</th>\n",
       "      <td>3420881</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131197</th>\n",
       "      <td>3420894</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131198</th>\n",
       "      <td>3420895</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131199</th>\n",
       "      <td>3420909</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131200</th>\n",
       "      <td>3420979</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131201</th>\n",
       "      <td>3420996</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131202</th>\n",
       "      <td>3420998</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131203</th>\n",
       "      <td>3421026</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131204</th>\n",
       "      <td>3421049</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131205</th>\n",
       "      <td>3421056</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131206</th>\n",
       "      <td>3421058</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131207</th>\n",
       "      <td>3421063</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131208</th>\n",
       "      <td>3421070</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>131209 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        order_id  add_to_cart_order\n",
       "0              1                  8\n",
       "1             36                  8\n",
       "2             38                  9\n",
       "3             96                  7\n",
       "4             98                 49\n",
       "5            112                 11\n",
       "6            170                 17\n",
       "7            218                  5\n",
       "8            226                 13\n",
       "9            349                 11\n",
       "10           393                  8\n",
       "11           456                  9\n",
       "12           473                  8\n",
       "13           631                 17\n",
       "14           719                  1\n",
       "15           762                  4\n",
       "16           774                  3\n",
       "17           844                  7\n",
       "18           878                 28\n",
       "19           904                  2\n",
       "20           915                 14\n",
       "21           988                  4\n",
       "22          1001                  4\n",
       "23          1032                 25\n",
       "24          1042                  8\n",
       "25          1077                  4\n",
       "26          1086                  5\n",
       "27          1119                  6\n",
       "28          1120                  2\n",
       "29          1139                  9\n",
       "...          ...                ...\n",
       "131179   3420498                 10\n",
       "131180   3420505                  9\n",
       "131181   3420578                 18\n",
       "131182   3420586                 12\n",
       "131183   3420603                 14\n",
       "131184   3420617                  1\n",
       "131185   3420693                  3\n",
       "131186   3420729                  4\n",
       "131187   3420735                 10\n",
       "131188   3420745                  2\n",
       "131189   3420769                  5\n",
       "131190   3420788                 24\n",
       "131191   3420798                  1\n",
       "131192   3420802                  1\n",
       "131193   3420812                 15\n",
       "131194   3420851                 15\n",
       "131195   3420857                 12\n",
       "131196   3420881                  5\n",
       "131197   3420894                 24\n",
       "131198   3420895                 16\n",
       "131199   3420909                 10\n",
       "131200   3420979                  6\n",
       "131201   3420996                 11\n",
       "131202   3420998                 28\n",
       "131203   3421026                  6\n",
       "131204   3421049                  6\n",
       "131205   3421056                  5\n",
       "131206   3421058                  8\n",
       "131207   3421063                  4\n",
       "131208   3421070                  3\n",
       "\n",
       "[131209 rows x 2 columns]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped_df = order_products_train_df.groupby(\"order_id\")[\"add_to_cart_order\"].aggregate(\"max\").reset_index()\n",
    "grouped_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5     8895\n",
       "6     8708\n",
       "7     8541\n",
       "4     8218\n",
       "3     8033\n",
       "8     7983\n",
       "2     7368\n",
       "9     7217\n",
       "1     6845\n",
       "10    6553\n",
       "11    6034\n",
       "12    5383\n",
       "13    4843\n",
       "14    4394\n",
       "15    3831\n",
       "16    3522\n",
       "17    3108\n",
       "18    2719\n",
       "19    2473\n",
       "20    2102\n",
       "21    1857\n",
       "22    1681\n",
       "23    1462\n",
       "24    1292\n",
       "25    1079\n",
       "26     986\n",
       "27     860\n",
       "28     679\n",
       "29     634\n",
       "30     553\n",
       "      ... \n",
       "47      49\n",
       "46      48\n",
       "48      32\n",
       "50      31\n",
       "49      26\n",
       "51      24\n",
       "52      23\n",
       "53      18\n",
       "54      15\n",
       "55      12\n",
       "56      10\n",
       "60       8\n",
       "57       6\n",
       "58       5\n",
       "63       5\n",
       "70       4\n",
       "59       4\n",
       "64       4\n",
       "61       3\n",
       "62       3\n",
       "65       3\n",
       "76       2\n",
       "74       2\n",
       "72       2\n",
       "80       2\n",
       "68       2\n",
       "66       2\n",
       "67       1\n",
       "75       1\n",
       "77       1\n",
       "Name: add_to_cart_order, Length: 75, dtype: int64"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt_srs = grouped_df.add_to_cart_order.value_counts()\n",
    "cnt_srs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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SBSbakiRJUgUOhpS0Ujvs+u8P3D99k7eNUiSSpPHGFm1JkiSpAlu0JWkYh11/\n2sD90zfZfZQikSSNJbZoS5IkSRXYoi1JI+DwX/64/75N3ziKkUiSVhS2aEuSJEkV2KItSaPk8F+e\n1X/fpruOYiSSpNFgi7YkSZJUgS3akrQCOfy6n/bft9lrRzESSdKyskVbkiRJqsBEW5IkSarAriOS\nNMYcft15/fdt9upRjESSNIiJtiSNQ9Ovu6DvvsM226GUufai/mU2326EI5KklY9dRyRJkqQKbNGW\nJPU1/dpL+u47bPNtRzESSRp7bNGWJEmSKrBFW5K0TKZfe1nffYdtvnVT5ooBZbYC4Ihrr+lb5tDN\nX7KU0UnS8jMmEu2I+DKwFbAA+HBmXr2cQ5IkLQdHXvvLvvsO2XxTjrz2hoGPP2TzjUc6JEnqa4VP\ntCPiFcBzM/OlEfE84DvAS5dzWJKkMerT1/124P5PbfZ8PnPdjX33/+tmGwLw2ev+2LfMwZs9e+mC\nkzSurPCJNrAD8GOAzPxdREyJiL/LzL8t57gkSRroqOtu6bvvoM2eCcDnr7ujb5l/2WxdAI7+5ay+\nZQ7cdAoA377+gb5l3rPJGgD84PqH+pbZc5PV+u6TtHTGQqK9LnBt1/2ZzTYTbUmSRtjZ1z/Sd9/O\nmzwZgIt++WjfMttt+iQArrhudt8yW232RAB+ee1jfctsuvkqAPzm6v5lXrjFKtx4Rf/zAGy41RP5\n0+WDy2zwsidy66X9r+kZ25RruvOi/mXW2a6UmXVB/zJTdihlHjy3f5nVdyplZs/o/zw8cZfyPMw9\n48G+ZSa9fnUA5p11T98yE3ddq+++XvPPvrXvvifs/IxS5qd/7l/mtc8qZc65qX+Z1zy3lDn3d/3L\n7PS8AVEutOC8/t3MACa8etN2xzn/8v7H2PFlwz5+woIFC1qdaHmJiGOBGZn5k+b+pcB+mdn/ez1J\nkiRpORsL0/vdRmnB7ngacPtyikWSJElqZSwk2ucBuwNExGbAbZnZvyOaJEmStAJY4buOAETE54CX\nA/OBD2bmr5ZzSJIkSdJAYyLRliRJksaasdB1RJIkSRpzTLQlSZKkCky0JUmSpApWqkQ7ItbsuT9h\niDLP6PPYtVscf/th9k+KiPUjYuBCQW3O1cZQ19fZHhHTIuKpI3EeSZIkLW6lGgwZEf+TmdtHxJuA\nrwCrAmcDB3SmDIyI/wG+BPwbcAvwEeAkyiqaqwEfyMyzI+KdPYefAHwKOBIgM0+IiK9m5oeb4+4I\nHAfcATy0c4hPAAAW3UlEQVQV2D8zz42I1wJvyMz9m0T9v4AHmnMdkJkzIuJvwPHAkZl5V59rezXw\nVcrKmR8HjqHMOf4A8P7MvDgiNmyubX1gA+B3wFTKypv/nJl/jYjJwH7AjsB6zeFvA84Bjs/MecPU\n8ecy85NNEv+x5vgnZ+aFXWW+npkHRMRawHuBWzPzexFxELA1kMBRmXl3n3NcmJmv7Lr/2sz8aXN7\nKjAdeCHwG2B6Zt4dEU8Bts3Ms5oPXAcDz2/O9bnMnBkR3wC+nZnXDLi+pwDvB+4Gvgt8ENgcuAn4\nWmb+LSKeAOwJ7ER5ricAfwbOzMyfWsfW8Xio4+Y4y1zPlPda67hiHY/X17J1vEK9loetwzb1MxLX\nDswZoeteptdFx1hYgn2JRMQH+uyaADy9uf1JYFPgPuA9wHkR8ZrMvJ+FCfOrgP8HnEVJhH8VEesA\nZ1KS80OBe4AZzWMAnkRJYDs27rp9KPDKzPxjRKwLnA6cCxwB7NqUOayrzFrNsWdQEuFTgZMj4i+U\nF/rlmTm35/jbU17AFwE7ZOYNEbE+8D1gW+AbwHua4wfwT5n5wYh4DeXDxHbAicAfKAn5XV31thvl\nQ8A7I2LVPnUM8NLm9/eAHwPXAIdFxDaZeWSz7/nN7xOBK4BtI2I3yh/BdGDLZt9rI2I+5YX9WFc9\nrxcRfwIWZOazgU8AP232fR34FfAfzfX8F/A64DTglKbMfwD/CxxOebM4Hti5iX1y86bytcy8eIjr\nOxH4BbARcGnzczKwBfAdypzv/wn8pTnPTk3cVwL7RsQOwDOwjq3jMV7HmflxRub9wjquX8cwPuvZ\nOq5fx52Yh6vnYeuwTf2M0LU/aQSve7hrGta4S7SBfwbOZ+jVIyc3v+dl5r3N7WMj4k7g3IjYFVgA\nzM7MvwB/iYi/ZjNvd2beGRGPNo97IXAI8GJKa/DNTbI+vet83V8X3JuZf2yOc0dEzOmKqbMAz33A\nnzrlWfgiW5CZPwd2jIiXUD4cHBsRDwB3ZeYuwGOZeTtwe0Tcl5k3NOe6OSI6n7qe2ImB8kl046bM\nORHRiXu9zHxrT739Afh5RHReiPcBf+0ps6CJd53m/iqZ+R8AEfFD4MSIODQzj+i6ridl5hFRurj8\nX2a+qdl+dUTs3tx+LeWD0dcz84fN8X6RmZ03tl7rZObnm9u/i4g9m9t/l5nf7rrGvZrb10TEO5rb\n92bmu6O0/H84Ir4KXEX5I74rM08FVs/Mo5o4fpeZBzaPPS/KtyEAG2bm+7uu5fzmzeS8iLgSeNQ6\nto7HQR13YljWer7KOn78WmrVMYzD1zLWcceK8FpuU4dt6mckrn3VEbruNtc0rPGYaL8R+Hfgw5k5\nu3tHRGzX3Lw0Is4C9sjMRzLzJ00CfQGwFnBZRHw8M7+YmVs3j30G5SuPWwAy81HgXyMigGMi4nIW\n7/P+woj4AeUF9NyI2CMzT42Ij1H+aAG+APwyIn5GSa5/3Bxre6DzQnm8r3WWrzmuaWJaj4VfZ8yK\niM808f8+ytci5wJbAXc2ZX4TEd+nvJh2Ai5sjnMc5RMfwPyIeDPla7U5zf4nUj7Bderz48BTM/NT\nvZUfEZ2vguZE+bT+o8ycHxF7A/8VEccCazRlJkfE+lk+DPxT1zE2pvlQlKV7zUXAwc0fyD+z6AcY\ngLUjYufm9uyI2DhLa/4GlC44NHXyZUrL/YURsQfwc8ofdedD2YLmnDcCH4zytdErKJ/aN6R8qzA5\nIp4DTAOmRsRWmXlFRGwErNIc5wlRuvJcDewCPNJcVyfG+U3dnDECdbw78MNRrOMJwGMrWB3vugR1\nvPsI1fG3WtTxi5ehjtu+jvcELh7BOn5enzoe6nXcqeeh3i+WpJ7nLof3ihWxjod6HY9UHcOyvScv\n7WuZyvU8Vuq45vtF7Tpu+1pukzsM+xocoWu/qcX/Ilpcd5v/I8Mad4l2Zv4mSsv0nCF2f6wpc2CU\npPvRrsedGxG/AN5C+XrjdT2PfSpwM3BQz/kS2LV5wfyp5zF79Ny/qfl9O7BX8/iTIuKnlD5Az6L8\nA7gT2Dczb2vKn9jnWm9n4YvmncA+wA2ZeUpEvJ3S/eX3lO4pAPsDbwCeC3wlM89ptn8V+HVze++m\n/BcjovPH+gDlW4J3Nef994jYOyJWy8yHesI6r/m9H6W/+tnAI5k5H3hXE9fLmjIHAkcDb8nMcwEi\n4o2Ur3je03WdsylfM20IfI3yx05ErJmZ91G61nTq+k7Khw0oH2KOam6/i9Iv7ggW1vMdlK+fOm92\ni/SNa/6wzgfOj4UDaf8V+D6lL/wrgK81/+xvb+oX4H3A5yn1fAPwj832fwAOaMoeARzd1PGErjp+\nd1cdvyMiVs/MB3vquNOCsG9Tx2dRWnC767gzMPcTA+r48f5wmTk7Ig4HntNTx8/IzFubOt4dmNjE\n313HX+up4+lNHT+hq47/ubuOI2JCZi7oqePOQOSDKV9L3jtEHXdiHlTHH6f8Lfar47176vjx13FE\nrJ2lj+TPeup4Bs3rOMoH5Vez8Kvgoep4D0oXtH2765jyOn5uU2edVrCOTh1D8zqOMjD6i805eut4\ng+a65lPeI97VXcdd550TEddn5vldmzt1fHdTx19v3hN/w+Kv4+dQ3h/2b+LZslOHLHy/+ELX+8WD\nQ9Tz3j31vH1m/k9TzycAn6brvSIiTmjq5wUD6nh3yt/juwfU8bQ+ddx5n10rytiYfxyijrvfK+6m\ndBvsfFU8VB3P77T6ddVx73vFpsCtw9Tx9pR/9p2Wt+735FUp/7en0PXVdW8dRxlw/3RKC2z3a/nx\neqb8fR7axDZkPTfHOaCpj85z3lvPxwBbRMTEXNhntfc9eZ0o3RiHei136nkVyvvLcfR5LVMSrpuA\nizJzbkRs21PHx0TEC5v7nf8hve8VH2hi2ZrFX8edOl7W94vu13Lt94vu13K/94vu1/LSvl901/NQ\n7xeDcofO381i9cPC/1md12Df//mDrr3Z/gVKXnEJ5Xkf6v9957oXGe/W/b+oa3Pnmo7uuqaHKM93\nq24jMA4TbYDMfLjP9uu6bl80xP6/Ad9q7v5giMde1/uYrv0n0pMQ59B9fsjMk3vu39t7vp793+m3\nr6vMQ5Q3vM79kyif5rrLLKD0j+p97A1dt2+lJMmLifIV0fZNuSGTf0pyf1Rm3kJJ/HvPdVJEdJLJ\nX1D6fXXv/zGlVf/xc3Xtu5HyoeZpzaYfAdtn5r4MITN3b45zepb+7P/Z/Ax5XZm5Z+++Lp1z/Zzy\nT7D7enuPk5RvVnrjObwp8zVgB8on7xksPhh3+yYZ/gzw5YhYZMAu8ErKm9UWlDq6pbtMU8edfzLr\nAVtFxEwWDvxdpI5j8cHBb2Nh68sJzTnOaMp0Yr6mp45PpLQWfXLQdQHfj4ibgVWHuK7Oudam/FN5\nNuWD7ZuHOM7zKeMsVqP05bu/p46/RPlH+ifgo5S/hYmUFo0zgLObFpFDgH0i4vFBz80b6gebmF5M\n+WB4ZleZicDqXWXWAjaJiPNZdPD06sC6Tdy7sOgA62cCEyLizzQDrCn9KYcahL168wPlH/ZHmjKd\nRoFJlH92NzTP3/ERkb3Haa6rc66/A54C/K15/DRKX9EplHEeUJK/5zXH+Uxz7M6g8CuBG5vn4iJK\nK1nHIcDllG/NToiFA8d3iwhoxsFExJGUpHN7yofHPbr3U17j32weuyEwo+tY3WVeCFwXiw9QPxU4\ntLM9M0+g+RavefwCyjicznHWb/btRflnekrXsT5F+Ue9J+V1OqPnfN3X1DnXBpT+o1A+AH6v2fZv\nzfVcQfnQ8qOueHZo6u9ISh/Sm4BPZOZ+sMig+j9QGmdOBe6IwQPvOx9CP5GZ+/SUuZ3yt9Yp87bM\nfMsQx1mNhR++Hz9XU2cvoPyd/T4i9m+Sx7/1iWcd4MnNY7/UlPnPnjLvprQ+n0tX62PvdUXE/sDO\nmblF1/7nUAY6rgN0Gkc+kJlv7CpzaVcsP6e8jl8EzMnMZ8fCSQkeBV5D+YA1I8rEBdtkGcD4+MQF\nzd/Vh5pzvYjSjfORrjJ/o/z9dspMpflGOxadAGF1mm+om/em12fm/pT3ihcB86L0Uz4gM2dQnvs3\nZOb7m+N8t+s4nffvVwEvzsyde871fsoHuxnAdyPiG9kzIUNzXZ1zrQFc13Wu5wL/19RxZ5a031L6\nP2+VfSZt6CqzBs03C7BovhKLTv7Q+z+/Y/fmeheZICIzd+85xj4DYtk5Ir7We4wez6f8Hf6V8uHl\nGMpztB0QlNfRsMZloq2lF/0Hk0IzmHRAmQktyrQ5zrBlovRvG5VzMfLX1T0Y990sPhgXSoI5aMAu\nDB7Uu6BFmb7HofyDYVCZYWLud11LFc8wZYY6V/eA5jMp/7RuiEUHNB/C4EHPMxh+YHSbMmcPUWao\neIYrM6Mn5n7XVSuetoPCV2FhKxJ9ynQGji+gtAwN2j/oGMOdZxUWHaA+6DjDlek+ziEtygyqmzbx\ndO63GVQ/XJlzWpZ50Qic69wWx2kTT5vjPDLM/rbX1GZSguHKnNWyzPQW5xqJMm3iGclztZm0YanL\nsKhrhjlOm/MMdwxYfJKJ7TPz17HoJBPDMtFWrzaDSS2zbGW6B+N+KyLuYtHBuDD8gN3hyjBCx1na\nMrWuq+25ZueiA5o7g4O7BzT3lhlq0HOtMm3iGakyIxXPkgwK73RXG1RmOkBEHD1o/0idZ5SOM1Ln\n6i7TZlD9SJWhRZkV7TgjcYzeSQn+3CnPwg88bSYuqFVmpOKpeZw2kzaMSpkRPE/vJBO/hsUmmRiW\nibZ6tRlMapllK3N1DB6MC8MP2LXMMg5oBu60zLKVyRaDwocrMxLHGM9laDeofmUts9UInad3UoLT\nY/FJCdpMXFCrzEjFU/M4nYR70KQNo1XmSyN0njaTTAzLRFuLyHaDSS2zDGUy87oYPBi3zYBdyyz7\ngOZ9LLPMZYBhB4W3KjMSxxinZYYdVL8Sl9l8JM6TLSYlsMyITNowKmUiYqTO02aSiWGtVCtDSpIk\nSaOl9ysqSZIkSSPARFuSJEmqwERb0nITEQuirEzavW27KCuDjdQ5/hwR24zU8YY511Mi4vqIuCnK\n1Fe1z/eOZamriHhLRPzdEpR/U0QMO69/z2PWiYjXN7efFRFzh3vM0oqICyJis1rHX1YRcX5E7LO8\n45A0ehwMKWl5e0VEbJqZv1zegYyAjYG1MvOZyzuQlqYDl1EW1RhWZp5OmXt4SbySMojqjCV83BLL\nzB1qn0OSloSJtqTl7SDKqpOv6N0RZVn4Z2Tme3rvNy255wBvoKwIdzhlZcN3UJYZ3iUzOzM4bB9l\nFbC1geMz81PN8d5AWZZ6NcpI8r0y8+7mPE+nzG98cmZ+pSeu7Sgr/K1KWZXyg5T5W0+iLDf9f5RV\n5O7uesxFlEUPXkNZ2OQMYP/MnBcRCyjLHO9DWY3sBZRVTNeizKzyL82sKk+gTB35esqqZBf3HP/b\nmfm93vsR8RrKlFeTKSvhvZOyVHMAFzWtrBOBL1MWTJkAHJqZp/Zc9z7AOzJzx4j4LmUGkpdRVjq8\nkbKozcNd5TejrI44KSJWpyw0RETsR1m1cgpwYGZ+P8oiVIcAb29i+DFlbulF5quNiCdRVmfcGvhf\nyoq962bmPlFW2nxH89x8PjN/2DzmjcAnM3OrYZ7ztVn4vN/dXM8i8+E3z8GRwG7NpiuAD2ZZ+vwi\nygeXN1MWUrqDsnT12k25SV3H2Zryup/SnGuvLIuA7EN5fp8CXJuZByJpzLLriKTlqknmJkTE7kvx\n8JdTVufaFzgauDUzN6Is9btfV7nNgZc0vz8QES+OiGdTpnh6W2Y+m7I89ze6HrMzZYnn3iR7dcqK\nYh9qznU0cDJlOfF3An/JzI26k+wur6XMPbtBE3v34kITMjMoC3n8N/D15vjvoSxdvwYlSX81JRl/\nRXOMgaIspXwS8JbM3JCSXB6ZzbLewHaZeSkl8f5oZj6fkui9abhjU6ZOewvw95Qluhd5TGZeR0m0\nT8vMtzabnwCskpkbAx+lJL1QEuQ9KcuV/33z848s7j3A0yjLf7+X8tz3Oq25ho43AT9o8ZzvQfkA\n8PeUD07dr6GOPSnP4+aUD0RrNtfRsTnwgsy8HPgccEFm/j3wVcqHA5rn8kzg4Mx8TrPvB13HeDXl\nQ5hJtjTGmWhLWhF8BPh801q5JM7MsmTurymty6c1239NScY6TsrMeZl5F6UV+KWUpPWizPxNU+Yb\nwOsjYmJz/8o+yfKWlIT+MoCm1XRtFl1au5//zsyHm1bfcyitwR1nNb83ANalJNudxRRuBragJNYz\nMvPBzHyERZOzfrYGbum6zgNZNDHsuAt4Z0RslJk3ZeZeQ5TpNSMz7+16Dv5fi8dMoLRIA/wSeEZz\n+3XAdzLz/uZ436a0DPfalpK4z83MmylLQPc6Ddg5IiZGxCRgF8qHo+Ge859n5s2ZuaCJbajr2YXy\nrchDTWv7f1ES446zM3N+c/vlwCkAmXkV8H9d13BrZv6s2fd94DkR0TnfjZl5E5LGPLuOSFrusizi\n83PK8vWXL8FDO8sCz2uO82DX/Yld5WZ23b6f8nX9BODlTTeP7n2dQYz3MrRpwKyebfdRFnMZTvcx\nZ7Hoh4HOvmnAfU2y1132qcBU4Lae7cNZm4Ur4JGZj/Uptx/wKeD8iHgEOCgzT+tTtuP+rtu9dd7P\nvK7uJd2PWRP4eES8r7k/iUWft44pLFqPfwUW6RPfdMG4hfJBZnLZlLdExJoMfs7bXE/v8995bjq6\nY5vac8zO49YE/r4njtnNsXuPIWkMM9GWtKI4GLiWRVfG6012pizlsaf2HONeSmJzfmYu1mUlIgYd\n604WJmY0fYunNtvXHyaOtXtiGiqhuhOYGhETupLttZrtsyh9dzumdd3uV1d3d583IlYFpmbmrd0n\nzcw7gQ8BH4qIVwM/iohzuj681HYbcEZmfn2Ycn8DVu+6v16fcp3uI09kYcv/bSzdc95tkeefhc/N\nUPo9X7cBv8vMlwwRx4vaBiJpxWfXEUkrhGbQ2TGUQY0dtwMvjIgnRMTalH7TS+OtzTGeSvna/hLg\nXGDbpt8uEfEPEfHVFse6Clg3Il7aOTalf/afWzz2TRHxxKbf9GubOHr9uTneW5q4XkbpSnIV8Atg\np4hYtUmYu5eXvp0yiI8mtg2b7Zc28W7R3D8EOLS5PRdYMyImR8RFEdFJWq8F5lAGlS6rOZQW3OH8\nBNi7uS4i4v0R8a4hyl0F7NY8n8+k1ONQTqPMdrIrpdsILP1z3u0s4B3NczCJMuhxqO4rUJ6vNzXn\nehll0C7AlcB6EbFls+/ZEXFi86FN0jhioi1pRfIlSgtkx6nAQ8AfKIPYTh3qQS1cTUnQrgG+nJm/\nbRL79wKnR8TvKIP2ThnuQJn5EGVA3Nebr/4/ALy1p6tHP5dTBuD9ufn90yGOv4CSvB/QxPXvwB7N\nec+kzGqRlL7mZ3c99N+AXZrHvBM4rznew5QZMr4XETdSpiA8uHnMD5qY3kTpE31BRPy2OfaHumcQ\nWQbnUWZ9uXqYcj+mXN91Tb2+npIY9/oGZSaWP1A+mP03ZQDpIjLzRsr/uL9m5m3NtqV6znucRqn3\na4HfALdQnqOhHAi8LiL+ABwAdPpkPwLsDnytieN04NSWryFJY8iEBQv8u5ak2nqn39PS6+5WExFf\nACZl5lADPCVpubJFW5I0ZjSrTF7ddMFZnTILyC+Wc1iSNCQHQ0qSxpIZlL76v6P0IT+LhdM6StIK\nxa4jkiRJUgV2HZEkSZIqMNGWJEmSKjDRliRJkiow0ZYkSZIqMNGWJEmSKjDRliRJkir4/2LqIFOF\nNIJiAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbb6766e4e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.barplot(cnt_srs.index, cnt_srs.values, alpha=0.8)\n",
    "plt.ylabel('Number of Occurrences', fontsize=12)\n",
    "plt.xlabel('Number of products in the given order', fontsize=12)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\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>product_id</th>\n",
       "      <th>add_to_cart_order</th>\n",
       "      <th>reordered</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>33120</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>28985</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>9327</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>45918</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>30035</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   order_id  product_id  add_to_cart_order  reordered\n",
       "0         2       33120                  1          1\n",
       "1         2       28985                  2          1\n",
       "2         2        9327                  3          0\n",
       "3         2       45918                  4          1\n",
       "4         2       30035                  5          0"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Now let us merge these product details with the order_prior details.\n",
    "order_products_prior_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\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>product_id</th>\n",
       "      <th>add_to_cart_order</th>\n",
       "      <th>reordered</th>\n",
       "      <th>product_name</th>\n",
       "      <th>aisle_id</th>\n",
       "      <th>department_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>33120</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Organic Egg Whites</td>\n",
       "      <td>86</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>28985</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Michigan Organic Kale</td>\n",
       "      <td>83</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>9327</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Garlic Powder</td>\n",
       "      <td>104</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>45918</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Coconut Butter</td>\n",
       "      <td>19</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>30035</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>Natural Sweetener</td>\n",
       "      <td>17</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   order_id  product_id  add_to_cart_order  reordered           product_name  \\\n",
       "0         2       33120                  1          1     Organic Egg Whites   \n",
       "1         2       28985                  2          1  Michigan Organic Kale   \n",
       "2         2        9327                  3          0          Garlic Powder   \n",
       "3         2       45918                  4          1         Coconut Butter   \n",
       "4         2       30035                  5          0      Natural Sweetener   \n",
       "\n",
       "   aisle_id  department_id  \n",
       "0        86             16  \n",
       "1        83              4  \n",
       "2       104             13  \n",
       "3        19             13  \n",
       "4        17             13  "
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "order_products_prior_df = pd.merge(order_products_prior_df, products_df, on='product_id', how='left')\n",
    "order_products_prior_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "order_products_prior_df = pd.merge(order_products_prior_df, aisles_df, on='aisle_id', how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\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>product_id</th>\n",
       "      <th>add_to_cart_order</th>\n",
       "      <th>reordered</th>\n",
       "      <th>product_name</th>\n",
       "      <th>aisle_id</th>\n",
       "      <th>department_id</th>\n",
       "      <th>aisle</th>\n",
       "      <th>department</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>33120</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Organic Egg Whites</td>\n",
       "      <td>86</td>\n",
       "      <td>16</td>\n",
       "      <td>eggs</td>\n",
       "      <td>dairy eggs</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>28985</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Michigan Organic Kale</td>\n",
       "      <td>83</td>\n",
       "      <td>4</td>\n",
       "      <td>fresh vegetables</td>\n",
       "      <td>produce</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>9327</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Garlic Powder</td>\n",
       "      <td>104</td>\n",
       "      <td>13</td>\n",
       "      <td>spices seasonings</td>\n",
       "      <td>pantry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>45918</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Coconut Butter</td>\n",
       "      <td>19</td>\n",
       "      <td>13</td>\n",
       "      <td>oils vinegars</td>\n",
       "      <td>pantry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>30035</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>Natural Sweetener</td>\n",
       "      <td>17</td>\n",
       "      <td>13</td>\n",
       "      <td>baking ingredients</td>\n",
       "      <td>pantry</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   order_id  product_id  add_to_cart_order  reordered           product_name  \\\n",
       "0         2       33120                  1          1     Organic Egg Whites   \n",
       "1         2       28985                  2          1  Michigan Organic Kale   \n",
       "2         2        9327                  3          0          Garlic Powder   \n",
       "3         2       45918                  4          1         Coconut Butter   \n",
       "4         2       30035                  5          0      Natural Sweetener   \n",
       "\n",
       "   aisle_id  department_id               aisle  department  \n",
       "0        86             16                eggs  dairy eggs  \n",
       "1        83              4    fresh vegetables     produce  \n",
       "2       104             13   spices seasonings      pantry  \n",
       "3        19             13       oils vinegars      pantry  \n",
       "4        17             13  baking ingredients      pantry  "
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "order_products_prior_df = pd.merge(order_products_prior_df, departments_df, on='department_id', how='left')\n",
    "order_products_prior_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "cnt_srs = order_products_prior_df['product_name'].value_counts().reset_index().head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>product_name</th>\n",
       "      <th>frequency_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Banana</td>\n",
       "      <td>472565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bag of Organic Bananas</td>\n",
       "      <td>379450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Organic Strawberries</td>\n",
       "      <td>264683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Organic Baby Spinach</td>\n",
       "      <td>241921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Organic Hass Avocado</td>\n",
       "      <td>213584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Organic Avocado</td>\n",
       "      <td>176815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Large Lemon</td>\n",
       "      <td>152657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Strawberries</td>\n",
       "      <td>142951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Limes</td>\n",
       "      <td>140627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Organic Whole Milk</td>\n",
       "      <td>137905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Organic Raspberries</td>\n",
       "      <td>137057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Organic Yellow Onion</td>\n",
       "      <td>113426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Organic Garlic</td>\n",
       "      <td>109778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Organic Zucchini</td>\n",
       "      <td>104823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Organic Blueberries</td>\n",
       "      <td>100060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Cucumber Kirby</td>\n",
       "      <td>97315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Organic Fuji Apple</td>\n",
       "      <td>89632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Organic Lemon</td>\n",
       "      <td>87746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Apple Honeycrisp Organic</td>\n",
       "      <td>85020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Organic Grape Tomatoes</td>\n",
       "      <td>84255</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                product_name  frequency_count\n",
       "0                     Banana           472565\n",
       "1     Bag of Organic Bananas           379450\n",
       "2       Organic Strawberries           264683\n",
       "3       Organic Baby Spinach           241921\n",
       "4       Organic Hass Avocado           213584\n",
       "5            Organic Avocado           176815\n",
       "6                Large Lemon           152657\n",
       "7               Strawberries           142951\n",
       "8                      Limes           140627\n",
       "9         Organic Whole Milk           137905\n",
       "10       Organic Raspberries           137057\n",
       "11      Organic Yellow Onion           113426\n",
       "12            Organic Garlic           109778\n",
       "13          Organic Zucchini           104823\n",
       "14       Organic Blueberries           100060\n",
       "15            Cucumber Kirby            97315\n",
       "16        Organic Fuji Apple            89632\n",
       "17             Organic Lemon            87746\n",
       "18  Apple Honeycrisp Organic            85020\n",
       "19    Organic Grape Tomatoes            84255"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt_srs.columns = ['product_name', 'frequency_count']\n",
    "cnt_srs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "fresh fruits                     3642188\n",
       "fresh vegetables                 3418021\n",
       "packaged vegetables fruits       1765313\n",
       "yogurt                           1452343\n",
       "packaged cheese                   979763\n",
       "milk                              891015\n",
       "water seltzer sparkling water     841533\n",
       "chips pretzels                    722470\n",
       "soy lactosefree                   638253\n",
       "bread                             584834\n",
       "refrigerated                      575881\n",
       "frozen produce                    522654\n",
       "ice cream ice                     498425\n",
       "crackers                          458838\n",
       "energy granola bars               456386\n",
       "eggs                              452134\n",
       "lunch meat                        395130\n",
       "frozen meals                      390299\n",
       "baby food formula                 382456\n",
       "fresh herbs                       377741\n",
       "Name: aisle, dtype: int64"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnt_srs = order_products_prior_df['aisle'].value_counts().head(20)\n",
    "cnt_srs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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uTZIkSZqzhhn6As3Fja4Evg78ANgyydNHVpUkSZI0x61z6EuSvwVeC/wcWDXw0ATw6BHV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\n2wAAAAhJREFUpRb6f+vo4e5hOBoJAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbb6775f748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.barplot(cnt_srs.index, cnt_srs.values, alpha=0.8, color=color[5])\n",
    "plt.ylabel('Number of Occurrences', fontsize=12)\n",
    "plt.xlabel('Aisle', fontsize=12)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "produce            9479291\n",
       "dairy eggs         5414016\n",
       "snacks             2887550\n",
       "beverages          2690129\n",
       "frozen             2236432\n",
       "pantry             1875577\n",
       "bakery             1176787\n",
       "canned goods       1068058\n",
       "deli               1051249\n",
       "dry goods pasta     866627\n",
       "household           738666\n",
       "breakfast           709569\n",
       "meat seafood        708931\n",
       "personal care       447123\n",
       "babies              423802\n",
       "international       269253\n",
       "alcohol             153696\n",
       "pets                 97724\n",
       "missing              69145\n",
       "other                36291\n",
       "bulk                 34573\n",
       "Name: department, dtype: int64"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbb6778f588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,14))\n",
    "temp_series = order_products_prior_df['department'].value_counts()\n",
    "temp_series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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khzXAVf+HDLozr9lUVdc9nJZ3bBQyCcPm7vPKCI9IeLZNIHBwzrOhzsmmVopP\nx5nEPNnQ8cUokcKT4Bo8zf8EvH+09hd2pU3bPPlu61Rm6d7R2qcwo6I7IN+gRUKzbfyBA/OeD3VN\nutFwlDE4t6CQy9UTmBSeBNbgaX4D8OVR37HlGvfMxLvKT+RM3DHq+xYx4w5TVXQqeMh0DiGuhG3j\nDey/ZmfoxMQbTGeJWIBz5dYlXxQi4osUngTV4GmeBfwM546/o8+yCneMu23WkQL1VFT2L2JiXuvw\nQdMZhLhcts1wYN+C3aHu8YtNZznL3VxojTMR16TwJKAGT3MJ0AwURvVAlpWpx9x4w8ul12+I6nFE\n1Mw45MsynUGIy2HbDPlbF74U6hm3yHSW8/j3ak9TrekQ4vJJ4UkwkbufNwLTY3JAy3IdLp67YkfF\nrbJAYQLKHwrPcYVsv+kcQlwK22bAv/e6veGTFdeaznIBFvCjak/TAtNBxOWRwpN4vgrcFuuDnsib\ntHJrZfWmMFYw1scWV86CvCnHfC+aziHExdg2/f6XF+0P95YnQpHIxZnEPMZ0EHHpLNu2TWcQl6jB\n0/wO4CcmM2QGB59Z2varuW47lGMyh7h0B8dlrG+6pWg0b7AYt4Y7Bjj4052MuWkSZUsmYofCHPrV\nHnw9Q7gz0ph87zzSss/cIql72zFO7mg/8/nH+pn/6ZV0bTlM764OcicVMf4OZzD15I52AgN+ym+e\nFPPnlexsmz6/Xnw4fKpsnuksl+lvwOuaH6oJmw4iLk5GeBJEg6d5Ks56O0b50nKv3zil/oDfndVt\nOou4NBM6/eNNZ4iFkD/E0d+/TN7Uklc+1r3tGGm56cz84PUUzS9nsO3V62qWLhrP9Pdfx/T3X0fF\nLVMoXlgBQO+uTmbcv5jh4/2E/CHCgRA9zx2nbMnEmD6nVGDb9PpfuuFoApYdgFuAT5gOIS6NFJ4E\n0OBpTgceA+Li/kghV8bcTVX3nBpKzz9sOou4uPQQM/IGQ+0X3zKxudwWU9+1gPT8jFc+duqlExRf\n45SY0sUTKJx1/jMQHesOMnZlFQCW27nyOC0vg7A3yImnjlC6ZAKuNPmWOZpsm5P+PUvaw/0lc0xn\nuQqfrfY0mVoUUVwG+d+bGBqAeFmLAgDbck/ZMunuzN6sMS+ZziIubu6+4VbTGaLNcrtwpb96lQZ/\nr5dTe7tp/f5ztDXuIjgUOOfnDh09RXphJun5mc4HbLBDYQKnfGDB4KE+3BluDv16D12bpeePBtum\n2/fijV0z166RAAAgAElEQVThgeJZprNcpTTgsWpPU3SvmhVXTQpPnGvwNN8K/LPpHOdkWeXbJrxx\nQmfu5OdMRxEXptp80VmvKQFkluUw/f3XkVWeS+fGtnNu073tGCXXjnvl76U3TKD1B89TNLeczo1t\njL2lis6WQ1TWzGK4vR9/n9xn92rYNl2+3Ut77MGimaazjJLJwCOmQ4gLk8ITxxo8zWXA/xLPXyfL\nyn+hYtW8tqK5m01HEedX1B+abYXtkOkcsZaWm0FeVREA+TNK8XYOnnO7wQO95FSe+QW9eP5YZvz9\nIvKnlxAOhMgZX4AdsrFcFukFmQR6pfBcKdum07f7plP2UOEM01lG2T3Vnqb7TYcQ5xe/P0gFwPeB\n+J9walkZraWLl7405kZZqydOWVA0sSOwx3SOWMufUUL/Xmd+/dCxfjLLXntxYeCUD1eG+5zzc9r/\ndoCKW6YCYIdsbNsm0OcjrSAzusGTlG3T7tt186A9VDDNdJYo+Z9qT9Ns0yHEuUnhiVMNnuYHgGrT\nOS6ZZVlHC2etfG787ettkLUO4tD81uGkvrJu6NgpWr//HD3b2+nacpjW7z9HycJxnNrbzd7vbuPU\nni7Klzv3U21r3EU44Ax4BQZ8pOWmv2Z/Awd7ySzNIT1SboqvGUvrI9vAZZFZnB27J5YkbNs65nth\nmc8ezp9iOksU5QA/q/Y0yQrncUjW4YlDDZ7m+cDTQEL+p8nx97YsOdR0gwv7tT9FhDG+NGv3t+rG\nzDWdQ6Qe27aO+HYus21fbqXpLDHycPNDNQ+YDiFeTUZ44kyDpzkb56agCVl2AIYyim5uqarbGbTS\n+01nEWdkBO3ZWd5wj+kcIrXYYeuQb+dyUqjsAHy42tNUYzqEeDUpPPHnv4FEXpMCAH9a9qKNU+qO\n+tzZXaazCIcFrtkHvLKMgIgZO2y1+XYuT7N9Oam4YuP3qj1NY02HEGdI4YkjDZ7mNwMfMp1jtIRd\n6bNaqu4ZHkgvPGg6i3DMOTAs57BFTNhh64Bv54pM258T/xdeREcp8DXTIcQZUnjiRIOnuYA4uHXE\naLMt16Stk96SdzJrrNzAMg6U9IZmIBP3RJTZYdc+746VubY/u8J0FsPqqj1NbzYdQjik8MSPz5MI\nl6BfCcsqe27CGyYfz5v6rOkoqc4F5eNOBF82nUMkLzvs2uvdsbKAQFa56Sxx4pvVnqYC0yGEFJ64\n0OBpXgL8g+kcUWVZuS+OXb7wQPE1m0xHSXXzWoeT/r5awgw75NLe7StLCGSe/6ZlqWcC8CXTIUSU\nL0tXSr0XmKe1/njUDpLgGjzNacA24BrTWWKl4lTrurmdm1aZznGlvOEQ3z12lKFwiIAdpqa0nHl5\nZ+7r+nz/KZq7u0izLJYUFHJbcSntfh/fO36ENCw+PHESee40hkIhHj56CE9lFS7Liln+4Qxrx3fe\nNmZBzA4oUoIdcu/x7lhZQTCj2HSWOGQDK5sfqtloOkgqkxEe8z5GCpUdgPaC6auenXDnehvCprNc\niZa+XioyMvjnSVP4h/GT+Gnn8VceC9s2P+k4xkcnTuZfJ01h+0A/PYEAG3pPUjemgmVFxTxz6hQA\nv+/u4k2lY2JadgCy/Pac9EBYlgwQo8YOuV/0bl81XsrOeVnAI9WeJlmi26C0GBxjilLqD0Al8P+A\nvcAXgABwGLgfWAv8P631BqVUNrAHmIZzl/DlgBv4htb6MaXUDwE/zgz49wE/BXJxVrj8iNb6aaXU\nu3BuuHkYOAE8iXNPqu8AU4F04N+11k8qpd4NPBDZ5w6t9Yej/Hq8osHTXAV8JlbHiyd92WNXbpl0\n95YbD//mOpcdTqhvAnluN4e9zr2UhsIh8txn/hsNhELkuN0UpDkfm5OTy4uDAwyFQhSmpeG3bQ4M\nD3Ei4Kcr4GdObl7M81uQrtp8z++ann1DzA8uko4dTNvl3bGyklC63C38whTw78CnTAdJVbEY4ZkJ\n1ACrcArM14AarfWtQAdwD/ArztxG4fXA48BNwGSt9QrgVuDTkTIE0KO1rgUqgO9qrW8BPgH8i1LK\nBXwReF1k38sjn/N24Hhk27cA/xP5+MeBWq31MuDZEceIhTU4RS0lDWcULN1UVbcn4ErvM53lciwp\nKKInGOBf973Mf7UdoL78zIUo+W433lCYDr+PoG2zZ2iQU6EgJenpdAb8tPt9lKVn0NTVye0lZfyo\n/Sg/bj/KQCgY0+cwZ9+wL6YHFEnJDqbt9G5fNVnKziV7sNrTlFIj+vEkFoVnk9Y6oLXuBvqBGcCv\nlFLrgFtwJnQ1A2+IbF8D/AKn8NwY2e7PkazjIts8HfmzA6hVSm3CmRRWCpQBp7TWHVrrQeCvkW1v\nAt4S2d8vgGylVAbwGPBrpdRHgT9orYdH/yV4rQZP872cec4pK+DOWripqr7Tm5Z7/OJbx4ctfb2U\npKXzX9Nm8uCkKn7SceyVxyzL4u/HT+T7x4/yjSOHGJOegQ0sLyzm8Z5uXhoapCQ9nWy3m5cGB7gh\nv5DF+YWsOxnbBZDLe4LJfD8jEQN2MH2Hd/uqqYTT8i++tYhIB75b7Wlymw6SimJxSuvsWdHHtdar\nzt5IKXVUKaVwiskHgbnA97TWXzxrO3BOPwF8FDiqtX6XUmox8BWcc6Uj54acPr4f+LzW+rGzDv1F\npdSjwNuAJ5VSKyLlLGoaPM1FnBlhSnlhV9qMzZNrj15/uHlfvv9k3N9Fee/wEPMip6ImZWXTGwwS\ntu1X5uKonFw+Mdm5w/YvOtspS0+nOD2dj1VWAfD1I228b9wEftHZwQ0F6djA06cCMX0ObpuJpSeD\nB7qL06T4iMtmBzKe9+5YqQi7U3aE+ipcD/wjzqr6IoZiMcKzVCnlVkqNwTl9E1ZKzQFQSn1EKXV6\neO/XOOc2t2itg8BWoFop5VJKZSmlvn6OfZcB+yLvvxXIALqBUqVUceT01KrI41txRo9QSpUrpb4Q\n2ffncUrYfwNbgMmj+/TP6UuALDk+gm25Jjxd+eaS7uzxL5jOcjHl6Rns9zoDgScCfrIs16smHv/3\n4YOcCgbxhcPsGOhnTs6ZeTrP959C5eSS506jIC2N7kCAnkCAorRY/O7xavNbhw/H/KAi4dn+jG3e\n7StnSdm5Kp+V207EXiwKz0vAz3FOLX0K+DvgB0qpjcAyQEe2+w1wL87pJrTWm4G/4ZSQDTiXbp/t\nx8DHlFKP4xSaCuBdwH8CG3EmND8LhIBGYEAptRnnFNpGrXUY5zTbFqXUX3FGg7aP5pM/W4OneRnO\nRG1xNssq3j7+9dOPFszYajrKhawqLuZEwM9/te3nO8eO8O6K8WzqPcm2fufqq5VFxTx0+CBfbNvP\nG0vHkB8pMyHbZmPfSW4tLgXg5sIifnWig1+f6OTmwthf3DLtsC835gcVCc32Zz7r3bFyLrY7lnMd\nk1E+8DnTIVJNVNfhMUUp9TbgSa11j1Lqz8B/RAqUUZE1d3aQBDcHjSrbDk0++cLm6T3PLb/4xuJK\n2eD9Zt0YgmlWluksIv6FfVlP+3YuX4DtTqirKuNYGLi2+aGanaaDpIpkXYcnB2c+TgvQGg9lJ+KD\nSNm5OMtyt5Vcs/yFilXrTEdJZhZkTTvi2206h4h/YV/2Vt/OFddK2RlVLuAh0yFSSVKO8MSjyM1B\nWwFZcv0y5HtPbLz+yO9vsrDlqoYoOFyevuFXryteYTqHiF9hb84W385l14Mr9hPNUkN180M1vzMd\nIhUk6whPPPoEUnYuW39W2fLNk2u3hSx3TJYLSDXjTgQqTWcQ8Ss8nLtZyk7Ufbna0ySvbwxI4YmB\nBk9zJc4l9OIKeNPzbthUVdfqd2WeNJ0l2aSFmVLYHzpiOoeIP+GhvBbfC8uWSNmJulnAatMhUoEU\nntj4PCATQ69C0J05f1NV3cnhtLyjprMkm7n7hg+YziDiS3gwf5Nv181LwZJTybHxmWpPU5HpEMlO\nCk+UNXiarwXeaTpHMrBd7qmbJ9/tPpVZutd0lmQys82bYTqDiB/hwYKNvt033QyW/HyInVLg30yH\nSHbyDzr6/gtn9WcxGixXxTMT7yrvyqmM6npJqaRgMDzbFbZju9SziEuh/qINvt1Ll4El37Ni74Fq\nT9N00yGSmRSeKGrwNK8EbjedI+lYVuHOcbfOPlw4a4vpKMnAgoLJx/wvms4hzAqdKl7v33PjCik7\nxmTgrMIvokQKT3R9wXSApGVZmS+XLVnyctn1601HSQbzWod7TWcQ5oT6Stf7X1qy0nQOwd3VnqZr\nTYdIVlJ4oqTB03wXzo1QRbRYlutw0dyV28fdJqXnKlV2+CtMZxBmhHrL1vn19VJ24ofM5YkSKTxR\n0OBptnCuzBIx0J1buXJr5Zs3hbGCprMkqrQQM3OHQp2mc4jYCp0sX+d/efEq0znEq7yl2tM033SI\nZCSFJzruBa656FZi1Axklixrqbpne9BKGzSdJRFZYM3Z75Wr31JIqKdivX/vdatM5xCvYQGfNh0i\nGUnhGWWR0Z3PmM6RivxpOYs3Talr87uzTpjOkohmHfTKZNUUETwxbp2/daGcxopfb6v2NM0yHSLZ\nSOEZfW8GlOkQqSrkypizqeqegcH0gkOmsySa4lOhWdh22HQOEV3BrgnrAvsXrDKdQ1yQC/iU6RDJ\nRgrP6HvQdIBUZ1vuqqcmvTW7N6t8j+ksicSCkokdAXnNkliwo3J94MD8VaZziEtyn6zLM7qk8Iyi\nBk/zUuBm0zkEYFljtk24c2JH7uTnTEdJJPNbh7tMZxDREWyfvD7QNldOYyUON/BJ0yGSiRSe0fVx\n0wHECJaVv6ti1fy2onktpqMkisnH/WWmM4jRZdvYgeNVGwKHZkvZSTzvqvY0VZkOkSyk8IySBk/z\nDOAtpnOIs1hWemvpopv2jFkqa/VcgoyAPTvTF5ZFCJOEbWMHj0/dFDw8a4XpLOKKpAGfMB0iWUjh\nGT0fQ17P+GRZ1rFCtfK58bevt8E2HSeeWeCeddAr83iSgG0TDh6d3hI8MnO56Sziqry32tNUaTpE\nMpAf0KOgwdM8Bniv6Rziwk7mjF/51KS3bAnj8pvOEs/m7PeGTGcQV8e2CQWPzNwSPDZ9meks4qpl\nAP9oOkQykMIzOh4AskyHEBc3lFF006aqe3YFrfR+01niVVlvUK4MSWC2TTB4WG0NHp8qF1Akj/dX\ne5qyTYdIdFJ4rlKDpzkb+LDpHOLSBdKyr9s4pe6Yz50tt1I4B5dNxdjugKy6nIBsm0CgbfYzwfYp\nch+/5FIM3Gc6RKKTwnP13geUmg4hLk/Yla5aqu7xDWQUHTCdJR7N3zt8zHQGcXlsm0Dg4NznQp2T\nl5rOIqJCfrG+SlJ4rkKDp9mFM1lZJCDbclVurawp6Mmu2G06S7yZctRXaDqDuHS2jT9wYN7zoa7K\nJaaziKi5rtrTJGX2KkjhuTp3A9NMhxBXwbJKnx9/x5Tj+dOeMR0lnmT77DnpgfCA6Rzi4mwbb2D/\nNTtDJybeYDqLiDoZ5bkKUniuzkdMBxCjwLJyXixfdu3+4gWbTEeJFxZkzDjke9F0DnFhts1wYN+C\n3aHu8YtNZxExcU+1p6ncdIhEJYXnCjV4mqcBsphXsrCstAOl1y7bNXa5LFAYMXef12s6gzg/22bI\n37rwpVDPuEWms4iYyQDuNx0iUUnhuXLvNR1AjL6O/Gkrn51w5wYbUv6u4WO7A1WmM4hzs20G/Huv\n2xs+WXGt6Swi5j5Y7Wlymw6RiKTwXIHIZOX3mM4hoqMve+yKLZPvfjpkuVN6hMNtM6mkL9hmOod4\nNdum3//yov3h3vIFprMIIyqBN5sOkYik8FyZ23D+0YkkNZxecOOmqjodcGX0mc5i0rzWYSk8ccS2\n6fPrxW3hvjHXmM4ijJLJy1dACs+VeZ/pACL6gu7MBZuq6jqH03KPm85iyvRDPlndNU7YNr3+l244\nGj5VNs90FmHcbdWeplmmQyQaKTyXqcHTXAS81XQOERthV9qMzZNr7f6Mkn2ms5iQNxye6w7ZPtM5\nUp1tc9K/Z0l7uL9kjuksIm6823SARCOF5/Ldi9w3K7VYrvFPV1aXdueM32k6SqxZkDP1iE8WZjTI\ntun2vXhjV3igWH6jFyO9o9rTZJkOkUik8Fw+OZ2ViiyraPu41888WjBzq+kosTZv37DcaNUQ26bL\nt3tpjz1YNNN0FhF3JgErTYdIJFJ4LkODp3kOIKuZpirLynppzNLFraWLNpiOEkvjOwMTTWdIRbZN\np2/3TafsocIZprOIuPUu0wESiRSeyyOjO6nOstxtxfNX7Ky4ZZ3pKLGSFmZawUBIbiYaQ7ZNu2/X\nzYP2UIHcukZcyNuqPU1yYcElksJziRo8zWlImxYRXXmTVz098a6NNlbIdJZYmLtvOCUnbZtg29Yx\n3wvLfPZw/hTTWUTcK0DW5LlkUngu3Z3AWNMhRPzozypb3jK5dlvIcg+bzhJtqs2bbjpDKrBt64hv\n57KQ7c2bbDqLSBj1pgMkCik8l04uARSv4UvPu2FTVX2r35XZYzpLNBUMhGdbYTtoOkcys8PWId/O\n5di+XFnUVFyOO6s9TQWmQyQCKTyXoMHTnAm8wXQOEZ+C7oz5m6bU9Q2l5R8xnSVaLCic1O7fYzpH\nsrLDVptv54p025cjE8TF5coCakyHSARSeC7NrUCe6RAiftmWe8qWyW9N78sse9l0lmiZ3zqc1KNY\npthh64Bv54pM2589znQWkbDktNYlSDMdIEHIpLBRFAj62LL9MfyBYULhIPNn3M74cvXK461tT9F6\n+Gksy0VxwTiun3c3/YMn2LLjZ7gsNysWv4fMjFz8gWE2bvsxty65H8uKg+5uucY+O/FNWfPb//Z8\n+eChpLuLdWV7oNx0hmRjh137vDtW5BPIktdWXI3bqz1Nxc0P1Zw0HSSexcFPiYRQbTpAMtl/+Bny\nc8t53dLVLF/0brbt/s0rjwVDfg4e287tN32YO25+gFMDnZw42Ubroa1cO/supk26gbbjOwDY3fok\nc6ffGh9l5zTLKnyh4pa5hwpnbzEdZbSlB+1Z2cPhE6ZzJAs77Nrr3bGyQMqOGAXpyGmti4qjnxTx\nqcHTvAiYYDpHMnFGZwYB8AeGyczIfeWxNHcGr1v6IVwuN8GQn0DQS1ZmPv7AMNmZ+WRnFuD3DzMw\n1MPAUDcVZXG4JptlZewtu+FGXXbDetNRRpMF1pz9w0l7yi6W7JBLe7evLCGQOcZ0FpE03mQ6QLyT\nwnNxcjprlFVNuJbB4V6anvwiT2z+JtfNee0A2u7WJ2l68otMGreA/NxScrMLGRjq5tRgF7k5xbzw\n8uPMmrqCrTt/wdadv8DnHzLwTC7AsqwjRXNWbh/3unU22KbjjJbZB72mIyQ8O+Te492xqpxgZqnp\nLCKpvL7a0yTTVC5ACs/FSeEZZQeObCM3u4iaWz/B65Z+iGd2/fo128ydfis1t36S412azp4DTJu0\nhD37N9BxopXcrCLS07PpOLGPyeMXMHn8Ava2xecZpO7ciau2VtZsDmMFTGcZDSV9oZnYdtIUuFiz\nQ+4XvdtXjSeYUWw6i0g6hcBNpkPEMyk8F9Dgaa4EFprOkWy6Th5k3BhnknJxwXiGvacI22EAfP4h\nOrqdRX3T3OmMGzOLrp6D5GQVcuuS+1mx+D3s2b+B+TNez8BQD7nZxeRkFTEwFL8XEA1mFt/cUnXP\njqCVNmA6y9WyoGx8V+Al0zkSkR1M2+XdvmoCofRC01lE0nqj6QDxTArPhclk5SjIzynlxMlDAAwM\n9ZCWloErMvE4bId4asdaAkEfAN29hyjIOzPN4XD7LsaWTiUzI4eszDwGh3sZ8vaSkxXf627503IW\nb5pSf8jnzuoyneVqzd873Gk6Q6Kxg2k7vdtXTZayI6LsTtMB4pklo9Pn1+Bp/hNwh+kcySYQ9PHU\njrV4fQOE7TAL1B0MDveSkZZF5bj57Dv8DC8fbMFluSkqGMcN82uxLItwOMSGbT9ixaL34HK56R88\nwebtjwEWN197H3k58T8lwrJDbUsONZEbOJWwtw7wZlgvfPttY+abzpEo7GD6Du/2ldMIp8laXiIW\nJjY/VHPUdIh4JIXnPBo8zfnACSDDdBaRZGy7a9HRP54o8nbONh3lStgQ/Nbbygb9GS4ZrbgIO5Dx\nvHfHSkXYnWM6i0gZ9zc/VPNd0yHikZzSOr87kLIjosGyxmybcGdlR17VNtNRroQFabMOeuU2Exdh\n+zO2ebevnCVlR8SYzOM5Dyk85yfzd0T0WFberrErrzlYNK/FdJQrMWe/NymuOosW25/5rHfHynnY\n7mzTWUTKeV21pynddIh4JIXn/G43HUAkOctK31e66KYXy29KuAUKx5wMTjOdIV6FfVlPe3esvAbb\nnWk6i0hJ+cDNpkPEIyk859DgaZ4JVJjOIVKAZVnHC2au3Db+jvWJtEChy2b8mJ7APtM54k3Yl73V\nt3PFtdguOR0uTJLTWucghefcVpoOIFJLb864lU9NeuuWMC6/6SyXan7r8BHTGeJJ2Juzxbdj+SJs\nl5xOEKa9wXSAeCSF59yk8IiYG8oovGnTlLrdQVf6KdNZLsXUI7580xniRXg4d7Nv57LrwSVL+4t4\nMK/a0yRXUZ5FCs+5rTAdQKSmgDvr2o1V9ce97pwO01kuJsdrz00L2nF2E7PYCw/ltfheWLZEyo6I\nIxawxHSIeCOF5ywNnuYpQKXpHCJ1hV1panPV2wIDGUUHTGe5EAsyZxzy7jadw6TwYP4m366bl4Ll\nNp1FiLPIfbXOIoXnLJkZPvlHIoyzLdfErZU1hT3Z43aZznIhc/d5h01nMCU8ULDRt/umm8GS76Mi\nHi01HSDeyErLZ9n2+IOP2DY1w97MA909RUMdHaXFJ3qKp4dC7lzT2UQKsu2hOZ2bdo/r33e96Sjn\nEnLR9o17yxP2NhlXKtRftMG/Z8lysCzTWYQ4jz6guPmhGvkhHyHnnF9rqWUxJifbNyZnQgeVEzqw\nbUKhkOul/v68zo6uEndHZ+nEgcHclPsmLwywrJwXy5ddN5Sev3Faz/blpuOczR1mcnFfsO1kYVrK\n/H8InSpe739piVzYIOJdITAXiOtR4liSwjPCtscfLATmnP1xy8KdlhaeVVx8alZx8SlmzTyIbdPt\n9Wbu6zlZOHy8o6zgRHfRjFBIbg4oosCy3AdLFi4fTi9YP69jQ9z9oJ27b7ht03X5KVF4Qn2l6/36\n+rj7GghxHkuRwvMKKTyvtgRndvtFWRal2dm+0gnZnUwY34ltEw6HXS/39+d2dHSVWB2dZRP6B3Kq\nZMhbjJaO/KkrvWl5GxYd/cMyK47m38045MvadF3yX6Ee6i1b53958SrTOYS4DEuBR0yHiBdSeF7t\niid5WRYutzs8s6iof2ZRUT9qRhu2zUmfL2Nfz8nCwfaOsryu7uIZwWBawWgGFqmlL7t8xebJtU/d\neOg3C912KMt0HoD8ofAcV8j2h91W0q4uHOopX+dvvW6V6RxCXCa5CGcEmbQ8wrbHH/wjUVyhMjIK\ntL9/IOd4Z1cJHZ1l40/1506VUSBxudJCvp03tf1yUnrYX2Q6C8Dvlhds31eZtdB0jmgIdlesC+xb\nuMp0DiGugA2UNT9U02M6SDyQEZ5Xi+o37Mgo0PSiwoHpRYUDzJx+CNumz+dPbz15srC/vaMsr/NE\n8YxgMF1WyBQXFHRnXrOpqq71xkO/Hs4ODo4znWdeq7dvX2VcDDiNquCJcesC+xesMp1DiCtk4Zy5\n+L3pIPFACk/EtscfLMPADUMti8KszMCicRUnGFdxAtvGDoetfQODOcc7u0rsjs6yir5TedNkrQ9x\ntrArbfrmybXHrz/yu9YCX890k1kmdPrHmzx+NAS7JqwLHJi/ynQOIa7SjUjhAaTwjDTfdAAAy8Jy\nu+1phQWD0woLBpkx7TC2zSm/P731ZG9Bf3tHWU7niZLpgUB6semsIg5YrnHPTKzuW3D8rzvKho4s\nMBUjPcSMvMFQ+0CuO+a/NERDsKNyfaBt7irTOYQYBdeYDhAvpPCcMc90gPOxLAoyMwPXVYztpmJs\nN7aNbdvWgYHBnKNdJ4rt9o6y8t6+/OmyvH2KsqzCHeNuU6rrqacmntI3mooxd99w69Zr8hK+8ATb\nJ68PHJotl56LZPGapVZSlUxajtj2+IPfAe43neNK2TYD/kB6a29vfm97Z1luZ1fJVL8/o9R0LhFD\nth2e1Lt704zuZ43c/PZkvnvLj6tLE3Y5e9vGDh6fsjF4RMnNg0UyCQF5zQ/VeE0HMU1GeM6Ii1Na\nV8qyyMvMCCwcW97D2HJnQn44bB0aHMw+3HWiJNTeWVre21cw3bYt+ZonK8tyHSqet2IovWD9gvYn\nYz5CUdQfmm2F7ZDtSryRRtvGDh6buil4dKaUHZFs3MBMYKfpIKbJCA+w7fEHLZz7jiT16mm2zVAg\nkPZyb19BX3tHaVZnV+lUnz9jjOlcYvTle7s3Lj7yu6Uu7JgW3F/fUrjr0LjMuD09fC62TTh4dPrm\n4LHpy0xnESJK7mt+qOZnpkOYJr/tOyaT5GUHwLLIycgILiwf00P5mB5gL+GwdXhwKPvQie7iUHtH\nadnJ3oIZtu1KN51VXJ3+rNLlm6ve9szStl/NdduhnFgdd16r98ShcZmxOtxVs21CwSMznwoenypl\nRyQzmceDFJ7TEvp01tVwuezK/Lyhyvy8IaZMPoptMxwIpu3p7cvv6egsze7sLK3y+jLHms4pLp8v\nLff6jVX1u2869KuKjJA3JvO5Jh33J8yIoW0TDB5WTwfbp9xsOosQUSaFByk8p6Vs4TmbZZGdkR68\nprzsJOVlJ2FOK+GwdXRoOKvtxIniQHtnaVnPycIZtu1K2tsIJJOQO2Pupqp7Dtx46DfDOYH+idE+\nXkbQnp3lDfd4s1wl0T7W1bBtAoG22c+GOifL0vsiFUjhQebwALDt8QcfA+41nSNR2DbeYNDd2ncq\nv1nnKSYAACAASURBVLu9ozSjo6u0yuvNMr7ar7gAO9yx+Mgfewt9XSrah9pwbd7m52fnxG2RsG38\ngYNznw91VS4xnUWIGAkAOc0P1QRNBzFJRngcs0wHSCSWRVZ6emheWWkvZaW9zGMfYZvjw0NZbSd6\nin3tHWUlPScLZ4bDrsSZzJHsLNfYZye+MXt++7rnygfbrovmoeYcGLafnx2zaUOXxbbxBQ7M2xE6\nMVHKjkgl6cAMYI/pICZJ4XFUmQ6Q6FwW43JzveNyc48zufI4to0/GHTv7juV193RVZrW0Vk6eXg4\ne4LpnCnNsgpeqFg1b0b3M5sn9b4YtRGYkt7QDGzbxoqvm+LaNt7A/mt2hbrH32A6ixAGzEEKT2rb\n9viD+UBc3HE6mVgWGenpobllpX2UlfYxd9Z+bJv24eGsgyd6inztHWXF3T2FM8Nhd/LdcTKeWVbG\n3tLrlw6lF6yf1fVUVNbqcUH5uBNBfXxMetRPn10q22Y4sG/Bi6GecYtNZxHCkDnAL02HMCnlCw8w\nyXSAVGFZVOTkeCsm5bQzaWI7tk0gFHK/2Hcqr6uzqyS9vbO0cmgop9J0zqRnWdbRwlkrh9Pz1y88\n9sQKy7mj8qia1zrcHi+Fx7YZ8rcu1OGTFYtMZxHCoKmmA5gmhcdZg0cYYFmkp6WF5pSW9FFa0sds\ndQDbpmvYm3mgu6doqL2jrLi7u2hGKOyOzwkhCa4nZ8LKrZPe0nLDoaYbXNijuvbSlKO+uBg1tW0G\n/Huv2xfuLb/2/7P35uFxnPed5/etqr7R3egDN4iTYAG8QIKkKFIUSUuy5DC2aUeyPeudncnhTMbj\nZDPZHeeJZ2czns3skSfhJOskziE7icfJJo5jxw5tx5FkSeBNkAAJkATYJO67D/R9d1W9+0cDFI5u\noAE02AD7/TyPHrHfqnrrVyTQ/e3fWWhbGIwCU11oAwoNEzzMw7OtIARlel2iTF/jxK4aJyiFJMvc\nQDBU4na5rfysy74rEtGzf7M8EVGXvnC14dPdJ8a+IwpUKsnXvtok3atOKsGkmjPla8/1QilCyUdH\nRpRAWcGmyDMY24iiz6FkgocJnm0NIRAEQWmzWoJtVksQrXtGQSk88bhmeM5njs067SbPnGWPLPOG\nQtu6U0kKuiNXGj8zcGLsu3aNHMtL40ACqPaMJXrut+gKUg1FKQJJx9EJJWg/WIj7MxjbkKL38BR9\nH57ut7741wA+W2g7GBuHUsiywg2GQgbnvBeoOhw2NBbarp0Gocr48fHvU0MqkJcw76xNuPyt16wv\n5mOv9UAp/MmHz00rIStrtsZgLEV/8cL5WKGNKBTMw8M8PDseQsALvCJaSkOipTQEsWUMlMIbT6iH\nvF5zZNZlN3s8lt2SLDzz89I2AyVc3Y26T3g6pn7cb4k7Ny0Wyr3SUxedlMKXHDjuVMIWJnYYjJVU\nAxgqtBGFggkeJnieSQiBVadNWmuq3aipdoNSKIrCPQ6F9bMut43MumzVoZChEdhevWIKDiH2npqP\n6PY5L92uDI9sqoSbo6i1+aSROYvwVIQPpZhL9D8/RyOlrJEog5GZGjDBU5x0v/VFHiyRqyggBBzP\nKy2l5nBLqTmMPbvHQCn8iYR60OszRWZd9hK3x7pbkgRzoW0tOIQYHlScPhRTGa80+vo2NUX8wGBs\n4v1jxi0XPJTCnXhwwk+j5j1bfS8GYwdT1J93RS14kHbv8YU2glEYCEGpVps8Wl3lQXWVB5SCKgoZ\nCocN0y6Plcw6bZXBUElzUXqBCBGGbR2nYipj517X1Q03KGyeSBjeP7a1kURK4Uo8OBmiUVPLlt6I\nwdj5FHXicrELnspCG8DYPhACwvO02WwON5vNYbQ0j6erfZKqQa/fHJ512gxuj3V3KqXaFj1mngYz\nppYzMZWxs2Pqxy8SgFvv9Ya4sk+QaFwSyJZ01KYUs4n7L8RozNi8FfszGM8YzMNTxBTNBxdjYxAC\ns0aTOlJV4UFVxbwXiJKRSFg/5fJY6azLVhEIGHcDZN1iYKfg11WeuV73M9efn/heB0eVdQ2EJYC2\neTLR7WjQ5r3LMaVkOnHvhRSNl7CKPAYjN5iHp4hhgoexLggB4QltNJkijSZTBLubJtIN7pKqQZ/f\nFHC6bAaX29acTKmshbY1n8TUphNXGj5998TYdxpVSmpdeU77BmMRR0N+HTyUkslE3ylKEwbWKZ3B\nyB3m4SlimOBhbBpCYNRoUocrK+ZQWTEHAFAUMhqO6KbcHqs867JV+P2m3QDZ0fliKV576ErDZx6d\nGP9uTCtFcw4HV3lSeZ2PRhUynrj3IkcTbO4ag7FOKgptQCFhgofB2AI4jjaYjNEGkzGK5sZJUIpI\nKiU8nvcC6ZxuW1MyqbYX2s71onDCnmv1b0wdm7g4bEz6chpGKChoNIekyYBRqN3s/alCxhJ9p9U0\nqava7F4MRhFS1L3ImOBhMJ4ChMCgVkuHKsq9qCj3AngMRSHjkahuwu2xyLNOe5k/YGqhlGz730lK\nuJquXR/3HZp+654tNnMgl2v2D8ZHrh4u2ZTgoQoZSfSd1tGkjhUbMBgbo6hH8Gz7N9cthgkeRsHg\nOFpnLInWGUuiaGqYAqWIplJCvz9g9M57gRoTCU15oe3MCCGWu9WvattcV7uqQ4PPrXX6nvG45urh\njc8mpQo3FO89bURKuz3/PhiMnUFRC56inqXF5mgxtjuKQiajUe24e86SmnXay3x+UwulnKrQdj2B\nUrnB13et2Xtn1ZlZFAj94b8o0yocWbftVOEex3vPlCKlyctgUwajyCnaeVrMw8NgbGM4jtaWlMRq\nS0piaKyfBqWIS5Lw0B8o8Tpddo3TZWuIJzSFC/EQwo9a21+MqkydB5ydWRsUEsBYP53sHanVtK9n\neypzjnjvGTskjW3zxjIYDKS9PEzwFCFM8DB2FIRAq1JJB8rsfpTZ/di/dxCKgulYTDfmmStNzjjt\nNq/PvIdSTv007XIZG8/cUpVcPjr5o5MENGM12v7BmH+kNvc2PlTmB+K9ZyohqS15M5TBYBgAeApt\nRCFggofB2OFwHKoNhli1wRBDfd0MKEVCkvj7gaBxzumyqZ0uW30srt3yhmNBbdmL1+pfv/n8+D8c\n5KmsW358lzOZsyeKynx//O7ZGsgqNtuMwcgvG0+m2+EUu+AxFdoABiPfEAKNSiXvt9v8sNv82Nc2\nBEoxE41pxzxzpQmn026d85lbFIXP+7iHuKrk+JWGT/edHPtOnUpJLvlCIcjYY4jKroieXzXxmErC\n/XjvmV1M7DAYW0LRJi5vSPCIoqgCcAXAQ4fD8a/za9JTZUvm+zAY2w1CUGXQx6sM+lnU75oFpUhK\nMt8fDJa4nS6byumy1Udjurx0YZV4zcErDZ8Zen78HyI6KfxkTwKQvcPxx7f2G7IKHioJffG7Zxuh\nCEXdL4TB2EKY4FknVQA0O1zsAMzDtWGu3JrED94ZBMcTfOpcKw7v/6CB5+2+GXzvnx9DEDic6KjB\na2caMeMK40/+6g4EnsO//9wxGA1qRGMp/N7XbuFLXzgBjiu+geSFhBCoVYK812YNwGYNYG/rMCiF\nKxbTjMx5S2MzTrtlzlu6R1H4FaGpXFA4vvla/c/MHJv84WNTYu7JFPPW0Ti5tT/z+y2VVL3xu2ea\noQhF63JnMJ4CRfv7tdEP/N8D0CyK4l8A4AE0AjgL4P8G8ML8vn/ocDi+KYri9wEsuKZPAahDOnfm\nDwFQACEAPzu/9g0AwwAOArjjcDg+t0H7coUJng0QiiTx3X9y4P/89TOIJyT8/Y8cTwSPolD85bfv\n4f/69TMoMajx2398A0cPVuK9a2P47Cf2wumO4uadabxyqgHff+sxzr/awsTONoEQlOv1iXK93old\ntU5QCkmWuYFgqMTtdNl4p8u2KxLV1+W+IVd1q/ajgfaZn/Tao5PtAGAJyq2gVAFZOmyVptR34r1n\nRCi8Ps+PxWAwllK0Hp6NTnj+XwE4AIwBUDscjheRFjr7HQ7HCwBeAvBlURSNDofjvMPhOAvg2wC+\n6nA4pgH8AYBfcjgcLwN4C8AX5vc9AuBLAI4BOCeK4lYnFTPBswHuP3Rjv1gGnVaAxazFL/4PH1Qa\nhyJJGHQqmIwacBzBftGO+w43ItEUSo1aWMwahCNJuL1RuOai2C+y1irbFUIgCILSZrUET7eJIy+c\nffF23blXL7lfOn2zq33/w86KMs9dnpcja2xi7q16uXXC3HodAAhgrXWmBhafQpPq7vjdM61M7DAY\nT4WiFTz5+MDvmv//UQCdAOBwOCKiKPYDaAHQI4riPgD/CsBCn47nALwpiiIAaADcml8fdDgcswAg\niuI00p4hfx5szAYTPBvA7Y0imZTxu396E5FoCq+fE58IF1OJGrGEhBlXGGU2PfofzaGtxQabRQen\nJ4JZdwRlNj2+80MHfupDTfja3/aCAPjMx9pQYniqldSMDUAIynS6RFltjQu1NS5QClmWOUcobHDO\ne4FqwhFDw7KLNI/sx4/HVMbOPZ5bZw4MxjyTlel/a5rU3I73nj4Ayuder85gMDbDRh0dO558fOAn\n5/9PASyOTagBKKIoagH8OYCfdzgc8fljUQAfcjgcT9o8i6LYAEBatvdWxzp29PTqgkGBUDSJ/+Vz\nx+DxxvBf/+AavvJfXgEhBIQQfP5fHsaf/fVd6HUqlNn0AAU+dLIef/rXd6DVCPjImSbo9Sr0P/Lg\nxOFqUADvXBnFJ17bU+gnY6wTQsALgiJaSkOipTSE1j2joBTeeEI95PWWRmZdNrPHY9ktyYJxonTf\nmZjK2Nk6854VAJSEtivRd/oQnnLPIAajyFn+OVs05NPDcQvAfwLw/4iiWAKgGcBjAL8D4BsOh+PB\nonN7AXwEwD+JovgvALgBDOXRllxhySMbwGTSYE+jFTzPoaLMAK1GQDCchNmY/pLe1mLHf/61UwCA\nv/3HfthteljMWvzGvzsBAPhvb3bh33z2EP7m+/040VEDhVJc754q2PMw8gshsOq0SWtNtQs11S5Q\nCkVRuMehkGHW6bbyE5MnJ1W+KU9w8NQpbKcxGQxGcVC0gidvri2Hw3EFQLcoipcAvA3gN5AOSX0e\nwKdFUXx//r9TAH4VwH8URbET6YTlO/myY50U7yCxTXCwtQwPHrmhKBShSBKJhATjonDUb3/1BgKh\nBOIJCT33ndgv2p8cu903g7bdNpQY1DCbNPD4YvD6YrCYWYeAZxUJfHyKVMTuGUXlTm2r3GfXhEom\nWz1M7DAYBUEutAGFotiHh8oo4njmZvjJlVG8d30cAPDJj+xBOJKEXqfCsfYqdN2dxj/8+BFAgJ9+\naTdOHasFAMiygt/72i38+88dg8BzmHWH8cffvAMC4N/9qw6U24s2l+6ZQaFEcsI2OKbUuCZpJfHD\nVCGBbwYIH50Od0V9vcGPuV3hx6WW8ENv/YsSFeoLbTODUWR85uKF839XaCMKQbELHgksj4fB2BCU\ngnpROjJGq2cmlCppDqW2JFS7AbLEXSfHpVlvj2sUJaPklbmbsbLy9tgPNLak6PQmbsZ3f7pQ9jMY\nRcrrFy+c/26hjSgErEqJwWDkRJAapsZp9cQ4rY67qNUch6YJIE0AmjKdTylVQoOBK9Hx0CHePsnZ\n7X3lzT2aqHRAdiacVWqT/Egy6qpuhmKG40/5URiMYqZoQ1rFLnhkMA8Pg7GCGNXMTdDKkTFaE56l\ndn0E+kaA1ADIafxEKph87O1xJahMT/P2yS5V4/1Dn/qer2/Q+lJkn2lGywU0kp8EtPv1weHrUV0H\nCMvnYTCeEkWbtFzsgieCdPk8g1G0JKkQnqblg2O0JjBNK9RBGHZRcLUAbOvdi8pKzH9v7mZiLn4K\ngLAgdo71R27pY/T4XHWNl9NM+3idELxfVZH8+JCTG7Np354OWM7l/8kYDEYGmOApUsIALIU2gsF4\nWsiUSzphHxxVajyTtIILwFQlg2sEyKHN7h1zRrsDD+bKQHEWAHj71C1V4/1D+rgSPNkbaZsxtvRo\nNMlGiRMMgo5XwrOVgip01d/UVONx+RPTEtFUb/oBGQzGWrCQVpESKrQBDMZWQSkUDyzDY7RmdkKp\nUrww21MQdgNkbz7vIydlj7fH5ZAj0gsLa7xt+raq8d5BQqD+1Du+xwQ4MWJth93mH01CZeG1QqkS\nsJseNnF9uyaCxvoqenVotvxT+bSLwWBkhHl4ipRwoQ1gMPKFnxon0knFVSk3tZYmoG4GyG4Au7fq\nnqHhwOXISHA/0rP0AMyLnaa+A4RAs28o1mUJyScSvM4VFwwdZWUTVxJUreM0fB0UQTVQV6I71jdg\n9O95/vG0M3QnRo2Ht8pWBoMBgAmeooV5eBg7kgjVuSZo1egYrY46qb0kCm0jQHYB2PU07p8KJ0e8\nPe4ATSkvLl7nrR+IHXVSCb7UFdoFAEO2wwMg5IylNKibQXmScEQNwJeKlwYkzSNBN6qUNtWFHf2j\nhoOUcKyQgMHYOhKFNqBQFLvgYR4exrYnQVWBKVoxNEprgjO0XBuGvp6CqwJQ/rRtoQpNBh7MXYu7\nYicANC4+xltnulXNffsJgQYAPvmev5ejeBEAZo3NdQCg1STq4tCMAQA4eGVvpfZO6yTZOzCohtgS\nntZ4f+JL2l99uk/FYBQVc4U2oFAUu+BhHh7GtkKiXHyGlj8eo9XeKVohBGCsVsA1AKSj0LbFPbFe\nf5/HuJCUvJi02OndRwi0ANA0mbhbMSedAoA5ffU9SvgDanXSw3GoSijqIQAgPBeSfeW7Bw5qDS91\nDcZnhvbTmrrEWPhx3JMiWvvyezAYjLzgLbQBhaLYBQ/z8DAKhkKJ5IZ1aEypdk3QKvhgLp8fw3Cg\n0LYtRknJfu8d9z0plDqFDAN3Octsj6q5d++C2BEkGjt3JWAh8+cOWY/4AcBu848CsMepRgEATsVF\n5ajGJnP8sM/EzximZ6W2NoPBY/Bfno1WfvKpPSAj77j7f4iYdwSUKrDu/hA0xgo4+74DAFAZylBx\n4JNYHrlcfo2x6gB8w1cQmumFzlKPsr0fBQAEJ3sgJUKwNp956s/1DCADCBTaiEJR7IKHeXgYTwVK\nQX0wjY3TmulxWpXyUIt1fgyDCEAstH3ZiIwFr4UGAy0AXsx0nLPM9qh3320jBLqFtZ++HOjiFZwB\nAIkI4ZDGehgAyu3eMAAkoFYAgNfwKTkqgUZLpu60RtRnbnfvv/vwY1NljZIjct9/P0RK92/5AzLy\nTtQziERoFnWnfhlyMoKxS/8vNOZqWHd/CIbyVsw9egehmT6Yag6veo2x6gBCM72oe+ELmLzxJhQp\nCRCCwMRt1B7/+QI+4Y7Ge/HC+aKdJ1Xsgod5eBhbQojqZ8dp9Wh6DIPNFIOmGSANABoKaliOSNHU\nhLfb5VSSysls53CW2TvLxU61KzlQP5M8tfB63LL/Lgg5BQCW0qAWABJQEwDgtQIFEpB9FdzDxkD7\ny12hFHHHPYf3BUv8Fs1AyGfeB0JWeJQY2xudrQnVpXUAAE6lgyInkYp4oC1N59Pry/YgMHZ9ieDJ\ndA2lyhMvEK82QJFiCE72oLThBAhX7B9dG6Zo83cAJniYh4exaeJU7ZuglUPpMQxl+gj09RSkEkBl\noW1bL1ShUvCh70psJvIcVqn44kqdd9S774qLxQ5RqPSJ9/wcWTSuZcLcZl74s1ab2AUASaSnSPA6\nXgUAsreyXt71WOs18T2i+3rNw/6XqV2EI3lr6l0nal/O/1MythJCOBAh3cA+MN4FQ3krqCIh4noI\nU+0RRN2PICXCa15DCJd2jSoypEQQAIeYbxQacw1me/8OGmMVLE0ZHY+M7DDBU8T4Cm0AY2eRokIk\nPYah2j9NK1RBlNQo4OoBHC20bZsl4Y0/8PV6BCj07GrncaWuu+qWOyIh0C9ef/VG8KpKxpPEipDa\nMizxmgMAoFalvBxHawAgSVUcAPA6QQsANGGopRQzd1r1/Ctdvua4j+85ph7R/bDS4lPPJPxJTlOa\n50dlPAXCsw8QnLiFmuOfgyIl4Lr3XQQmbkNvawKQOaqy+BoAMNefwMT1P4Wxuh3ewXdha/kwPA//\nCTXHfwHO3m8jFfNDpWM/HuuACZ4iZrrQBjC2LzIlKRfsg2NKtXuSVhIfTJUy+CaAtBfatnyiSErI\nd9fdkwokXwTArXYuV+rqVbf0tCwXO3afNCyOJp5fvDZoOzqO+UnqNptvBIAVAFJQCQDA64SShXNp\n3DDysJF2vNwVCjXPdcvDDw7W1u0TUpxnonNC3n0+Lw/KeGpEXA7MPX4Xtcd/AbxKB16lQ81zP//k\nmBQPrnkNAJhqDsFUcwjJsBve4Ay0pbWgVAYhHAStGRITPOuFCZ4iZqrQBjC2B5RCmUPpyDitnhlX\nquQ5WBbGMLQBaCu0fVtFdDJ8I+jw1QNYs+SFM7t61S09uwmBYckBSunr7/jCBOn+OwCggEheffW+\nhdfldu+T8HEK6VAWr+GfzLGT/WUSVxXRek18d1Vw8MRD/4mJ4+SebriqMWYa9zmCnGXbJnYzliKn\nYnAP/BC1z/8b8Oq0LvY43oK2dBdKKtoQnLwNY03HmtcsZu7xO7C3pufLUkUGpRSpmB+C1rT1D/Rs\nUbQl6QATPEzwFCkBWjI5Qasmxmh10k1t5nh6DEMzgOZC2/Y0kGPSzFyPa1yJy8+vfTbAmd196j09\nzSvEDoAXe8KXtSl6evHajGl3Nwg5vvDaYkknLAOADF4NAJyGtwFQAHCyt7JSVTWKu6164eWuEFcd\nfDz68H5T5b5DkEbcznvBBBM8O4XQdC/kZAQz3X/1ZM0mfhju/h9h7tHb0FkbUVKR/g4x0/PXqGj/\ndMZrKg9/BiqdBdG5EagNdqh06XQwU81hTFz9I6iN5VDprU/34XY+Re3hIZQWbYUaAKD7rS9GAKz8\nSsF4ZohSjWeCVo2M0ZqIk9oNEegaAVKUje0opUrokf9ydDLcAcCYyzVpsdPdRAhKlh8zheWpn/3H\nOTPB0mNX6t/oSqhKnlt4/VMfvjzJcbQWAL4mfcohQRABYPYnEx4AdoAq2mP/HBIUqvnCt9wpiVMp\nlxo/K5w63d37jenDPv2jceMkX79EVDEYjHXzSxcvnP+zQhtRKIrdwwOkvTwthTaCkR+SVAhN0YrB\nMVoTmKblmhAMuyi4WgBFKXAWkwwkHL47bpnKNOeObZzJc0+9p7sxk9gBgE+97ZshQM3itTivdyYE\nw5GF1ypVyrcgdgBAAffE2wOO+KBQO0A4pDSPZHXimNfEd9uCqRfMcfel/vu77Sc6/NK92YRbFUpF\nUpxqhYeJwWDkTFF7eJjgYYJnxyJTLjFLywZHabVnilbyARirZHCNAGETtxdBZSXq65u7lfTGX8A6\nfuc5k+eeWrzdQEhmT9DRB5GrJTHlheXrw+lBoWcXXtus/hEAT/J1FJAnooUTSFBJpr3McsAWEcqm\nF8JaEN3Xa7q0H286K3V1ddW/WFLf3/3eIPZ9NFf7GQzGCiYLbUAhYYKH5fHsCBRKZA8sw2NK9ewE\nraI+mMvmk4r3rX118RKbidwODHgrQddOSl4MZ/LcV4u367OJHX1Mdp/sjWRM5p41NtUvfl1e5l1e\nkvMkhMypuLiSVAAAsrfKKpRNY6BR2/5SVyhkTPqa1XK8+969PSVnj4zSzlmz0+wOjAR4cyMYDMZG\nGC20AYWECR5Wmr4t8VHj2Ditnhqn1SkPtVgS6aTiFjBvXE7ICdnt7XE9lqNS1k7J2eBMcw/U4u06\nQpC1BOaNd/yPCbBib4++po8S/uDiNWtp4En1FqVQAPKB4NEIEiISAEAJ2lopRVzmidZn4nusQflk\n81y3MiCc2nco5bh9reElo83f2RNQjjDBw2CsnzgAV6GNKCRM8DAPT8EJU51zglaNjdGamJPaSmLQ\nNgGkHkD9mhczlkAppeHhwJXIaOgAMgiSteCMcw/U4q3a1cTOvqFYlyUkZ9x7yNaxosGKTpd4kuOT\nhCoMfLA3r100QJJyasiqXgip9juinn/5VghVocEjD8tPjPXe26N5peO+5btlYrxuavT6uNBwYr3P\nxmAUOWPFPEcLYIIHYILnqZKgqsAkrRwapTWhWVqmDUNfR8FVAagotG07nVQoOeTtcUWoRDfUb58z\nevvVrbdqCYE52znqpBJ4qSuUceSERFShsNq6JH9KEFIBjqN1C6+TUEWxWPDoBNXi85WQxcdbXBho\n0ra/dCsUIoCxOvh4dIq0njmUctyxNx3Qq72PZvlEbVzmBC0YDEaujBXagNUQRfE2gDccDsfoVt2D\nCR4meLYMifKxaVo2OEZrvFO0QvhgDAPpWPtqRq5QhSb89+euJ9yxkwDUG9kjLXa6alYTOwDwyff8\nfRzNPDl9LD0odMkxmzUwDOCJCEpCFVt8XNAtFS2yt7KEt7iwLKx1aMokRvoe7OFePXy74r9XHk2K\noz3v9uPQuXU/KINRvIwW2oBCwwQPMFRoA54FFEokF2wLYxjgg7lcAt8MkAOFtu1ZJu6K3vHfnysF\nxdmN7sGVeAdyETtNk4m7FXPSqWzHJ81tluVr5WXewOLXCaiXCB5eJyxJipb9ZS2UQiEE3B1Rz718\nKwSVkjKb4+5LLnf56faUo7euUa8N+NRBky80GVQZa8FgMHJheKs2FkXxZwF8BGnvbS2A3wPwHwH8\nCOm8oW8A+HOkv5ApAH7B4XCMiKL4FQAnADjmj0EUxb8E8PcOh+MHoih+FGmvz8+KovjrAN6Yv/5L\nDofjPVEUvwDgs/Nr33M4HBdWs7PoBc+RV3/H1f3WF+cA2Apty06BUlAvzKPjtHp6XKmS5mCxJqHa\nDZBWAK2Ftq8YUJKy13vH3S+FU1kFSC5wJb4BdVtX1VpiR5Bo7NyVgIUAJNPxkNoyJPHq/cvXrZbA\nEo9TgqqTS+6v5ZeKJFllhsI7wMviQJP20Eu3QmEClIju6zVduz5O+x7soa8dur7r62XHR/eESVQ2\nEAAAIABJREFUf3L7Dk4wwcNg5MbgFu+/D2lvbimAXgAygH9yOBw/FkXxzwF83eFwfEsUxTcAfFkU\nxd9GOs/wOaR7eWW1TxTFFqTFzvNIz+f7DVEUR+fXFt4Dr4qi+G2HwzGebZ+iFzzzDOCDvzTGMoLU\nMD1Bq8bHaHXcRW2mODTNAGkEwKplCkB4NHg1PBRoxSZ/ZrkS30N1280qQrDm9MWfvhy4ySvZvUiD\n9qOTyDCWQ6+LL2lKmIBmqeBRcVYAEha9FylRk5M3+sT5sNY1a1A+OV+i3uN02TsOSo/6mhoUbsRb\nq6lzjd8a19QdW/tpGYyi5/EW79/pcDgkAB5RFH1IC5Ou+WNHAXxp/s/vAfhNAHsB3HQ4HAqACVEU\nV/NAHV507iCAz4mi+Bmkq3bfmz/HCKABABM8a8AEzzwxqvFO0srhMVoTnqF2QwT6BoBUA6gutG3F\njhRJjXm7XXNKamWzv/UyL3YqchE71a7kQP1MMmsitAKS8uqq9y5fFwQpSMgHCcsAEIdaWvyaEMIB\ncGNR0rrsrVDxRh8AYCGsBQDNc93SQMUp3O/fLb168Nqer9W8PGILX5yclGoPKYRbkvzMYDCWQLH1\nHh5u0Z/J/D0XvuBQfOAdXghrkfn/L79+cSXZwu+1vGx/zO/9Q4fD8Uu5GsgET5qBQhtQCJJUCM/Q\n8qFRWuOfpuXqEEpqFXC7ALCJfNsIqtBUYMB7NT4bfR55KNUnBr9jXuysyLlZDqfQ1Cfe8/ME4LOd\nM21q6Vk8KHQBm8U/TAgOLV5LULW8wh6O+KhCFwmeyibUPwQALA5rVYUGjz4sPzE2M1vecWDv4/t7\nqoPJ3tn2kgMzve/2ag6/ttazMBhFzMzFC+ejW3yPE6Io8kh3VTdi6RiLWwA+BOBvAJwBcBvpvJ1f\nE0WRAKjDBxGDIICq+T8vOCK6AfzvoigKSKef/AmAXwXw26Io6gHEAPw+gN9wOBxL8gQXwwRPmmde\n8MiUSzphGxxTajyTtJLzw1Qpg2sCSHuhbWNkJzEXv+fr82ih0LP52I8Y/A7N3htluYgdAPjwjeBV\nlbx6QvSopT1jXk/ZsoRlAIhDoyxfIwIJ0+SiL3UpbQVVyDjhaJ3ME63PyF+zhuSTBOCqg49Hp8yt\n9fcHdsdfPnD90EjTuZFodGCiJByZDQuGylyeicEoQrY6nAWkq8C+DWA3gP8NwG8tOvabAL4uiuIv\nIu2Z+QWHwzEliuI9ANcBPAJwd/7cbwL4a1EUX19Yczgco6IofhPAJaQ9Q//R4XCMi6L4+/NrMtJJ\ny1nFDsAEzwL9hTYgn1AKxQPLyBitnplQqhQvSu3zYxhWhB0Y2xMlpQR8d929qWDyRWRJFF4vxOB/\nNC92cvLg2X3SsDiaWLXBX1zQzyYE/ZFMx2yWwIowUyJD1Tyn5p+Ml1iAxkvGiT5UBwB3W3XcS7fC\nAID5EvXw9EzF0QN7B/vbSmeDNwzHDEfCl2/ewOnzuTwXg1GEPI0v9UMOh+M/LHr9zYU/OByOaQA/\ntfyCLOGoUQBihnMvALiwbO2rAL6aq4FM8KSZABABsCMnMftpycQ4rZ4cp9VJN7WaE1DvBkgzMiSR\nMrY/kYnQjdAjfyOA0/nakxgCjzV7b9hyFTugVHn9HV+EAJrVThuydjhASEbPil4fr1q+lsTKVBte\nw8tSOLVkTfaVU06fzt0ZaNS1f+hWOEyAknSJuutSQFdx+sHD5sjpfbeOOcTzI8Mp28Qu11TvhLaG\neSwZjJXcKbQB2wEmeAAcefV3aPdbX3wIIOM31e1EhGrdE7RqZIxWR53UXhKFrhEguwBk7H7L2DlI\nMWnK2+2aUhLy8/ncl+gDjzV7r1sIyb31wume8GVtiq45cNRpbMyYUyTwUogQ2rB8PUnVyxMPweuE\nFR4s2VtZq6pJt8iSBKJbCGsBgOi+UdO16+N0cqry2L7WwYHD+uG5Tm2HpkP7w5FJWrWfEi5rvhGD\nUaT0bOXmDofjL7dy/3zBBM8HDGCbCZ4EVQWnaMXQGK0JzNAybQiGOgquGkBZoW1j5A9KqRx0+K7E\npiJHke5HkTeIPjCo2XfdQgjsuV5jCstThxyxNX8XPPraFYNCF7BaA8OEYIW3JQkhk+BZ8T5EY8ZG\nSuEmJP2zvjistVCinhR0Hf2O5tBze3tP9LW9PtSTbMOhmXvv39G1v5zDYzIYxYIE4F6hjdgOMMHz\nAQXN45EoF59Nj2GYm6QVQgDGagVcA0AOr3kxY8eS9CcGfHfdhMpre1PWy7zYMa9H7ADAp972zZAc\nhFemQaELlNu9/kzrEoQVMS1ex+sznUsTuiGijZUBT8JaETIfdm6e65YHKk5hYrLy2N7WoUfH1fe9\nb5e2Coj+o08fjXmigm5dz8xgPMP0X7xwPlFoI7YDTPB8wFMTPAolshuWoTGlxjVBq6gP5rL5MQwr\nOtUynk0USYn4+zy3k77EKaxS8r1RiD44NC921uUNPPogcrUktnafn/SgUEvWmWhWayDje4sEfkXW\nMq9dOl5iASVgT3DaifR1AtH5jfy1hSntC1PUKeHrHzoafe1tD0/catr/sNd7lDsV7LpxSTjz0bWe\ngcEoElj+zjxM8HxA91Zt7KOmsTFaPTVOq1MearHMj2HYA2DPVt2TsX2JTke6gg+9NaDIu1cHWBA7\n10zrFTv6mOw+2Rtpy+XcTINCl+yli61IWAYAOZPg0fAZc4tkb1WZUDHx5PVdUcd96HY6rLW4RH1s\novp4mzgydIa/HfnhroPacdrP1bhmH0zpKvfl8iwMxjPOlubv7CSY4JnnyKu/M9n91henscmOwiGq\nn52gVWNjtDrmojZjDNpmgNQjDw3jGDsbOS45vT3uYTkmrVrqvRmILjis2XfNuF6xAwBvvOMfJOlB\nfmsyYW7LWu3F81KY41YmLAOADE63fI1T86VI9+ZYIoaUkEWkFGFCUAIA/U269rO3l4S1Dk2ZxDAI\nKXn4uMG1r3X45NXKjt7x0SPms6q3h6boR/aCkLyU9DMYOxgmeOZhgmcptwDk3MsjTtX+SVo5NEZr\nQjO0TBeBrp6CqwTAGqAxnkAppaHBwOXoeKgdOQqKjUB0oRHN/mslhKB8vdfuG4p1WUJyTrYFNdZB\nmVdn9Z5YLcFhQpAxmZmCaLNc5sGKLxuEh6R+BFWyA1gZ1lpcoj46VvN8a8vI0CvcNe57e0+WdQ81\nxg+PPbh0x7h/S7xoDMYOgeKDhn5FDxM8S8kqeFKUj87Q8sFRWuObpuWqIEpqFfB12GaVXYztRSqY\nfOy944pTieatp04m0mLnqn4jYkedVAIvdYVybmswaDs6hXQ31YyU272+bMcoSMZeV4QnfirTFd5V\nOWgNCrbZJ68Xh7UAQHTfqO3a9XEKQrhHgw3ONnHkpMUkdY2m9gmG0h8ENMmWQILXrDoJnsF4hnl8\n8cL58NqnFQdM8CylCwBkSlKu9BgG9yStJD6YKmXwTQDJ+K2VwVgOlWncf99zI+GJvwBk6LaXR+bF\njo6QDwZwrodPvuvv4yiy5uMsRgFJ+XRVq+bGWK3+1d5XSjItEoELU3nFmC3Ic1XmxYJneVjLmPQ1\nLZSoD4/WHhdbRkde4y9b/u7gy7XXHxwaPzNx49q7xjMrOrwyGEUCS1heBBM8ixhRarveU47fS0LV\nApA2ADklcDIy4x/sx8Bf/j70lbUAAEPVLux+/eeeHJ++8hact6+AcByMuxrR/Ml/jahrBo/+5o9B\neAF7f+7XoDIYIcWi6P+L38OBf/slEG5FG5dtR9wZ7fE/mLOBrj6DKh8QbXh0XuxsKIzaNJm4W+GV\nTq19Zppp055uELJqY0SDPpbRlhTlowDJWILOqbmkklgpeJSgXaQUKULSonE+rHV9cfhtoUQdIPzj\nobppsWXshTJt5GpI3SS5qgbkSo/n8azW3pLrMzIYzxAsf2cR2//T4ynyxkd+NZCEmkf2PAPGOjE3\nt6H9l38T7b/8m0vEjhSPYuLdizj0K/8Zh/7nLyMyO4Xg6GPM3ngXjR/7H1F5/Czcd28AACbe+T52\nvXJ+24sdOSnPeW7MXPXfn+sA3fokdaINj2kOXNFsVOwIEo2duxKwkHXM6hq1Hly1hJ7n5CjH0cZM\nx5JQZZ3WzGuElWoHABReD1l4tHjprqhbYm9VaPAoofIYAAyN1D2vKGTsNf5yvanNcvCBfKy2g950\nrGYzg/EMc7vQBmwntvcnSGG4VmgDigGOF8AJAuRkHFSWoaSSEPQlkGIRqE2lUJtKIUUjiHvdiM05\nYdmzvVsUhUcCV9yXp4kUkdbsYZMP5sWOmhBkLP/OhY9eDnTxSu7CLC7oZxO8PmvvHQCwWAJDhGR+\nX0lCFcl2Ha/LrqOUiNmz+HV/k66dpmffAQAIQGoCj0YBgFLCDw7vmjCTcG2NMHdPX1ET6tlVrjoU\nHLi6mt0MxjNIEulJ5Ix5mOBZCRM8eSTqnML9r/0O7n7ly/A5+p6scyo16l57HV3/9Vdx87d+Bcb6\nZujLq6AptSHmcSLmnoXWWoaxH/89as+ew6O/+xoe/93XkIpsr/y7VDg14rw0dSc8HDwF5DiYc5MQ\nbWRcc+CqajNip8aV7K+bSeYcygKAIeuRhyBkVQ9PeZnXm+1YAup4tmO8Tsg6pFT2Vi4pZZ8Pa/Ut\nXmvy9hwCpWEAGByuf15RyOSH+attJU3Gg87g4cryksd+lZLaXj88DMbWcuPihfOxQhuxnWCCZyXs\nm2Ce0NkrUffa69j3C/8B4mc/j0d/+2dQJAnAfEjr7e/h2Jf+G577T19BaGwI4akxVD7/IUx1/hD+\nxw+gKbVB0Onhf9yPssPPw37oecxce6fAT5WGKjTpvz/3/tzN2WqaUp7a+I+02LkiELKyoilXOIWm\nzr/nF8g6OjxTgDqNDRlDVYuxWQNZ90xQddb29rxOWNGfZwHZV7GbUtDFa3f3LD19vkS9BwAoJcLw\naO2InsTLmripu6aWculyZVvJmeAN9rvNKCbeLbQB2w0meJbx5rmORwBm1zyRsSaaUivKD58AIQQ6\newXUplIkAmkHQNQ5Da2tAqoSEzhBgLlJRHhyGBqzFQd+6UvY+3O/hsnOH6Lu1dcR97qgtZRBa7Eh\n7nUV+KmAhCfW5+ycnIg7o2cBZPVM5BuiiUxoDlzhNyN2AODD14PXVPL6unx79Lt6KeHXDH8Z9LGs\nlWIJqJPZjvFaIXvpuKS2gnLDi5f6m5eGtYB0iToopQDwaLD+eUXB1Fnu5mFdpb4h4d+jD1cGZXvC\nN7LWMzAYzwjvFdqA7QYTPJn5SaENeBZwdl/BxHs/AAAkg34kQwFozOmoj9ZqR9Q1BTmZ/gwMTQxD\nZ/8gQuO5dxvm5jaoDCVQGc1I+DyI++egNlme/oPMo6SUgKfLednX6zkABc1P895EE5nUHLxCCKGb\nmqZu90nD4lhi1SqrTAzZOrLm3yzAcXKM45SmbMcT0KSyHeO1mcdLLECjxunFryWB6JeHtdIl6rF5\nLw+nGhmrHdaQlGkvGbxvaS8v7dIcqzqVuDqw1nMwGM8AMQA3Cm3EdoMJnsy8XWgDngVs+44gMDiA\nu1/5Mh58/XfR8sbPw9VzFZ6+W1AbS1H7oY+i76u/hbtf+TJKahpgbm4FAFBZxuzN91B96lUAQOWx\nMxj90bcw9qNvo+K5wjTOjYyHrrkuTSWlUPJFrKOqKR8QTXRB7NRuaiNKldff8UXIOr1SEqcKRtSl\na4btLKXBIUKyh8niVC1lO8YJnBHpN+mMyL6KFe9Vy8NaANA816Ms/NnxuOG4QjHzAtfzvNokGDil\nJtLXZCAHgo/YBwHjWefqxQvns3pUixXWhycz2yNRZIcjaHXY/4tfzHq8+uQrqD75yop1wvPY/7kP\nrtOVVeLQr/4fW2LjWkjR1KS32zWrJJWThbg/0USnNAcvY7OeHQA43RO+ok2tv+PzqOVA72qDQhdY\nLWEZABLQ0NWOg2AOFBlFneytrFftWlKdjv5mXfvZ7nCUAE96+1SFBo8uTFGnlFOPjdc8bqyfOt1B\nHgx3HWxrGbn9XPBj6rcG+5WmuMwJrP0E41mFhbMywDw8GXjzXMcUAOb6LmKoQqXAgPd9z/VZq5JU\njhbCBqKJTmkOXFY27dkBYArLU4ccsVVLyrMxaW7NqfrMZvWv+n6SgFpZ7TjhiD/bMZrQ11JKVoS1\nAiV875I90iXqYwuvHz5qeI5SOI9wD06otSSsMdunLzXVqV7y37yy+tMwGDsalrCcASZ4ssO8PEVK\n0hfvd3ZODcWmI2exyHvwNCHq6LTmwGWZcDTnGVer8am3fTMky1iH1QhqbI9lLvug0MWUGGKrzvFK\nLB2GvgKi4rI2JgQAGtePLl+7K2YIay0qUVcUXjs2UfWQI5Q/yfV4zHutx/zO9ia5zC2VJoOTqxrE\nYOxMQmANBzPCBE92WB5PkaFISmiu29Xp7XG3QqFioewg6tiM5uDlFOFoXT72O3Y/crUktjEv1aDt\n6PTaZwEcJ8dXS1gGgCRVrfp+w6v5rGXrACD7y1bkAD1IV2stEUqCkjItlKgDwICj6TlK4d7HDR5X\n8/KIoc46fblsv+GV0OUHq92PwdihXL544XzWfLlihgme7LwPgP3QFAnRqfBNV+dUOOVPnEEBfy/S\nYudSknA0L6Mp9DHZfaIvsncj1yrgkj5dZU4tri2loSFCVs8JTGJ1wcNp+czjJeaRvVUrGi1mCmsB\nS0vUFYXXTUxW9gPAS9z1ZEmj6WTKtbvMsZuQ1tBo92r3ZDB2ICx/JwtM8GThzXMdIQA3C20HY2uR\n49KM++r0zeBD33Fg452L80G+xQ4AvPGOf5AAG6rlnzLv6QEhq5aLL1Bm986tdU4KwqpT4wWtsGoj\nRBox7aYUK/J8MoW1FpeoA0C/o/kopfA0clOH9SR+17zXFnkgP1d1kHZ7OKpkLZdnMHYgrK1KFpjg\nWR0W1npGoZQqwUe+TvfVGYMcl48X2h6ijs1qDl5K5FPs7BuM3Vw8VXy9jFoO5lzFabf61yzVl8Cv\nuh+vW10QAYTQpPbR8tVMYS0A2D3X/SRJWpZ5w+R0xX0AeJW/qtNV6DoQL09c2lvGvTTXxRKYGc8K\n4xcvnL9TaCO2K0zwrM4/FtoARv5JBhKPXJ1TA9GJ8BkApkLbMy92YoSjDfnaU51UAi/dCm1YPMUE\nw0yS1+Vc1WUwRFdNWAYAGfyq/X94nbBmUrUStK3o1ZMtrFUZGnoyRR0AHgw0H6UU3iribjMjfMPS\nXlbqdB1t1ZVOpoypCOuuzngW+IdCG7CdYYJnFd4813EHwGih7WDkByorUe9d9/ve264mKtOcKo+2\nHFXcOS921pxTtR4++a6/j6Oo3Oj1Q7YOBwjJ6f2B45QEz6+esAwAMrhV+97wWj77eImFPeaqMpbI\nZwprLS9Rl2WhZHqm/B4AvMZfrlSZVA28pnT0J03N/E/5Ou+tdW8GYwfABM8qMMGzNuwH6BkgNhu5\n7eycmkvOxc9iuzTcVMVd2vbOaL7FTtNE4k6FV1rXJPTFUIC6ShrXFDALlJqDQ4RgjXAUoKwteNbM\nF1JCVpFSrJi6ni2stbhEHQDuD+w+TCn8VhJoLIP3uqXdLkYnDxycbEiS5sjkCi8Rg7GDcAG4XGgj\ntjNM8KzNdwttAGPjyAnZ7b4+cy3wwHsUFHnpaZMXVHG3tv1SON9iR5Bo7NyVgJVsYvyFx1DXSwmX\nc0l8md3nyeU8CmJY7TjhOT2A8GrngHJqSCrH8uVsYa3lJeqSJJhmZu29APAqf2U3r+GM2jJjf5ep\nXXcydsNFqLJqpRiDsY35x4sXzq/a3LPYYYJnba4BcBbaCMb6oJTS0FDgsvvKtEqOSgUZC5GVtNgJ\nkjX61myEj14OdPEUm0p8HrIeXnNQ6GLsNl+u4mpVwQMgPV5iDZSwxZdpvTfDbC1gaYk6ANzrbzlE\nKQJGEq3aRWa6zG3WY9JsY9OVg0b+7Fw3S2Bm7FRYNGINmOBZgzfPdSgAvl9oOxi5kwolh12Xpvsi\no8EXAZQW2p4lqBILYifv09ZrXMn+upnkhkNZAJDiVIGIunRdIyhKDFH7WufIlEsCZPVWywAIT4Jr\n7jVXmTG5+X6z7iDNMIB0eYm6JKnMsy77XQB4mbveTniSKmk0DY2FjlWW6UZSeimWk8eKwdhGBMGm\nA6wJEzy5wcJaOwCq0ISvz/P+XJezlkpKe6HtWYEq4da2dwa2QuxwCk2df88vEGSfVp4LY5aDvSAk\ns6skA4QoSZ5f+3mSUOXkNeJU/Jrnyf5ykVKsCD1JKmLIFNYClpaoA8C9By3tlCKkJcnSFjJ619Bo\nOqlEbPxb+6u5j7k7WS4PY6fxQzYdfW2Y4MmNdwEECm0EIztxd+yu8/3J6YQ7dhZYY2hTIRASHm17\np59wyu6t2P7D14PXVDL2bHafSXPrmt6axZSaQ0OErP33nbPgUXNrv2krghEK/zjTod49uowT2ZeX\nqKdSqlKX29oDAKe5W8c4Ak/pXmskMHVkr7c2jF2x2f5c7GUwtgksnJUDTPDkwJvnOlIAflBoOxgr\nUZKyz3Nz9oq/z3MIFHlNAM4bQmJO297pI5zSshXb232pIXEs8fxm90kPClWtawxFmd2bU/gnCdWK\nyqpM8Foho2BZjhIxZcyryxbWWl6iDgB998UDlCKsIrL+IHn4UFuh7yCkZLJzVwv3Yf+V2cV5PwzG\nNiYO4EeFNmInwARP7nyr0AYwlhIeDV51XZ6WpXBqU3krW0pa7HgJvzViB5Qqr7/jjxJg1aZ+ufA4\nx0Ghi7Hb/DmJggRV5yZ4dHxO70myrzLj864W1lpeop5Mqaxuj+U2ADzH9Z7goIxZ2u2W5Nj+Y10H\ntfwpby9LYGbsBN66eOH8ugoNihUmeHLnxwDchTaCAUiR1Ljr8lR3eCjwAoB1hWCeKkLSq23vnNsy\nsQPgdE/4ijZFD2x2HwVc0q+rXPc+xpK1E5YBIA71qpPQF+B1Qk7CTfZWZK1w692jy1iau7xEHQB6\n74v7KUWUJ1T1HNc7pTKqm1VG3Z0B7oC6mThSGjnBQtmM7c7fF9qAnQITPDkyH9b6/wptRzFDFSr5\n++fe99yYLVOSypFC27MqQtKrbX/fTXhl03k12TCH5MlDjti6KqqyMWUWu0FIxi7G2SBESfG8nFMC\ndgIaKZfzchkvAQBIacupQsYyHbqfbkK4IqwFrCxRTybVds9c6S0AaCcPTwiQHKUH7a2ys37/Px+1\nCuddnWyaOmM7EwTwnUIbsVNggmd9fKPQBhQrCW/8vrNzaiQ+Ez0LIOcqooIgJH3a9k434RVxK2/z\nqbd9swTITSCswajlwLoTvc2m8DAhuYXSElDnNJGc1wprjpdYgMZKJjKtrxbWWl6iDgC998U2ShEj\nBOQ0dyvEa/gybYW+2+U6Wpa0+1EZ92RMkGYwtgHfunjh/IoO44zMMMGzDuZna7GZO08RRVKCc7ed\nl3x33Huh0C0LDeWNtNhxEl7eUrFz7H7kqiGuHM3HXjGhZDrJ6w6v97ryMq8r13PjVJNTB1hew+cc\nopT95Vnzh7KFtYCVJeqJhKbc6zN3AcAebvSoBolec5vluBK2lL6zr4b7mOf9mVxtYjCeMl8vtAE7\nCSZ41s9/L7QBxUJ0MnTD1TkVTQWSp7ETflb5pF/b3jlLeLl1K2+jj8nuE32RdVVTrcaQreNxroNC\nF2O3+XKuYkpAnZPgIRzRIMcWEPJcVdZRIauFtZaXqAPA3b7W1oUZXa9w1zjCc7qSJtNweOTIvntt\nPH3O9+BaLjYxGE+RBxcvnL9ZaCN2Etv/Q2T78VfAyqZnjPwhxaRp15XprqDD/zyw8YnfTxU+6dce\n6pwhvNy21bd64x3/IAEs+dgrPSi0YUMjLkpKomsO+1wgsZ7WSATeXE6j8ZIGSjMXEkgqYggauIxh\nrUwl6vGEpsLnN3UBwC5u9kAJIl2GBtMJIuu83fbdtD1xT1IpqdXnfDEYT5c/L7QBOw0meNbJm+c6\nZgG8VWg7nkUopXLQ4ev0XJsxKQn5uULbkzN8KqA91Dn9NMTOvsHYTUtIPpGv/dyGuruUcOseqkoI\nlYQcE5YBIEFVOb/XEIFbc7zEAjShG8p2rFfUZ/VALS9RB4C7fa0tlCIJAK/xly2EAOZ91mhqdO+J\nd54zqT7uvHQrV7sYjC0mBeCbhTZip8EEz8Zgyct5JulPPHR1Tj2KTobPIE+JuE8FPhXQHnp/ivBy\n3kJM2VAnlcBLt0KbGgy6nCFbR8awz1qYTKFhQqDN9fwUVDlPb+dUXM49RZRAWdZy93tZmhACmUvU\nY3FtlT9gvAkAZcTXYkXgurZcf5hTq/vGY/uJ1uBGWcI3kqttDMYWcvHihfOsTco6YYJnY3wfQMaJ\nzYz1oUhKxNvj6vR2u1qoTNf0kChyEtPdf4WJa3+M8St/gLBz6QSAVMyP8atfxdjlP4CzL12tmQy7\nMX71jzBx7U8gJ9OfpXIqhskbfwZKc0otyUxa7Ew+DbEDAD/zrr+Po/kL8aU4dSCqMm+orL3c7ss5\nYRkAUlAJuZ7LqfmcStgBQJ6rrMh2bLWwFgC0uq/vWt5N+W5fayOlSAHAa/zleoAmLe12q+yuO/qj\nY2XqT7jenczVNgZjC2HhrA3ABM8GePNcRxzAXxTajp1ObCZyy3Vpypf0Jc4gx6GXEWc/tOZa7Dr5\neVR1/Eu4+5dO/HD3/wCWptOof/FXAMIhFfMhMN6FsrafhrnuGEIzfQAA7+B7sO7+0EZyddPwqaC2\nvXOS8PK+jW2wPpomEnfKvVJeO0qPpgeF5uylWYzd5luXUkyBV+V6Lq/lc95bCVtaKEUo2/HePfqs\ne5Uk/Y3LS9SjMV1tIFhyAwDMJFxbBfcNlVHdrDKpr/snj5SNNipKe+BRV672MRhbwDTSjXAZ64QJ\nno3zxwDYrJ0NICdkl/vazPVAv/cYKGrXc62x+hCsu88CAKS4H4L2g7YtlCqIeUdQUpnufFG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y002zmJpLWma1EHgKYr9vH6RzXhzBWk4zIAmNbb1gIkGOpaHz21Uet/d/+fZDNCmWTgAfxjtoNY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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbb67777a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "temp_series = order_products_prior_df['department'].value_counts()\n",
    "labels = (np.array(temp_series.index))\n",
    "sizes = (np.array((temp_series / temp_series.sum())*100))\n",
    "plt.pie(sizes, labels=labels, \n",
    "        autopct='%1.1f%%', startangle=300)\n",
    "plt.title(\"Departments distribution\", fontsize=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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kVnEyfKeeBmcwqA1UFeEtm+wNiHJmWrjYUriOICPVXnQJHH4/AECNx9D/0guW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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbb7248e438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped_df = order_products_prior_df.groupby([\"department\"])[\"reordered\"].aggregate(\"mean\").reset_index()\n",
    "\n",
    "plt.figure(figsize=(12,8))\n",
    "sns.pointplot(grouped_df['department'].values, grouped_df['reordered'].values, alpha=0.8, color=color[2])\n",
    "plt.ylabel('Reorder ratio', fontsize=12)\n",
    "plt.xlabel('Department', fontsize=12)\n",
    "plt.title(\"Department wise reorder ratio\", fontsize=15)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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+wMsd5/HO4Td4ouUMXuw4F71Bf3mdaSHuJBKohRBCiLuARqMhOC6YNw6+wbPt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gUCcxEKaoHgNjTMscysyEAqlrJhxFb6+w6k3/oe1OpreSniVfr49GPq/mepqqvC0sLK3CELBE2C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glU4zcTf7/0TLUGpEW+tAqhurOZt3GiOpETm12fwUv560qjSulF6ml1NfAq3b89GFeXS1D0Yi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GU4rx2fxPudP0IiSOhs3YWLuWE86fYUH3f9jEURjUVoDzKvs2muNQ016GjooKshJ6Ygmifs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\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GsOeWmmmlUpnygOxqMIWFlY+PflkjxcnJisLCyge+H41ewwtHpqDSqljSfwVO5k58evYj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\nzWjj0ZbW7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YwRi8YqqSSRgqp82nm2Z03ib6yMX8bRR04xZstI7v1tCE5aJ2b3m4OD1rHR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ZNfYWDmiUNpzJjsZD7Xnz9Zqtr8Mdm5oy5HuqdjGt0+vYmbSd1OJkguxOsCd5F6+1eZM3j7xK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JUXsST+O0orSjlw8gAlFSUcOLkff9fmvB83l2UJP7B47DLKjeXkFJ+s/pl+tf9z1qas4SZ1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\nSEHdcPIFtx3Jf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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbb67586860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped_df = order_products_prior_df.groupby([\"department_id\", \"aisle\"])[\"reordered\"].aggregate(\"mean\").reset_index()\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12,20))\n",
    "ax.scatter(grouped_df.reordered.values, grouped_df.department_id.values)\n",
    "for i, txt in enumerate(grouped_df.aisle.values):\n",
    "    ax.annotate(txt, (grouped_df.reordered.values[i], grouped_df.department_id.values[i]), rotation=45, ha='center', va='center', color='green')\n",
    "plt.xlabel('Reorder Ratio')\n",
    "plt.ylabel('department_id')\n",
    "plt.title(\"Reorder ratio of different aisles\", fontsize=15)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/aayush/Programs/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: DeprecationWarning: \n",
      ".ix is deprecated. Please use\n",
      ".loc for label based indexing or\n",
      ".iloc for positional indexing\n",
      "\n",
      "See the documentation here:\n",
      "http://pandas.pydata.org/pandas-docs/stable/indexing.html#deprecate_ix\n",
      "  \n",
      "/home/aayush/Programs/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py:179: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self._setitem_with_indexer(indexer, value)\n"
     ]
    },
    {
     "data": {
      "image/png": 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HD1hYTwLrr7qStX/4XWYjkWDnL3yZqgULSxtKkiRpEspVWDsUZBJoetmplM+a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\nCIIgCGng/wNRKpVo5ByEvQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbb67625a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "order_products_prior_df[\"add_to_cart_order_mod\"] = order_products_prior_df[\"add_to_cart_order\"].copy()\n",
    "order_products_prior_df[\"add_to_cart_order_mod\"].ix[order_products_prior_df[\"add_to_cart_order_mod\"]>70] = 70\n",
    "grouped_df = order_products_prior_df.groupby([\"add_to_cart_order_mod\"])[\"reordered\"].aggregate(\"mean\").reset_index()\n",
    "\n",
    "plt.figure(figsize=(12,8))\n",
    "sns.pointplot(grouped_df['add_to_cart_order_mod'].values, grouped_df['reordered'].values, alpha=0.8, color=color[2])\n",
    "plt.ylabel('Reorder ratio', fontsize=12)\n",
    "plt.xlabel('Add to cart order', fontsize=12)\n",
    "plt.title(\"Add to cart order - Reorder ratio\", fontsize=15)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VQB/wYGbeXbswSZIkaSToZIQbYGdgD2D1zNy7PLnk2sx8ol5pkiRJ0opvkXO4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\nJUmSpIr+P7+j19rhYcXjAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbb67614240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "order_products_train_df = pd.merge(order_products_train_df, orders_df, on='order_id', how='left')\n",
    "grouped_df = order_products_train_df.groupby([\"order_dow\"])[\"reordered\"].aggregate(\"mean\").reset_index()\n",
    "\n",
    "plt.figure(figsize=(12,8))\n",
    "sns.barplot(grouped_df['order_dow'].values, grouped_df['reordered'].values, alpha=0.8, color=color[3])\n",
    "plt.ylabel('Reorder ratio', fontsize=12)\n",
    "plt.xlabel('Day of week', fontsize=12)\n",
    "plt.title(\"Reorder ratio across day of week\", fontsize=15)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.ylim(0.5, 0.7)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VQB/wYGbeXbswSZIkaSToZIQbYGdgD2D1zNy7PLnk2sx8ol5pkiRJ0opvkXO4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\nJUmSpIr+P7+j19rhYcXjAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbb676539e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.barplot(grouped_df['order_dow'].values, grouped_df['reordered'].values, alpha=0.8, color=color[3])\n",
    "plt.ylabel('Reorder ratio', fontsize=12)\n",
    "plt.xlabel('Day of week', fontsize=12)\n",
    "plt.title(\"Reorder ratio across day of week\", fontsize=15)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.ylim(0.5, 0.7)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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WB+4r9/8M3J2Zt2fmAuAa4GUty04Gpg48yMxrMvPm8vBi4OW1Gi1JkiR1Qy8C91XAzgBl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\nAEWCGwAAigQ3AAAUCW4AACi6AGJwvtLPjNiFAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbb67631668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped_df = order_products_train_df.groupby([\"order_hour_of_day\"])[\"reordered\"].aggregate(\"mean\").reset_index()\n",
    "\n",
    "plt.figure(figsize=(12,8))\n",
    "sns.barplot(grouped_df['order_hour_of_day'].values, grouped_df['reordered'].values, alpha=0.8, color=color[4])\n",
    "plt.ylabel('Reorder ratio', fontsize=12)\n",
    "plt.xlabel('Hour of day', fontsize=12)\n",
    "plt.title(\"Reorder ratio across hour of day\", fontsize=15)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.ylim(0.5, 0.7)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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u+yVIkiSNczVUWudSVB77TAXm9T3IzLP67kfEbyguJjMHmJmZS4HbI2IhMAV4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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbb6742d7b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped_df = order_products_train_df.groupby([\"order_dow\", \"order_hour_of_day\"])[\"reordered\"].aggregate(\"mean\").reset_index()\n",
    "grouped_df = grouped_df.pivot('order_dow', 'order_hour_of_day', 'reordered')\n",
    "\n",
    "plt.figure(figsize=(12,6))\n",
    "sns.heatmap(grouped_df)\n",
    "plt.title(\"Reorder ratio of Day of week Vs Hour of day\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "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": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}