Data Description and Overview.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "869aff47",
   "metadata": {},
   "source": [
    "# Dataset Description and Overview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "24c1d4c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Import relevant libraries\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "pd.set_option('max_columns', 150)\n",
    "\n",
    "import gc\n",
    "import os\n",
    "\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "#import utility functions from script\n",
    "from utils import *\n",
    "\n",
    "#configure plots from matplotlib\n",
    "matplotlib.rcParams['figure.dpi'] = 180 #resolution\n",
    "matplotlib.rcParams['figure.figsize'] = (8,6) #figure size\n",
    "\n",
    "#set seaborn style for plots\n",
    "sns.set_style('darkgrid')\n",
    "\n",
    "color = sns.color_palette()\n",
    "\n",
    "#Data file directory\n",
    "root = 'C:/Users/ALEXANDER/Documents/Machine Learning/Instacart/Data/'\n",
    "\n",
    "##Ignore Warning\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9485d2e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['aisles',\n",
       " 'departments',\n",
       " 'orders',\n",
       " 'order_products__prior',\n",
       " 'order_products__train',\n",
       " 'products']"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Check files in data directory\n",
    "os.listdir(root)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ad46b3e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Read datasets\n",
    "aisles = read(root,path='aisles')\n",
    "departments = read(root,path='departments')\n",
    "orders = read(root,path='orders')\n",
    "order_products_prior = read(root,path='order_products__prior')\n",
    "order_products_train = read(root,path='order_products__train')\n",
    "products = read(root,path=\"products\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cfa466a9",
   "metadata": {},
   "source": [
    "## Aisles  Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "83e22dc2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aisles.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c359b309",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of Unique aisles in data: 134\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array(['prepared soups salads', 'specialty cheeses',\n",
       "       'energy granola bars', 'instant foods',\n",
       "       'marinades meat preparation', 'other', 'packaged meat',\n",
       "       'bakery desserts', 'pasta sauce', 'kitchen supplies',\n",
       "       'cold flu allergy', 'fresh pasta', 'prepared meals',\n",
       "       'tofu meat alternatives', 'packaged seafood', 'fresh herbs',\n",
       "       'baking ingredients', 'bulk dried fruits vegetables',\n",
       "       'oils vinegars', 'oral hygiene', 'packaged cheese', 'hair care',\n",
       "       'popcorn jerky', 'fresh fruits', 'soap', 'coffee', 'beers coolers',\n",
       "       'red wines', 'honeys syrups nectars', 'latino foods',\n",
       "       'refrigerated', 'packaged produce', 'kosher foods',\n",
       "       'frozen meat seafood', 'poultry counter', 'butter',\n",
       "       'ice cream ice', 'frozen meals', 'seafood counter',\n",
       "       'dog food care', 'cat food care', 'frozen vegan vegetarian',\n",
       "       'buns rolls', 'eye ear care', 'candy chocolate', 'mint gum',\n",
       "       'vitamins supplements', 'breakfast bars pastries',\n",
       "       'packaged poultry', 'fruit vegetable snacks',\n",
       "       'preserved dips spreads', 'frozen breakfast', 'cream',\n",
       "       'paper goods', 'shave needs', 'diapers wipes', 'granola',\n",
       "       'frozen breads doughs', 'canned meals beans', 'trash bags liners',\n",
       "       'cookies cakes', 'white wines', 'grains rice dried goods',\n",
       "       'energy sports drinks', 'protein meal replacements', 'asian foods',\n",
       "       'fresh dips tapenades', 'bulk grains rice dried goods',\n",
       "       'soup broth bouillon', 'digestion',\n",
       "       'refrigerated pudding desserts', 'condiments', 'facial care',\n",
       "       'dish detergents', 'laundry', 'indian foods', 'soft drinks',\n",
       "       'crackers', 'frozen pizza', 'deodorants',\n",
       "       'canned jarred vegetables', 'baby accessories', 'fresh vegetables',\n",
       "       'milk', 'food storage', 'eggs', 'more household', 'spreads',\n",
       "       'salad dressing toppings', 'cocoa drink mixes', 'soy lactosefree',\n",
       "       'baby food formula', 'breakfast bakery', 'tea',\n",
       "       'canned meat seafood', 'lunch meat', 'baking supplies decor',\n",
       "       'juice nectars', 'canned fruit applesauce', 'missing',\n",
       "       'air fresheners candles', 'baby bath body care',\n",
       "       'ice cream toppings', 'spices seasonings',\n",
       "       'doughs gelatins bake mixes', 'hot dogs bacon sausage',\n",
       "       'chips pretzels', 'other creams cheeses', 'skin care',\n",
       "       'pickled goods olives', 'plates bowls cups flatware', 'bread',\n",
       "       'frozen juice', 'cleaning products',\n",
       "       'water seltzer sparkling water', 'frozen produce',\n",
       "       'nuts seeds dried fruit', 'first aid', 'frozen dessert', 'yogurt',\n",
       "       'cereal', 'meat counter', 'packaged vegetables fruits', 'spirits',\n",
       "       'trail mix snack mix', 'feminine care', 'body lotions soap',\n",
       "       'tortillas flat bread', 'frozen appetizers sides',\n",
       "       'hot cereal pancake mixes', 'dry pasta', 'beauty',\n",
       "       'muscles joints pain relief', 'specialty wines champagnes'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(f\"Number of Unique aisles in data: {aisles.aisle.nunique()}\")\n",
    "aisles['aisle'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df214a27",
   "metadata": {},
   "source": [
    "## Departments Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9f548ec1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "departments.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "69dd8665",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of Unique Departments in data: department_id    21\n",
      "department       21\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array(['frozen', 'other', 'bakery', 'produce', 'alcohol', 'international',\n",
       "       'beverages', 'pets', 'dry goods pasta', 'bulk', 'personal care',\n",
       "       'meat seafood', 'pantry', 'breakfast', 'canned goods',\n",
       "       'dairy eggs', 'household', 'babies', 'snacks', 'deli', 'missing'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(f\"Number of Unique Departments in data: {departments.nunique()}\")\n",
    "departments['department'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce24b522",
   "metadata": {},
   "source": [
    "## Orders Data\n",
    "This dataset contains all the orders made by different customers. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9db1bc3b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "\n",
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       "</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.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "fae831ae",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 3421083 entries, 0 to 3421082\n",
      "Data columns (total 7 columns):\n",
      " #   Column                  Dtype  \n",
      "---  ------                  -----  \n",
      " 0   order_id                int64  \n",
      " 1   user_id                 int64  \n",
      " 2   eval_set                object \n",
      " 3   order_number            int64  \n",
      " 4   order_dow               int64  \n",
      " 5   order_hour_of_day       int64  \n",
      " 6   days_since_prior_order  float64\n",
      "dtypes: float64(1), int64(5), object(1)\n",
      "memory usage: 182.7+ MB\n"
     ]
    }
   ],
   "source": [
    "orders.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "0d91fc75",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3421083, 206209)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "orders['order_id'].nunique(), orders['user_id'].nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fda321a9",
   "metadata": {},
   "source": [
    "- From, the analysis above. We can infer that there were 3421083 orders made by 206209 customers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "6f427c96",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Get number of orders made by customers.\n",
    "order_number = orders.groupby('user_id')['order_number'].max()\n",
    "order_number = order_number.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "0fca9f16",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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j6du3r0qVKqU9e/aocePG+vDDD7VixQrt27dPJ06cUGhoqMLCwnTy5EkFBQVZBta99NJL+v3331WsWDG9++671r4MQxo8eLAKFSqkXbt26cCBA9YuJ1fq0aOHHB0dtXbtWr366quaN29ehr/TFitWTPPmzZObm5tu3LihXr166cSJE9lcsXH17NlTdnZ2Wrx4sTp27Kj169c/8Pi7d+9qy5Yt6tq1q7777js5ODiwdGgWe/nll/Xjjz+qQYMG2rdvn9q0aaMVK1ZYuyybYzKz0DMMLCgoSMOHD9fFixdVvnx5nT59mqmcs1CjRo104cIFy9/TWxKgW7dulmk4U9a23bp1q6KiopQnTx6tXbtWXl5e2VWyoU2ePFkBAQEymUwqU6aMGjduLG9vb9nb22vChAmKiYmRn5+f/Pz8FB8fryNHjuj8+fMym81q0KCB5syZY+1LMIwnmUb+4sWLioqK0rVr1xgJkkmuX7+uV155RRcvXkzzPtW8eXP5+flp2rRp8vDwUOfOnVWuXDlduXJFgYGBOnLkiJydnbV+/XqmVc0EFy5cUJs2bXTr1i3L9NqVKlWSg4ODTpw4oWXLlikqKkrFihXTpk2blD9/fu3bt09fffWVZQmfRYsWqVatWta9EIMZP368lixZorp162ry5MkPHLn5d7Gxserbt6/++OMPde3aVR999FHWFpqLBAUFqUePHjKZTFq5ciWzvFnJqFGjtGrVKrVt29YS3stIVFSU2rdvr0uXLqlQoUKaOnWqZs2apQMHDlhuLuDJDBo0SD/99FOqzxcPa+zYsVq6dKlat26tL774IosqzN02b96szz77TDdu3FCtWrU0duxYyxroLLGUtfz8/JQ3b149//zz8vHxkbe3t3x9fZUvXz61bt1ajRs31tSpU9Ocl5ycrJEjR2rt2rVq2bKlJk+ebIXqjWfLli0aMGCAChQooGnTpqlu3bqS7n8f0q5dO125ckULFy7U008/neq8Y8eOqW/fvrp8+bJGjx7N9OiZ4GHfe+Lj47V3715t375df/zxh0JDQy2DjkwmE/+OZ5JPPvlEK1asUI0aNTRlyhS5u7srKipKH374oYKCgpQ3b15Vq1ZN8+bNSxPImDRpkhYtWqS2bdtq4sSJVroCYxk6dKg2btyoxo0ba/r06XJwcEi1PyEhQd26ddOff/6p9957T3379rXsW7dunYYNG6YaNWpoyZIl2V26oURHR2vgwIHav3//Qy21m/LeVL16dU2cOJHvqbLQwYMHFRoaKh8fH1WqVMna5eRKmzdv1rBhwxQfHy+TyaTx48frlVdeyfD406dP65133rHMbsW/4Zln1apV+vTTT5WQkKBmzZpp+vTpGR57+PBhtW/fXmazWSaTSWPGjEmzvCKyzurVqzV+/HjdunVLtWvX1t69e/ks/v8RkIHh3bp1S+PHj9eqVaskiRd/FouLi9OJEydS/Tl9+rRl9ovOnTtr5MiRku7/Ev/MM88oKSlJTk5Omjx5spo2bWrN8g0nMDBQX3zxhW7cuPGvH6xS/jl4/fXXNWrUKOXJkyc7SswVuAlgey5cuKDhw4crKCjIsq1x48aWGwFdunTRkSNHUr1uzGazHB0dNXXqVDVp0iTbazaqffv26f3339fNmzfTvE+ZzWY99dRTmjdvnuWmweLFizVx4kQ5ODho+PDh6tixozXKNrTr16/r9ddfV0REhPLly6fGjRurevXqKl26tNzc3JQnTx6ZTCbdu3dP169fV0REhA4ePKgtW7YoNjZWHh4eWrt27UMHa/BwZsyYoVmzZsnf31/Lly+3djm50tmzZ9W2bVslJCSoYsWKat68uRo3bqzy5cune3xISIi6du2qmJgY2dvbK0+ePLpz5w5fymWSY8eO6Y033lBycrKqVaum9u3bq02bNhkef/fuXe3atUvLli1TcHCw7O3tFRgYKD8/v2ysOneJjo7WqFGjtHPnTuXPn18ffvih2rdvz+/GWeyZZ55RYmKi5e8pv1+l3GBOSkrS+++/rz59+lj+/u2332r9+vU6fvy47O3t9f333+uZZ57J/uINKuXGs8lkUu3atfXSSy/J29tbt2/f1vDhwxUbG6sGDRrIz89PCQkJOnTokPbv36+kpCRVqVJFy5YtS3fGBjyax33vSfmeK2XgSufOnbOowtzl4sWLatu2rWUmUTc3N8XExEiSateurWeeecbyObBXr16WgSsrVqzQ1q1bZW9vT3A8E4WEhKhdu3ZKSkqSj4+PunTpokqVKsnR0VHHjx9XQECATpw4oQIFCmjLli0qXLiwjh49qsWLF2vTpk0ym82aPn063+tmkqCgIK1Zs0YHDx5UREREqn/XJcnJyUlly5ZVlSpV9PLLL6t27dpWqhTIXufPn9eSJUsUHBysUaNGpZlt+p9iY2M1ceJErV+/XklJSXwWz0RnzpzRkiVL5Ovr+8Ag97Vr11S/fn3VqlVLffr0UbVq1bKxSkj3B3ANHz5ce/fulcQ98hQEZJBr7Nq1Sz/99JO8vLzUu3dva5eTqyQnJys0NFQnT55U8eLF5e/vb9nXsWNH+fj4qFu3bipTpowVqzSu+Ph47dixQ3v37tXJkycVGRmpW7du6d69e3J2dlbBggVVvnx5ValSRa1atVK5cuWsXbLhNGrUSM8++6y+/PJLa5eCf7h06ZIuXbqk4sWLq1ixYpbtcXFxCggI0JYtW3ThwgW5uLioVq1a6t27t3x8fKxYsTFFRUVp4cKF+vXXX3XhwgWZTCaVKlVKjRo1UteuXVOthf77779blm1gdFTWYeSa7YmPj1fTpk0VFRWluXPnql69etYuKVdi1JptYeRazsCoteyVmJio06dP68SJEzp58qRl4ErKjWdJ6tChgz7++GNJ9z+vV6pUyfLaGDlypDp16mSt8g0pKSlJM2fOVEBAgBISEtINhf8zmC9JL7zwgqZMmULoOJMQzrM9x44d0+DBgxUeHm7ZVrFiRQUEBMjOzk7t27fXuXPn0rw+TCaTRo0axWCJTLZu3TqNHDlSiYmJ6b5P5c2bVzNnztQLL7wgSVqwYIFlJr63335bH3zwQbbXnBuYzWbduHFDd+/elZ2dnfLly6f8+fM/1Od0APdduXJFBw4cIMRnJUlJSYS9bcCyZcu0efNm+fr6atSoUdYux+oIyAAAAABIV3BwsNasWaMDBw4wcs0GnDt3TpcuXZKHh4dKly5t7XJyLUat2RZGruUMjFqzvsuXL1vCMr6+vqpfv75lX6NGjVShQgW98847//qehscXFRWljRs3WgavXL16NdV+Ozs7lSpVSlWrVlXr1q0tyzEhcxCQsU3Jyck6cOCAZeDK3/99joqK0uTJk7V161bdvXtXJpNJVapUUf/+/Xl9ZJG//vpLX3/9tfbs2aM7d+5IklxcXFS/fn3169cv1aC6Xbt26eeff9Yrr7yi5557zlolG058fLy2bNmiI0eOKDk5Wd7e3mrSpEmqgUPpmTt3rsLCwjRhwoRsqjR3+Gc/KlSooKZNm9IPK3ncfsybN0+hoaH0IxPx2rAt9OPREZABAAAA8K8YuQY8GUatWR8j16yPUWvA/8THx6ea3dXFxUUODg7WLguwSdHR0cqfP7+cnZ2tXUqukJycrJiYGJlMJrm5ufGZL5uEhISoX79+ioiISLXd2dlZ/fv319tvv53huR06dNCBAwcI42ci+mFb6IftoBe2hX48HgIyAAAAAAAAAAAAgBVcu3ZNbdq00dWrV1WoUCH5+/vLbDYrODhYd+7ckclkUuPGjTV16lQ5OTmlOT833+TMCvTDttAP20EvbAv9eHx21i4AAAAAAAAAAAAAyI0WLlyoq1evqnr16tq8ebPmzJmjuXPnaseOHWrZsqXMZrO2b9+u/v37p1n6GJmPftgW+mE76IVtoR+Pj3k7AQAAAMAGBQYGZsrjvPbaa5nyOAAAAACAzPfLL7/IwcFBkyZNUuHChS3b3dzcNGXKFJUvX15fffWVdu/erWHDhmnKlClWrNb46IdtoR+2g17YFvrx+AjIAAAAALAglGE7Ro0aJZPJ9MSPQy8yB68N20I/bAe9sC30w7bQD9tBL2wL/bAt9MP6IiIiVLJkSXl6eqa7v2/fvkpOTtbMmTO1adMmlShRQkOGDMnmKnMP+mFb6IftoBe2hX48PgIyAAAAACwIZdiOTz/9VF988YVu3bolSSpRooSVK8rdeG3YFvphO+iFbaEftoV+2A56YVvoh22hH7bB3t7+gfv79++vy5cv64cfflBAQIBKlSqlN954I5uqy33oh22hH7aDXtgW+vF4CMgAAAAAsCCUYTvefPNNPf3003rnnXcUGxur9u3bq3fv3tYuK9fitWFb6IftoBe2hX7YFvphO+iFbaEftoV+WF+JEiV07tw5RUdHq0iRIhke98knnygiIkJ79+7VmDFjVKRIETVu3DgbK80d6IdtoR+2g17YFvrx+Exms9ls7SIAAAAA2I7Dhw9bQhkDBw4klGFlQUFB6tGjh0wmk1auXKmKFStau6Rci9eGbaEftoNe2Bb6YVvoh+2gF7aFftgW+mFd48eP15IlS1S/fn1NmzZN+fLly/DYuLg4vfXWWzp16pScnJz08ccfa/Xq1Tpw4ICOHz+ejVUbF/2wLfTDdtAL20I/Hh8BGQAAAABpEMqwLTNmzNCsWbPk7++v5cuXW7ucXI3Xhm2hH7aDXtgW+mFb6IftoBe2hX7YFvphPVFRUWrdurVu3rypokWLqmHDhmrXrp2effbZdI+/dOmSOnfurPPnz8tkMsne3l5JSUm58iZnVqAftoV+2A56YVvox+Ozs3YBAAAAAGxPzZo19e677yoxMVFjxoyxdjm5Xu/eveXh4aGDBw/q119/tXY5uRqvDdtCP2wHvbAt9MO20A/bQS9sC/2wLfTDeooVK6avv/5arq6uioqK0ooVKxQWFpbh8R4eHlq2bJmefvppmc1mJSYmZl+xuQD9sC30w3bQC9t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      "text/plain": [
       "<Figure size 2700x1440 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Visualize top 20 customers who made the most orders.\n",
    "bar_visual(df=order_number[:21], xlabel='Customer User_id',\n",
    "           ylabel=\"Orders made per Customer\", title=\"Frequency of Total Orders by Top 20 Customers\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6c8b2f91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Check distribution of orders in various data subsets\n",
    "\n",
    "fig, ax = plt.subplots(figsize = (8,4))\n",
    "ax = sns.kdeplot(orders.order_number[orders.eval_set == 'prior'], label = \"Prior set\", lw = 1)\n",
    "ax = sns.kdeplot(orders.order_number[orders.eval_set == 'train'], label = \"Train set\", lw = 1)\n",
    "ax = sns.kdeplot(orders.order_number[orders.eval_set == 'test'], label = \"Test set\", lw = 1)\n",
    "ax.set_xlabel('Order Number')\n",
    "ax.set_ylabel('Count')\n",
    "ax.tick_params(axis = 'both', labelsize = 10)\n",
    "ax.set_title('Distribution of Orders in Various Sets')\n",
    "fig.savefig('Distribution of Orders in Various Sets.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2ac9670",
   "metadata": {},
   "source": [
    "- There are three sets of orders: `Prior`, `Train` and `Test`. The distributions of orders in Train and Test sets are similar whereas the distribution of orders in Prior set is different.\n",
    "- The total orders per customer ranges from 0 to 100."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4acc1837",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x540 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Check distribution of orders per weekday\n",
    "day_map={2:\"Monday\",3:\"Tuesday\",4:\"Wednesday\",\n",
    "                         5:\"Thursday\",6:\"Friday\",0:\"Saturday\",\n",
    "                         1:\"Sunday\"}\n",
    "daily_order = orders.order_dow.replace(day_map)\n",
    "fig, ax = plt.subplots(figsize = (5,3))\n",
    "ax = sns.countplot(daily_order)\n",
    "ax.set_xlabel('Day of the Week', size = 10)\n",
    "ax.set_ylabel('Amount of Orders', size = 10)\n",
    "ax.tick_params(axis = 'both', labelsize = 8)\n",
    "ax.set_title('Total Orders per Day of Week')\n",
    "fig.savefig('Total Orders per Day of Week.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ca5554b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x540 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp_df = orders.groupby('order_dow')['user_id'].nunique()\n",
    "temp_df.index = [\"Saturday\",\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\"]\n",
    "fig, ax = plt.subplots(figsize = (5,3))\n",
    "ax = sns.barplot(x = temp_df.index, y = temp_df.values)\n",
    "ax.set_xlabel('Day of Week', size = 10)\n",
    "ax.set_ylabel('Total Number of Unique Users', size = 10)\n",
    "ax.tick_params(axis = 'both', labelsize = 8)\n",
    "ax.set_title('Total Unique Users per Day of Week')\n",
    "fig.savefig('Total Unique Users per Day of Week.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "bbd9156e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "count_viz(df=orders.order_hour_of_day,xlabel=\"Hour of day\",\n",
    "          ylabel=\"Amount of orders made\",title=\"Total Orders per Hour of Day\")    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "f3b03a92",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "count_viz(df=orders.days_since_prior_order, xlabel=\"Number of Days since prior order\",\n",
    "          ylabel=\"Amount of orders made\",title=\"Amount of Orders made since prior order\")    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "613d448c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>order_hour_of_day</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "      <th>14</th>\n",
       "      <th>15</th>\n",
       "      <th>16</th>\n",
       "      <th>17</th>\n",
       "      <th>18</th>\n",
       "      <th>19</th>\n",
       "      <th>20</th>\n",
       "      <th>21</th>\n",
       "      <th>22</th>\n",
       "      <th>23</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>order_dow</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3936</td>\n",
       "      <td>2398</td>\n",
       "      <td>1409</td>\n",
       "      <td>963</td>\n",
       "      <td>813</td>\n",
       "      <td>1168</td>\n",
       "      <td>3329</td>\n",
       "      <td>12410</td>\n",
       "      <td>28108</td>\n",
       "      <td>40798</td>\n",
       "      <td>48465</td>\n",
       "      <td>51035</td>\n",
       "      <td>51443</td>\n",
       "      <td>53849</td>\n",
       "      <td>54552</td>\n",
       "      <td>53954</td>\n",
       "      <td>49463</td>\n",
       "      <td>39753</td>\n",
       "      <td>29572</td>\n",
       "      <td>22654</td>\n",
       "      <td>18277</td>\n",
       "      <td>14423</td>\n",
       "      <td>11246</td>\n",
       "      <td>6887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3674</td>\n",
       "      <td>1830</td>\n",
       "      <td>1105</td>\n",
       "      <td>748</td>\n",
       "      <td>809</td>\n",
       "      <td>1607</td>\n",
       "      <td>5370</td>\n",
       "      <td>16571</td>\n",
       "      <td>34116</td>\n",
       "      <td>51908</td>\n",
       "      <td>55671</td>\n",
       "      <td>51584</td>\n",
       "      <td>47079</td>\n",
       "      <td>46728</td>\n",
       "      <td>46764</td>\n",
       "      <td>46403</td>\n",
       "      <td>44761</td>\n",
       "      <td>36792</td>\n",
       "      <td>28977</td>\n",
       "      <td>22145</td>\n",
       "      <td>16281</td>\n",
       "      <td>11943</td>\n",
       "      <td>8992</td>\n",
       "      <td>5620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3059</td>\n",
       "      <td>1572</td>\n",
       "      <td>943</td>\n",
       "      <td>719</td>\n",
       "      <td>744</td>\n",
       "      <td>1399</td>\n",
       "      <td>4758</td>\n",
       "      <td>13245</td>\n",
       "      <td>24635</td>\n",
       "      <td>36314</td>\n",
       "      <td>39230</td>\n",
       "      <td>38128</td>\n",
       "      <td>35780</td>\n",
       "      <td>36650</td>\n",
       "      <td>37173</td>\n",
       "      <td>37469</td>\n",
       "      <td>37541</td>\n",
       "      <td>32151</td>\n",
       "      <td>26470</td>\n",
       "      <td>20084</td>\n",
       "      <td>15039</td>\n",
       "      <td>10653</td>\n",
       "      <td>8146</td>\n",
       "      <td>5358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2952</td>\n",
       "      <td>1495</td>\n",
       "      <td>953</td>\n",
       "      <td>654</td>\n",
       "      <td>719</td>\n",
       "      <td>1355</td>\n",
       "      <td>4562</td>\n",
       "      <td>12396</td>\n",
       "      <td>22553</td>\n",
       "      <td>32312</td>\n",
       "      <td>36040</td>\n",
       "      <td>35215</td>\n",
       "      <td>33455</td>\n",
       "      <td>34161</td>\n",
       "      <td>34773</td>\n",
       "      <td>35990</td>\n",
       "      <td>35273</td>\n",
       "      <td>30368</td>\n",
       "      <td>25001</td>\n",
       "      <td>19249</td>\n",
       "      <td>13795</td>\n",
       "      <td>10278</td>\n",
       "      <td>8242</td>\n",
       "      <td>5181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2642</td>\n",
       "      <td>1512</td>\n",
       "      <td>899</td>\n",
       "      <td>686</td>\n",
       "      <td>730</td>\n",
       "      <td>1330</td>\n",
       "      <td>4401</td>\n",
       "      <td>12493</td>\n",
       "      <td>21814</td>\n",
       "      <td>31409</td>\n",
       "      <td>35034</td>\n",
       "      <td>33857</td>\n",
       "      <td>32249</td>\n",
       "      <td>32751</td>\n",
       "      <td>33625</td>\n",
       "      <td>34222</td>\n",
       "      <td>34093</td>\n",
       "      <td>29378</td>\n",
       "      <td>24425</td>\n",
       "      <td>19350</td>\n",
       "      <td>14186</td>\n",
       "      <td>10796</td>\n",
       "      <td>8812</td>\n",
       "      <td>5645</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "order_hour_of_day    0     1     2    3    4     5     6      7      8   \\\n",
       "order_dow                                                                 \n",
       "0                  3936  2398  1409  963  813  1168  3329  12410  28108   \n",
       "1                  3674  1830  1105  748  809  1607  5370  16571  34116   \n",
       "2                  3059  1572   943  719  744  1399  4758  13245  24635   \n",
       "3                  2952  1495   953  654  719  1355  4562  12396  22553   \n",
       "4                  2642  1512   899  686  730  1330  4401  12493  21814   \n",
       "\n",
       "order_hour_of_day     9      10     11     12     13     14     15     16  \\\n",
       "order_dow                                                                   \n",
       "0                  40798  48465  51035  51443  53849  54552  53954  49463   \n",
       "1                  51908  55671  51584  47079  46728  46764  46403  44761   \n",
       "2                  36314  39230  38128  35780  36650  37173  37469  37541   \n",
       "3                  32312  36040  35215  33455  34161  34773  35990  35273   \n",
       "4                  31409  35034  33857  32249  32751  33625  34222  34093   \n",
       "\n",
       "order_hour_of_day     17     18     19     20     21     22    23  \n",
       "order_dow                                                          \n",
       "0                  39753  29572  22654  18277  14423  11246  6887  \n",
       "1                  36792  28977  22145  16281  11943   8992  5620  \n",
       "2                  32151  26470  20084  15039  10653   8146  5358  \n",
       "3                  30368  25001  19249  13795  10278   8242  5181  \n",
       "4                  29378  24425  19350  14186  10796   8812  5645  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp_df = orders.groupby([\"order_dow\", \"order_hour_of_day\"])[\"order_number\"].aggregate(\"count\").reset_index()\n",
    "temp_df = temp_df.pivot('order_dow', 'order_hour_of_day', 'order_number')\n",
    "temp_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "48777379",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1260x540 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{2: 'Monday', 3: 'Tuesday', 4: 'Wednesday', 5: 'Thursday', 6: 'Friday', 0: 'Saturday', 1: 'Sunday'}\n"
     ]
    }
   ],
   "source": [
    "ax = plt.subplots(figsize=(7,3))\n",
    "temp_df.index=[0,1,2,3,4,5,6]\n",
    "ax = sns.heatmap(temp_df, cmap=\"YlOrBr\", linewidths=.5)\n",
    "ax.set_title(\"Frequency of Day of week Vs Hour of day\", size = 12)\n",
    "ax.set_xlabel(\"Hour of Day\", size = 10)\n",
    "ax.set_ylabel(\"Day of the Week\", size = 10)\n",
    "ax.tick_params(axis = 'both', labelsize = 8)\n",
    "cbar = ax.collections[0].colorbar\n",
    "cbar.ax.tick_params(labelsize=10)\n",
    "fig = ax.get_figure()\n",
    "fig.savefig(\"Frequency of Day of week Vs Hour of day.png\")\n",
    "plt.show()\n",
    "\n",
    "print(day_map)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81bd9279",
   "metadata": {},
   "source": [
    "- From this heatmap, we can infer that:\n",
    "    - Most orders were made druing day time.\n",
    "    - Saturday afternoons and Sunday mornings are prime time for orders, i.e most of people buy groceries on weekends.\n",
    "    - Less orders during the early hours of the morning. This is in line with real-life expectations as most customers are asleep during this period."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1617f33d",
   "metadata": {},
   "source": [
    "The dataset was divided into thre: `Prior`, `Train` and `Test`. Each containing data on items that were ordered.\n",
    "\n",
    "## order_products_prior dataset\n",
    "This dataset contains details on the items that were ordered and the order in which they were put in the shopping cart. It also lets us know whether or not the goods was ordered again."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "6f49238a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order_id</th>\n",
       "      <th>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": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "order_products_prior.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "aac57b95",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of Unique Products in data: 49677\n",
      "Number of Orders made in prior in data: 3214874\n"
     ]
    }
   ],
   "source": [
    "print(f\"Number of Unique Products in data: {order_products_prior['product_id'].nunique()}\")\n",
    "print(f\"Number of Orders made in prior in data: {order_products_prior['order_id'].nunique()}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "c082286f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5    228330\n",
       "6    227675\n",
       "4    222081\n",
       "7    220006\n",
       "3    207027\n",
       "Name: add_to_cart_order, dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "add_to_cart_order_prior = order_products_prior.groupby('order_id')['add_to_cart_order'].count().value_counts()\n",
    "add_to_cart_order_prior.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "ca6a00cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ww9l8882zww47/Kjn+Oabb3LyySenqqoqe+yxR3bccceUl5fn1Vdfzc0335yKioqcdNJJWWihhdK5c+c5/Ar/z4zu9wMPPJDTTjstSdKsWbPst99+2WCDDVJWVpZevXrlhhtuyOjRo3PxxRdnqaWWKrwejz32WJIpk3b222+/LLfccvn6669z1113pWfPnhk/fnxOOumkPPPMM7UmGVVWVuaPf/xj6Wdy2223zQ477JB27dpl3Lhx+eyzz3Lrrbdm8ODB+eabb/LnP/85d999d63nPvnkk9O/f/80atQo+++/fzbeeOO0atWqFJK6++67M2HChJxwwgl5+umnawWKqqurc+ihh+bNN99MMuXzfbfddkuHDh0ybty4vPXWW7njjjsyZsyYHHHEEbnxxhtLU4Jm1uTJk3PYYYelZ8+eta7RCiuskJEjR+axxx7LY489lmHDhuXggw/Oo48+WvrsHjlyZLp3755Ro0alUaNG+e1vf5vNN988iy66aEaPHp2PP/44t9xyS0aOHJkvvvgi559/fi655JLCPl599dVUV1fnN7/5Tbp165ZJkyblueeeywEHHJAtt9wyH3zwQU4//fQkyZFHHlmaXDWjST8AAAA/NcEaAAAA5kljx47NGWeckerq6iywwAK54YYbss4665T2r7766tlll11yxhln5L777sv//ve/XHrppaUv9X5o+PDh6dy5c6688srSFI/VV1892267bf7whz+kd+/eefLJJ7P33ntngw02mKOv5d13383NN9+cJCkvL8++++5b2jd69OjS47pCQTWmXqJjzJgxc6y/JZZYIksssUTp+cvLy7PSSitNc9yll16aTz/9NA0bNswll1yS7bffvtb+TTbZJLvuumv23XffjB8/PqeddlruueeewuccOXJkNt5441xzzTWl+7HWWmtlscUWK020ePnll7Pqqqvmtttuq/XaN91002y77bYZOnRoXnjhhUyePLn0Bf+jjz6aysrKNGrUKLfddluWXHLJUt0aa6yR7bffPvvtt1969eqVZ599NiNGjJil5VkuueSS0hf4++23X0477bRaYZLOnTtnu+22yyGHHJKJEyfmhBNOyHPPPZcFFligdMzpp5+eioqKNGjQYJrruMYaa2S77bbL3nvvnX79+uXuu+/OgQceWJraMju1c1J1dXUuvfTSbLzxxkmm3LtZNXz48Pz1r3/N7373u9K21VdfPVtttVV22GGHDB8+PK+99lqGDx+eNm3alI654oorSqGa4447rtYElDXWWCM77rhj/vjHP5aWWPupfPPNN2nTpk3uueeeWlOo1l133XTq1CnHHntskimhkx8brKmZ1HXhhRemS5cupe3rrLNOOnfunP333z+VlZU599xzs+GGG/5kE4qmd79HjBhRCre1bt06//rXv7LccsuV9q+77rrZfPPNs9dee2X8+PG59NJLs/322xeGsIomLW233XY5+OCD88orr+Tbb7/Nq6++Wut9//DDD5d+Jrt161YK+NTYZJNNSsv9DR48OL17987QoUNLQcXBgweXQjFHHnlkDj300Fr1nTt3znLLLZezzz4748ePz2OPPZbu3buX9t92222l+pNOOqnWviTZcMMNs/vuu2efffbJsGHDcsopp+TZZ59N48aNp3fJa7nvvvtKoZqtt946l156aa36LbbYIssss0yuuOKKfP3117njjjty+OGHJ0luueWWjBo1Kkly4okn5oADDpjm9e22227Zcccd89133+W5555LVVVV4VJ51dXVWXvttXPVVVelYcOGpeubJCuttFKt30tLLLFE4e8RAACA+tCwvhsAAACAn8J9991X+jLwyCOPrBWqqdGwYcP85S9/SceOHZMk99xzT6nmh1q1apULLrhgmi+eF1xwwZx//vmlLwn//e9/z7HXkExZ7uaII44oLeNy2GGH1foSvrKysvR4RstQNWjQoNT/1HU/hzFjxuTee+9Nkuy8887ThGpqrLzyyqWgw3vvvTfNcklTO+mkk6a5H5tttlmtEMoJJ5xQK1STJE2bNi19wT969Oha93z48OFJptzXoikJjRs3zlFHHZX99tsvJ598cq0lpmZkxIgRefDBB5NMmRhxyimnFIYDNt544/To0SPJlPBFTU2SfPrpp6VltHbZZZfC69isWbMcc8wxSaZ8kf3666/Pdu2c1qFDh9I9+LFWXXXVWqGaGi1btiy9tsmTJ6dv376lfRUVFaWw1pprrlm4rFDz5s1z0UUXFQYD5rRDDz201s9zje233740MeSTTz6ZrefYdddda4Vqaqy11lo58MADk0yZ1PTDJZTmpOnd7yeffLIUEDzhhBNqhWpqrLjiiqV7PWTIkGmWXEqmBPrOPvvsaT4TGjRokH322af05x8u9zRo0KAsvvjiadq06TShmBrNmjUrTU9JpiwlWOObb74pPa5rOb499tgje+65Z44++uisttpqpe3V1dW55ZZbkkwJO/0wVFNjqaWWygknnJBkyuv/4ZJRM1IzYad58+b5+9//XhjK6dGjRxZZZJEkyX/+85/S9mHDhqVNmzZp06ZNrVDn1Nq1a5f11lsvyZSfsbp+jybJXnvtVfp9CQAA8Evh32IAAACYJ7322mtJkkaNGmXPPfes87jy8vLS/oqKirz11luFx+2www5ZaKGFCvd17Ngxa6+9dpIpS13ULNk0uz777LPsv//++fbbb5NMmQxQE7ioMfUXlDOzjE5NEOTn/mLzrbfeyvfff58k0yxt9ENTL0lT15f9iyyySDp16jTN9gYNGpQCMeXl5aX7UlRfY/z48aXHyy67bJIpkz6OPvrofPbZZ9PUbrTRRjn99NNzwAEH1DrPjLz55pul98aee+6ZRo0a1Xns1EGAV155pfT4hRdeKD3edddd66zv3LlzHnroofTq1asUSJid2jlt9dVXn+1zTC+Y06FDh9LjcePGlR6/8cYbpffhb3/72zrrl1pqqdkO/syMqZd1m1qDBg1Kk4Km7v/HqCsMkSS777576fGLL744W88zPdO73zXP27hx4+y44451HnfIIYfkqaeeSu/evQvDN6uttlpat25dWDt14OWH07qOPfbYvPTSS+nVq9d0p09NPfVo6mBihw4dSiGs8847L88991wpCFmjSZMmOeecc3LYYYfVCnn27ds3Q4YMSTLjz8XNNtus9Bk/KyGo4cOH54MPPkiS/OY3v0mLFi0KjysrK8sdd9yR1157LXfeeWdp+9///ve89tpreeWVV6Y7JWfRRRctPZ5ecHONNdaY6d4BAADmFpaCAgAAYJ5UM5VgmWWWScuWLad77NRf9PXr1y/bbLPNNMfMaKmalVdeOf/9738zduzYDBs2rHAKxazo06dPDjnkkIwYMaL0/Jdddtk04Zmpp7FUVFRM95yTJ08ufeH7Uy35UpePPvqo9Pikk07KSSedNFN1AwcOLNw+9RJNP1Tz2lq3bl3n1JGpX//UU2d23XXX3HDDDRk2bFief/75PP/882nfvn022mij0v9m9H6qS79+/UqPZxQsWWSRRdK+ffsMHDiw1oSNmiVrkinvubqUlZVNs4zK7NTOaYsvvvhsn2N6S1RN/XMxadKk0uOPP/649PjXv/71dM+/2mqr5eWXX56NDmdseu/jmtcwdf+zqkmTJllllVXq3N++ffu0atUqo0ePLpwCM6dM737XvC+XXXbZNG3atM7jFl544ekGX2qWZioy9TSvH4ZeatSEDSdNmpShQ4dmwIAB+fLLL/O///0v7733Xj788MPSsdXV1aXHrVu3zp577pm77rorX3/9dQ4//PA0a9Ys66+/fjbaaKNsvPHGpcDeD039uXj55Zfn8ssvr/M1TK2uz8UiX375ZekzbnrvhSR19pn83/WZOHFivvrqqwwcODBffPFF+vXrl169etX6fJv6+vzQnPjZBwAA+LkJ1gAAADBPqlmKYnpfxNaYeupIXUtYFC0LNLWpn+ebb76ZrWDNc889l+OPP740WWO99dbLNddcM82SRsmUJUpq1Bxfl6kns9QsM/NzGTly5I+q++F0iRpTv+66/JilfFq1apVbbrklp556anr37p1kypfYd999d+6+++40atQo6667bnbffffsvPPOMzUlqMbU762ZmXSz6KKLZuDAgbXqaqYXNWzYcJbv4ezUzmnNmzef7XMU/TzUmPq+TB2cqrkGSeqcblJjVqYR/Rjl5eXTfY/WvIZZWW7shxZZZJHpTkZKplyH0aNH11rSaE6b3v2uuSd1TQSbWTPzmZAUX8+qqqrcf//9efDBB/Phhx8WTlyZ3pSv0047LeXl5fnXv/6VqqqqjBs3Li+88EJpSlSHDh2yww47ZP/996/1u2JOfy4Wmfq+/thr/P333+fOO+/MY489ln79+hVOZWvYsOF0AzXJlKlEP3eoEwAAYE4QrAEAAGCeVPPl6cwEH6b+MrCuL09nFNKYeqrE9JbLmJFbb7015513XqmnLbbYIpdddlmdkxzatWuXsrKyVFVVlZYUqcvQoUNLj2cUFJrTpr4+V1111XQndUytri/kZxQWmB3LLbdc7r777rz33nt5+umn88orr5SmxkyaNClvvvlm3nzzzTzwwAO55pprpjtlY2pTv89m5n1Zc82mfk9O/YX25MmTZynYMzu1M2tmQyA/xXPPjKkDEzMKAcwLZubnpOZ99mM+t+bE/Z5TS+f9WCNHjsxBBx2U999/v7StUaNGWXrppbPssstmpZVWyjrrrJM+ffrk4osvLjxH48aNc+qpp+aggw7K008/nRdffDFvv/12JkyYkCQZMGBArrnmmtx555258cYbs9pqqyWp/bn4l7/8JWuuueZM9Tz1BJ4ZmZ2JR8mUYOGBBx6YL7/8srStcePGWWaZZbLssstmlVVWyXrrrZeHH3641hJSRerr5x4AAGB2CdYAAAAwT2rVqlWGDRtWa0JFXab+L/rrmuRR1ySbGlNPHmjTps3MNfkDF198ca6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      "text/plain": [
       "<Figure size 2700x1440 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Top 20 most occuring products in carts (prior dataset)\n",
    "bar_visual(df=add_to_cart_order_prior[:21], xlabel='Product Id',\n",
    "           ylabel=\"No of Items in cart\", title=\"Top 20 Items occuring in purchase cart\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "a835198d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2700x1440 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Top 20 most occuring products in carts (prior dataset)\n",
    "\n",
    "bar_visual(df=add_to_cart_order_prior[::-21], xlabel='Product Id',\n",
    "           ylabel=\"No of Items in cart\", title=\"Least 20 Items occuring in purchase cart\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "9d914886",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "114    1\n",
       "112    1\n",
       "94     1\n",
       "90     1\n",
       "145    1\n",
       "Name: add_to_cart_order, dtype: int64"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "add_to_cart_order_prior.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e074b2ea",
   "metadata": {},
   "source": [
    "- From this chart, we can infer that say that most customers buy 1-15 items in an order.\n",
    "- The maximum number of items in a single order is 145."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "70bac0ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 540x540 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(3,3))\n",
    "ax = sns.barplot(x = order_products_prior.reordered.value_counts().index, \n",
    "                y = order_products_prior.reordered.value_counts().values, color = color[1])\n",
    "ax.set_xlabel('Reorder status', size = 10)\n",
    "ax.set_ylabel('Frequency count', size = 10)\n",
    "ax.tick_params(axis = 'both', labelsize = 8)\n",
    "ax.ticklabel_format(style='plain', axis='y')\n",
    "ax.set_title('Reorder Frequency in Prior Set')\n",
    "fig.savefig('Reorder Frequency in Prior Set')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "a6b2130b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Percentage of reorder in prior set: 58.97\n"
     ]
    }
   ],
   "source": [
    "print('Percentage of reorder in prior set:',\n",
    "      format(order_products_prior[order_products_prior.reordered == 1].shape[0]*100/order_products_prior.shape[0], '.2f'))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc842bb3",
   "metadata": {},
   "source": [
    "- The percentage of reorder items in this set is 58.97%."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4d55850",
   "metadata": {},
   "source": [
    "## Order_products_train\n",
    "This dataset gives information about which products were ordered and in which order they were added in the cart. It also tells us that if the product was reordered or not."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "78229bc3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order_id</th>\n",
       "      <th>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",
       "  </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"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "order_products_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "54921de2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of Unique Products in data: 39123\n",
      "Number of Orders made in train data: 131209\n"
     ]
    }
   ],
   "source": [
    "print(f\"Number of Unique Products in data: {order_products_train['product_id'].nunique()}\")\n",
    "print(f\"Number of Orders made in train data: {order_products_train['order_id'].nunique()}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "308aa52c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5    228330\n",
       "6    227675\n",
       "4    222081\n",
       "7    220006\n",
       "3    207027\n",
       "Name: add_to_cart_order, dtype: int64"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "add_to_cart_order_train = order_products_prior.groupby('order_id')['add_to_cart_order']\\\n",
    "                .count().value_counts()\n",
    "add_to_cart_order_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "42fd94cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2700x1440 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "#Top 20 most occuring products in carts (prior dataset)\n",
    "bar_visual(df=add_to_cart_order_train[:21], xlabel='Product Id',\n",
    "           ylabel=\"No of Items in cart\", title=\"Top 20 Items occuring in purchase cart (Train)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "342ac37e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Percentage of reorder in train set: 59.86\n"
     ]
    }
   ],
   "source": [
    "print('Percentage of reorder in train set:',\n",
    "      format(order_products_train[order_products_train.reordered == 1].shape[0]*100/order_products_train.shape[0], '.2f'))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f1b21a83",
   "metadata": {},
   "source": [
    "## products\n",
    "\n",
    "This dataset contains the list of total 49688 products and their aisle as well as department. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "98073bba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "products.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "89c985bf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of Unique Products in data: 49688\n",
      "Number of product aisles in train data: 134\n",
      "Number of Unique Departments in train data: 21\n"
     ]
    }
   ],
   "source": [
    "print(f\"Number of Unique Products in data: {products['product_name'].nunique()}\")\n",
    "print(f\"Number of product aisles in train data: {products['aisle_id'].nunique()}\")\n",
    "print(f\"Number of Unique Departments in train data: {products['department_id'].nunique()}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "d1765383",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2700x1440 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "#Visualize total number of products in each department.\n",
    "total_df = products.groupby('department_id')['product_id'].count()\n",
    "\n",
    "bar_visual(df=total_df, ylabel=\"Total products in department\",\n",
    "           xlabel=\"Department Id\", title=\"Total Products per Department\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "4f9cbd0f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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z0UUXZeTIkfnqV7+ak046Kck/3/X2m9/8Jr///e/ToUOHXHfdda7QVGHeZQVLmzt3br785S9n0qRJaWxszIABA1Iul/Pss88m+ecLhfvtt1+OP/74972938sr77LLLssvf/nLtLS0tL5g27lz51x88cW5/fbbc8EFFyT55wtUa665ZqZOndoaDW2//fYZOXJkrUZf4fzlL3/5SNvvt99+WXfddXPiiScusdwLJR/fB0U9hx12WO6+++6USqVsvfXWS7wh5KGHHkryz9hh1KhRbT32CuvVV1/NHnvskVmzZrWG7vvuu2+S5IADDmj9dx86dOgSbwh58MEH09LSkiFDhuSqq67yca0V8q9vCOnevXtOOOGE7LbbbjWcaOX2X//1X/nd7363xBtCGhoacsYZZ6SxsbH171GDBw/OwIED8+abb+Yvf/lLFi9enCFDhuTqq68WylXQzTffnKOPPjotLS1Jki5duuSdd95pfRPCaqutls985jN5/fXXM2HChMyePTulUildu3bNb3/7W1eUq4Dvfve7uf3223PUUUflkEMO+Ui3vfDCC3PGGWfk85///PvGp3w03vBcnLdY8oHGjh1bkf185Stfqch+VlaTJ09Or1693jc6SZIjjjgiLS0tOffcc3PzzTdnzTXXzFFHHdXGU648rrjiipRKpZx22mmtf1T/2te+ljXXXDPnnntuSqVSTjzxxKVezO3du3fOPPPM7LXXXrn++uuFJxVwzTXX5LzzzsuoUaOyePHi7LLLLvnhD3+4zF86Bg8enA022MC7qtrYPffck1KplGOPPfZ9Xxjs1atXzjrrrAwbNiw33HCD8KRCHnzwwbRv3z6nnXbaEldm+NOf/rTMn1PJP3+RHDFiRLbffvvcdtttwpMK6tChQ4YPH56tt946//3f/51Jkyble9/7Xvr3759vfetb+dKXvuQKKG1g3LhxKZVK+fWvf53tttsuSbLddttlo402ykEHHZTZs2fnv//7v5eITpJk1VVXzemnn55ddtkl48ePF55UyEUXXZQkOfvss5d6J0hzc3MOP/zwNDY25swzz8ywYcOy4YYbpk+fPhk+fHh69OiRUaNGZfTo0fn5z39ei/FXSI899lhOPPHEwu+yOuaYY7LGGmt48ZAVzpgxYzJp0qSsvfbaOfvss1uv7vPMM8/k5JNPzl//+tdcdtllmTt3bv7nf/6nxtOu+J544on88pe/zOLFi/O5z32u9Q0hDz30UE444YS8/vrr6dSpU0aNGrXEz6NHH3003/nOd3LnnXfmlltu+cCr1PDh7bfffh/pj/OlUinPPPNM9t9//yWWrYx/nG8r9957b+6+++507tw5559/fjbbbLMl1j/++OM54ogjcs899+TGG2/M7rvvXqNJVyy/+c1vMmvWrGy00UY5/fTT06dPnyTJrbfemoceeijdunXLWWedlc985jNL3G7ixIk56qij8vTTT+fyyy/PN7/5zVqMv0JaZ5118slPfjIPPPBAjjrqqFx99dU59thjfdRUG7vtttty9dVXp1QqZdiwYa1vCBk3blyGDx+ebt26pbm5OSNGjMiOO+7YersXX3wxhx56aJ5++ulcc801rSEXH8+LL76Yn/zkJ2lsbMwhhxySAw44oPWKMlOmTMl5552XsWPHZt11182ZZ56Zcrmchx56KKNGjcqDDz6Ygw46KNdff33WWGONGn8ny7dHHnkk3bt3/8jRSZIccsghufTSS5e6MiPFfOtb38pvf/vb1jfZFLGyXvfDX7b5QD/96U8/dtWVCE8q4f/6WJYjjzwyr732Wq655pqMHj06ffr0yVe/+tU2mm7l8thjj2WNNdZY6p2cBxxwQC644IK888472Wabbd73tuutt1769evXeol4Pp7GxsYceeSR2WGHHfLjH/84l1xySe65554MHz48G220Ua3H412vvvpqknzgZ7AOHjw4AwYMyHPPPddWY63wZsyYkbXXXjtdunRZYvmsWbOSJFtuueUyb7v66qtnnXXWyQsvvFDVGVdWX/rSl7LNNtvkrLPOytixY/P888/n+OOPz5lnnpkvfvGL2XXXXX2edxU988wz6dmzZ2t08p6tttoqvXv3zpQpU5Z5FZo+ffpk4MCBmTRpUvUHXUn87W9/S9++fT/w8qNf+cpXMmLEiFx//fVLnBtHHHFErrjiitx///1tMepKY/To0WlpacnRRx/9of7g1dTUlE033TSbbrppBg0alDPOOCOjR48WnlSIN4PUj/Hjx6ehoSGnn376Eh8ptc4662TMmDE56aSTMnbs2IwbNy5dunTJscceW8NpV3xjxoxJS0tLjj322Bx00EGty08++eRcddVVKZVKOe6445b6WbTxxhvn9NNPz0EHHZRrr71WeFIhPXv2zCuvvPKx9rGy/nG+rYwfPz6lUilHHXXUUtFJkmy44YY544wzcsABB2TcuHHCkwq577770tTUlF//+tf51Kc+1br8jjvuaL0Cyr9HJ0my7rrr5txzz81uu+2WG2+8UXhSQV26dMnFF1+cUaNGZeTIkXn44Yfzla98JZ/97Gdz6KGHZosttqj1iCuF9x6r//2q4FtuuWWOOuqoTJ8+Pcccc8wS0UmSrLXWWvn1r3+dYcOG5cYbbxSeVMhFF12Ud955J6eddlq+9KUvLbGuV69e+fnPf55VVlklI0eOzM4775yBAwdmyy23zJZbbpnjjz8+48aNy+jRo5d55T8+nFmzZhW+ckypVEqPHj3yzDPPVHiqldNRRx2VTTfdNN///vfzzjvv5Be/+EX23HPPWo+1XPj/27vz+Jjv9f//z5HIJiGWiNi3SIgt1Fa+RdKiLQ5adRrr4aMIbW1VilZV0Y+tKLVTPeU4iC04qpKiuCW1tNRB0CSySBAhRMg2vz/8Mh9pEtVIMkMe99vNH/N+v14z18xlJrNcr+tF4Qkea9q0aZozZ46Sk5MlSZUrVzZzRMVT5cqVdeXKFSUkJDx278JPPvlE0dHROnr0qKZPn67y5cvL19e3CCMtHm7duiV3d/ccx52cnFS9enVdvnw5W3eBP7K1tTW1qEPBqF+/vgICArRw4UKtXbtWfn5+GjRokN5//31aLloAJycnSfrT1rBWVla6f/9+UYRULDg7O+vmzZs5jmd92XXv3r3H5iQxMZHnTyEqW7asPv30U/Xr108rVqzQ3r17de3aNa1bt07r1q2Tm5ubXnzxRTVt2lReXl6qXLmyypQpY+6wnwtpaWkqVapUrufs7OwkSfb29nnOt7KyyrHHNPLvxo0bqlu37mPHZL2v+mPBj42NjapXr64LFy4UVnjFEqusLAuLQSxHRESE3Nzccv0yuESJEpoxY4aMRqO2bt2qdevWqWrVqurbt68ZIi0eQkNDVbZs2WxFJ9LDosTNmzcrIyNDnTp1ynVumzZtVLlyZf32229FEWqxsGvXLn3++efatm2b7O3tNW7cuMf+GPi47WBQOKKjoyVJnTt3znNMq1atVLVqVTrPFKBr166pVq1a2YpOJOn69euSpI4dO+Y5t0aNGnJ3d1dkZGShxlgcGQwGjRgxQp07d9asWbN0+PBhHTlyREeOHFGDBg3Us2dPde7cWS4uLuYO9bn13//+VxUqVMjREfz111/XnDlzTNtU5cbT01M1a9Y0bXeIpxcSEiI3N7ccRSePGjhwoNauXastW7ZkK7D+6KOPtHfvXv34448UnjylSpUq6fLly7pz547p+/QnlZCQoIsXL+b4e4P869ixo2bPnq2xY8dq+vTpeuGFF0ydy5C3EuYOAJbt73//u9auXasyZcrIYDCoT58+CgoK+sv/8HTatWun9PR0ffTRR7p3716e46ysrLRo0SK5u7srPT1dY8aMKbAVcvg/Li4uioiI0N27d3Oce++99zRkyBBTR4E/SkxMVHh4uFxdXQs7zGKnZMmSGj9+vL777jtVrVpVq1evVq9evXT69Glzh1bsZa2mOnv2bJ5jbty4oYiICFoyFqCmTZvq+vXr2r59e7bjHTt2lNFo1O7du/OcGxwcrKtXr6p+/fqFHCXc3d01Z84cBQUFadiwYapevbqMRqNiY2O1detWTZ06Vb169VLr1q3l7e1t7nCfC5UrV1Z4eLiioqKyHY+KijIVNvz666+5zk1MTNTly5f5IF+AKlSooLCwMMXFxeU55sSJE5L+rzAoi9FoVHx8fJ6FRMif27dv5/v/eNYqK4qsC860adPk4OAgo9Eoo9EoNze3fP3D00tPT5eDg8Njx3z22Wem91ozZ85UcHBwEUVX/CQkJOT6WuXi4mLaprhcuXJ5znd2ds71Mz3yx9HRUbNmzdKyZcvk6Oiozz//XAMGDFBMTIy5Q8P/L+t91OMWSkkPF45kLUDE03Nycsr1u9yshYV/1uknJSVFJUrwE05hqV27tlauXKkVK1bI29tbRqNRZ8+e1eeff64OHTqof//++vrrr3Xs2DElJSWZO9znyr179/L8O5216MbZ2TnP+Q4ODnrw4EFhhFYsXb169bHvm6T/e936Y8GPo6OjatWq9dSdzyD5+PgoJSVFY8aM0a1bt554XlJSkqkzh4+PT+EFWAy99tprevvtt5WSksJ2qk+Idy34U40bN9aiRYtUokQJLV68WOfOnTN3SMXOkCFDVLp0aR06dEivvvqqpk2blueP6Y6Ojlq5cqWqVaum1NRUTZ06lR/eC1ibNm10//59TZs2TWlpadnOderUSePHj8+1sCQjI8M0p23btkUVbrHTtGlT7dy5U/369dPly5fl5+en+fPn58gVCsevv/6q119/XWPGjNHSpUv1ww8/qFmzZnJwcNBXX32V65x79+7po48+Unp6ul588cUijvj51bdvXxmNRk2dOlWbNm0yfaHVqVMnNW/eXHPnzs21OPSHH37QhAkTZDAYWB1dhCpWrKgxY8Zo37592rVrl0aPHq127drJ2dnZ9GMjHYEKho+Pj9LT0zVy5Ej9+uuvun//vk6ePKmRI0cqIyNDZcqU0ezZs3P8GGU0GjVjxgxeqwpYVoH1mDFjcv0y9/bt25o5c6YMBkOO7RJWrlypGzduqGnTpkUUbfHw6Cqrv4pVVgWPxSCWw9XVVZGRkY8tVihRooTmz5+v+vXrKyMjQ2PHjs2zmBFPx9nZWVFRUUpNTc1xrl+/furSpYsSEhJynZuSkqLw8PDHdpRF/nTo0EGBgYHq0qWLQkND1a1bN23YsMHcYUEybVf4uO1t7969y3OjgDVo0ECxsbE6fPhwtuP/7//9PxmNxsf+jT516pQiIyP/tDsgnt5LL72kDRs2aMuWLeratavs7e2VkZGhn3/+WYsWLdLgwYPVqlUrNW/e/LEdIfDkXF1dFRERkaNTb0JCgmnb57w6WyYnJys8PJyONAXI2dlZFy9efGyxQ9bvglZWVjnOJSYm5lgogr/O399f1apV05EjR+Tr66sJEyZo06ZNOnbsmM6fP6/w8HBFRETowoULCgkJMS1Ye/nll3X8+HG5urpq+PDh5r4bz52xY8eqTJkyOnjwoE6dOmXucCyewcgGmnhCixcv1pIlS+Tt7a2NGzeaO5xi5/jx43r33XeVmJgog8GgL774Is92c9LDlo3Dhg0ztcc0GAwUDRWQyMhI/e1vf9ODBw9UpUoV+fn5afDgwXmOT0xM1LZt2/Tvf/9bkZGRsrOz086dO2nLVQRCQkI0adIkXb16VXXq1NGlS5do51uIfHx8FBsba7qcW1v4QYMGmdoxZu0dun//fsXHx8vW1lbbt29XzZo1iyrk597cuXO1atUqGQwG1ahRQ76+vnJ3d5eVlZVmzZqlxMREeXp6ytPTU6mpqTpz5oyioqJkNBrVoUMHLVu2zNx34bnxNO3Er169qvj4eN28eZOVCwXg1q1b6tmzp65evZrjdapLly7y9PTUggULVKlSJfXv31+1a9fW9evXtWXLFp05c4a/4wUsNjZW3bt3V3JysqnVspeXl6ytrXX+/Hlt2LBB8fHxcnV11Z49e1SqVCkdO3ZMixYtMm3nsnbtWrVu3dq8d+Q5MnPmTK1fv17t2rXT3LlzH7vS8FFJSUny9/fXiRMnNHDgQE2cOLFwAy1mQkJCNHjwYBkMBm3evJmuZGYwZcoUbd26VT169DAVxOUlPj5effr0UVxcnMqUKaP58+dryZIlOnXqFJ/LC8iYMWP0n//8J9vniyc1Y8YM/fOf/1S3bt00Z86cQooQe/fu1aeffqrbt2+rdevWmjFjhqpUqSKJrXYKk6enp+zt7dWiRQvVq1dP7u7u8vDwkIODg7p16yZfX1/Nnz8/x7zMzExNnjxZ27dv1+uvv665c+eaIfrnz759+/T+++/LyclJCxYsULt27SQ9/D6kV69eun79utasWaMGDRpkm3f27Fn5+/vr2rVrmjp1qvz8/MwR/nPnSV97UlNTdfToUR04cEAnTpxQeHi4aTEP37EXjE8++USbNm1Sy5YtNW/ePLm4uCg+Pl4TJkxQSEiI7O3t1axZM61YsSJHocMXX3yhtWvXqkePHpo9e7aZ7sHzZfz48QoMDJSvr68WLlwoa2vrbOfT0tI0aNAgnTx5Uu+++678/f1N53bs2KEPP/xQLVu21Pr164s69OdOQkKCRo8erZ9//vmJtlzNem1q3ry5Zs+ezXdVheSXX35ReHi46tWrJy8vL3OHY9EoPMETS01NVadOnRQfH6/ly5frpZdeMndIxc6dO3e0detWhYaGyt/fXw0bNnzs+LS0NK1YsULffPON7ty5w5viAnT48GGNGzdOSUlJ6tq162M/kJ89e1ZvvPGGpIetTb/88kt16NChiCJFcnKyZs6cqa1bt0oSX24Vsrt37+r8+fPZ/l26dMnUqaF///6aPHmypIdvjBs2bKiMjAzZ2Nho7ty5ee7DjvzbsmWL5syZo9u3b//pB5ast4W9e/fWlClTZGtrWxQhFgt8uW5ZYmNjNWnSJIWEhJiO+fr6mv6eDxgwQGfOnMn2nDEajSpZsqTmz5+vV155pchjfp4dO3ZM7733nu7cuZPjdcpoNKpChQpasWKF6Qv5devWafbs2bK2ttakSZPUt29fc4T93Lp165Z69+6t6OhoOTg4yNfXV82bN1f16tVVtmxZ2draymAw6MGDB7p165aio6P1yy+/aN++fUpKSlKlSpW0ffv2Jy5YwZNjMYh5/f777+rRo4fS0tJUv359denSRb6+vqpTp06u48PCwjRw4EAlJibKyspKtra2SklJ4XN5ATl79qzeeustZWZmqlmzZurTp89jF+fcv39fBw8e1IYNGxQaGiorKytt2bJFnp6eRRh18ZOQkKApU6YoODhYpUqV0oQJE9SnTx/eGxeihg0bKj093XQ5671V1g+3GRkZeu+99zRixAjT5W+//VY7d+7UuXPnZGVlpX/9619/+p0jnlzWD7oGg0Ft2rTRyy+/LHd3d927d0+TJk1SUlKSOnToIE9PT6WlpenXX3/Vzz//rIyMDDVp0kQbNmzItcMA/rr8vvZkfdeVtSCkf//+hRRh8XH16lX16NHD1PWybNmySkxMlPSw23jDhg1NnwHfeecd04KQTZs2af/+/bKysqIYuwCFhYWpV69eysjIUL169TRgwAB5eXmpZMmSOnfunFatWqXz58/LyclJ+/btU7ly5fTbb79p3bp12rNnj4xGoxYuXMj3ugUoJCRE27Zt0y+//KLo6Ohsf9slycbGRrVq1VKTJk306quvqk2bNmaKFMiOwhP8JVeuXFFcXJwqVaqk6tWrmzscPKG0tDSFhYVRiVfAEhMTtXnzZlWtWlWvvfZanuNu376tN954Q+3atdOQIUOoOjWTgwcP6j//+Y9q1qypYcOGmTucYiUzM1Ph4eG6cOGC3Nzc5O3tbTrXt29f1atXT4MGDVKNGjXMGOXzLTU1VUFBQTp69KguXLigmJgYJScn68GDB7Kzs1Pp0qVVp04dNWnSRF27dlXt2rXNHfJzx8fHR40bN9aXX35p7lDwiLi4OMXFxcnNzS3bNnl3797VqlWrtG/fPsXGxsrR0VGtW7fWsGHDVK9ePTNG/PyKj4/XmjVrdOjQIcXGxspgMKhatWry8fHRwIEDs+03ffz4cVP7ft5XFQ5WWVkmFoOY3969e/Xhhx8qNTVVBoNBM2fOVM+ePfMcf+nSJQ0dOtS05z2rpAvW1q1bTdvZdu7cWQsXLsxz7OnTp9WnTx8ZjUYZDAZNnz5dvXv3LsJoi7eAgADNnDlTycnJatOmjY4ePUrhSSFJT0/XpUuXdP78eV24cMG0ICTrB11J8vPz08cffyzp4ed1Ly8v03Nj8uTJ6tevn7nCfy5lZGToq6++0qpVq5SWlpZrofUfC94lqW3btpo3bx7FvAWIojfLcvbsWY0dO1aRkZGmY/Xr19eqVatUokQJ9enTR1euXMnx/DAYDJoyZQoLEArYjh07NHnyZKWnp+f6OmVvb6+vvvpKbdu2lSStXr3a1DluyJAh+uCDD4o85uLCaDTq9u3bun//vkqUKCEHBweVKlXqiT6rA0WNwhMAAAAAAJBDaGiotm3bplOnTrHKykKwGMT8oqKitH79eoWGhmrKlClq0aLFY8cnJSVp9uzZ2rlzpzIyMig8KWCXL1/W+vXr5eHh8ditKG7evKn27durdevWGjFihJo1a1aEUUJ6WGQ6adIkHT16VBLdSIvatWvXTEUoHh4eat++vemcj4+P6tatq6FDh/7paxryLz4+XoGBgaYFITdu3Mh2vkSJEqpWrZqaNm2qbt26mbblQcGh8MTyZGZm6tSpU6YFIY/+fY6Pj9fcuXO1f/9+3b9/XwaDQU2aNNGoUaN4fhSS//73v1q6dKmOHDmilJQUSZKjo6Pat2+vkSNHZluodvDgQX3//ffq2bOnXnjhBXOF/FxKTU3Vvn37dObMGWVmZsrd3V2vvPJKtgU5uVm+fLkiIiI0a9asIor0+ffHXNStW1edOnUiF49B4QkAAAAAAHgsVlkBT+f69es6deoULcjNKCMjg+0qLMCGDRu0d+9eeXh4aMqUKeYOBzCb1NTUbJ1IHR0dZW1tbe6wAIuUkJCgUqVKyc7OztyhFAuZmZlKTEyUwWBQ2bJl+cxXhMLCwjRy5EhFR0dnO25nZ6dRo0ZpyJAhec718/PTqVOnKHQvIOQifyg8AQAAAAAAAAAAAADADG7evKnu3bvrxo0bKlOmjLy9vWU0GhUaGqqUlBQZDAb5+vpq/vz5srGxyTG/OBc7FDRykX8lzB0AAAAAAAAAAAAAAADF0Zo1a3Tjxg01b95ce/fu1bJly7R8+XIFBQXp9ddfl9Fo1IEDBzRq1Kgc2+CiYJGL/KN3GwAAAAAAgAXasmVLgVzPm2++WSDXAwAAAAAoeD/++KOsra31xRdfqFy5cqbjZcuW1bx581SnTh0tWrRIhw8f1ocffqh58+aZMdrnG7nIPwpPAAAAAACAJAodLM2UKVMKZE918vH0eG5YFvJhWciH5SAXloV8WBbyYTnIhWUhH5YhOjpaVapUUdWqVXM97+/vr8zMTH311Vfas2ePKleurHHjxhVxlMUDucg/g9FoNJo7CAAAAAAAYH6enp4FUuhQHPcyLgz/+te/NGfOHCUnJ0uSKleunK/rCQoKKsiwiiWeG5aFfFgW8mE5yIVlIR+WhXxYDnJhWciHZWjatKkqV66sPXv2PHbcxx9/rH//+98yGAz69NNP9dZbb0mS/Pz8dOrUKfJQAMhF/tHxBAAAAAAASJKmTZtWIIUOKBh///vf1aBBAw0dOlRJSUnq06ePhg0bZu6wiiWeG5aFfFgW8mE5yIVlIR+WhXxYDnJhWciHZahcubKuXLmihIQElS9fPs9xn3zyiaKjo3X06FFNnz5d5cuXl6+vbxFG+vwjF/lHxxMAAAAAAGBy+vRpU6HD6NGjKXSwACEhIRo8eLAMBoM2b96s+vXrmzukYonnhmUhH5aFfFgOcmFZyIdlIR+Wg1x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      "text/plain": [
       "<Figure size 2700x1440 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "total_df = products.groupby('department_id')['aisle_id'].nunique()\n",
    "\n",
    "bar_visual(df=total_df, ylabel=\"Total Aisles in department\",\n",
    "           xlabel=\"Department Id\", title=\"Total Product aisle per Department\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8a3aeaeb",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
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