instacart_eda.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "aisles = pd.read_csv('aisles.csv')\n",
    "departments = pd.read_csv('departments.csv')\n",
    "prior = pd.read_csv('order_products__prior.csv')\n",
    "train = pd.read_csv('order_products_train.csv')\n",
    "orders = pd.read_csv('orders.csv')\n",
    "products = pd.read_csv('products.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create merged dataframe of all orders\n",
    "\n",
    "all_orders = pd.concat([prior,train],axis = 0)\n",
    "all_orders = all_orders.merge(products[['product_id','aisle_id','department_id']], how = 'inner', on = 'product_id')\n",
    "all_orders = all_orders.merge(aisles, on = 'aisle_id')\n",
    "all_orders = all_orders.merge(departments, on = 'department_id')\n",
    "all_orders = all_orders.merge(orders[['order_id','user_id']], on = 'order_id')\n",
    "all_orders = all_orders.merge(products[['product_id','product_name']], on = 'product_id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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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",
       "      <th>aisle_id</th>\n",
       "      <th>department_id</th>\n",
       "      <th>aisle</th>\n",
       "      <th>department</th>\n",
       "      <th>user_id</th>\n",
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       "      <td>16</td>\n",
       "      <td>eggs</td>\n",
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       "      <td>58707</td>\n",
       "      <td>Organic Egg Whites</td>\n",
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       "      <th>33819101</th>\n",
       "      <td>1630750</td>\n",
       "      <td>34081</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>94</td>\n",
       "      <td>7</td>\n",
       "      <td>tea</td>\n",
       "      <td>beverages</td>\n",
       "      <td>16884</td>\n",
       "      <td>Peach Black Tea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33819102</th>\n",
       "      <td>3229668</td>\n",
       "      <td>31465</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>5</td>\n",
       "      <td>beers coolers</td>\n",
       "      <td>alcohol</td>\n",
       "      <td>41154</td>\n",
       "      <td>Imported Stout Draught Style</td>\n",
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       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>ice cream ice</td>\n",
       "      <td>frozen</td>\n",
       "      <td>119951</td>\n",
       "      <td>Amaretto Almond Crunch Ice Cream</td>\n",
       "    </tr>\n",
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       "      <td>45509</td>\n",
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       "      <td>Amaretto Almond Crunch Ice Cream</td>\n",
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       "      <td>28</td>\n",
       "      <td>5</td>\n",
       "      <td>red wines</td>\n",
       "      <td>alcohol</td>\n",
       "      <td>189140</td>\n",
       "      <td>Indian Wells Merlot</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>33819106 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          order_id  product_id  add_to_cart_order  reordered  aisle_id  \\\n",
       "0                2       33120                  1          1        86   \n",
       "1               26       33120                  5          0        86   \n",
       "2              120       33120                 13          0        86   \n",
       "3              327       33120                  5          1        86   \n",
       "4              390       33120                 28          1        86   \n",
       "...            ...         ...                ...        ...       ...   \n",
       "33819101   1630750       34081                  2          1        94   \n",
       "33819102   3229668       31465                  9          0        27   \n",
       "33819103   1622849       45509                  1          0        37   \n",
       "33819104   2589416       45509                  4          0        37   \n",
       "33819105   1666202       47680                  1          0        28   \n",
       "\n",
       "          department_id          aisle  department  user_id  \\\n",
       "0                    16           eggs  dairy eggs   202279   \n",
       "1                    16           eggs  dairy eggs   153404   \n",
       "2                    16           eggs  dairy eggs    23750   \n",
       "3                    16           eggs  dairy eggs    58707   \n",
       "4                    16           eggs  dairy eggs   166654   \n",
       "...                 ...            ...         ...      ...   \n",
       "33819101              7            tea   beverages    16884   \n",
       "33819102              5  beers coolers     alcohol    41154   \n",
       "33819103              1  ice cream ice      frozen   119951   \n",
       "33819104              1  ice cream ice      frozen    17724   \n",
       "33819105              5      red wines     alcohol   189140   \n",
       "\n",
       "                              product_name  \n",
       "0                       Organic Egg Whites  \n",
       "1                       Organic Egg Whites  \n",
       "2                       Organic Egg Whites  \n",
       "3                       Organic Egg Whites  \n",
       "4                       Organic Egg Whites  \n",
       "...                                    ...  \n",
       "33819101                   Peach Black Tea  \n",
       "33819102      Imported Stout Draught Style  \n",
       "33819103  Amaretto Almond Crunch Ice Cream  \n",
       "33819104  Amaretto Almond Crunch Ice Cream  \n",
       "33819105               Indian Wells Merlot  \n",
       "\n",
       "[33819106 rows x 10 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_orders"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>product_id</th>\n",
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       "      <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",
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       "      <td>Green Chile Anytime Sauce</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "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": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "products.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order_id</th>\n",
       "      <th>add_to_cart_order</th>\n",
       "      <th>product_id</th>\n",
       "      <th>product_name</th>\n",
       "      <th>aisle_id</th>\n",
       "      <th>aisle</th>\n",
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       "      <th>department</th>\n",
       "      <th>user_id</th>\n",
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       "      <td>86</td>\n",
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       "      <td>16</td>\n",
       "      <td>dairy eggs</td>\n",
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       "      <td>5</td>\n",
       "      <td>33120</td>\n",
       "      <td>Organic Egg Whites</td>\n",
       "      <td>86</td>\n",
       "      <td>eggs</td>\n",
       "      <td>16</td>\n",
       "      <td>dairy eggs</td>\n",
       "      <td>58707</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>390</td>\n",
       "      <td>28</td>\n",
       "      <td>33120</td>\n",
       "      <td>Organic Egg Whites</td>\n",
       "      <td>86</td>\n",
       "      <td>eggs</td>\n",
       "      <td>16</td>\n",
       "      <td>dairy eggs</td>\n",
       "      <td>166654</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   order_id  add_to_cart_order  product_id        product_name  aisle_id  \\\n",
       "0         2                  1       33120  Organic Egg Whites        86   \n",
       "1        26                  5       33120  Organic Egg Whites        86   \n",
       "2       120                 13       33120  Organic Egg Whites        86   \n",
       "3       327                  5       33120  Organic Egg Whites        86   \n",
       "4       390                 28       33120  Organic Egg Whites        86   \n",
       "\n",
       "  aisle  department_id  department  user_id  \n",
       "0  eggs             16  dairy eggs   202279  \n",
       "1  eggs             16  dairy eggs   153404  \n",
       "2  eggs             16  dairy eggs    23750  \n",
       "3  eggs             16  dairy eggs    58707  \n",
       "4  eggs             16  dairy eggs   166654  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_orders = all_orders[['order_id','add_to_cart_order','product_id','product_name','aisle_id','aisle','department_id','department','user_id']]\n",
    "all_orders.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# distribution of orders/custer\n",
    "# distribution of items ordered/custer\n",
    "# most popular aisles\n",
    "# most popular items\n",
    "# how many customers, how many orders, how many items, how many aisles\n",
    "# number of items/order\n",
    "# when do people order"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get handle on size of data- how many customers, products, aisles and orders are we dealing with?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "206209 customers\n",
      "3346083 order\n",
      "134 aisles\n",
      "49685 products\n"
     ]
    }
   ],
   "source": [
    "# size of data stats\n",
    "\n",
    "print(str(len(all_orders.user_id.unique())) +' customers')\n",
    "print(str(len(all_orders.order_id.unique())) +' order')\n",
    "print(str(len(all_orders.aisle_id.unique())) +' aisles')\n",
    "print(str(len(all_orders.product_id.unique())) +' products')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Which aisles and products are popular?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0, 0.5, 'Units Ordered'), Text(0.5, 0, 'Department')]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# most popular departments in terms of units ordered\n",
    "\n",
    "x = sns.barplot(data = all_orders.groupby('department')['add_to_cart_order'].sum().sort_values(ascending = False).reset_index()[0:10], x = 'department', y = 'add_to_cart_order')\n",
    "x.set_xticklabels(x.get_xticklabels(), rotation = 90)\n",
    "x.set(xlabel = 'Department', ylabel = 'Units Ordered')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0, 0.5, 'Department Share'), Text(0.5, 0, 'Department')]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "department_share = all_orders.groupby('department')['add_to_cart_order'].sum().reset_index()\n",
    "department_share['department_share'] = department_share['add_to_cart_order']\n",
    "department_share['department_share'] = department_share['department_share'].apply(lambda x: x / department_share['add_to_cart_order'].sum())\n",
    "\n",
    "x = sns.barplot(data = department_share.sort_values(by = 'department_share',ascending = False), x = 'department', y = 'department_share')\n",
    "x.set_xticklabels(x.get_xticklabels(), rotation = 90)\n",
    "x.set(xlabel = 'Department', ylabel = 'Department Share')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "21"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_orders.department.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0, 0.5, 'Units Ordered'), Text(0.5, 0, 'Aisle')]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# most popular aisles in terms of units ordered\n",
    "\n",
    "x = sns.barplot(data = all_orders.groupby('aisle')['add_to_cart_order'].sum().sort_values(ascending = False).reset_index()[0:10], x = 'aisle', y = 'add_to_cart_order')\n",
    "x.set_xticklabels(x.get_xticklabels(), rotation = 90)\n",
    "x.set(xlabel = 'Aisle', ylabel = 'Units Ordered')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0, 0.5, 'Aisle Share'), Text(0.5, 0, 'Aisle')]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create barchart showing share instead of units for top aisles\n",
    "\n",
    "aisle_share = all_orders.groupby('aisle')['add_to_cart_order'].sum().reset_index()\n",
    "aisle_share['aisle_share'] = aisle_share['add_to_cart_order']\n",
    "aisle_share['aisle_share'] = aisle_share['aisle_share'].apply(lambda x: x / aisle_share['add_to_cart_order'].sum())\n",
    "\n",
    "x = sns.barplot(data = aisle_share.sort_values(by = 'aisle_share',ascending = False)[0:10], x = 'aisle', y = 'aisle_share')\n",
    "x.set_xticklabels(x.get_xticklabels(), rotation = 90)\n",
    "x.set(xlabel = 'Aisle', ylabel = 'Aisle Share')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0, 0.5, 'Units Ordered'), Text(0.5, 0, 'Product Name')]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# most popular items in terms of units ordered\n",
    "\n",
    "x = sns.barplot(data = all_orders.groupby('product_name')['add_to_cart_order'].sum().sort_values(ascending = False).reset_index()[0:10], x = 'product_name', y = 'add_to_cart_order')\n",
    "x.set_xticklabels(x.get_xticklabels(), rotation = 90)\n",
    "x.set(xlabel = 'Product Name', ylabel = 'Units Ordered')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0, 0.5, 'Unit Share'), Text(0.5, 0, 'Product Name')]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create barchart showing share instead of units for top products\n",
    "\n",
    "product_share = all_orders.groupby('product_name')['add_to_cart_order'].sum().reset_index()\n",
    "product_share['product_share'] = product_share['add_to_cart_order']\n",
    "product_share['product_share'] = product_share['product_share'].apply(lambda x: x / product_share['add_to_cart_order'].sum())\n",
    "\n",
    "x = sns.barplot(data = product_share.sort_values(by = 'product_share',ascending = False)[0:30], x = 'product_name', y = 'product_share')\n",
    "x.set_xticklabels(x.get_xticklabels(), rotation = 90)\n",
    "x.set(xlabel = 'Product Name', ylabel = 'Unit Share')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "product_name\n",
       "Banana                                                       2405664\n",
       "Bag of Organic Bananas                                       2007396\n",
       "Organic Strawberries                                         2005999\n",
       "Organic Baby Spinach                                         1870623\n",
       "Organic Hass Avocado                                         1497887\n",
       "Large Lemon                                                  1279007\n",
       "Limes                                                        1261016\n",
       "Organic Avocado                                              1187054\n",
       "Strawberries                                                 1065577\n",
       "Organic Raspberries                                          1031044\n",
       "Organic Yellow Onion                                         1004141\n",
       "Organic Garlic                                               1001654\n",
       "Organic Zucchini                                              986367\n",
       "Organic Blueberries                                           862073\n",
       "Organic Grape Tomatoes                                        834206\n",
       "Organic Whole Milk                                            777566\n",
       "Cucumber Kirby                                                763565\n",
       "Organic Lemon                                                 736962\n",
       "Organic Cucumber                                              733572\n",
       "Seedless Red Grapes                                           712691\n",
       "Organic Baby Carrots                                          699817\n",
       "Fresh Cauliflower                                             678967\n",
       "Apple Honeycrisp Organic                                      669898\n",
       "Organic Cilantro                                              669856\n",
       "Organic Red Onion                                             665058\n",
       "Organic Fuji Apple                                            652080\n",
       "Carrots                                                       650092\n",
       "Organic Small Bunch Celery                                    649671\n",
       "Organic Baby Arugula                                          643474\n",
       "Yellow Onions                                                 633608\n",
       "                                                              ...   \n",
       "Sweet Baguette                                                 49715\n",
       "Free & Clear Natural Laundry Detergent For Sensitive Skin      49653\n",
       "Organic Raw Multigreen Kobmbucha                               49646\n",
       "Crunchy Peanut Butter                                          49594\n",
       "Spinach Pizza                                                  49542\n",
       "Whole Organic Omega 3 Milk                                     49482\n",
       "Sweet Cream Salted Butter                                      49471\n",
       "Enlightened Organic Raw Kombucha                               49431\n",
       "Nectarines                                                     49322\n",
       "Sliced Baby Bella Mushrooms                                    49300\n",
       "Organic Red Bartlett Pear                                      49145\n",
       "Mild Salsa Roja                                                49061\n",
       "Peanut Butter Cookie                                           49021\n",
       "GOLEAN Crunch! Cereal                                          48978\n",
       "Baked Beans                                                    48846\n",
       "Organic Greek Plain Nonfat Yogurt                              48820\n",
       "1% Low Fat Milk                                                48810\n",
       "Organic Whole Milk Strawberry Beet Berry Yogurt Pouch          48779\n",
       "Smartwater                                                     48760\n",
       "Original Cereal                                                48758\n",
       "Organic Raspberry Lowfat Yogurt                                48651\n",
       "Cream Top Smooth & Creamy Vanilla Yogurt                       48619\n",
       "Mandarins Bag                                                  48591\n",
       "Apples                                                         48541\n",
       "Organic Bunny Fruit Tropical Treat Fruit Snacks                48453\n",
       "Heirloom Tomato                                                48438\n",
       "Minced Garlic                                                  48196\n",
       "Steel Cut Oats                                                 48036\n",
       "Original Wheat Thins                                           48030\n",
       "Dairy Free Mozarella Style Shreds                              48001\n",
       "Name: add_to_cart_order, Length: 1000, dtype: int64"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('display.min_rows',10000)\n",
    "all_orders.groupby('product_name')['add_to_cart_order'].sum().sort_values(ascending = False)[0:1000]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "User summary statistics- how much, how often, when do people order?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    206209.000000\n",
       "mean         16.226658\n",
       "std          16.662238\n",
       "min           3.000000\n",
       "25%           6.000000\n",
       "50%          10.000000\n",
       "75%          20.000000\n",
       "max         100.000000\n",
       "Name: order_id, dtype: float64"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# summary of number of orders by user\n",
    "\n",
    "all_orders.groupby('user_id')['order_id'].nunique().describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Orders/User')]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# distribution plot of orders/user\n",
    "\n",
    "x = sns.distplot(all_orders.groupby('user_id')['order_id'].nunique())\n",
    "x.set(xlabel = 'Orders/User')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    206209.000000\n",
       "mean       1372.342643\n",
       "std        2489.390476\n",
       "min           3.000000\n",
       "25%         203.000000\n",
       "50%         568.000000\n",
       "75%        1483.000000\n",
       "max      138990.000000\n",
       "Name: add_to_cart_order, dtype: float64"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# summary of units ordered/customer over the year\n",
    "\n",
    "all_orders.groupby('user_id')['add_to_cart_order'].sum().describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Units Ordered/User')]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# distplot of number of units ordered/customer ordered over the year\n",
    "\n",
    "x = sns.distplot(all_orders.groupby('user_id')['add_to_cart_order'].sum())\n",
    "x.set(xlabel = 'Units Ordered/User')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    3.346083e+06\n",
       "mean     8.457334e+01\n",
       "std      1.355298e+02\n",
       "min      1.000000e+00\n",
       "25%      1.500000e+01\n",
       "50%      3.600000e+01\n",
       "75%      1.050000e+02\n",
       "max      1.058500e+04\n",
       "Name: add_to_cart_order, dtype: float64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# summary of order size\n",
    "\n",
    "all_orders.groupby('order_id')['add_to_cart_order'].sum().describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Units/Order')]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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sjYhI5QvTWUuzgDnAut7eTNKUitkPAE/Uq2tmZoOvqa8KEdEj6UZgDdAI3BERHZJuAsoR0QbcDtwlqZPsm8LC1LZD0ipgE9AD3BARhwEkfRu4BDhTUhfwNxFxO/AFSfPIdjk9A/zpYA7YzMx6p+yD/YmtVCpFuVweUNu727fXXXbdhTMGukpmZiOepA0RUaou95XPZmaW42AwM7McB4OZmeU4GMzMLMfBYGZmOQ4GMzPLcTCYmVmOg8HMzHIcDGZmluNgMDOzHAeDmZnlOBjMzCzHwWBmZjkOBjMzy3EwmJlZTqFgkLRA0hZJnZKW1FjeLOmetLxd0syKZUtT+RZJV1SU3yHpeUlPVPU1SdIDkp5KPycOfHhmZtZffQaDpEbgZuBKYC5wraS5VdUWA3siYjawHFiW2s4le5rb+cAC4JbUH8CdqazaEuChiJgDPJTmzcxsiBT5xjAf6IyIrRFxEFgJtFbVaQVWpOnVwGWSlMpXRsSBiNgGdKb+iIgfkT0GtFplXyuAq/sxHjMzO0ZFgmEqsKNiviuV1awTET3APmBywbbVzoqInamvncAba1WSdL2ksqRyd3d3gWGYmVkRRYJBNcqqHxRdr06RtgMSEbdFRCkiSi0tLYPRpZmZUSwYuoDpFfPTgOfq1ZHUBIwn201UpG21X0makvqaAjxfYB3NzGyQFAmG9cAcSbMkjSU7mNxWVacNWJSmrwHWRkSk8oXprKVZwBxgXR/vV9nXIuDeAutoZmaDpM9gSMcMbgTWAJuBVRHRIekmSe9P1W4HJkvqBD5BOpMoIjqAVcAm4AfADRFxGEDSt4GfAW+R1CVpcerr74HLJT0FXJ7mzcxsiCj7YH9iK5VKUS6XB9T27vbtdZddd+GMga6SmdmIJ2lDRJSqy33ls5mZ5TgYzMwsx8FgZmY5DgYzM8txMJiZWY6DwczMchwMZmaW42AwM7McB4OZmeU4GMzMLMfB0IuT4XYhZmb95WCoY/POF3jHZ/+Zfa8cGu5VMTMbUg6GOjqe28cLr/bQ+fz+4V4VM7Mh5WCoY+uulwDo2vPyMK+JmdnQcjDUsOelg+x9OduFtP3XDgYzG10KBYOkBZK2SOqUtKTG8mZJ96Tl7ZJmVixbmsq3SLqirz4l3Slpm6SN6TXv2IbYf1t3ZbuPGhvE9t0OBjMbXZr6qiCpEbiZ7GlqXcB6SW0Rsami2mJgT0TMlrQQWAZ8SNJcskeBng+cDTwo6bzUprc+/yIiVg/C+AZka/dLnDa2kbe+6Qx2eFeSmY0yRb4xzAc6I2JrRBwEVgKtVXVagRVpejVwmSSl8pURcSAitgGdqb8ifQ6LiGDbrpeYdeY43jx5HDt2vzLcq2RmNqSKBMNUYEfFfFcqq1knPSN6HzC5l7Z99fl5SY9LWi6pucA6Dpo9Lx9i7yuHOKfldKZPOo2d+17hYM+RoVwFM7NhVSQYVKOs+sqvenX6Ww6wFHgr8G5gEvDJmislXS+pLKnc3d1dq8qAbEvHF845cxwzJp3GkYDn9vpbg5mNHkWCoQuYXjE/DXiuXh1JTcB4YHcvbev2GRE7I3MA+CbZbqfXiYjbIqIUEaWWlpYCwyhma/dLjBvbyBvPaGb6xFMBfADazEaVIsGwHpgjaZaksWQHk9uq6rQBi9L0NcDayO4n0QYsTGctzQLmAOt661PSlPRTwNXAE8cywP56du8rTJ90GpKYMfk0AB+ANrNRpc+zkiKiR9KNwBqgEbgjIjok3QSUI6INuB24S1In2TeFhalth6RVwCagB7ghIg4D1OozveW3JLWQ7W7aCHxk8IbbtxdezY4vAJx1ximMbWzwNwYzG1X6DAaAiLgfuL+q7K8rpl8FPlin7eeBzxfpM5VfWmSdjocDhw7z6qEjTDh1DAANDWLaxFPZ4WAws1HEVz5XOHrDvDekYACYPuk0n7JqZqOKg6HCvlezYBifC4ZTvSvJzEYVB0OFfS+/PhhmTDqNfa8c8u23zWzUcDBUOPqN4Q2nvnboZfrEdGaSvzWY2ShR6ODzaLHv5UOc3txEU0OWl3e3b//NxW13t2/nbVPHA3DdhTOGbR3NzI43f2Oo8MKrh3K7kQAmjRsLwK79B4ZjlczMhpyDocLel18fDKeMaWT6xFP52dZf+55JZjYqOBgqvPDqodypqkdd9fYpvPhqDz96avDuyWRmNlI5GJLqi9sqvXnyON4+dTw/fqrbZyeZ2UnPwZDUurit0oLz30QE/HPHL4dytczMhpyDIal1cVuliePGcvG5Z/Lojr083rV3KFfNzGxIORiSWhe3VbvkLS2MG9vI5+7bTHbzWDOzk4+DIal1cVu1U8Y08r65Z7Humd2s8S4lMztJORiS6ovb6im9eRJvOesM/vb+J3nl4OEhWjszs6HjK5+TWhe31dLYIC6ePZlv/vQZLvq7h7j8t85i3owJNEi+ItrMTgr+xpDUuritnjlvPIM/ee8sTm9uYvUjXXx1bSdbfvmijzuY2UmhUDBIWiBpi6ROSUtqLG+WdE9a3i5pZsWypal8i6Qr+uozPe6zXdJTqc+xxzbE+u7d+CzffaSLgz1H6l7cVs85LafzZ5ecy8J3T+fg4SOs+Nkz/Mdb/4W/vX8zq8o7eLp7v4PCzE5Ife5KktQI3AxcDnQB6yW1RcSmimqLgT0RMVvSQmAZ8CFJc8ke83k+cDbwoKTzUpt6fS4DlkfESklfS33fOhiDrda15xUe+bc9PLPrpboXt/WmQeLfTZvA3LPfwLptu3m6+yXu/JdnfnPrjDe94RTePm08ZzQ3cVpzI+Oamxg3tin9TPPNjZw2tonTm5s4bWwjp4xppEFCAil7D6X3apBA0HC0vOKnUK48e2S2mY0EPYezvwlNjdln8cNHgpcP9jCmsYHmpqzsxQM9vPhqD6c3N/GGU5o40HOErj0vs/flQ0yZcCpnndFMZ/d+ftr5a/a/2sOF50zighkTaG5qHPT1LXKMYT7QGRFbASStBFrJnuN8VCvwmTS9Gviqsr9MrcDKiDgAbEvPhJ6f6r2uT0mbgUuB61KdFanf4xIMN/zubPa8dJBV5R1A76eq9qapoYGLzz2Ti889kyMR/Hr/QbbteonO7v083rWXgz1HONBzhIM9R+g5MnTfIhpSQDSk4KirjwzpbXFv+dPrew4jZ+bADPQLcND/hoP5ZbvW9q7+t1ldJyJb7+wnEK+N42hZxGsjO/rh7eiHsqPzAAcPH+Fw+n/f1CAaG8SBivuuNTZk9Sv/NjQ26DdtKtfx6O9FgngQThnTwK1/9C5+9y1vLP4LKaBIMEwFdlTMdwEX1qsTET2S9gGTU/m/VrWdmqZr9TkZ2BsRPTXq50i6Hrg+ze6XtKXAWGo5E9gF8IUBdnCC+M04T2KjYYwwOsbpMRZ06eeOqfmbaxUWCYZan6+q87xenXrltY5t9Fb/9YURtwG31VrWH5LKEVE61n5GutEwztEwRhgd4/QYh1eRg89dwPSK+WnAc/XqSGoCxgO7e2lbr3wXMCH1Ue+9zMzsOCoSDOuBOelsobFkB5Pbquq0AYvS9DXA2shOyWkDFqazlmYBc4B19fpMbR5OfZD6vHfgwzMzs/7qc1dSOmZwI7AGaATuiIgOSTcB5YhoA24H7koHl3eT/aEn1VtFdqC6B7ghIg4D1OozveUngZWSPgc8mvo+no55d9QJYjSMczSMEUbHOD3GYSSfa29mZpV85bOZmeU4GMzMLGdUB0Nft/oYySRNl/SwpM2SOiR9NJVPkvRAuqXIA5ImpnJJ+koa6+OS3lnR16JU/ylJi+q953CR1CjpUUn3pfmat00ZyK1ZRgpJEyStlvRk2qbvOdm2paSPp3+rT0j6tqRTToZtKekOSc9LeqKibNC2naR3Sfp5avMVaQgu0YyIUfkiO+j9NHAOMBZ4DJg73OvVj/WfArwzTZ8B/AKYS3ad3pJUvgRYlqavAr5Pdq3IRUB7Kp8EbE0/J6bpicM9vqqxfgK4G7gvza8CFqbprwF/lqb/K/C1NL0QuCdNz03btxmYlbZ743CPq2qMK4A/SdNjgQkn07Yku1B1G3BqxTb8TyfDtgT+PfBO4ImKskHbdmRncr4ntfk+cOVxH9Nw/4MZxo35HmBNxfxSYOlwr9cxjOdesntPbQGmpLIpwJY0/Y/AtRX1t6Tl1wL/WFGeqzfcL7JrWR4iu1XKfek/xy6gqXo7kp3l9p403ZTqqXrbVtYbCS/gDemPpqrKT5ptyWt3R5iUts19wBUny7YEZlYFw6Bsu7TsyYryXL3j9RrNu5Jq3eqj5u03Rrr0NfsCoB04KyJ2AqSfR2+iUm+8I/338GXgL4GjN5fp7bYpuVuzAJW3ZhnJYzwH6Aa+mXaZfUPSOE6ibRkRzwJfBLYDO8m2zQZOvm151GBtu6lpurr8uBrNwVD49hsjmaTTge8CH4uIF3qrWqOsX7chGWqS/gB4PiI2VBbXqBp9LBuxY0yayHZF3BoRFwAvke1+qOeEG2fax95KtvvnbGAccGWNqif6tuxLf8c1LOMdzcFQ5FYfI5qkMWSh8K2I+F4q/pWkKWn5FOD5VN7f25OMBL8NvF/SM8BKst1JX6b+bVP6e2uWkaIL6IqI9jS/miwoTqZt+T5gW0R0R8Qh4HvAxZx82/Kowdp2XWm6uvy4Gs3BUORWHyNWOjPhdmBzRHypYlHl7UkqbynSBnw4nRVxEbAvfcVdA/yepInpU93vpbJhFxFLI2JaRMwk2z5rI+IPqX/blP7emmVEiIhfAjskvSUVXUZ2t4CTZluS7UK6SNJp6d/u0TGeVNuywqBsu7TsRUkXpd/bhxmK2wQN90Gb4XyRnSHwC7IzGz413OvTz3V/L9lXyseBjel1Fdl+2IeAp9LPSam+yB6O9DTwc6BU0dd/ATrT6z8P99jqjPcSXjsr6RyyPwadwHeA5lR+SprvTMvPqWj/qTT2LQzBWR0DGN88oJy25/8hOzPlpNqWwGeBJ4EngLvIziw64bcl8G2y4yaHyD7hLx7MbQeU0u/saeCrVJ2kcDxeviWGmZnljOZdSWZmVoODwczMchwMZmaW42AwM7McB4OZmeU4GGxUkTSz8i6Yqewzkv57L21Kkr6Spi+RdHHB99ogaayk8ZL+SdLT6fVPksYX7KPXdTM7HhwMZn2IiHJE/Lc0ewnZFbu9SvevejYiDpJdiLg1Is6NiHPJbpj3jRptGo91XSuuIjYbMAeDWSLph5KWSVon6ReSfieVXyLpvvTH/iPAxyVtlPQ7kj6o7PkCj0n6UUV3VwI/kDQbeBfwPyqW3QSUJJ2b+n5Y0t1kFzwh6VPpWQMPAkevhibV/0H6JvJjSW9N5XdK+pKkh4Flx+0XZKOGP12Y5TVFxHxJVwF/Q3aPHwAi4hlJXwP2R8QXAST9HLgiIp6VNKGinwXAx4G3ARsj4nBFP4clbQTOB14A5gNvi4htkt5FdvuPC8j+fz5CdhdSyB4e/5GIeErShcAtZPePAjgPeF/l+5gNlIPBRpt6l/ofLT96M8INZPfY78tPgTslrTraNt17a1pEbJX09jrvqYrydRGxLU3/DvC/I+Ll1Fdb+nk62S6s71Q8wKu5or/vOBRssDgYbLT5Ndl9iCpNItvvD3Ag/TxMgf8fEfGR9On994GNkuaR3ffoJ6lKB3CBpIaIOAIgqQF4B7CZ7G6ZL1V3W+OtGsieXTCvzqpU92E2YD7GYKNKROwHdkq6DLJn85Lt9vlJrw1f8yLZo1RJ7c+NiPaI+Guyp4xNT/19P71fJ/Ao8OmKPj4NPJKWVfsR8AFJp0o6A/gPqZ8XgG2SPpjeV5LeUXCdzfrFwWCj0YeBT6f9/GuBz0bE0wXb/l+yP9wb08Hp/6nsQe1PkP1Rf4zszKX/V9FmMXCesoe5P012PGBxrc4j4hHgHrK75X4X+HHF4j8EFkt6jOybSGvBdTbrF99d1WwQSZoGfD0iaj2dzOyE4GAwM7Mc70oyM7McB4OZmeU4GMzMLMfBYGZmOQ4GMzPLcTCYmVnO/wfkpiwUp19ZyQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# distplot of number of units/order\n",
    "\n",
    "x = sns.distplot(all_orders.groupby('order_id')['add_to_cart_order'].sum())\n",
    "x.set(xlabel = 'Units/Order')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Units/Order')]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# cutoff previous distplot 500 units\n",
    "\n",
    "order_size = all_orders.groupby('order_id')['add_to_cart_order'].sum().reset_index()\n",
    "\n",
    "x = sns.distplot(order_size[order_size['add_to_cart_order'] < 500]['add_to_cart_order'], kde = False)\n",
    "x.set(xlabel = 'Units/Order')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    206209.000000\n",
       "mean         15.448686\n",
       "std           6.915575\n",
       "min           0.000000\n",
       "25%           9.814815\n",
       "50%          15.000000\n",
       "75%          20.625000\n",
       "max          30.000000\n",
       "Name: days_since_prior_order, dtype: float64"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# summary statistics for average time between orders by user\n",
    "\n",
    "orders.groupby('user_id')['days_since_prior_order'].mean().describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Average Days Between Orders By User')]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# distplot for time between orders\n",
    "\n",
    "x = sns.distplot(orders.groupby('user_id')['days_since_prior_order'].mean())\n",
    "x.set(xlabel = 'Average Days Between Orders By User')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}