E-Commerce analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7308e100",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "# 1) Reading Feather Data\n",
    "        Feather is a binary file format that is used for storing data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d1fa579",
   "metadata": {},
   "source": [
    "        Feather is a fast, lightweight, and easy-to-use binary file format for storing data \n",
    "        It shows high I/O speed, doesn’t take too much memory on the disk and doesn’t need any unpacking \n",
    "        when loaded back into RAM.\n",
    "        \n",
    "        Feather has max I/O speed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3a8f3d39",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a6501f1d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# In order to work with feather files , install pyarrow package"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e777aee0",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install pyarrow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "82b68b77",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data = pd.read_feather(r\"Z:\\4.. Sales Analysis/Sales_data.ftr\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "815b6e3a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\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</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>176558</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/19/19 08:46</td>\n",
       "      <td>917 1st St, Dallas, TX 75001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>176559</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>04/07/19 22:30</td>\n",
       "      <td>682 Chestnut St, Boston, MA 02215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>176561</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/30/19 09:27</td>\n",
       "      <td>333 8th St, Los Angeles, CA 90001</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order ID                     Product Quantity Ordered Price Each  \\\n",
       "0   176558        USB-C Charging Cable                2      11.95   \n",
       "1     None                        None             None       None   \n",
       "2   176559  Bose SoundSport Headphones                1      99.99   \n",
       "3   176560                Google Phone                1        600   \n",
       "4   176560            Wired Headphones                1      11.99   \n",
       "5   176561            Wired Headphones                1      11.99   \n",
       "\n",
       "       Order Date                      Purchase Address  \n",
       "0  04/19/19 08:46          917 1st St, Dallas, TX 75001  \n",
       "1            None                                  None  \n",
       "2  04/07/19 22:30     682 Chestnut St, Boston, MA 02215  \n",
       "3  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001  \n",
       "4  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001  \n",
       "5  04/30/19 09:27     333 8th St, Los Angeles, CA 90001  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.head(6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b2cdd710",
   "metadata": {},
   "outputs": [],
   "source": [
    "'''\n",
    "\n",
    "The data contains hundreds of thousands of electronics store purchases broken down by month, product type, cost ,\n",
    "purchase address, etc\n",
    "\n",
    "'''"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3458ab5",
   "metadata": {},
   "source": [
    "##### Data cleaning and formatting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1d6007a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Order ID            545\n",
       "Product             545\n",
       "Quantity Ordered    545\n",
       "Price Each          545\n",
       "Order Date          545\n",
       "Purchase Address    545\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.isnull().sum() ## checking out total missing values we have "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "dcda6b79",
   "metadata": {},
   "outputs": [],
   "source": [
    "### since there 545 observations where entire row have missing value , u can drop these 545 rows..\n",
    "\n",
    "all_data = all_data.dropna(how=\"all\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5c7c94bd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Order ID            0\n",
       "Product             0\n",
       "Quantity Ordered    0\n",
       "Price Each          0\n",
       "Order Date          0\n",
       "Purchase Address    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "11141d41",
   "metadata": {},
   "outputs": [],
   "source": [
    "### check whether u have duplicate rows or not"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a8d6bf37",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         False\n",
       "2         False\n",
       "3         False\n",
       "4         False\n",
       "5         False\n",
       "          ...  \n",
       "186845    False\n",
       "186846    False\n",
       "186847    False\n",
       "186848    False\n",
       "186849    False\n",
       "Length: 186305, dtype: bool"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.duplicated()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5565f015",
   "metadata": {},
   "outputs": [
    {
     "data": {
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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</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>176585</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>04/07/19 11:31</td>\n",
       "      <td>823 Highland St, Boston, MA 02215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1149</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1155</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1302</th>\n",
       "      <td>177795</td>\n",
       "      <td>Apple Airpods Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>150</td>\n",
       "      <td>04/27/19 19:45</td>\n",
       "      <td>740 14th St, Seattle, WA 98101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1684</th>\n",
       "      <td>178158</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/28/19 21:13</td>\n",
       "      <td>197 Center St, San Francisco, CA 94016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186563</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186632</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186738</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186782</th>\n",
       "      <td>259296</td>\n",
       "      <td>Apple Airpods Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>150</td>\n",
       "      <td>09/28/19 16:48</td>\n",
       "      <td>894 6th St, Dallas, TX 75001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186785</th>\n",
       "      <td>259297</td>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>14.95</td>\n",
       "      <td>09/15/19 18:54</td>\n",
       "      <td>138 Main St, Boston, MA 02215</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>618 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Order ID                     Product  Quantity Ordered  Price Each  \\\n",
       "31        176585  Bose SoundSport Headphones                 1       99.99   \n",
       "1149    Order ID                     Product  Quantity Ordered  Price Each   \n",
       "1155    Order ID                     Product  Quantity Ordered  Price Each   \n",
       "1302      177795    Apple Airpods Headphones                 1         150   \n",
       "1684      178158        USB-C Charging Cable                 1       11.95   \n",
       "...          ...                         ...               ...         ...   \n",
       "186563  Order ID                     Product  Quantity Ordered  Price Each   \n",
       "186632  Order ID                     Product  Quantity Ordered  Price Each   \n",
       "186738  Order ID                     Product  Quantity Ordered  Price Each   \n",
       "186782    259296    Apple Airpods Headphones                 1         150   \n",
       "186785    259297    Lightning Charging Cable                 1       14.95   \n",
       "\n",
       "            Order Date                        Purchase Address  \n",
       "31      04/07/19 11:31       823 Highland St, Boston, MA 02215  \n",
       "1149        Order Date                        Purchase Address  \n",
       "1155        Order Date                        Purchase Address  \n",
       "1302    04/27/19 19:45          740 14th St, Seattle, WA 98101  \n",
       "1684    04/28/19 21:13  197 Center St, San Francisco, CA 94016  \n",
       "...                ...                                     ...  \n",
       "186563      Order Date                        Purchase Address  \n",
       "186632      Order Date                        Purchase Address  \n",
       "186738      Order Date                        Purchase Address  \n",
       "186782  09/28/19 16:48            894 6th St, Dallas, TX 75001  \n",
       "186785  09/15/19 18:54           138 Main St, Boston, MA 02215  \n",
       "\n",
       "[618 rows x 6 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data[all_data.duplicated()] ## total 618 duplicate rows .."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "abb49b29",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data = all_data.drop_duplicates() ## Dropping all the duplicate rows .."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "055333da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(185687, 6)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7739b95e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
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      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Order ID, Product, Quantity Ordered, Price Each, Order Date, Purchase Address]\n",
       "Index: []"
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     "execution_count": 12,
     "metadata": {},
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   "source": [
    "all_data[all_data.duplicated()]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24649dd5",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "# 2) Which is the best month for sales?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2208164e",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>176558</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/19/19 08:46</td>\n",
       "      <td>917 1st St, Dallas, TX 75001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>176559</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>04/07/19 22:30</td>\n",
       "      <td>682 Chestnut St, Boston, MA 02215</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "</div>"
      ],
      "text/plain": [
       "  Order ID                     Product Quantity Ordered Price Each  \\\n",
       "0   176558        USB-C Charging Cable                2      11.95   \n",
       "2   176559  Bose SoundSport Headphones                1      99.99   \n",
       "\n",
       "       Order Date                   Purchase Address  \n",
       "0  04/19/19 08:46       917 1st St, Dallas, TX 75001  \n",
       "2  04/07/19 22:30  682 Chestnut St, Boston, MA 02215  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68f7dd94",
   "metadata": {},
   "source": [
    "##### add month col"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "98684e66",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'04/19/19 08:46'"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data['Order Date'][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "8586e677",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'04/19/19'"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'04/19/19 08:46'.split(' ')[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "08377af7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'04'"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'04/19/19 08:46'.split(' ')[0].split('/')[0] ## extracting month from \"Order Date\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "0027cb06",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'04'"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data['Order Date'][0].split('/')[0] ## extracting month from \"Order Date\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "48b521a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "def return_month(x):\n",
    "    return x.split('/')[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "abf5df48",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data['Month'] = all_data['Order Date'].apply(return_month) ## applying return_month function on top of \"Order Date\" feature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "31928524",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Order ID            object\n",
       "Product             object\n",
       "Quantity Ordered    object\n",
       "Price Each          object\n",
       "Order Date          object\n",
       "Purchase Address    object\n",
       "Month               object\n",
       "dtype: object"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "cb10525e",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data['Month'].astype(int) ## convert dat-type into integer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "c1435e89",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['04', '05', 'Order Date', '08', '09', '12', '01', '02', '03', '07',\n",
       "       '06', '11', '10'], dtype=object)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data['Month'].unique() ## checking unique months "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "61006293",
   "metadata": {},
   "outputs": [],
   "source": [
    "filter1 = all_data['Month'] == 'Order Date'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "2bb44b6a",
   "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</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>176558</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/19/19 08:46</td>\n",
       "      <td>917 1st St, Dallas, TX 75001</td>\n",
       "      <td>04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>176559</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>04/07/19 22:30</td>\n",
       "      <td>682 Chestnut St, Boston, MA 02215</td>\n",
       "      <td>04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>176561</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/30/19 09:27</td>\n",
       "      <td>333 8th St, Los Angeles, CA 90001</td>\n",
       "      <td>04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186845</th>\n",
       "      <td>259353</td>\n",
       "      <td>AAA Batteries (4-pack)</td>\n",
       "      <td>3</td>\n",
       "      <td>2.99</td>\n",
       "      <td>09/17/19 20:56</td>\n",
       "      <td>840 Highland St, Los Angeles, CA 90001</td>\n",
       "      <td>09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186846</th>\n",
       "      <td>259354</td>\n",
       "      <td>iPhone</td>\n",
       "      <td>1</td>\n",
       "      <td>700</td>\n",
       "      <td>09/01/19 16:00</td>\n",
       "      <td>216 Dogwood St, San Francisco, CA 94016</td>\n",
       "      <td>09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186847</th>\n",
       "      <td>259355</td>\n",
       "      <td>iPhone</td>\n",
       "      <td>1</td>\n",
       "      <td>700</td>\n",
       "      <td>09/23/19 07:39</td>\n",
       "      <td>220 12th St, San Francisco, CA 94016</td>\n",
       "      <td>09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186848</th>\n",
       "      <td>259356</td>\n",
       "      <td>34in Ultrawide Monitor</td>\n",
       "      <td>1</td>\n",
       "      <td>379.99</td>\n",
       "      <td>09/19/19 17:30</td>\n",
       "      <td>511 Forest St, San Francisco, CA 94016</td>\n",
       "      <td>09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186849</th>\n",
       "      <td>259357</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>09/30/19 00:18</td>\n",
       "      <td>250 Meadow St, San Francisco, CA 94016</td>\n",
       "      <td>09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>185686 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Order ID                     Product Quantity Ordered Price Each  \\\n",
       "0        176558        USB-C Charging Cable                2      11.95   \n",
       "2        176559  Bose SoundSport Headphones                1      99.99   \n",
       "3        176560                Google Phone                1        600   \n",
       "4        176560            Wired Headphones                1      11.99   \n",
       "5        176561            Wired Headphones                1      11.99   \n",
       "...         ...                         ...              ...        ...   \n",
       "186845   259353      AAA Batteries (4-pack)                3       2.99   \n",
       "186846   259354                      iPhone                1        700   \n",
       "186847   259355                      iPhone                1        700   \n",
       "186848   259356      34in Ultrawide Monitor                1     379.99   \n",
       "186849   259357        USB-C Charging Cable                1      11.95   \n",
       "\n",
       "            Order Date                         Purchase Address Month  \n",
       "0       04/19/19 08:46             917 1st St, Dallas, TX 75001    04  \n",
       "2       04/07/19 22:30        682 Chestnut St, Boston, MA 02215    04  \n",
       "3       04/12/19 14:38     669 Spruce St, Los Angeles, CA 90001    04  \n",
       "4       04/12/19 14:38     669 Spruce St, Los Angeles, CA 90001    04  \n",
       "5       04/30/19 09:27        333 8th St, Los Angeles, CA 90001    04  \n",
       "...                ...                                      ...   ...  \n",
       "186845  09/17/19 20:56   840 Highland St, Los Angeles, CA 90001    09  \n",
       "186846  09/01/19 16:00  216 Dogwood St, San Francisco, CA 94016    09  \n",
       "186847  09/23/19 07:39     220 12th St, San Francisco, CA 94016    09  \n",
       "186848  09/19/19 17:30   511 Forest St, San Francisco, CA 94016    09  \n",
       "186849  09/30/19 00:18   250 Meadow St, San Francisco, CA 94016    09  \n",
       "\n",
       "[185686 rows x 7 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data[~filter1] ## All data not including 'order date' as month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "74945550",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data = all_data[~filter1] ## excluding all those rows which have entry as \"Order Date\" in month feature .."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "bd30394b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(185686, 7)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "8bb6aca4",
   "metadata": {},
   "outputs": [],
   "source": [
    "## use warnings package to get rid of any warnings ..\n",
    "\n",
    "import warnings\n",
    "from warnings import filterwarnings\n",
    "filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "4ff8a85c",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data['Month'] = all_data['Month'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "03d8b22a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Order ID            object\n",
       "Product             object\n",
       "Quantity Ordered    object\n",
       "Price Each          object\n",
       "Order Date          object\n",
       "Purchase Address    object\n",
       "Month                int32\n",
       "dtype: object"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "c079bfe9",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data['Quantity Ordered'] = all_data['Quantity Ordered'].astype(int)\n",
    "all_data['Price Each'] = all_data['Price Each'].astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "18622627",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Order ID             object\n",
       "Product              object\n",
       "Quantity Ordered      int32\n",
       "Price Each          float64\n",
       "Order Date           object\n",
       "Purchase Address     object\n",
       "Month                 int32\n",
       "dtype: object"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "98334167",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data['sales'] = all_data['Quantity Ordered'] * all_data['Price Each'] ## creating sales feature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "01d6a063",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0          23.90\n",
       "2          99.99\n",
       "3         600.00\n",
       "4          11.99\n",
       "5          11.99\n",
       "           ...  \n",
       "186845      8.97\n",
       "186846    700.00\n",
       "186847    700.00\n",
       "186848    379.99\n",
       "186849     11.95\n",
       "Name: sales, Length: 185686, dtype: float64"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data['sales']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "62c6aae2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Month\n",
       "1     1821413.16\n",
       "2     2200078.08\n",
       "3     2804973.35\n",
       "4     3389217.98\n",
       "5     3150616.23\n",
       "6     2576280.15\n",
       "7     2646461.32\n",
       "8     2241083.37\n",
       "9     2094465.69\n",
       "10    3734777.86\n",
       "11    3197875.05\n",
       "12    4608295.70\n",
       "Name: sales, dtype: float64"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.groupby(['Month'])['sales'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "5f8e4fb8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Month'>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "all_data.groupby(['Month'])['sales'].sum().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9e303494",
   "metadata": {},
   "outputs": [],
   "source": [
    "'''\n",
    "\n",
    "->> y-axis scale : 1e^6\n",
    "\n",
    "E stands for exponential , in short it is *10^\n",
    "\n",
    "So, 1e6 or 1e^6 OR 1 exponent 6 is the same as 1*10^6 which is same as 1,000,000\n",
    "\n",
    "\n",
    "Inference : December is the best month of sales.\n",
    "\n",
    "'''"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20846e45",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "# 3) Which city has max orders? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "74289875",
   "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</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>176558</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/19/19 08:46</td>\n",
       "      <td>917 1st St, Dallas, TX 75001</td>\n",
       "      <td>4</td>\n",
       "      <td>23.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>176559</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>04/07/19 22:30</td>\n",
       "      <td>682 Chestnut St, Boston, MA 02215</td>\n",
       "      <td>4</td>\n",
       "      <td>99.99</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order ID                     Product  Quantity Ordered  Price Each  \\\n",
       "0   176558        USB-C Charging Cable                 2       11.95   \n",
       "2   176559  Bose SoundSport Headphones                 1       99.99   \n",
       "\n",
       "       Order Date                   Purchase Address  Month  sales  \n",
       "0  04/19/19 08:46       917 1st St, Dallas, TX 75001      4  23.90  \n",
       "2  04/07/19 22:30  682 Chestnut St, Boston, MA 02215      4  99.99  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "65e5ad93",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'917 1st St, Dallas, TX 75001'"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data['Purchase Address'][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "389cd95f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "' Dallas'"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data['Purchase Address'][0].split(',')[1] ## extracting city from \"Purchase Address\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "75358094",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data['city'] = all_data['Purchase Address'].str.split(',').str.get(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "cb3459d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                 Dallas\n",
       "2                 Boston\n",
       "3            Los Angeles\n",
       "4            Los Angeles\n",
       "5            Los Angeles\n",
       "               ...      \n",
       "186845       Los Angeles\n",
       "186846     San Francisco\n",
       "186847     San Francisco\n",
       "186848     San Francisco\n",
       "186849     San Francisco\n",
       "Name: city, Length: 185686, dtype: object"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data['city']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "0c7ca38b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       " San Francisco    44662\n",
       " Los Angeles      29564\n",
       " New York City    24847\n",
       " Boston           19901\n",
       " Atlanta          14863\n",
       " Dallas           14797\n",
       " Seattle          14713\n",
       " Portland         12449\n",
       " Austin            9890\n",
       "Name: city, dtype: int64"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.value_counts(all_data['city']) ## frequency table.."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "9843e8a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='city'>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.value_counts(all_data['city']).plot(kind='pie' , autopct = '%1.0f%%') ## Pandas pie chart.."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ce2ab23e",
   "metadata": {},
   "outputs": [],
   "source": [
    "'''\n",
    "\n",
    "Inference : New York , Los Angeles , San Francisco are the Top 3 cities which has max order \n",
    "\n",
    "'''"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "919652c3",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "# 4) Which product sold the most & why?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "887fde3a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Order ID', 'Product', 'Quantity Ordered', 'Price Each', 'Order Date',\n",
       "       'Purchase Address', 'Month', 'sales', 'city'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "85d8ba5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "count_df = all_data.groupby(['Product']).agg({'Quantity Ordered':'sum' , 'Price Each':'mean'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "bea6df39",
   "metadata": {},
   "outputs": [],
   "source": [
    "count_df = count_df.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "958a79c0",
   "metadata": {
    "scrolled": true
   },
   "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</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>20in Monitor</td>\n",
       "      <td>4126</td>\n",
       "      <td>109.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>27in 4K Gaming Monitor</td>\n",
       "      <td>6239</td>\n",
       "      <td>389.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>27in FHD Monitor</td>\n",
       "      <td>7541</td>\n",
       "      <td>149.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>34in Ultrawide Monitor</td>\n",
       "      <td>6192</td>\n",
       "      <td>379.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AA Batteries (4-pack)</td>\n",
       "      <td>27615</td>\n",
       "      <td>3.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>AAA Batteries (4-pack)</td>\n",
       "      <td>30986</td>\n",
       "      <td>2.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Apple Airpods Headphones</td>\n",
       "      <td>15637</td>\n",
       "      <td>150.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>13430</td>\n",
       "      <td>99.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Flatscreen TV</td>\n",
       "      <td>4813</td>\n",
       "      <td>300.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Google Phone</td>\n",
       "      <td>5529</td>\n",
       "      <td>600.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>LG Dryer</td>\n",
       "      <td>646</td>\n",
       "      <td>600.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>LG Washing Machine</td>\n",
       "      <td>666</td>\n",
       "      <td>600.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>23169</td>\n",
       "      <td>14.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Macbook Pro Laptop</td>\n",
       "      <td>4725</td>\n",
       "      <td>1700.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>ThinkPad Laptop</td>\n",
       "      <td>4128</td>\n",
       "      <td>999.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>23931</td>\n",
       "      <td>11.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Vareebadd Phone</td>\n",
       "      <td>2068</td>\n",
       "      <td>400.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>20524</td>\n",
       "      <td>11.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>iPhone</td>\n",
       "      <td>6847</td>\n",
       "      <td>700.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Product  Quantity Ordered  Price Each\n",
       "0                 20in Monitor              4126      109.99\n",
       "1       27in 4K Gaming Monitor              6239      389.99\n",
       "2             27in FHD Monitor              7541      149.99\n",
       "3       34in Ultrawide Monitor              6192      379.99\n",
       "4        AA Batteries (4-pack)             27615        3.84\n",
       "5       AAA Batteries (4-pack)             30986        2.99\n",
       "6     Apple Airpods Headphones             15637      150.00\n",
       "7   Bose SoundSport Headphones             13430       99.99\n",
       "8                Flatscreen TV              4813      300.00\n",
       "9                 Google Phone              5529      600.00\n",
       "10                    LG Dryer               646      600.00\n",
       "11          LG Washing Machine               666      600.00\n",
       "12    Lightning Charging Cable             23169       14.95\n",
       "13          Macbook Pro Laptop              4725     1700.00\n",
       "14             ThinkPad Laptop              4128      999.99\n",
       "15        USB-C Charging Cable             23931       11.95\n",
       "16             Vareebadd Phone              2068      400.00\n",
       "17            Wired Headphones             20524       11.99\n",
       "18                      iPhone              6847      700.00"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d45f2579",
   "metadata": {},
   "outputs": [],
   "source": [
    "'''\n",
    "When we say twin axes, it means a figure can have dual x or y-axes\n",
    "plt.twinx(): function which is used to create a twin Axes that are sharing the x-axis\n",
    "\n",
    "Similarly, the function twiny() is used to create a second x axis in your figure, which means twiny() sharing the y-axis\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "ed22db1e",
   "metadata": {},
   "outputs": [],
   "source": [
    "products = count_df['Product'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "1342140b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Avg price of product')"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig , ax1 = plt.subplots()\n",
    "\n",
    "ax2 = ax1.twinx() ## as X-axis is same for both plots , ie we are sharing x-axis , ie we have to use ax2 = ax1.twinx()\n",
    "\n",
    "ax1.bar(count_df['Product'] , count_df['Quantity Ordered'] , color='g')\n",
    "ax2.plot(count_df['Product'] , count_df['Price Each'] )\n",
    "ax1.set_xticklabels(products , rotation='vertical' , fontsize=8 )\n",
    "\n",
    "ax1.set_ylabel('Order Count')\n",
    "ax2.set_ylabel('Avg price of product')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "134b04fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "'''\n",
    "\n",
    "Insights : \n",
    "\n",
    "The top selling product is 'AAA Batteries'. \n",
    "The top selling products seems to have a correlation with the price of the product. \n",
    "The cheaper the product higher the quantity ordered and vice versa.\n",
    "\n",
    "'''"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "006580b9",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "# 5) Understanding the trend of the most sold products"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "b9a8c86a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['USB-C Charging Cable', 'Lightning Charging Cable',\n",
       "       'AAA Batteries (4-pack)', 'AA Batteries (4-pack)', 'Wired Headphones'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data['Product'].value_counts()[0:5].index   ## Top 5 most sold products"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "a532f87a",
   "metadata": {},
   "outputs": [],
   "source": [
    "most_sold_product = all_data['Product'].value_counts()[0:5].index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "0bd813ba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0          True\n",
       "2         False\n",
       "3         False\n",
       "4          True\n",
       "5          True\n",
       "          ...  \n",
       "186845     True\n",
       "186846    False\n",
       "186847    False\n",
       "186848    False\n",
       "186849     True\n",
       "Name: Product, Length: 185686, dtype: bool"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data['Product'].isin(most_sold_product)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "31f2a738",
   "metadata": {},
   "outputs": [],
   "source": [
    "most_sold_product_df = all_data[all_data['Product'].isin(most_sold_product)]  ## data of Top 5 most sold products only .."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "a8d75216",
   "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</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>sales</th>\n",
       "      <th>city</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>176558</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/19/19 08:46</td>\n",
       "      <td>917 1st St, Dallas, TX 75001</td>\n",
       "      <td>4</td>\n",
       "      <td>23.90</td>\n",
       "      <td>Dallas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>176561</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/30/19 09:27</td>\n",
       "      <td>333 8th St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>176562</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/29/19 13:03</td>\n",
       "      <td>381 Wilson St, San Francisco, CA 94016</td>\n",
       "      <td>4</td>\n",
       "      <td>11.95</td>\n",
       "      <td>San Francisco</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order ID               Product  Quantity Ordered  Price Each  \\\n",
       "0   176558  USB-C Charging Cable                 2       11.95   \n",
       "4   176560      Wired Headphones                 1       11.99   \n",
       "5   176561      Wired Headphones                 1       11.99   \n",
       "6   176562  USB-C Charging Cable                 1       11.95   \n",
       "\n",
       "       Order Date                        Purchase Address  Month  sales  \\\n",
       "0  04/19/19 08:46            917 1st St, Dallas, TX 75001      4  23.90   \n",
       "4  04/12/19 14:38    669 Spruce St, Los Angeles, CA 90001      4  11.99   \n",
       "5  04/30/19 09:27       333 8th St, Los Angeles, CA 90001      4  11.99   \n",
       "6  04/29/19 13:03  381 Wilson St, San Francisco, CA 94016      4  11.95   \n",
       "\n",
       "             city  \n",
       "0          Dallas  \n",
       "4     Los Angeles  \n",
       "5     Los Angeles  \n",
       "6   San Francisco  "
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "most_sold_product_df.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8dc5f7b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creating frequency table by using groupby + unstack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "aeca4806",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Month  Product                 \n",
       "1      AA Batteries (4-pack)       1037\n",
       "       AAA Batteries (4-pack)      1084\n",
       "       Lightning Charging Cable    1069\n",
       "       USB-C Charging Cable        1171\n",
       "       Wired Headphones            1004\n",
       "2      AA Batteries (4-pack)       1274\n",
       "       AAA Batteries (4-pack)      1320\n",
       "       Lightning Charging Cable    1393\n",
       "       USB-C Charging Cable        1511\n",
       "       Wired Headphones            1179\n",
       "3      AA Batteries (4-pack)       1672\n",
       "       AAA Batteries (4-pack)      1645\n",
       "       Lightning Charging Cable    1749\n",
       "       USB-C Charging Cable        1766\n",
       "       Wired Headphones            1512\n",
       "4      AA Batteries (4-pack)       2062\n",
       "       AAA Batteries (4-pack)      1988\n",
       "       Lightning Charging Cable    2197\n",
       "       USB-C Charging Cable        2074\n",
       "       Wired Headphones            1888\n",
       "5      AA Batteries (4-pack)       1821\n",
       "       AAA Batteries (4-pack)      1888\n",
       "       Lightning Charging Cable    1929\n",
       "       USB-C Charging Cable        1879\n",
       "       Wired Headphones            1729\n",
       "6      AA Batteries (4-pack)       1540\n",
       "       AAA Batteries (4-pack)      1451\n",
       "       Lightning Charging Cable    1560\n",
       "       USB-C Charging Cable        1531\n",
       "       Wired Headphones            1334\n",
       "7      AA Batteries (4-pack)       1555\n",
       "       AAA Batteries (4-pack)      1554\n",
       "       Lightning Charging Cable    1690\n",
       "       USB-C Charging Cable        1667\n",
       "       Wired Headphones            1434\n",
       "8      AA Batteries (4-pack)       1357\n",
       "       AAA Batteries (4-pack)      1340\n",
       "       Lightning Charging Cable    1354\n",
       "       USB-C Charging Cable        1339\n",
       "       Wired Headphones            1191\n",
       "9      AA Batteries (4-pack)       1314\n",
       "       AAA Batteries (4-pack)      1281\n",
       "       Lightning Charging Cable    1324\n",
       "       USB-C Charging Cable        1451\n",
       "       Wired Headphones            1173\n",
       "10     AA Batteries (4-pack)       2240\n",
       "       AAA Batteries (4-pack)      2234\n",
       "       Lightning Charging Cable    2414\n",
       "       USB-C Charging Cable        2437\n",
       "       Wired Headphones            2091\n",
       "11     AA Batteries (4-pack)       1970\n",
       "       AAA Batteries (4-pack)      1999\n",
       "       Lightning Charging Cable    2044\n",
       "       USB-C Charging Cable        2054\n",
       "       Wired Headphones            1777\n",
       "12     AA Batteries (4-pack)       2716\n",
       "       AAA Batteries (4-pack)      2828\n",
       "       Lightning Charging Cable    2887\n",
       "       USB-C Charging Cable        2979\n",
       "       Wired Headphones            2537\n",
       "dtype: int64"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "most_sold_product_df.groupby(['Month' , 'Product']).size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "1b3195dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "pivot = most_sold_product_df.groupby(['Month' , 'Product']).size().unstack()\n",
    "pivot #creates a pivot table with months as the first column and then one column for each product after that"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "ffe457c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Month'>"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pivot.plot(figsize=(8,6))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5578fa6",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "# 6) Which products are most often sold together?\n",
    "        keep orders that have same order Id, are sold mostly together ..\n",
    "        Approach : ie keep duplicated data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "12e825a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Order ID', 'Product', 'Quantity Ordered', 'Price Each', 'Order Date',\n",
       "       'Purchase Address', 'Month', 'sales', 'city'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.columns "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "4b7bbf67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         176558\n",
       "2         176559\n",
       "3         176560\n",
       "4         176560\n",
       "5         176561\n",
       "           ...  \n",
       "186845    259353\n",
       "186846    259354\n",
       "186847    259355\n",
       "186848    259356\n",
       "186849    259357\n",
       "Name: Order ID, Length: 185686, dtype: object"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data['Order ID'] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "aaaf8a65",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_duplicated = all_data[all_data['Order ID'].duplicated(keep=False)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "80532946",
   "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</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>sales</th>\n",
       "      <th>city</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>600.00</td>\n",
       "      <td>Los Angeles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>176574</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>04/03/19 19:42</td>\n",
       "      <td>20 Hill St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>600.00</td>\n",
       "      <td>Los Angeles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>176574</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/03/19 19:42</td>\n",
       "      <td>20 Hill St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.95</td>\n",
       "      <td>Los Angeles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>176586</td>\n",
       "      <td>AAA Batteries (4-pack)</td>\n",
       "      <td>2</td>\n",
       "      <td>2.99</td>\n",
       "      <td>04/10/19 17:00</td>\n",
       "      <td>365 Center St, San Francisco, CA 94016</td>\n",
       "      <td>4</td>\n",
       "      <td>5.98</td>\n",
       "      <td>San Francisco</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186792</th>\n",
       "      <td>259303</td>\n",
       "      <td>AA Batteries (4-pack)</td>\n",
       "      <td>1</td>\n",
       "      <td>3.84</td>\n",
       "      <td>09/20/19 20:18</td>\n",
       "      <td>106 7th St, Atlanta, GA 30301</td>\n",
       "      <td>9</td>\n",
       "      <td>3.84</td>\n",
       "      <td>Atlanta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186803</th>\n",
       "      <td>259314</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>09/16/19 00:25</td>\n",
       "      <td>241 Highland St, Atlanta, GA 30301</td>\n",
       "      <td>9</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Atlanta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186804</th>\n",
       "      <td>259314</td>\n",
       "      <td>AAA Batteries (4-pack)</td>\n",
       "      <td>2</td>\n",
       "      <td>2.99</td>\n",
       "      <td>09/16/19 00:25</td>\n",
       "      <td>241 Highland St, Atlanta, GA 30301</td>\n",
       "      <td>9</td>\n",
       "      <td>5.98</td>\n",
       "      <td>Atlanta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186841</th>\n",
       "      <td>259350</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>09/30/19 13:49</td>\n",
       "      <td>519 Maple St, San Francisco, CA 94016</td>\n",
       "      <td>9</td>\n",
       "      <td>600.00</td>\n",
       "      <td>San Francisco</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186842</th>\n",
       "      <td>259350</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>09/30/19 13:49</td>\n",
       "      <td>519 Maple St, San Francisco, CA 94016</td>\n",
       "      <td>9</td>\n",
       "      <td>11.95</td>\n",
       "      <td>San Francisco</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14128 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Order ID                 Product  Quantity Ordered  Price Each  \\\n",
       "3        176560            Google Phone                 1      600.00   \n",
       "4        176560        Wired Headphones                 1       11.99   \n",
       "18       176574            Google Phone                 1      600.00   \n",
       "19       176574    USB-C Charging Cable                 1       11.95   \n",
       "32       176586  AAA Batteries (4-pack)                 2        2.99   \n",
       "...         ...                     ...               ...         ...   \n",
       "186792   259303   AA Batteries (4-pack)                 1        3.84   \n",
       "186803   259314        Wired Headphones                 1       11.99   \n",
       "186804   259314  AAA Batteries (4-pack)                 2        2.99   \n",
       "186841   259350            Google Phone                 1      600.00   \n",
       "186842   259350    USB-C Charging Cable                 1       11.95   \n",
       "\n",
       "            Order Date                        Purchase Address  Month   sales  \\\n",
       "3       04/12/19 14:38    669 Spruce St, Los Angeles, CA 90001      4  600.00   \n",
       "4       04/12/19 14:38    669 Spruce St, Los Angeles, CA 90001      4   11.99   \n",
       "18      04/03/19 19:42       20 Hill St, Los Angeles, CA 90001      4  600.00   \n",
       "19      04/03/19 19:42       20 Hill St, Los Angeles, CA 90001      4   11.95   \n",
       "32      04/10/19 17:00  365 Center St, San Francisco, CA 94016      4    5.98   \n",
       "...                ...                                     ...    ...     ...   \n",
       "186792  09/20/19 20:18           106 7th St, Atlanta, GA 30301      9    3.84   \n",
       "186803  09/16/19 00:25      241 Highland St, Atlanta, GA 30301      9   11.99   \n",
       "186804  09/16/19 00:25      241 Highland St, Atlanta, GA 30301      9    5.98   \n",
       "186841  09/30/19 13:49   519 Maple St, San Francisco, CA 94016      9  600.00   \n",
       "186842  09/30/19 13:49   519 Maple St, San Francisco, CA 94016      9   11.95   \n",
       "\n",
       "                  city  \n",
       "3          Los Angeles  \n",
       "4          Los Angeles  \n",
       "18         Los Angeles  \n",
       "19         Los Angeles  \n",
       "32       San Francisco  \n",
       "...                ...  \n",
       "186792         Atlanta  \n",
       "186803         Atlanta  \n",
       "186804         Atlanta  \n",
       "186841   San Francisco  \n",
       "186842   San Francisco  \n",
       "\n",
       "[14128 rows x 9 columns]"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_duplicated # dataframe in which we have those Order Ids who have purchased more products"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "8d2e6b9f",
   "metadata": {},
   "outputs": [],
   "source": [
    "dup_products = df_duplicated.groupby(['Order ID'])['Product'].apply(lambda x : ','.join(x)).reset_index().rename(columns={'Product':'grouped_products'})\n",
    "\n",
    "## for every Order-Id, join all the products and separate them with a comma"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "8abf53c9",
   "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>grouped_products</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>141275</td>\n",
       "      <td>USB-C Charging Cable,Wired Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>141290</td>\n",
       "      <td>Apple Airpods Headphones,AA Batteries (4-pack)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>141365</td>\n",
       "      <td>Vareebadd Phone,Wired Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>141384</td>\n",
       "      <td>Google Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>141450</td>\n",
       "      <td>Google Phone,Bose SoundSport Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6874</th>\n",
       "      <td>319536</td>\n",
       "      <td>Macbook Pro Laptop,Wired Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6875</th>\n",
       "      <td>319556</td>\n",
       "      <td>Google Phone,Wired Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6876</th>\n",
       "      <td>319584</td>\n",
       "      <td>iPhone,Wired Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6877</th>\n",
       "      <td>319596</td>\n",
       "      <td>iPhone,Lightning Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6878</th>\n",
       "      <td>319631</td>\n",
       "      <td>34in Ultrawide Monitor,Lightning Charging Cable</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6879 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Order ID                                 grouped_products\n",
       "0      141275            USB-C Charging Cable,Wired Headphones\n",
       "1      141290   Apple Airpods Headphones,AA Batteries (4-pack)\n",
       "2      141365                 Vareebadd Phone,Wired Headphones\n",
       "3      141384                Google Phone,USB-C Charging Cable\n",
       "4      141450          Google Phone,Bose SoundSport Headphones\n",
       "...       ...                                              ...\n",
       "6874   319536              Macbook Pro Laptop,Wired Headphones\n",
       "6875   319556                    Google Phone,Wired Headphones\n",
       "6876   319584                          iPhone,Wired Headphones\n",
       "6877   319596                  iPhone,Lightning Charging Cable\n",
       "6878   319631  34in Ultrawide Monitor,Lightning Charging Cable\n",
       "\n",
       "[6879 rows x 2 columns]"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dup_products"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "40184e19",
   "metadata": {},
   "outputs": [],
   "source": [
    "dup_products_df = df_duplicated.merge(dup_products , how='left' , on='Order ID') ## merge dataframes "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "d3ab0d9f",
   "metadata": {
    "scrolled": true
   },
   "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</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>sales</th>\n",
       "      <th>city</th>\n",
       "      <th>grouped_products</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>600.00</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>Google Phone,Wired Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>Google Phone,Wired Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>176574</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>04/03/19 19:42</td>\n",
       "      <td>20 Hill St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>600.00</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>Google Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176574</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/03/19 19:42</td>\n",
       "      <td>20 Hill St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.95</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>Google Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176586</td>\n",
       "      <td>AAA Batteries (4-pack)</td>\n",
       "      <td>2</td>\n",
       "      <td>2.99</td>\n",
       "      <td>04/10/19 17:00</td>\n",
       "      <td>365 Center St, San Francisco, CA 94016</td>\n",
       "      <td>4</td>\n",
       "      <td>5.98</td>\n",
       "      <td>San Francisco</td>\n",
       "      <td>AAA Batteries (4-pack),Google Phone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14123</th>\n",
       "      <td>259303</td>\n",
       "      <td>AA Batteries (4-pack)</td>\n",
       "      <td>1</td>\n",
       "      <td>3.84</td>\n",
       "      <td>09/20/19 20:18</td>\n",
       "      <td>106 7th St, Atlanta, GA 30301</td>\n",
       "      <td>9</td>\n",
       "      <td>3.84</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>34in Ultrawide Monitor,AA Batteries (4-pack)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14124</th>\n",
       "      <td>259314</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>09/16/19 00:25</td>\n",
       "      <td>241 Highland St, Atlanta, GA 30301</td>\n",
       "      <td>9</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>Wired Headphones,AAA Batteries (4-pack)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14125</th>\n",
       "      <td>259314</td>\n",
       "      <td>AAA Batteries (4-pack)</td>\n",
       "      <td>2</td>\n",
       "      <td>2.99</td>\n",
       "      <td>09/16/19 00:25</td>\n",
       "      <td>241 Highland St, Atlanta, GA 30301</td>\n",
       "      <td>9</td>\n",
       "      <td>5.98</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>Wired Headphones,AAA Batteries (4-pack)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14126</th>\n",
       "      <td>259350</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>09/30/19 13:49</td>\n",
       "      <td>519 Maple St, San Francisco, CA 94016</td>\n",
       "      <td>9</td>\n",
       "      <td>600.00</td>\n",
       "      <td>San Francisco</td>\n",
       "      <td>Google Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14127</th>\n",
       "      <td>259350</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>09/30/19 13:49</td>\n",
       "      <td>519 Maple St, San Francisco, CA 94016</td>\n",
       "      <td>9</td>\n",
       "      <td>11.95</td>\n",
       "      <td>San Francisco</td>\n",
       "      <td>Google Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14128 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Order ID                 Product  Quantity Ordered  Price Each  \\\n",
       "0       176560            Google Phone                 1      600.00   \n",
       "1       176560        Wired Headphones                 1       11.99   \n",
       "2       176574            Google Phone                 1      600.00   \n",
       "3       176574    USB-C Charging Cable                 1       11.95   \n",
       "4       176586  AAA Batteries (4-pack)                 2        2.99   \n",
       "...        ...                     ...               ...         ...   \n",
       "14123   259303   AA Batteries (4-pack)                 1        3.84   \n",
       "14124   259314        Wired Headphones                 1       11.99   \n",
       "14125   259314  AAA Batteries (4-pack)                 2        2.99   \n",
       "14126   259350            Google Phone                 1      600.00   \n",
       "14127   259350    USB-C Charging Cable                 1       11.95   \n",
       "\n",
       "           Order Date                        Purchase Address  Month   sales  \\\n",
       "0      04/12/19 14:38    669 Spruce St, Los Angeles, CA 90001      4  600.00   \n",
       "1      04/12/19 14:38    669 Spruce St, Los Angeles, CA 90001      4   11.99   \n",
       "2      04/03/19 19:42       20 Hill St, Los Angeles, CA 90001      4  600.00   \n",
       "3      04/03/19 19:42       20 Hill St, Los Angeles, CA 90001      4   11.95   \n",
       "4      04/10/19 17:00  365 Center St, San Francisco, CA 94016      4    5.98   \n",
       "...               ...                                     ...    ...     ...   \n",
       "14123  09/20/19 20:18           106 7th St, Atlanta, GA 30301      9    3.84   \n",
       "14124  09/16/19 00:25      241 Highland St, Atlanta, GA 30301      9   11.99   \n",
       "14125  09/16/19 00:25      241 Highland St, Atlanta, GA 30301      9    5.98   \n",
       "14126  09/30/19 13:49   519 Maple St, San Francisco, CA 94016      9  600.00   \n",
       "14127  09/30/19 13:49   519 Maple St, San Francisco, CA 94016      9   11.95   \n",
       "\n",
       "                 city                              grouped_products  \n",
       "0         Los Angeles                 Google Phone,Wired Headphones  \n",
       "1         Los Angeles                 Google Phone,Wired Headphones  \n",
       "2         Los Angeles             Google Phone,USB-C Charging Cable  \n",
       "3         Los Angeles             Google Phone,USB-C Charging Cable  \n",
       "4       San Francisco           AAA Batteries (4-pack),Google Phone  \n",
       "...               ...                                           ...  \n",
       "14123         Atlanta  34in Ultrawide Monitor,AA Batteries (4-pack)  \n",
       "14124         Atlanta       Wired Headphones,AAA Batteries (4-pack)  \n",
       "14125         Atlanta       Wired Headphones,AAA Batteries (4-pack)  \n",
       "14126   San Francisco             Google Phone,USB-C Charging Cable  \n",
       "14127   San Francisco             Google Phone,USB-C Charging Cable  \n",
       "\n",
       "[14128 rows x 10 columns]"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dup_products_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "e6afc629",
   "metadata": {},
   "outputs": [],
   "source": [
    "no_dup_df = dup_products_df.drop_duplicates(subset=['Order ID']) # lets drop out all duplicate Order ID"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "2a450c31",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(6879, 10)"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "no_dup_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "d42421e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='grouped_products'>"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "no_dup_df['grouped_products'].value_counts()[0:5].plot.pie()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eba99eb7",
   "metadata": {},
   "outputs": [],
   "source": [
    "'''\n",
    "ie as soon as any Person buys an Iphone, we can recommend a charging cable or wired headphones \n",
    "ie as soon as any Person buys a Google phone, we can recommend a USB-c charging cable\n",
    "\n",
    "'''"
   ]
  }
 ],
 "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",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}