Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysis on Sales data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## • Import Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## • Merge data of 12 csv files to 1  file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "path = \"./Data\"\n",
    "files = [file for file in os.listdir(path) if not file.startswith('.')] # Ignore hidden files\n",
    "\n",
    "all_months = pd.DataFrame()\n",
    "\n",
    "for file in files:\n",
    "    current_data = pd.read_csv(path+\"/\"+file)\n",
    "    all_months = pd.concat([all_months, current_data])\n",
    "    \n",
    "all_months.to_csv(\"all_data.csv\", index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Read \"all_data.csv\" to dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>...</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>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",
       "    </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",
       "    </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",
       "    </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",
       "    </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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>186850 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Order ID                     Product Quantity Ordered Price Each  \\\n",
       "0        176558        USB-C Charging Cable                2      11.95   \n",
       "1           NaN                         NaN              NaN        NaN   \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",
       "...         ...                         ...              ...        ...   \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  \n",
       "0       04/19/19 08:46             917 1st St, Dallas, TX 75001  \n",
       "1                  NaN                                      NaN  \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",
       "...                ...                                      ...  \n",
       "186845  09/17/19 20:56   840 Highland St, Los Angeles, CA 90001  \n",
       "186846  09/01/19 16:00  216 Dogwood St, San Francisco, CA 94016  \n",
       "186847  09/23/19 07:39     220 12th St, San Francisco, CA 94016  \n",
       "186848  09/19/19 17:30   511 Forest St, San Francisco, CA 94016  \n",
       "186849  09/30/19 00:18   250 Meadow St, San Francisco, CA 94016  \n",
       "\n",
       "[186850 rows x 6 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data = pd.read_csv(\"all_data.csv\")\n",
    "all_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## • Clean Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### - Remove and Drop NaN values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>735</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1433</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1553</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Order ID Product Quantity Ordered Price Each Order Date Purchase Address\n",
       "1         NaN     NaN              NaN        NaN        NaN              NaN\n",
       "356       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "735       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "1433      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "1553      NaN     NaN              NaN        NaN        NaN              NaN"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>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",
       "    <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",
       "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",
       "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": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Finds NaN values\n",
    "NaN = all_data[all_data.isna().any(axis=1)]\n",
    "display(NaN.head())\n",
    "\n",
    "# Drops NaN values\n",
    "all_data = all_data.dropna(how='all')\n",
    "all_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### - Remove Irrelevant Rows (Some rows contain col names )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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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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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>519</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",
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       "    <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>2878</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>2893</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>...</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>185164</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>185551</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>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",
       "  </tbody>\n",
       "</table>\n",
       "<p>355 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Order ID  Product  Quantity Ordered  Price Each  Order Date  \\\n",
       "519     Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "1149    Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "1155    Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "2878    Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "2893    Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "...          ...      ...               ...         ...         ...   \n",
       "185164  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "185551  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "186563  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "186632  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "186738  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "\n",
       "        Purchase Address  \n",
       "519     Purchase Address  \n",
       "1149    Purchase Address  \n",
       "1155    Purchase Address  \n",
       "2878    Purchase Address  \n",
       "2893    Purchase Address  \n",
       "...                  ...  \n",
       "185164  Purchase Address  \n",
       "185551  Purchase Address  \n",
       "186563  Purchase Address  \n",
       "186632  Purchase Address  \n",
       "186738  Purchase Address  \n",
       "\n",
       "[355 rows x 6 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Shows Irrelevant Rows\n",
    "all_data[all_data['Order Date'].str[0:2]=='Or']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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",
       "    </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",
       "    <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",
       "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",
       "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": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Remove Irrelevant Rows\n",
    "all_data = all_data[all_data['Order Date'].str[0:2]!='Or']\n",
    "all_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### - All data is String type \n",
    "    \n",
    "    Convert required column number data to numeric."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data['Quantity Ordered'] = pd.to_numeric(all_data['Quantity Ordered'])\n",
    "all_data['Price Each'] = pd.to_numeric(all_data['Price Each'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## • Add additional columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### - Add month column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "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>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>Dallas  (TX)</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>Boston  (MA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</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>Los Angeles  (CA)</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>Los Angeles  (CA)</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>Los Angeles  (CA)</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",
       "    </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>9</td>\n",
       "      <td>Los Angeles  (CA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186846</th>\n",
       "      <td>259354</td>\n",
       "      <td>iPhone</td>\n",
       "      <td>1</td>\n",
       "      <td>700.00</td>\n",
       "      <td>09/01/19 16:00</td>\n",
       "      <td>216 Dogwood St, San Francisco, CA 94016</td>\n",
       "      <td>9</td>\n",
       "      <td>San Francisco  (CA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186847</th>\n",
       "      <td>259355</td>\n",
       "      <td>iPhone</td>\n",
       "      <td>1</td>\n",
       "      <td>700.00</td>\n",
       "      <td>09/23/19 07:39</td>\n",
       "      <td>220 12th St, San Francisco, CA 94016</td>\n",
       "      <td>9</td>\n",
       "      <td>San Francisco  (CA)</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>9</td>\n",
       "      <td>San Francisco  (CA)</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>9</td>\n",
       "      <td>San Francisco  (CA)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>185950 rows × 8 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      600.00   \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      700.00   \n",
       "186847   259355                      iPhone                 1      700.00   \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      4   \n",
       "2       04/07/19 22:30        682 Chestnut St, Boston, MA 02215      4   \n",
       "3       04/12/19 14:38     669 Spruce St, Los Angeles, CA 90001      4   \n",
       "4       04/12/19 14:38     669 Spruce St, Los Angeles, CA 90001      4   \n",
       "5       04/30/19 09:27        333 8th St, Los Angeles, CA 90001      4   \n",
       "...                ...                                      ...    ...   \n",
       "186845  09/17/19 20:56   840 Highland St, Los Angeles, CA 90001      9   \n",
       "186846  09/01/19 16:00  216 Dogwood St, San Francisco, CA 94016      9   \n",
       "186847  09/23/19 07:39     220 12th St, San Francisco, CA 94016      9   \n",
       "186848  09/19/19 17:30   511 Forest St, San Francisco, CA 94016      9   \n",
       "186849  09/30/19 00:18   250 Meadow St, San Francisco, CA 94016      9   \n",
       "\n",
       "                       City  \n",
       "0              Dallas  (TX)  \n",
       "2              Boston  (MA)  \n",
       "3         Los Angeles  (CA)  \n",
       "4         Los Angeles  (CA)  \n",
       "5         Los Angeles  (CA)  \n",
       "...                     ...  \n",
       "186845    Los Angeles  (CA)  \n",
       "186846  San Francisco  (CA)  \n",
       "186847  San Francisco  (CA)  \n",
       "186848  San Francisco  (CA)  \n",
       "186849  San Francisco  (CA)  \n",
       "\n",
       "[185950 rows x 8 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data['Month'] = all_data['Order Date'].str[0:2]\n",
    "\n",
    "#Convert Month(str type) to Int\n",
    "all_data['Month'] = pd.to_numeric(all_data['Month'])\n",
    "all_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### - Add city column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "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>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>Dallas  (TX)</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>Boston  (MA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</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>Los Angeles  (CA)</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>Los Angeles  (CA)</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>Los Angeles  (CA)</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",
       "    </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>9</td>\n",
       "      <td>Los Angeles  (CA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186846</th>\n",
       "      <td>259354</td>\n",
       "      <td>iPhone</td>\n",
       "      <td>1</td>\n",
       "      <td>700.00</td>\n",
       "      <td>09/01/19 16:00</td>\n",
       "      <td>216 Dogwood St, San Francisco, CA 94016</td>\n",
       "      <td>9</td>\n",
       "      <td>San Francisco  (CA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186847</th>\n",
       "      <td>259355</td>\n",
       "      <td>iPhone</td>\n",
       "      <td>1</td>\n",
       "      <td>700.00</td>\n",
       "      <td>09/23/19 07:39</td>\n",
       "      <td>220 12th St, San Francisco, CA 94016</td>\n",
       "      <td>9</td>\n",
       "      <td>San Francisco  (CA)</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>9</td>\n",
       "      <td>San Francisco  (CA)</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>9</td>\n",
       "      <td>San Francisco  (CA)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>185950 rows × 8 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      600.00   \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      700.00   \n",
       "186847   259355                      iPhone                 1      700.00   \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      4   \n",
       "2       04/07/19 22:30        682 Chestnut St, Boston, MA 02215      4   \n",
       "3       04/12/19 14:38     669 Spruce St, Los Angeles, CA 90001      4   \n",
       "4       04/12/19 14:38     669 Spruce St, Los Angeles, CA 90001      4   \n",
       "5       04/30/19 09:27        333 8th St, Los Angeles, CA 90001      4   \n",
       "...                ...                                      ...    ...   \n",
       "186845  09/17/19 20:56   840 Highland St, Los Angeles, CA 90001      9   \n",
       "186846  09/01/19 16:00  216 Dogwood St, San Francisco, CA 94016      9   \n",
       "186847  09/23/19 07:39     220 12th St, San Francisco, CA 94016      9   \n",
       "186848  09/19/19 17:30   511 Forest St, San Francisco, CA 94016      9   \n",
       "186849  09/30/19 00:18   250 Meadow St, San Francisco, CA 94016      9   \n",
       "\n",
       "                       City  \n",
       "0              Dallas  (TX)  \n",
       "2              Boston  (MA)  \n",
       "3         Los Angeles  (CA)  \n",
       "4         Los Angeles  (CA)  \n",
       "5         Los Angeles  (CA)  \n",
       "...                     ...  \n",
       "186845    Los Angeles  (CA)  \n",
       "186846  San Francisco  (CA)  \n",
       "186847  San Francisco  (CA)  \n",
       "186848  San Francisco  (CA)  \n",
       "186849  San Francisco  (CA)  \n",
       "\n",
       "[185950 rows x 8 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Data contains Complete address\n",
    "def get_city(address):\n",
    "    return address.split(\",\")[1].strip(\" \")\n",
    "\n",
    "#To avoid duplicate city names\n",
    "def get_state(address):\n",
    "    return address.split(\",\")[2].split(\" \")[1]\n",
    "\n",
    "all_data['City'] = all_data['Purchase Address'].apply(lambda x: f\"{get_city(x)}  ({get_state(x)})\")\n",
    "all_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Find best month for sales? How much earned in that month?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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: 185950, dtype: float64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data['Sales'] = pd.to_numeric(all_data['Quantity Ordered'] * all_data['Price Each'])\n",
    "all_data['Sales']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "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>City</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Hour</th>\n",
       "      <th>Minute</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>Dallas  (TX)</td>\n",
       "      <td>23.90</td>\n",
       "      <td>8</td>\n",
       "      <td>46</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>Boston  (MA)</td>\n",
       "      <td>99.99</td>\n",
       "      <td>22</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</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>Los Angeles  (CA)</td>\n",
       "      <td>600.00</td>\n",
       "      <td>14</td>\n",
       "      <td>38</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>Los Angeles  (CA)</td>\n",
       "      <td>11.99</td>\n",
       "      <td>14</td>\n",
       "      <td>38</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>Los Angeles  (CA)</td>\n",
       "      <td>11.99</td>\n",
       "      <td>9</td>\n",
       "      <td>27</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",
       "      <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>9</td>\n",
       "      <td>Los Angeles  (CA)</td>\n",
       "      <td>8.97</td>\n",
       "      <td>20</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186846</th>\n",
       "      <td>259354</td>\n",
       "      <td>iPhone</td>\n",
       "      <td>1</td>\n",
       "      <td>700.00</td>\n",
       "      <td>09/01/19 16:00</td>\n",
       "      <td>216 Dogwood St, San Francisco, CA 94016</td>\n",
       "      <td>9</td>\n",
       "      <td>San Francisco  (CA)</td>\n",
       "      <td>700.00</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186847</th>\n",
       "      <td>259355</td>\n",
       "      <td>iPhone</td>\n",
       "      <td>1</td>\n",
       "      <td>700.00</td>\n",
       "      <td>09/23/19 07:39</td>\n",
       "      <td>220 12th St, San Francisco, CA 94016</td>\n",
       "      <td>9</td>\n",
       "      <td>San Francisco  (CA)</td>\n",
       "      <td>700.00</td>\n",
       "      <td>7</td>\n",
       "      <td>39</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>9</td>\n",
       "      <td>San Francisco  (CA)</td>\n",
       "      <td>379.99</td>\n",
       "      <td>17</td>\n",
       "      <td>30</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>9</td>\n",
       "      <td>San Francisco  (CA)</td>\n",
       "      <td>11.95</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>185950 rows × 11 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      600.00   \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      700.00   \n",
       "186847   259355                      iPhone                 1      700.00   \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      4   \n",
       "2       04/07/19 22:30        682 Chestnut St, Boston, MA 02215      4   \n",
       "3       04/12/19 14:38     669 Spruce St, Los Angeles, CA 90001      4   \n",
       "4       04/12/19 14:38     669 Spruce St, Los Angeles, CA 90001      4   \n",
       "5       04/30/19 09:27        333 8th St, Los Angeles, CA 90001      4   \n",
       "...                ...                                      ...    ...   \n",
       "186845  09/17/19 20:56   840 Highland St, Los Angeles, CA 90001      9   \n",
       "186846  09/01/19 16:00  216 Dogwood St, San Francisco, CA 94016      9   \n",
       "186847  09/23/19 07:39     220 12th St, San Francisco, CA 94016      9   \n",
       "186848  09/19/19 17:30   511 Forest St, San Francisco, CA 94016      9   \n",
       "186849  09/30/19 00:18   250 Meadow St, San Francisco, CA 94016      9   \n",
       "\n",
       "                       City   Sales  Hour  Minute  \n",
       "0              Dallas  (TX)   23.90     8      46  \n",
       "2              Boston  (MA)   99.99    22      30  \n",
       "3         Los Angeles  (CA)  600.00    14      38  \n",
       "4         Los Angeles  (CA)   11.99    14      38  \n",
       "5         Los Angeles  (CA)   11.99     9      27  \n",
       "...                     ...     ...   ...     ...  \n",
       "186845    Los Angeles  (CA)    8.97    20      56  \n",
       "186846  San Francisco  (CA)  700.00    16       0  \n",
       "186847  San Francisco  (CA)  700.00     7      39  \n",
       "186848  San Francisco  (CA)  379.99    17      30  \n",
       "186849  San Francisco  (CA)   11.95     0      18  \n",
       "\n",
       "[185950 rows x 11 columns]"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "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>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Sales</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Month</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10903</td>\n",
       "      <td>1.811768e+06</td>\n",
       "      <td>1.822257e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13449</td>\n",
       "      <td>2.188885e+06</td>\n",
       "      <td>2.202022e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>17005</td>\n",
       "      <td>2.791208e+06</td>\n",
       "      <td>2.807100e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20558</td>\n",
       "      <td>3.367671e+06</td>\n",
       "      <td>3.390670e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>18667</td>\n",
       "      <td>3.135125e+06</td>\n",
       "      <td>3.152607e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>15253</td>\n",
       "      <td>2.562026e+06</td>\n",
       "      <td>2.577802e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>16072</td>\n",
       "      <td>2.632540e+06</td>\n",
       "      <td>2.647776e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>13448</td>\n",
       "      <td>2.230345e+06</td>\n",
       "      <td>2.244468e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>13109</td>\n",
       "      <td>2.084992e+06</td>\n",
       "      <td>2.097560e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>22703</td>\n",
       "      <td>3.715555e+06</td>\n",
       "      <td>3.736727e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>19798</td>\n",
       "      <td>3.180601e+06</td>\n",
       "      <td>3.199603e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>28114</td>\n",
       "      <td>4.588415e+06</td>\n",
       "      <td>4.613443e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Quantity Ordered    Price Each         Sales\n",
       "Month                                              \n",
       "1                 10903  1.811768e+06  1.822257e+06\n",
       "2                 13449  2.188885e+06  2.202022e+06\n",
       "3                 17005  2.791208e+06  2.807100e+06\n",
       "4                 20558  3.367671e+06  3.390670e+06\n",
       "5                 18667  3.135125e+06  3.152607e+06\n",
       "6                 15253  2.562026e+06  2.577802e+06\n",
       "7                 16072  2.632540e+06  2.647776e+06\n",
       "8                 13448  2.230345e+06  2.244468e+06\n",
       "9                 13109  2.084992e+06  2.097560e+06\n",
       "10                22703  3.715555e+06  3.736727e+06\n",
       "11                19798  3.180601e+06  3.199603e+06\n",
       "12                28114  4.588415e+06  4.613443e+06"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.groupby(['Month']).sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### - Data Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "months = ['January', 'February', 'March', 'April', 'May', 'June', 'July',\n",
    "          'August', 'September', 'October', 'November', 'December']\n",
    "plt.bar(months,all_data.groupby(['Month']).sum()['Sales'])\n",
    "plt.xticks(months , rotation = 'vertical')\n",
    "plt.ylabel('Sales in USD', fontweight = 'bold', fontsize = 'large')\n",
    "plt.xlabel('Month', fontweight = 'bold', fontsize = 'large')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Find the city which sold the most products?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "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>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Month</th>\n",
       "      <th>Sales</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>City</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Atlanta  (GA)</th>\n",
       "      <td>16602</td>\n",
       "      <td>2.779908e+06</td>\n",
       "      <td>104794</td>\n",
       "      <td>2.795499e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Austin  (TX)</th>\n",
       "      <td>11153</td>\n",
       "      <td>1.809874e+06</td>\n",
       "      <td>69829</td>\n",
       "      <td>1.819582e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Boston  (MA)</th>\n",
       "      <td>22528</td>\n",
       "      <td>3.637410e+06</td>\n",
       "      <td>141112</td>\n",
       "      <td>3.661642e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dallas  (TX)</th>\n",
       "      <td>16730</td>\n",
       "      <td>2.752628e+06</td>\n",
       "      <td>104620</td>\n",
       "      <td>2.767975e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Los Angeles  (CA)</th>\n",
       "      <td>33289</td>\n",
       "      <td>5.421435e+06</td>\n",
       "      <td>208325</td>\n",
       "      <td>5.452571e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York City  (NY)</th>\n",
       "      <td>27932</td>\n",
       "      <td>4.635371e+06</td>\n",
       "      <td>175741</td>\n",
       "      <td>4.664317e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Portland  (ME)</th>\n",
       "      <td>2750</td>\n",
       "      <td>4.471893e+05</td>\n",
       "      <td>17144</td>\n",
       "      <td>4.497583e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Portland  (OR)</th>\n",
       "      <td>11303</td>\n",
       "      <td>1.860558e+06</td>\n",
       "      <td>70621</td>\n",
       "      <td>1.870732e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>San Francisco  (CA)</th>\n",
       "      <td>50239</td>\n",
       "      <td>8.211462e+06</td>\n",
       "      <td>315520</td>\n",
       "      <td>8.262204e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Seattle  (WA)</th>\n",
       "      <td>16553</td>\n",
       "      <td>2.733296e+06</td>\n",
       "      <td>104941</td>\n",
       "      <td>2.747755e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Quantity Ordered    Price Each   Month         Sales\n",
       "City                                                                     \n",
       "Atlanta  (GA)                   16602  2.779908e+06  104794  2.795499e+06\n",
       "Austin  (TX)                    11153  1.809874e+06   69829  1.819582e+06\n",
       "Boston  (MA)                    22528  3.637410e+06  141112  3.661642e+06\n",
       "Dallas  (TX)                    16730  2.752628e+06  104620  2.767975e+06\n",
       "Los Angeles  (CA)               33289  5.421435e+06  208325  5.452571e+06\n",
       "New York City  (NY)             27932  4.635371e+06  175741  4.664317e+06\n",
       "Portland  (ME)                   2750  4.471893e+05   17144  4.497583e+05\n",
       "Portland  (OR)                  11303  1.860558e+06   70621  1.870732e+06\n",
       "San Francisco  (CA)             50239  8.211462e+06  315520  8.262204e+06\n",
       "Seattle  (WA)                   16553  2.733296e+06  104941  2.747755e+06"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.groupby(['City']).sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### - Data Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "keys = [city for city, df in all_data.groupby(['City'])]\n",
    "\n",
    "plt.bar(keys,all_data.groupby(['City']).sum()['Sales'])\n",
    "plt.ylabel('Sales in USD')\n",
    "plt.xlabel('Cities')\n",
    "plt.xticks(keys, rotation='vertical', size=8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. What time should we display advertisements to maximize likelihood of customer's buying product?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### - Add hour column "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add hour column Takes time to run\n",
    "all_data['Hour'] = pd.to_datetime(all_data['Order Date']).dt.hour\n",
    "all_data['Minute'] = pd.to_datetime(all_data['Order Date']).dt.minute\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "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>City</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Hour</th>\n",
       "      <th>Minute</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>Dallas  (TX)</td>\n",
       "      <td>23.90</td>\n",
       "      <td>8</td>\n",
       "      <td>46</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>Boston  (MA)</td>\n",
       "      <td>99.99</td>\n",
       "      <td>22</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</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>Los Angeles  (CA)</td>\n",
       "      <td>600.00</td>\n",
       "      <td>14</td>\n",
       "      <td>38</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>Los Angeles  (CA)</td>\n",
       "      <td>11.99</td>\n",
       "      <td>14</td>\n",
       "      <td>38</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>Los Angeles  (CA)</td>\n",
       "      <td>11.99</td>\n",
       "      <td>9</td>\n",
       "      <td>27</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",
       "      <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>9</td>\n",
       "      <td>Los Angeles  (CA)</td>\n",
       "      <td>8.97</td>\n",
       "      <td>20</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186846</th>\n",
       "      <td>259354</td>\n",
       "      <td>iPhone</td>\n",
       "      <td>1</td>\n",
       "      <td>700.00</td>\n",
       "      <td>09/01/19 16:00</td>\n",
       "      <td>216 Dogwood St, San Francisco, CA 94016</td>\n",
       "      <td>9</td>\n",
       "      <td>San Francisco  (CA)</td>\n",
       "      <td>700.00</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186847</th>\n",
       "      <td>259355</td>\n",
       "      <td>iPhone</td>\n",
       "      <td>1</td>\n",
       "      <td>700.00</td>\n",
       "      <td>09/23/19 07:39</td>\n",
       "      <td>220 12th St, San Francisco, CA 94016</td>\n",
       "      <td>9</td>\n",
       "      <td>San Francisco  (CA)</td>\n",
       "      <td>700.00</td>\n",
       "      <td>7</td>\n",
       "      <td>39</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>9</td>\n",
       "      <td>San Francisco  (CA)</td>\n",
       "      <td>379.99</td>\n",
       "      <td>17</td>\n",
       "      <td>30</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>9</td>\n",
       "      <td>San Francisco  (CA)</td>\n",
       "      <td>11.95</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>185950 rows × 11 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      600.00   \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      700.00   \n",
       "186847   259355                      iPhone                 1      700.00   \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      4   \n",
       "2       04/07/19 22:30        682 Chestnut St, Boston, MA 02215      4   \n",
       "3       04/12/19 14:38     669 Spruce St, Los Angeles, CA 90001      4   \n",
       "4       04/12/19 14:38     669 Spruce St, Los Angeles, CA 90001      4   \n",
       "5       04/30/19 09:27        333 8th St, Los Angeles, CA 90001      4   \n",
       "...                ...                                      ...    ...   \n",
       "186845  09/17/19 20:56   840 Highland St, Los Angeles, CA 90001      9   \n",
       "186846  09/01/19 16:00  216 Dogwood St, San Francisco, CA 94016      9   \n",
       "186847  09/23/19 07:39     220 12th St, San Francisco, CA 94016      9   \n",
       "186848  09/19/19 17:30   511 Forest St, San Francisco, CA 94016      9   \n",
       "186849  09/30/19 00:18   250 Meadow St, San Francisco, CA 94016      9   \n",
       "\n",
       "                       City   Sales  Hour  Minute  \n",
       "0              Dallas  (TX)   23.90     8      46  \n",
       "2              Boston  (MA)   99.99    22      30  \n",
       "3         Los Angeles  (CA)  600.00    14      38  \n",
       "4         Los Angeles  (CA)   11.99    14      38  \n",
       "5         Los Angeles  (CA)   11.99     9      27  \n",
       "...                     ...     ...   ...     ...  \n",
       "186845    Los Angeles  (CA)    8.97    20      56  \n",
       "186846  San Francisco  (CA)  700.00    16       0  \n",
       "186847  San Francisco  (CA)  700.00     7      39  \n",
       "186848  San Francisco  (CA)  379.99    17      30  \n",
       "186849  San Francisco  (CA)   11.95     0      18  \n",
       "\n",
       "[185950 rows x 11 columns]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### - Data Visualisation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "hours = [hour for hour, df in all_data.groupby(['Hour'])]\n",
    "\n",
    "plt.plot(hours, all_data.groupby(['Hour']).count())\n",
    "plt.xticks(hours)\n",
    "plt.grid()\n",
    "plt.show()\n",
    "# My recommendation is slightly before 11am or 7pm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. What products are most often sold together?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "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>City</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Hour</th>\n",
       "      <th>Minute</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>Los Angeles  (CA)</td>\n",
       "      <td>600.00</td>\n",
       "      <td>14</td>\n",
       "      <td>38</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>Los Angeles  (CA)</td>\n",
       "      <td>11.99</td>\n",
       "      <td>14</td>\n",
       "      <td>38</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>Los Angeles  (CA)</td>\n",
       "      <td>600.00</td>\n",
       "      <td>19</td>\n",
       "      <td>42</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>Los Angeles  (CA)</td>\n",
       "      <td>11.95</td>\n",
       "      <td>19</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</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",
       "      <td>4</td>\n",
       "      <td>Boston  (MA)</td>\n",
       "      <td>99.99</td>\n",
       "      <td>11</td>\n",
       "      <td>31</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",
       "      <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>Atlanta  (GA)</td>\n",
       "      <td>3.84</td>\n",
       "      <td>20</td>\n",
       "      <td>18</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>Atlanta  (GA)</td>\n",
       "      <td>11.99</td>\n",
       "      <td>0</td>\n",
       "      <td>25</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>Atlanta  (GA)</td>\n",
       "      <td>5.98</td>\n",
       "      <td>0</td>\n",
       "      <td>25</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>San Francisco  (CA)</td>\n",
       "      <td>600.00</td>\n",
       "      <td>13</td>\n",
       "      <td>49</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>San Francisco  (CA)</td>\n",
       "      <td>11.95</td>\n",
       "      <td>13</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14649 rows × 11 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",
       "30       176585  Bose SoundSport Headphones                 1       99.99   \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  \\\n",
       "3       04/12/19 14:38   669 Spruce St, Los Angeles, CA 90001      4   \n",
       "4       04/12/19 14:38   669 Spruce St, Los Angeles, CA 90001      4   \n",
       "18      04/03/19 19:42      20 Hill St, Los Angeles, CA 90001      4   \n",
       "19      04/03/19 19:42      20 Hill St, Los Angeles, CA 90001      4   \n",
       "30      04/07/19 11:31      823 Highland St, Boston, MA 02215      4   \n",
       "...                ...                                    ...    ...   \n",
       "186792  09/20/19 20:18          106 7th St, Atlanta, GA 30301      9   \n",
       "186803  09/16/19 00:25     241 Highland St, Atlanta, GA 30301      9   \n",
       "186804  09/16/19 00:25     241 Highland St, Atlanta, GA 30301      9   \n",
       "186841  09/30/19 13:49  519 Maple St, San Francisco, CA 94016      9   \n",
       "186842  09/30/19 13:49  519 Maple St, San Francisco, CA 94016      9   \n",
       "\n",
       "                       City   Sales  Hour  Minute  \n",
       "3         Los Angeles  (CA)  600.00    14      38  \n",
       "4         Los Angeles  (CA)   11.99    14      38  \n",
       "18        Los Angeles  (CA)  600.00    19      42  \n",
       "19        Los Angeles  (CA)   11.95    19      42  \n",
       "30             Boston  (MA)   99.99    11      31  \n",
       "...                     ...     ...   ...     ...  \n",
       "186792        Atlanta  (GA)    3.84    20      18  \n",
       "186803        Atlanta  (GA)   11.99     0      25  \n",
       "186804        Atlanta  (GA)    5.98     0      25  \n",
       "186841  San Francisco  (CA)  600.00    13      49  \n",
       "186842  San Francisco  (CA)   11.95    13      49  \n",
       "\n",
       "[14649 rows x 11 columns]"
      ]
     },
     "execution_count": 198,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Creates a data frame with orders grouped together\n",
    "duplicate = all_data[all_data['Order ID'].duplicated(keep = False)]\n",
    "duplicate"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### - Create a Grouped Column with all products from Order ID"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "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>Grouped</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>Google Phone,Wired Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>Google Phone,Wired Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>176574</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>Google Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>176574</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>Google Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>176585</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>Bose SoundSport Headphones,Bose SoundSport Hea...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\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>34in Ultrawide Monitor,AA Batteries (4-pack)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186803</th>\n",
       "      <td>259314</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>Wired Headphones,AAA Batteries (4-pack)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186804</th>\n",
       "      <td>259314</td>\n",
       "      <td>AAA Batteries (4-pack)</td>\n",
       "      <td>Wired Headphones,AAA Batteries (4-pack)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186841</th>\n",
       "      <td>259350</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>Google Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186842</th>\n",
       "      <td>259350</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>Google Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14649 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Order ID                     Product  \\\n",
       "3        176560                Google Phone   \n",
       "4        176560            Wired Headphones   \n",
       "18       176574                Google Phone   \n",
       "19       176574        USB-C Charging Cable   \n",
       "30       176585  Bose SoundSport Headphones   \n",
       "...         ...                         ...   \n",
       "186792   259303       AA Batteries (4-pack)   \n",
       "186803   259314            Wired Headphones   \n",
       "186804   259314      AAA Batteries (4-pack)   \n",
       "186841   259350                Google Phone   \n",
       "186842   259350        USB-C Charging Cable   \n",
       "\n",
       "                                                  Grouped  \n",
       "3                           Google Phone,Wired Headphones  \n",
       "4                           Google Phone,Wired Headphones  \n",
       "18                      Google Phone,USB-C Charging Cable  \n",
       "19                      Google Phone,USB-C Charging Cable  \n",
       "30      Bose SoundSport Headphones,Bose SoundSport Hea...  \n",
       "...                                                   ...  \n",
       "186792       34in Ultrawide Monitor,AA Batteries (4-pack)  \n",
       "186803            Wired Headphones,AAA Batteries (4-pack)  \n",
       "186804            Wired Headphones,AAA Batteries (4-pack)  \n",
       "186841                  Google Phone,USB-C Charging Cable  \n",
       "186842                  Google Phone,USB-C Charging Cable  \n",
       "\n",
       "[14649 rows x 3 columns]"
      ]
     },
     "execution_count": 199,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dup = duplicate.loc[:, ['Order ID', 'Product']]\n",
    "dup['Grouped'] = dup.groupby('Order ID')['Product'].transform(lambda x: ','.join(x))\n",
    "dup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### - Dropping grouped duplicates created"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {
    "scrolled": false
   },
   "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</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone,Wired Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>176574</td>\n",
       "      <td>Google Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>176585</td>\n",
       "      <td>Bose SoundSport Headphones,Bose SoundSport Hea...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>176586</td>\n",
       "      <td>AAA Batteries (4-pack),Google Phone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>176672</td>\n",
       "      <td>Lightning Charging Cable,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>176681</td>\n",
       "      <td>Apple Airpods Headphones,ThinkPad Laptop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>176689</td>\n",
       "      <td>Bose SoundSport Headphones,AAA Batteries (4-pack)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>176739</td>\n",
       "      <td>34in Ultrawide Monitor,Google Phone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>176774</td>\n",
       "      <td>Lightning Charging Cable,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>176781</td>\n",
       "      <td>iPhone,Lightning Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>176797</td>\n",
       "      <td>Google Phone,Bose SoundSport Headphones,Wired ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>176805</td>\n",
       "      <td>Google Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>176808</td>\n",
       "      <td>Google Phone,Wired Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>176813</td>\n",
       "      <td>Google Phone,Wired Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>176935</td>\n",
       "      <td>AAA Batteries (4-pack),27in FHD Monitor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435</th>\n",
       "      <td>176975</td>\n",
       "      <td>USB-C Charging Cable,AAA Batteries (4-pack)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>176989</td>\n",
       "      <td>Google Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>176993</td>\n",
       "      <td>iPhone,Wired Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>485</th>\n",
       "      <td>177022</td>\n",
       "      <td>iPhone,Wired Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>177102</td>\n",
       "      <td>iPhone,27in 4K Gaming Monitor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>581</th>\n",
       "      <td>177115</td>\n",
       "      <td>iPhone,Lightning Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>584</th>\n",
       "      <td>177117</td>\n",
       "      <td>ThinkPad Laptop,AAA Batteries (4-pack)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>635</th>\n",
       "      <td>177167</td>\n",
       "      <td>iPhone,Apple Airpods Headphones,AAA Batteries ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>648</th>\n",
       "      <td>177178</td>\n",
       "      <td>iPhone,Lightning Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>652</th>\n",
       "      <td>177181</td>\n",
       "      <td>Wired Headphones,Apple Airpods Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>654</th>\n",
       "      <td>177182</td>\n",
       "      <td>Macbook Pro Laptop,ThinkPad Laptop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>657</th>\n",
       "      <td>177184</td>\n",
       "      <td>AA Batteries (4-pack),Flatscreen TV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>672</th>\n",
       "      <td>177198</td>\n",
       "      <td>Vareebadd Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>676</th>\n",
       "      <td>177201</td>\n",
       "      <td>USB-C Charging Cable,Lightning Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>689</th>\n",
       "      <td>177213</td>\n",
       "      <td>iPhone,Lightning Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>705</th>\n",
       "      <td>177228</td>\n",
       "      <td>Google Phone,AA Batteries (4-pack)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>732</th>\n",
       "      <td>177254</td>\n",
       "      <td>AA Batteries (4-pack),AAA Batteries (4-pack)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>736</th>\n",
       "      <td>177256</td>\n",
       "      <td>Bose SoundSport Headphones,AA Batteries (4-pack)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>781</th>\n",
       "      <td>177300</td>\n",
       "      <td>20in Monitor,Apple Airpods Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>849</th>\n",
       "      <td>177367</td>\n",
       "      <td>Google Phone,USB-C Charging Cable,Bose SoundSp...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>882</th>\n",
       "      <td>177398</td>\n",
       "      <td>27in FHD Monitor,AAA Batteries (4-pack)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>913</th>\n",
       "      <td>177428</td>\n",
       "      <td>Vareebadd Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>927</th>\n",
       "      <td>177441</td>\n",
       "      <td>iPhone,Lightning Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>930</th>\n",
       "      <td>177443</td>\n",
       "      <td>Apple Airpods Headphones,27in 4K Gaming Monitor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>936</th>\n",
       "      <td>177448</td>\n",
       "      <td>Google Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>975</th>\n",
       "      <td>177486</td>\n",
       "      <td>ThinkPad Laptop,Google Phone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>177504</td>\n",
       "      <td>Google Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>177506</td>\n",
       "      <td>iPhone,Apple Airpods Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1003</th>\n",
       "      <td>177511</td>\n",
       "      <td>iPhone,Lightning Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1062</th>\n",
       "      <td>177569</td>\n",
       "      <td>Wired Headphones,Google Phone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1072</th>\n",
       "      <td>177578</td>\n",
       "      <td>Google Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1077</th>\n",
       "      <td>177582</td>\n",
       "      <td>Bose SoundSport Headphones,Wired Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1088</th>\n",
       "      <td>177592</td>\n",
       "      <td>iPhone,Lightning Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1135</th>\n",
       "      <td>177638</td>\n",
       "      <td>Apple Airpods Headphones,Google Phone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1181</th>\n",
       "      <td>177681</td>\n",
       "      <td>AAA Batteries (4-pack),Macbook Pro Laptop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Order ID                                            Grouped\n",
       "3      176560                      Google Phone,Wired Headphones\n",
       "18     176574                  Google Phone,USB-C Charging Cable\n",
       "30     176585  Bose SoundSport Headphones,Bose SoundSport Hea...\n",
       "32     176586                AAA Batteries (4-pack),Google Phone\n",
       "119    176672      Lightning Charging Cable,USB-C Charging Cable\n",
       "129    176681           Apple Airpods Headphones,ThinkPad Laptop\n",
       "138    176689  Bose SoundSport Headphones,AAA Batteries (4-pack)\n",
       "189    176739                34in Ultrawide Monitor,Google Phone\n",
       "225    176774      Lightning Charging Cable,USB-C Charging Cable\n",
       "233    176781                    iPhone,Lightning Charging Cable\n",
       "250    176797  Google Phone,Bose SoundSport Headphones,Wired ...\n",
       "260    176805                  Google Phone,USB-C Charging Cable\n",
       "264    176808                      Google Phone,Wired Headphones\n",
       "270    176813                      Google Phone,Wired Headphones\n",
       "394    176935            AAA Batteries (4-pack),27in FHD Monitor\n",
       "435    176975        USB-C Charging Cable,AAA Batteries (4-pack)\n",
       "450    176989                  Google Phone,USB-C Charging Cable\n",
       "455    176993                            iPhone,Wired Headphones\n",
       "485    177022                            iPhone,Wired Headphones\n",
       "567    177102                      iPhone,27in 4K Gaming Monitor\n",
       "581    177115                    iPhone,Lightning Charging Cable\n",
       "584    177117             ThinkPad Laptop,AAA Batteries (4-pack)\n",
       "635    177167  iPhone,Apple Airpods Headphones,AAA Batteries ...\n",
       "648    177178                    iPhone,Lightning Charging Cable\n",
       "652    177181          Wired Headphones,Apple Airpods Headphones\n",
       "654    177182                 Macbook Pro Laptop,ThinkPad Laptop\n",
       "657    177184                AA Batteries (4-pack),Flatscreen TV\n",
       "672    177198               Vareebadd Phone,USB-C Charging Cable\n",
       "676    177201      USB-C Charging Cable,Lightning Charging Cable\n",
       "689    177213                    iPhone,Lightning Charging Cable\n",
       "705    177228                 Google Phone,AA Batteries (4-pack)\n",
       "732    177254       AA Batteries (4-pack),AAA Batteries (4-pack)\n",
       "736    177256   Bose SoundSport Headphones,AA Batteries (4-pack)\n",
       "781    177300              20in Monitor,Apple Airpods Headphones\n",
       "849    177367  Google Phone,USB-C Charging Cable,Bose SoundSp...\n",
       "882    177398            27in FHD Monitor,AAA Batteries (4-pack)\n",
       "913    177428               Vareebadd Phone,USB-C Charging Cable\n",
       "927    177441                    iPhone,Lightning Charging Cable\n",
       "930    177443    Apple Airpods Headphones,27in 4K Gaming Monitor\n",
       "936    177448                  Google Phone,USB-C Charging Cable\n",
       "975    177486                       ThinkPad Laptop,Google Phone\n",
       "994    177504                  Google Phone,USB-C Charging Cable\n",
       "997    177506                    iPhone,Apple Airpods Headphones\n",
       "1003   177511                    iPhone,Lightning Charging Cable\n",
       "1062   177569                      Wired Headphones,Google Phone\n",
       "1072   177578                  Google Phone,USB-C Charging Cable\n",
       "1077   177582        Bose SoundSport Headphones,Wired Headphones\n",
       "1088   177592                    iPhone,Lightning Charging Cable\n",
       "1135   177638              Apple Airpods Headphones,Google Phone\n",
       "1181   177681          AAA Batteries (4-pack),Macbook Pro Laptop"
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp = dup[['Order ID', 'Grouped']].drop_duplicates()\n",
    "temp.head(50)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### - Count products bought together"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(('iPhone', 'Lightning Charging Cable'), 2140), (('Google Phone', 'USB-C Charging Cable'), 2116), (('iPhone', 'Wired Headphones'), 987), (('Google Phone', 'Wired Headphones'), 949), (('iPhone', 'Apple Airpods Headphones'), 799), (('Vareebadd Phone', 'USB-C Charging Cable'), 773), (('Google Phone', 'Bose SoundSport Headphones'), 503), (('USB-C Charging Cable', 'Wired Headphones'), 452), (('Vareebadd Phone', 'Wired Headphones'), 327), (('Lightning Charging Cable', 'Wired Headphones'), 253)]\n"
     ]
    }
   ],
   "source": [
    "#found this on stack overflow xD\n",
    "\n",
    "from itertools import combinations\n",
    "from collections import Counter\n",
    "\n",
    "count = Counter()\n",
    "\n",
    "for row in dup['Grouped']:\n",
    "    row_list = row.split(',')\n",
    "    count.update(Counter(combinations(row_list, 2))) # change the 2 with 3 and can check 3 products that are bought together\n",
    "\n",
    "    \n",
    "\n",
    "print(count.most_common(10))\n",
    "#for key,value in count.most_common(100):\n",
    "    #print(key, value)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### - Dataframe Visualisation for count of products bought together"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "metadata": {
    "scrolled": false
   },
   "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>Products</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(iPhone, Lightning Charging Cable)</td>\n",
       "      <td>2140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>(Google Phone, USB-C Charging Cable)</td>\n",
       "      <td>2116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(iPhone, Wired Headphones)</td>\n",
       "      <td>987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>(Google Phone, Wired Headphones)</td>\n",
       "      <td>949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>(iPhone, Apple Airpods Headphones)</td>\n",
       "      <td>799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>(Vareebadd Phone, USB-C Charging Cable)</td>\n",
       "      <td>773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>(Google Phone, Bose SoundSport Headphones)</td>\n",
       "      <td>503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>(USB-C Charging Cable, Wired Headphones)</td>\n",
       "      <td>452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>(Vareebadd Phone, Wired Headphones)</td>\n",
       "      <td>327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>(Lightning Charging Cable, Wired Headphones)</td>\n",
       "      <td>253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>(Lightning Charging Cable, Apple Airpods Headp...</td>\n",
       "      <td>214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>(USB-C Charging Cable, Bose SoundSport Headpho...</td>\n",
       "      <td>211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>(Vareebadd Phone, Bose SoundSport Headphones)</td>\n",
       "      <td>182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>(Apple Airpods Headphones, Wired Headphones)</td>\n",
       "      <td>170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>(Bose SoundSport Headphones, Wired Headphones)</td>\n",
       "      <td>140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>(Lightning Charging Cable, USB-C Charging Cable)</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>(Lightning Charging Cable, AA Batteries (4-pack))</td>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>(Lightning Charging Cable, Lightning Charging ...</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>(AA Batteries (4-pack), Lightning Charging Cable)</td>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>(AAA Batteries (4-pack), USB-C Charging Cable)</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             Products  Count\n",
       "0                  (iPhone, Lightning Charging Cable)   2140\n",
       "1                (Google Phone, USB-C Charging Cable)   2116\n",
       "2                          (iPhone, Wired Headphones)    987\n",
       "3                    (Google Phone, Wired Headphones)    949\n",
       "4                  (iPhone, Apple Airpods Headphones)    799\n",
       "5             (Vareebadd Phone, USB-C Charging Cable)    773\n",
       "6          (Google Phone, Bose SoundSport Headphones)    503\n",
       "7            (USB-C Charging Cable, Wired Headphones)    452\n",
       "8                 (Vareebadd Phone, Wired Headphones)    327\n",
       "9        (Lightning Charging Cable, Wired Headphones)    253\n",
       "10  (Lightning Charging Cable, Apple Airpods Headp...    214\n",
       "11  (USB-C Charging Cable, Bose SoundSport Headpho...    211\n",
       "12      (Vareebadd Phone, Bose SoundSport Headphones)    182\n",
       "13       (Apple Airpods Headphones, Wired Headphones)    170\n",
       "14     (Bose SoundSport Headphones, Wired Headphones)    140\n",
       "15   (Lightning Charging Cable, USB-C Charging Cable)    120\n",
       "16  (Lightning Charging Cable, AA Batteries (4-pack))    114\n",
       "17  (Lightning Charging Cable, Lightning Charging ...    111\n",
       "18  (AA Batteries (4-pack), Lightning Charging Cable)    102\n",
       "19     (AAA Batteries (4-pack), USB-C Charging Cable)    100"
      ]
     },
     "execution_count": 233,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keys = []\n",
    "values = []\n",
    "for key,value in count.most_common(20):\n",
    "    keys.append(key)\n",
    "    values.append(value)\n",
    "\n",
    "data = {'Products':keys,\n",
    "        'Count':values}\n",
    "\n",
    "bought_together = pd.DataFrame(data)\n",
    "bought_together"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5. What product sold the most? Why do you think it sold the most?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {
    "scrolled": false
   },
   "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>City</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Hour</th>\n",
       "      <th>Minute</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>Dallas  (TX)</td>\n",
       "      <td>23.90</td>\n",
       "      <td>8</td>\n",
       "      <td>46</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>Boston  (MA)</td>\n",
       "      <td>99.99</td>\n",
       "      <td>22</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</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>Los Angeles  (CA)</td>\n",
       "      <td>600.00</td>\n",
       "      <td>14</td>\n",
       "      <td>38</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>Los Angeles  (CA)</td>\n",
       "      <td>11.99</td>\n",
       "      <td>14</td>\n",
       "      <td>38</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>Los Angeles  (CA)</td>\n",
       "      <td>11.99</td>\n",
       "      <td>9</td>\n",
       "      <td>27</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",
       "3   176560                Google Phone                 1      600.00   \n",
       "4   176560            Wired Headphones                 1       11.99   \n",
       "5   176561            Wired Headphones                 1       11.99   \n",
       "\n",
       "       Order Date                      Purchase Address  Month  \\\n",
       "0  04/19/19 08:46          917 1st St, Dallas, TX 75001      4   \n",
       "2  04/07/19 22:30     682 Chestnut St, Boston, MA 02215      4   \n",
       "3  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001      4   \n",
       "4  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001      4   \n",
       "5  04/30/19 09:27     333 8th St, Los Angeles, CA 90001      4   \n",
       "\n",
       "                City   Sales  Hour  Minute  \n",
       "0       Dallas  (TX)   23.90     8      46  \n",
       "2       Boston  (MA)   99.99    22      30  \n",
       "3  Los Angeles  (CA)  600.00    14      38  \n",
       "4  Los Angeles  (CA)   11.99    14      38  \n",
       "5  Los Angeles  (CA)   11.99     9      27  "
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "product_group = all_data.groupby('Product')\n",
    "quantity_ordered = product_group.sum()['Quantity Ordered']\n",
    "\n",
    "products = [product for product, df in product_group]\n",
    "plt.bar(products, quantity_ordered)\n",
    "plt.xticks(products, rotation='vertical', size=8)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
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