Sales_Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b16eb569-b02d-4be3-a3bf-ecd62ad9aa01",
   "metadata": {},
   "source": [
    "## Import the necessary libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "bbea5d36-a550-492e-bdb7-87c6bd309528",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import os\n",
    "import datetime"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b074b63-a250-49de-a95c-532da45c0f1a",
   "metadata": {},
   "source": [
    "#### Changing the style of the plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5ebae9b7-4771-4be3-bb42-8982e1c2c94b",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.style.use(\"ggplot\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4773a62b-e9e3-42b8-af81-e464cb2500f8",
   "metadata": {},
   "source": [
    "### Merging 12 months of sales data into a single CSV file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b9b96ace-3c36-4259-844a-4cfe548d9b97",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"./Sales_Dataset/Sales_April_2019.csv\")\n",
    "\n",
    "files = [file for file in os.listdir('./Sales_Dataset/')]\n",
    "\n",
    "all_months_data = pd.DataFrame()\n",
    "\n",
    "for file in files:\n",
    "    df = pd.read_csv(\"./Sales_Dataset/\"+file)\n",
    "    all_months_data = pd.concat([all_months_data, df])\n",
    "\n",
    "\n",
    "all_months_data.to_csv(\"all_data.csv\", index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2800903-3b3b-43f4-80b8-54857fb8ca6d",
   "metadata": {},
   "source": [
    "### Read in Updated Dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e06e9c61-e60a-4c61-9a1f-6037c0e2a555",
   "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>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",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order ID                     Product Quantity Ordered Price Each  \\\n",
       "0   176558        USB-C Charging Cable                2      11.95   \n",
       "1      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",
       "       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  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data = pd.read_csv(\"all_data.csv\")\n",
    "all_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64a22bd3-37c4-4dc5-a52a-13b03f72f514",
   "metadata": {},
   "source": [
    "### Cleanup the data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00f26534-70da-4546-9b93-6a55fd78c1c5",
   "metadata": {},
   "source": [
    "#### Drop rows of NaN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "966e45e0-9e0c-4aa1-bb60-412d78c4fe02",
   "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",
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       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
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       "      <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",
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       "    <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",
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      "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"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nan_df = all_data[all_data.isna().any(axis=1)]\n",
    "nan_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d6ba4108-a813-477c-96f9-404c99d2edcd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Order ID            0\n",
       "Product             0\n",
       "Quantity Ordered    0\n",
       "Price Each          0\n",
       "Order Date          0\n",
       "Purchase Address    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data = all_data.dropna(how='all')\n",
    "all_data.head()\n",
    "\n",
    "all_data.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8b0c197-a3a0-4706-af3e-da23e345372e",
   "metadata": {},
   "source": [
    "#### Finf 'Or' rows and delete it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e632f1da-2408-4c8d-97d0-7bcfa583bc71",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
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       "      <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": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data = all_data[all_data['Order Date'].str[0:2] != 'Or']\n",
    "all_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61f214ff-3b0d-4d31-b693-1f963bb776e5",
   "metadata": {},
   "source": [
    "#### Convert columns to correct type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f1fa38c1-2136-44b5-bed6-fd7c9bbbf1a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data[\"Quantity Ordered\"] = pd.to_numeric(all_data['Quantity Ordered'])  # making int\n",
    "all_data[\"Price Each\"] = pd.to_numeric(all_data['Price Each'])            # making float"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a01c8189-3a0f-4ced-8c46-024c57aa0939",
   "metadata": {},
   "source": [
    "### Augment Data with additional columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "65b48f3a-a65e-40c5-ad72-f40b50abc741",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Order ID', 'Product', 'Quantity Ordered', 'Price Each', 'Order Date',\n",
       "       'Purchase Address'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a524fb6-3258-4570-8061-51961728dcb2",
   "metadata": {},
   "source": [
    "#### Add a month column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9bab245c-6ce8-41b1-abf6-5924ac978597",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
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       "      <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",
       "    </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",
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       "    <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",
       "    </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",
       "    </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",
       "    </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  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data['Month'] = all_data['Order Date'].str[0:2]\n",
    "all_data['Month'] = all_data['Month'].astype('int32')\n",
    "all_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "7fe533d7-16e0-4429-b7a6-ebe9f035ff56",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Order ID             object\n",
       "Product              object\n",
       "Quantity Ordered      int64\n",
       "Price Each          float64\n",
       "Order Date           object\n",
       "Purchase Address     object\n",
       "Month                 int32\n",
       "dtype: object"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d58b2e26-ace8-41b1-8e16-21e2c18e0025",
   "metadata": {},
   "source": [
    "##### Add a Sales Column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7b0d6bc4-0c32-4532-9679-295e303602df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\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",
       "      <th>Month</th>\n",
       "      <th>Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>176558</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/19/19 08:46</td>\n",
       "      <td>917 1st St, Dallas, TX 75001</td>\n",
       "      <td>4</td>\n",
       "      <td>23.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>176559</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>04/07/19 22:30</td>\n",
       "      <td>682 Chestnut St, Boston, MA 02215</td>\n",
       "      <td>4</td>\n",
       "      <td>99.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>600.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>176561</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/30/19 09:27</td>\n",
       "      <td>333 8th St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "    </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   Sales  \n",
       "0  04/19/19 08:46          917 1st St, Dallas, TX 75001      4   23.90  \n",
       "2  04/07/19 22:30     682 Chestnut St, Boston, MA 02215      4   99.99  \n",
       "3  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001      4  600.00  \n",
       "4  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001      4   11.99  \n",
       "5  04/30/19 09:27     333 8th St, Los Angeles, CA 90001      4   11.99  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data[\"Sales\"] = all_data[\"Quantity Ordered\"] * all_data[\"Price Each\"]\n",
    "all_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4483af94-2399-44c5-8c2e-ade113f71064",
   "metadata": {},
   "source": [
    "#### Adding a new column 'city'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "4982bb2c-b16c-412d-acd1-5fef5adec2d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>Sales</th>\n",
       "      <th>City</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>176558</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/19/19 08:46</td>\n",
       "      <td>917 1st St, Dallas, TX 75001</td>\n",
       "      <td>4</td>\n",
       "      <td>23.90</td>\n",
       "      <td>Dallas (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>99.99</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>600.00</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>11.99</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>11.99</td>\n",
       "      <td>Los Angeles (CA)</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   Sales  \\\n",
       "0  04/19/19 08:46          917 1st St, Dallas, TX 75001      4   23.90   \n",
       "2  04/07/19 22:30     682 Chestnut St, Boston, MA 02215      4   99.99   \n",
       "3  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001      4  600.00   \n",
       "4  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001      4   11.99   \n",
       "5  04/30/19 09:27     333 8th St, Los Angeles, CA 90001      4   11.99   \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)  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Alternative way to get the city name\n",
    "all_data[\"City\"] = all_data['Purchase Address'].str.split(\",\",expand=True)[1]\n",
    "\"\"\"\n",
    "def getState(address):\n",
    "    return address.split(\",\")[2].split(' ')[1]\n",
    "\n",
    "def getCity(address):\n",
    "    return address.split(',')[1]\n",
    "getCity('917 1st St, Dallas, TX 75001')\n",
    "\n",
    "all_data['City'] = all_data['Purchase Address'].apply(lambda x: f\"{getCity(x)} ({getState(x)})\")\n",
    "\n",
    "all_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33b564b2-fef3-47b3-86fc-8379fa1ff7f8",
   "metadata": {},
   "source": [
    "### Question 1: What was the best month for Sales? How much was earned that month?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8602a824-0be4-4c61-aa62-690d487b5ae5",
   "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>1811768.38</td>\n",
       "      <td>1822256.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13449</td>\n",
       "      <td>2188884.72</td>\n",
       "      <td>2202022.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>17005</td>\n",
       "      <td>2791207.83</td>\n",
       "      <td>2807100.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20558</td>\n",
       "      <td>3367671.02</td>\n",
       "      <td>3390670.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>18667</td>\n",
       "      <td>3135125.13</td>\n",
       "      <td>3152606.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>15253</td>\n",
       "      <td>2562025.61</td>\n",
       "      <td>2577802.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>16072</td>\n",
       "      <td>2632539.56</td>\n",
       "      <td>2647775.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>13448</td>\n",
       "      <td>2230345.42</td>\n",
       "      <td>2244467.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>13109</td>\n",
       "      <td>2084992.09</td>\n",
       "      <td>2097560.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>22703</td>\n",
       "      <td>3715554.83</td>\n",
       "      <td>3736726.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>19798</td>\n",
       "      <td>3180600.68</td>\n",
       "      <td>3199603.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>28114</td>\n",
       "      <td>4588415.41</td>\n",
       "      <td>4613443.34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Quantity Ordered  Price Each       Sales\n",
       "Month                                          \n",
       "1                 10903  1811768.38  1822256.73\n",
       "2                 13449  2188884.72  2202022.42\n",
       "3                 17005  2791207.83  2807100.38\n",
       "4                 20558  3367671.02  3390670.24\n",
       "5                 18667  3135125.13  3152606.75\n",
       "6                 15253  2562025.61  2577802.26\n",
       "7                 16072  2632539.56  2647775.76\n",
       "8                 13448  2230345.42  2244467.88\n",
       "9                 13109  2084992.09  2097560.13\n",
       "10                22703  3715554.83  3736726.88\n",
       "11                19798  3180600.68  3199603.20\n",
       "12                28114  4588415.41  4613443.34"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.groupby('Month').sum(numeric_only=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "593b0a56-0a15-4435-9950-d69ada97231e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.ticklabel_format(style='plain')   # to prevent the scientific notation\n",
    "\n",
    "months = [datetime.date(1900, monthinteger, 1).strftime('%B') for monthinteger in range(1,13)]\n",
    "results = all_data.groupby('Month').sum(numeric_only=True)\n",
    "\n",
    "plt.title(\"Monthly Sales\")\n",
    "plt.bar(months, results['Sales'], color=\"green\")\n",
    "\n",
    "plt.xticks(months, rotation=\"vertical\",size=8)\n",
    "plt.yticks(size = 8)\n",
    "plt.xlabel('Month Number')\n",
    "plt.ylabel('Sales in USD($)')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c57466b2-7a0f-4ddf-ad0e-3f161cf7b6ff",
   "metadata": {},
   "source": [
    "### Question 2: What city had the highest number of sales?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "51e1954c-45b5-473b-b324-6c5ab3fe8132",
   "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>2779908.20</td>\n",
       "      <td>104794</td>\n",
       "      <td>2795498.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Austin (TX)</th>\n",
       "      <td>11153</td>\n",
       "      <td>1809873.61</td>\n",
       "      <td>69829</td>\n",
       "      <td>1819581.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Boston (MA)</th>\n",
       "      <td>22528</td>\n",
       "      <td>3637409.77</td>\n",
       "      <td>141112</td>\n",
       "      <td>3661642.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dallas (TX)</th>\n",
       "      <td>16730</td>\n",
       "      <td>2752627.82</td>\n",
       "      <td>104620</td>\n",
       "      <td>2767975.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Los Angeles (CA)</th>\n",
       "      <td>33289</td>\n",
       "      <td>5421435.23</td>\n",
       "      <td>208325</td>\n",
       "      <td>5452570.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York City (NY)</th>\n",
       "      <td>27932</td>\n",
       "      <td>4635370.83</td>\n",
       "      <td>175741</td>\n",
       "      <td>4664317.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Portland (ME)</th>\n",
       "      <td>2750</td>\n",
       "      <td>447189.25</td>\n",
       "      <td>17144</td>\n",
       "      <td>449758.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Portland (OR)</th>\n",
       "      <td>11303</td>\n",
       "      <td>1860558.22</td>\n",
       "      <td>70621</td>\n",
       "      <td>1870732.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>San Francisco (CA)</th>\n",
       "      <td>50239</td>\n",
       "      <td>8211461.74</td>\n",
       "      <td>315520</td>\n",
       "      <td>8262203.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Seattle (WA)</th>\n",
       "      <td>16553</td>\n",
       "      <td>2733296.01</td>\n",
       "      <td>104941</td>\n",
       "      <td>2747755.48</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Quantity Ordered  Price Each   Month       Sales\n",
       "City                                                                \n",
       "Atlanta (GA)                   16602  2779908.20  104794  2795498.58\n",
       "Austin (TX)                    11153  1809873.61   69829  1819581.75\n",
       "Boston (MA)                    22528  3637409.77  141112  3661642.01\n",
       "Dallas (TX)                    16730  2752627.82  104620  2767975.40\n",
       "Los Angeles (CA)               33289  5421435.23  208325  5452570.80\n",
       "New York City (NY)             27932  4635370.83  175741  4664317.43\n",
       "Portland (ME)                   2750   447189.25   17144   449758.27\n",
       "Portland (OR)                  11303  1860558.22   70621  1870732.34\n",
       "San Francisco (CA)             50239  8211461.74  315520  8262203.91\n",
       "Seattle (WA)                   16553  2733296.01  104941  2747755.48"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.groupby('City').sum(numeric_only=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "f469ab67-936f-4bb7-8de9-0b0f0bfcead6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "records = all_data.groupby('City').sum(numeric_only=True)\n",
    "cities = [city for city in records.index]\n",
    "\n",
    "\n",
    "plt.ticklabel_format(style='plain')  # to prevent the scientific notation\n",
    "plt.bar(cities,records['Sales'],color=\"tab:blue\")\n",
    "plt.xticks(cities,rotation=\"vertical\", size=8)\n",
    "plt.xlabel('Cities')\n",
    "plt.ylabel('Sales in USD($)')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7df105d9-f572-4d19-8757-48b92248c410",
   "metadata": {},
   "source": [
    "### Question 3: What time should we display advertisements to maximize likelihood of customer's buying product"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "3cb4ccfa-acbd-4424-bc86-27e6e0c13ae7",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\User\\AppData\\Local\\Temp\\ipykernel_20120\\3842191188.py:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n",
      "  all_data['Order Date'] = pd.to_datetime(all_data['Order Date'])\n"
     ]
    }
   ],
   "source": [
    "all_data['Order Date'] = pd.to_datetime(all_data['Order Date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "1ae758d5-c7b6-4cbb-a918-6bf0407b7f07",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>Sales</th>\n",
       "      <th>City</th>\n",
       "      <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>2019-04-19 08:46:00</td>\n",
       "      <td>917 1st St, Dallas, TX 75001</td>\n",
       "      <td>4</td>\n",
       "      <td>23.90</td>\n",
       "      <td>Dallas (TX)</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>2019-04-07 22:30:00</td>\n",
       "      <td>682 Chestnut St, Boston, MA 02215</td>\n",
       "      <td>4</td>\n",
       "      <td>99.99</td>\n",
       "      <td>Boston (MA)</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>2019-04-12 14:38:00</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>600.00</td>\n",
       "      <td>Los Angeles (CA)</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>2019-04-12 14:38:00</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles (CA)</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>2019-04-30 09:27:00</td>\n",
       "      <td>333 8th St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles (CA)</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   Sales  \\\n",
       "0 2019-04-19 08:46:00          917 1st St, Dallas, TX 75001      4   23.90   \n",
       "2 2019-04-07 22:30:00     682 Chestnut St, Boston, MA 02215      4   99.99   \n",
       "3 2019-04-12 14:38:00  669 Spruce St, Los Angeles, CA 90001      4  600.00   \n",
       "4 2019-04-12 14:38:00  669 Spruce St, Los Angeles, CA 90001      4   11.99   \n",
       "5 2019-04-30 09:27:00     333 8th St, Los Angeles, CA 90001      4   11.99   \n",
       "\n",
       "                City  Hour  Minute  \n",
       "0        Dallas (TX)     8      46  \n",
       "2        Boston (MA)    22      30  \n",
       "3   Los Angeles (CA)    14      38  \n",
       "4   Los Angeles (CA)    14      38  \n",
       "5   Los Angeles (CA)     9      27  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data['Hour'] = all_data['Order Date'].dt.hour\n",
    "all_data['Minute'] = all_data['Order Date'].dt.minute\n",
    "all_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "59cb4c4f-defb-4690-97b0-8c50d4bc28a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "results = all_data.groupby(['Hour']).count()\n",
    "hours = [hour for hour in results.index]\n",
    "\n",
    "plt.plot(hours,results,marker=\".\",color=\"tab:blue\")\n",
    "plt.xticks(hours, rotation=\"vertical\")\n",
    "plt.xlabel(\"Hours\")\n",
    "plt.ylabel(\"Number of Orders\")\n",
    "\n",
    "plt.show()\n",
    "\n",
    "# Plot the Number of Order in Each City at every hour."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b520caa-218c-4b01-b46b-6b9bc13ed291",
   "metadata": {},
   "source": [
    "### Question 4: What Products are most often sold together?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "f1993145-1bf6-4da0-ad8d-ed4e8d967d61",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>Sales</th>\n",
       "      <th>City</th>\n",
       "      <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>2019-04-19 08:46:00</td>\n",
       "      <td>917 1st St, Dallas, TX 75001</td>\n",
       "      <td>4</td>\n",
       "      <td>23.90</td>\n",
       "      <td>Dallas (TX)</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>2019-04-07 22:30:00</td>\n",
       "      <td>682 Chestnut St, Boston, MA 02215</td>\n",
       "      <td>4</td>\n",
       "      <td>99.99</td>\n",
       "      <td>Boston (MA)</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>2019-04-12 14:38:00</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>600.00</td>\n",
       "      <td>Los Angeles (CA)</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>2019-04-12 14:38:00</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles (CA)</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>2019-04-30 09:27:00</td>\n",
       "      <td>333 8th St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles (CA)</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   Sales  \\\n",
       "0 2019-04-19 08:46:00          917 1st St, Dallas, TX 75001      4   23.90   \n",
       "2 2019-04-07 22:30:00     682 Chestnut St, Boston, MA 02215      4   99.99   \n",
       "3 2019-04-12 14:38:00  669 Spruce St, Los Angeles, CA 90001      4  600.00   \n",
       "4 2019-04-12 14:38:00  669 Spruce St, Los Angeles, CA 90001      4   11.99   \n",
       "5 2019-04-30 09:27:00     333 8th St, Los Angeles, CA 90001      4   11.99   \n",
       "\n",
       "                City  Hour  Minute  \n",
       "0        Dallas (TX)     8      46  \n",
       "2        Boston (MA)    22      30  \n",
       "3   Los Angeles (CA)    14      38  \n",
       "4   Los Angeles (CA)    14      38  \n",
       "5   Los Angeles (CA)     9      27  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "ddea3abb-4f34-4496-9133-80412bc84729",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\User\\AppData\\Local\\Temp\\ipykernel_20120\\3418587492.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['Grouped'] = df.groupby('Order ID')['Product'].transform(lambda x: ','.join(x))\n"
     ]
    },
    {
     "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>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2662</th>\n",
       "      <td>179108</td>\n",
       "      <td>Lightning Charging Cable,AAA Batteries (4-pack)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2683</th>\n",
       "      <td>179128</td>\n",
       "      <td>iPhone,Apple Airpods Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2718</th>\n",
       "      <td>179162</td>\n",
       "      <td>Google Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2783</th>\n",
       "      <td>179226</td>\n",
       "      <td>34in Ultrawide Monitor,Macbook Pro Laptop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2829</th>\n",
       "      <td>179270</td>\n",
       "      <td>iPhone,Lightning Charging Cable</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 2 columns</p>\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",
       "...       ...                                                ...\n",
       "2662   179108    Lightning Charging Cable,AAA Batteries (4-pack)\n",
       "2683   179128                    iPhone,Apple Airpods Headphones\n",
       "2718   179162                  Google Phone,USB-C Charging Cable\n",
       "2783   179226          34in Ultrawide Monitor,Macbook Pro Laptop\n",
       "2829   179270                    iPhone,Lightning Charging Cable\n",
       "\n",
       "[100 rows x 2 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = all_data[all_data['Order ID'].duplicated(keep=False)]\n",
    "\n",
    "df['Grouped'] = df.groupby('Order ID')['Product'].transform(lambda x: ','.join(x))\n",
    "\n",
    "df = df[['Order ID','Grouped']].drop_duplicates()\n",
    "df.head(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "31aa446d-01ea-46c2-b3c7-57278eb171ef",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('iPhone', 'Lightning Charging Cable') 1005\n",
      "('Google Phone', 'USB-C Charging Cable') 987\n",
      "('iPhone', 'Wired Headphones') 447\n",
      "('Google Phone', 'Wired Headphones') 414\n",
      "('Vareebadd Phone', 'USB-C Charging Cable') 361\n",
      "('iPhone', 'Apple Airpods Headphones') 360\n",
      "('Google Phone', 'Bose SoundSport Headphones') 220\n",
      "('USB-C Charging Cable', 'Wired Headphones') 160\n",
      "('Vareebadd Phone', 'Wired Headphones') 143\n",
      "('Lightning Charging Cable', 'Wired Headphones') 92\n"
     ]
    }
   ],
   "source": [
    "from itertools import combinations\n",
    "from collections import Counter \n",
    "\n",
    "count = Counter()\n",
    "\n",
    "for row in df['Grouped']:\n",
    "    row_list = row.split(\",\")\n",
    "    count.update(Counter(combinations(row_list, 2)))\n",
    "\n",
    "for key,value in count.most_common(10):\n",
    "    print(key,value)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3524de6-7599-4ac1-b6c2-f8992a0a7559",
   "metadata": {},
   "source": [
    "### Question 5: What product sold the most? Why do you think it did?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "5fd832f3-623d-4015-a27a-358fd534cb11",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "product_group = all_data.groupby('Product')\n",
    "quantity_ordered = product_group.sum(numeric_only=True)['Quantity Ordered']\n",
    "\n",
    "products = [prd for prd in quantity_ordered.index]\n",
    "\n",
    "plt.bar(products,quantity_ordered, color=\"tab:blue\")\n",
    "plt.xticks(products, rotation=\"vertical\", size=8)\n",
    "plt.xlabel(\"Products\")\n",
    "plt.ylabel(\"Quantity Ordered\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "6f79e604-4d68-4f7a-b10a-aea6e665ea87",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\User\\AppData\\Local\\Temp\\ipykernel_20120\\1287978281.py:10: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
      "  ax1.set_xticklabels(products,rotation=\"vertical\",size=8)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "prices = all_data.groupby('Product').mean(numeric_only=True)['Price Each']\n",
    "\n",
    "#Overlaying the prices of each item on the above graph\n",
    "\n",
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax1.bar(products,quantity_ordered,color=\"tab:blue\")\n",
    "ax2.plot(products,prices,color=\"red\",label=\"Price\")\n",
    "ax1.set_xticklabels(products,rotation=\"vertical\",size=8)\n",
    "\n",
    "ax1.set_xlabel('Products')\n",
    "ax1.set_ylabel('Quantity Ordered')\n",
    "ax2.set_ylabel('Price($)')\n",
    "\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}