Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d09bc068",
   "metadata": {},
   "source": [
    "## Import Necessary Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "62ca218c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import os"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c8fea965",
   "metadata": {},
   "source": [
    "## Read CSV files into Dataframes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ed33a582",
   "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>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>536365</td>\n",
       "      <td>85123A</td>\n",
       "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
       "      <td>6</td>\n",
       "      <td>12/1/2010 8:26</td>\n",
       "      <td>2.55</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>536365</td>\n",
       "      <td>71053</td>\n",
       "      <td>WHITE METAL LANTERN</td>\n",
       "      <td>6</td>\n",
       "      <td>12/1/2010 8:26</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>536365</td>\n",
       "      <td>84406B</td>\n",
       "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
       "      <td>8</td>\n",
       "      <td>12/1/2010 8:26</td>\n",
       "      <td>2.75</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029G</td>\n",
       "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
       "      <td>6</td>\n",
       "      <td>12/1/2010 8:26</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029E</td>\n",
       "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
       "      <td>6</td>\n",
       "      <td>12/1/2010 8:26</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  InvoiceNo StockCode                          Description  Quantity  \\\n",
       "0    536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
       "1    536365     71053                  WHITE METAL LANTERN         6   \n",
       "2    536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
       "3    536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
       "4    536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
       "\n",
       "      InvoiceDate  UnitPrice  CustomerID         Country  \n",
       "0  12/1/2010 8:26       2.55     17850.0  United Kingdom  \n",
       "1  12/1/2010 8:26       3.39     17850.0  United Kingdom  \n",
       "2  12/1/2010 8:26       2.75     17850.0  United Kingdom  \n",
       "3  12/1/2010 8:26       3.39     17850.0  United Kingdom  \n",
       "4  12/1/2010 8:26       3.39     17850.0  United Kingdom  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = pd.read_csv('online_retail_I.csv', encoding= 'unicode_escape')\n",
    "df1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6dbd12e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\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>Invoice</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>Price</th>\n",
       "      <th>Customer ID</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>489434</td>\n",
       "      <td>85048</td>\n",
       "      <td>15CM CHRISTMAS GLASS BALL 20 LIGHTS</td>\n",
       "      <td>12</td>\n",
       "      <td>2009-12-01 07:45:00</td>\n",
       "      <td>6.95</td>\n",
       "      <td>13085.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>489434</td>\n",
       "      <td>79323P</td>\n",
       "      <td>PINK CHERRY LIGHTS</td>\n",
       "      <td>12</td>\n",
       "      <td>2009-12-01 07:45:00</td>\n",
       "      <td>6.75</td>\n",
       "      <td>13085.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>489434</td>\n",
       "      <td>79323W</td>\n",
       "      <td>WHITE CHERRY LIGHTS</td>\n",
       "      <td>12</td>\n",
       "      <td>2009-12-01 07:45:00</td>\n",
       "      <td>6.75</td>\n",
       "      <td>13085.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>489434</td>\n",
       "      <td>22041</td>\n",
       "      <td>RECORD FRAME 7\" SINGLE SIZE</td>\n",
       "      <td>48</td>\n",
       "      <td>2009-12-01 07:45:00</td>\n",
       "      <td>2.10</td>\n",
       "      <td>13085.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>489434</td>\n",
       "      <td>21232</td>\n",
       "      <td>STRAWBERRY CERAMIC TRINKET BOX</td>\n",
       "      <td>24</td>\n",
       "      <td>2009-12-01 07:45:00</td>\n",
       "      <td>1.25</td>\n",
       "      <td>13085.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Invoice StockCode                          Description  Quantity  \\\n",
       "0  489434     85048  15CM CHRISTMAS GLASS BALL 20 LIGHTS        12   \n",
       "1  489434    79323P                   PINK CHERRY LIGHTS        12   \n",
       "2  489434    79323W                  WHITE CHERRY LIGHTS        12   \n",
       "3  489434     22041         RECORD FRAME 7\" SINGLE SIZE         48   \n",
       "4  489434     21232       STRAWBERRY CERAMIC TRINKET BOX        24   \n",
       "\n",
       "           InvoiceDate  Price  Customer ID         Country  \n",
       "0  2009-12-01 07:45:00   6.95      13085.0  United Kingdom  \n",
       "1  2009-12-01 07:45:00   6.75      13085.0  United Kingdom  \n",
       "2  2009-12-01 07:45:00   6.75      13085.0  United Kingdom  \n",
       "3  2009-12-01 07:45:00   2.10      13085.0  United Kingdom  \n",
       "4  2009-12-01 07:45:00   1.25      13085.0  United Kingdom  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('online_retail_II.csv', encoding= 'unicode_escape')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd4b6b13",
   "metadata": {},
   "source": [
    "##### Rename columns to match in both tables "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "051566de",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>489434</td>\n",
       "      <td>85048</td>\n",
       "      <td>15CM CHRISTMAS GLASS BALL 20 LIGHTS</td>\n",
       "      <td>12</td>\n",
       "      <td>2009-12-01 07:45:00</td>\n",
       "      <td>6.95</td>\n",
       "      <td>13085.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>489434</td>\n",
       "      <td>79323P</td>\n",
       "      <td>PINK CHERRY LIGHTS</td>\n",
       "      <td>12</td>\n",
       "      <td>2009-12-01 07:45:00</td>\n",
       "      <td>6.75</td>\n",
       "      <td>13085.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>489434</td>\n",
       "      <td>79323W</td>\n",
       "      <td>WHITE CHERRY LIGHTS</td>\n",
       "      <td>12</td>\n",
       "      <td>2009-12-01 07:45:00</td>\n",
       "      <td>6.75</td>\n",
       "      <td>13085.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>489434</td>\n",
       "      <td>22041</td>\n",
       "      <td>RECORD FRAME 7\" SINGLE SIZE</td>\n",
       "      <td>48</td>\n",
       "      <td>2009-12-01 07:45:00</td>\n",
       "      <td>2.10</td>\n",
       "      <td>13085.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>489434</td>\n",
       "      <td>21232</td>\n",
       "      <td>STRAWBERRY CERAMIC TRINKET BOX</td>\n",
       "      <td>24</td>\n",
       "      <td>2009-12-01 07:45:00</td>\n",
       "      <td>1.25</td>\n",
       "      <td>13085.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  InvoiceNo StockCode                          Description  Quantity  \\\n",
       "0    489434     85048  15CM CHRISTMAS GLASS BALL 20 LIGHTS        12   \n",
       "1    489434    79323P                   PINK CHERRY LIGHTS        12   \n",
       "2    489434    79323W                  WHITE CHERRY LIGHTS        12   \n",
       "3    489434     22041         RECORD FRAME 7\" SINGLE SIZE         48   \n",
       "4    489434     21232       STRAWBERRY CERAMIC TRINKET BOX        24   \n",
       "\n",
       "           InvoiceDate  UnitPrice  CustomerID         Country  \n",
       "0  2009-12-01 07:45:00       6.95     13085.0  United Kingdom  \n",
       "1  2009-12-01 07:45:00       6.75     13085.0  United Kingdom  \n",
       "2  2009-12-01 07:45:00       6.75     13085.0  United Kingdom  \n",
       "3  2009-12-01 07:45:00       2.10     13085.0  United Kingdom  \n",
       "4  2009-12-01 07:45:00       1.25     13085.0  United Kingdom  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.rename(columns = {'Invoice':'InvoiceNo',\n",
    "                   'Price':'UnitPrice',\n",
    "                    'Customer ID':'CustomerID'}, inplace=True)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "bc9659d5",
   "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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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>489434</td>\n",
       "      <td>85048</td>\n",
       "      <td>15CM CHRISTMAS GLASS BALL 20 LIGHTS</td>\n",
       "      <td>12</td>\n",
       "      <td>2009-12-01 07:45:00</td>\n",
       "      <td>6.95</td>\n",
       "      <td>13085.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>489434</td>\n",
       "      <td>79323P</td>\n",
       "      <td>PINK CHERRY LIGHTS</td>\n",
       "      <td>12</td>\n",
       "      <td>2009-12-01 07:45:00</td>\n",
       "      <td>6.75</td>\n",
       "      <td>13085.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>489434</td>\n",
       "      <td>79323W</td>\n",
       "      <td>WHITE CHERRY LIGHTS</td>\n",
       "      <td>12</td>\n",
       "      <td>2009-12-01 07:45:00</td>\n",
       "      <td>6.75</td>\n",
       "      <td>13085.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>489434</td>\n",
       "      <td>22041</td>\n",
       "      <td>RECORD FRAME 7\" SINGLE SIZE</td>\n",
       "      <td>48</td>\n",
       "      <td>2009-12-01 07:45:00</td>\n",
       "      <td>2.10</td>\n",
       "      <td>13085.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>489434</td>\n",
       "      <td>21232</td>\n",
       "      <td>STRAWBERRY CERAMIC TRINKET BOX</td>\n",
       "      <td>24</td>\n",
       "      <td>2009-12-01 07:45:00</td>\n",
       "      <td>1.25</td>\n",
       "      <td>13085.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  InvoiceNo StockCode                          Description  Quantity  \\\n",
       "0    489434     85048  15CM CHRISTMAS GLASS BALL 20 LIGHTS        12   \n",
       "1    489434    79323P                   PINK CHERRY LIGHTS        12   \n",
       "2    489434    79323W                  WHITE CHERRY LIGHTS        12   \n",
       "3    489434     22041         RECORD FRAME 7\" SINGLE SIZE         48   \n",
       "4    489434     21232       STRAWBERRY CERAMIC TRINKET BOX        24   \n",
       "\n",
       "           InvoiceDate  UnitPrice  CustomerID         Country  \n",
       "0  2009-12-01 07:45:00       6.95     13085.0  United Kingdom  \n",
       "1  2009-12-01 07:45:00       6.75     13085.0  United Kingdom  \n",
       "2  2009-12-01 07:45:00       6.75     13085.0  United Kingdom  \n",
       "3  2009-12-01 07:45:00       2.10     13085.0  United Kingdom  \n",
       "4  2009-12-01 07:45:00       1.25     13085.0  United Kingdom  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Save data into csv\n",
    "df.to_csv('online_data.csv', index=False)\n",
    "\n",
    "# Read new csv into a dataframe\n",
    "df2 = pd.read_csv('online_data.csv')\n",
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "75c5fa7b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>536365</td>\n",
       "      <td>85123A</td>\n",
       "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
       "      <td>6</td>\n",
       "      <td>12/1/2010 8:26</td>\n",
       "      <td>2.55</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>536365</td>\n",
       "      <td>71053</td>\n",
       "      <td>WHITE METAL LANTERN</td>\n",
       "      <td>6</td>\n",
       "      <td>12/1/2010 8:26</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>536365</td>\n",
       "      <td>84406B</td>\n",
       "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
       "      <td>8</td>\n",
       "      <td>12/1/2010 8:26</td>\n",
       "      <td>2.75</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029G</td>\n",
       "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
       "      <td>6</td>\n",
       "      <td>12/1/2010 8:26</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029E</td>\n",
       "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
       "      <td>6</td>\n",
       "      <td>12/1/2010 8:26</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  InvoiceNo StockCode                          Description  Quantity  \\\n",
       "0    536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
       "1    536365     71053                  WHITE METAL LANTERN         6   \n",
       "2    536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
       "3    536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
       "4    536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
       "\n",
       "      InvoiceDate  UnitPrice  CustomerID         Country  \n",
       "0  12/1/2010 8:26       2.55     17850.0  United Kingdom  \n",
       "1  12/1/2010 8:26       3.39     17850.0  United Kingdom  \n",
       "2  12/1/2010 8:26       2.75     17850.0  United Kingdom  \n",
       "3  12/1/2010 8:26       3.39     17850.0  United Kingdom  \n",
       "4  12/1/2010 8:26       3.39     17850.0  United Kingdom  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "886227f4",
   "metadata": {},
   "source": [
    "## Merge data into single CSV "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "60d19fc5",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data = pd.concat([df1,df2])\n",
    "\n",
    "# Save all_data into new csv\n",
    "all_data.to_csv('all_data.csv', index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c362817b",
   "metadata": {},
   "source": [
    "## Read New CSV into Dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bbdae438",
   "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>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>536365</td>\n",
       "      <td>85123A</td>\n",
       "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
       "      <td>6</td>\n",
       "      <td>12/1/2010 8:26</td>\n",
       "      <td>2.55</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>536365</td>\n",
       "      <td>71053</td>\n",
       "      <td>WHITE METAL LANTERN</td>\n",
       "      <td>6</td>\n",
       "      <td>12/1/2010 8:26</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>536365</td>\n",
       "      <td>84406B</td>\n",
       "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
       "      <td>8</td>\n",
       "      <td>12/1/2010 8:26</td>\n",
       "      <td>2.75</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029G</td>\n",
       "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
       "      <td>6</td>\n",
       "      <td>12/1/2010 8:26</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029E</td>\n",
       "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
       "      <td>6</td>\n",
       "      <td>12/1/2010 8:26</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  InvoiceNo StockCode                          Description  Quantity  \\\n",
       "0    536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
       "1    536365     71053                  WHITE METAL LANTERN         6   \n",
       "2    536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
       "3    536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
       "4    536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
       "\n",
       "      InvoiceDate  UnitPrice  CustomerID         Country  \n",
       "0  12/1/2010 8:26       2.55     17850.0  United Kingdom  \n",
       "1  12/1/2010 8:26       3.39     17850.0  United Kingdom  \n",
       "2  12/1/2010 8:26       2.75     17850.0  United Kingdom  \n",
       "3  12/1/2010 8:26       3.39     17850.0  United Kingdom  \n",
       "4  12/1/2010 8:26       3.39     17850.0  United Kingdom  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data = pd.read_csv('all_data.csv')\n",
    "all_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c17ecda0",
   "metadata": {},
   "source": [
    "## Clean Data!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "141b5386",
   "metadata": {},
   "source": [
    "### Drop Irrelevant Rows"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21c4e1f6",
   "metadata": {},
   "source": [
    "##### Drop NaN rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5e2e6bc6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\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>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>622</th>\n",
       "      <td>536414</td>\n",
       "      <td>22139</td>\n",
       "      <td>NaN</td>\n",
       "      <td>56</td>\n",
       "      <td>12/1/2010 11:52</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1443</th>\n",
       "      <td>536544</td>\n",
       "      <td>21773</td>\n",
       "      <td>DECORATIVE ROSE BATHROOM BOTTLE</td>\n",
       "      <td>1</td>\n",
       "      <td>12/1/2010 14:32</td>\n",
       "      <td>2.51</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1444</th>\n",
       "      <td>536544</td>\n",
       "      <td>21774</td>\n",
       "      <td>DECORATIVE CATS BATHROOM BOTTLE</td>\n",
       "      <td>2</td>\n",
       "      <td>12/1/2010 14:32</td>\n",
       "      <td>2.51</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1445</th>\n",
       "      <td>536544</td>\n",
       "      <td>21786</td>\n",
       "      <td>POLKADOT RAIN HAT</td>\n",
       "      <td>4</td>\n",
       "      <td>12/1/2010 14:32</td>\n",
       "      <td>0.85</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1446</th>\n",
       "      <td>536544</td>\n",
       "      <td>21787</td>\n",
       "      <td>RAIN PONCHO RETROSPOT</td>\n",
       "      <td>2</td>\n",
       "      <td>12/1/2010 14:32</td>\n",
       "      <td>1.66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     InvoiceNo StockCode                      Description  Quantity  \\\n",
       "622     536414     22139                              NaN        56   \n",
       "1443    536544     21773  DECORATIVE ROSE BATHROOM BOTTLE         1   \n",
       "1444    536544     21774  DECORATIVE CATS BATHROOM BOTTLE         2   \n",
       "1445    536544     21786               POLKADOT RAIN HAT          4   \n",
       "1446    536544     21787            RAIN PONCHO RETROSPOT         2   \n",
       "\n",
       "          InvoiceDate  UnitPrice  CustomerID         Country  \n",
       "622   12/1/2010 11:52       0.00         NaN  United Kingdom  \n",
       "1443  12/1/2010 14:32       2.51         NaN  United Kingdom  \n",
       "1444  12/1/2010 14:32       2.51         NaN  United Kingdom  \n",
       "1445  12/1/2010 14:32       0.85         NaN  United Kingdom  \n",
       "1446  12/1/2010 14:32       1.66         NaN  United Kingdom  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check for NaN rows\n",
    "nan_df = all_data[all_data.isna().any(axis=1)]\n",
    "nan_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "de616146",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Drop NaN rows\n",
    "all_data = all_data.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "740c315c",
   "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>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [InvoiceNo, StockCode, Description, Quantity, InvoiceDate, UnitPrice, CustomerID, Country]\n",
       "Index: []"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Re-check for NaN rows\n",
    "nan_df = all_data[all_data.isna().any(axis=1)]\n",
    "nan_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e11d7143",
   "metadata": {},
   "source": [
    "##### Drop all rows with 'Country' = Unspecified"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1339848b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>152712</th>\n",
       "      <td>549687</td>\n",
       "      <td>20685</td>\n",
       "      <td>DOORMAT RED RETROSPOT</td>\n",
       "      <td>2</td>\n",
       "      <td>4/11/2011 13:29</td>\n",
       "      <td>7.95</td>\n",
       "      <td>12363.0</td>\n",
       "      <td>Unspecified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152713</th>\n",
       "      <td>549687</td>\n",
       "      <td>22691</td>\n",
       "      <td>DOORMAT WELCOME SUNRISE</td>\n",
       "      <td>2</td>\n",
       "      <td>4/11/2011 13:29</td>\n",
       "      <td>7.95</td>\n",
       "      <td>12363.0</td>\n",
       "      <td>Unspecified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152714</th>\n",
       "      <td>549687</td>\n",
       "      <td>48116</td>\n",
       "      <td>DOORMAT MULTICOLOUR STRIPE</td>\n",
       "      <td>2</td>\n",
       "      <td>4/11/2011 13:29</td>\n",
       "      <td>7.95</td>\n",
       "      <td>12363.0</td>\n",
       "      <td>Unspecified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152715</th>\n",
       "      <td>549687</td>\n",
       "      <td>21213</td>\n",
       "      <td>PACK OF 72 SKULL CAKE CASES</td>\n",
       "      <td>24</td>\n",
       "      <td>4/11/2011 13:29</td>\n",
       "      <td>0.55</td>\n",
       "      <td>12363.0</td>\n",
       "      <td>Unspecified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152716</th>\n",
       "      <td>549687</td>\n",
       "      <td>21977</td>\n",
       "      <td>PACK OF 60 PINK PAISLEY CAKE CASES</td>\n",
       "      <td>24</td>\n",
       "      <td>4/11/2011 13:29</td>\n",
       "      <td>0.55</td>\n",
       "      <td>12363.0</td>\n",
       "      <td>Unspecified</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       InvoiceNo StockCode                         Description  Quantity  \\\n",
       "152712    549687     20685               DOORMAT RED RETROSPOT         2   \n",
       "152713    549687     22691             DOORMAT WELCOME SUNRISE         2   \n",
       "152714    549687     48116          DOORMAT MULTICOLOUR STRIPE         2   \n",
       "152715    549687     21213         PACK OF 72 SKULL CAKE CASES        24   \n",
       "152716    549687     21977  PACK OF 60 PINK PAISLEY CAKE CASES        24   \n",
       "\n",
       "            InvoiceDate  UnitPrice  CustomerID      Country  \n",
       "152712  4/11/2011 13:29       7.95     12363.0  Unspecified  \n",
       "152713  4/11/2011 13:29       7.95     12363.0  Unspecified  \n",
       "152714  4/11/2011 13:29       7.95     12363.0  Unspecified  \n",
       "152715  4/11/2011 13:29       0.55     12363.0  Unspecified  \n",
       "152716  4/11/2011 13:29       0.55     12363.0  Unspecified  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Print all rows with 'Country' == 'Unspecified'\n",
    "all_data_filtered = all_data[all_data['Country'] == 'Unspecified']\n",
    "all_data_filtered.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "47dd01f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [InvoiceNo, StockCode, Description, Quantity, InvoiceDate, UnitPrice, CustomerID, Country]\n",
       "Index: []"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Drop all rows with 'Country' == 'Unspecified'\n",
    "all_data.drop(all_data[all_data['Country'] == 'Unspecified'].index, inplace=True)\n",
    "\n",
    "# Print all rows with 'Country' == 'Unspecified'\n",
    "all_data_filtered = all_data[all_data['Country'] == 'Unspecified']\n",
    "all_data_filtered.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d7ccb08",
   "metadata": {},
   "source": [
    "##### Drop all rows with 'UnitPrice' == 0.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d7ed7040",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9302</th>\n",
       "      <td>537197</td>\n",
       "      <td>22841</td>\n",
       "      <td>ROUND CAKE TIN VINTAGE GREEN</td>\n",
       "      <td>1</td>\n",
       "      <td>12/5/2010 14:02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12647.0</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33576</th>\n",
       "      <td>539263</td>\n",
       "      <td>22580</td>\n",
       "      <td>ADVENT CALENDAR GINGHAM SACK</td>\n",
       "      <td>4</td>\n",
       "      <td>12/16/2010 14:36</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16560.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40089</th>\n",
       "      <td>539722</td>\n",
       "      <td>22423</td>\n",
       "      <td>REGENCY CAKESTAND 3 TIER</td>\n",
       "      <td>10</td>\n",
       "      <td>12/21/2010 13:45</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14911.0</td>\n",
       "      <td>EIRE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47068</th>\n",
       "      <td>540372</td>\n",
       "      <td>22090</td>\n",
       "      <td>PAPER BUNTING RETROSPOT</td>\n",
       "      <td>24</td>\n",
       "      <td>1/6/2011 16:41</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13081.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47070</th>\n",
       "      <td>540372</td>\n",
       "      <td>22553</td>\n",
       "      <td>PLASTERS IN TIN SKULLS</td>\n",
       "      <td>24</td>\n",
       "      <td>1/6/2011 16:41</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13081.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      InvoiceNo StockCode                   Description  Quantity  \\\n",
       "9302     537197     22841  ROUND CAKE TIN VINTAGE GREEN         1   \n",
       "33576    539263     22580  ADVENT CALENDAR GINGHAM SACK         4   \n",
       "40089    539722     22423      REGENCY CAKESTAND 3 TIER        10   \n",
       "47068    540372     22090       PAPER BUNTING RETROSPOT        24   \n",
       "47070    540372     22553        PLASTERS IN TIN SKULLS        24   \n",
       "\n",
       "            InvoiceDate  UnitPrice  CustomerID         Country  \n",
       "9302    12/5/2010 14:02        0.0     12647.0         Germany  \n",
       "33576  12/16/2010 14:36        0.0     16560.0  United Kingdom  \n",
       "40089  12/21/2010 13:45        0.0     14911.0            EIRE  \n",
       "47068    1/6/2011 16:41        0.0     13081.0  United Kingdom  \n",
       "47070    1/6/2011 16:41        0.0     13081.0  United Kingdom  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Print all rows with 'UnitPrice' == 0.0\n",
    "all_data_filtered2 = all_data[all_data['UnitPrice'] == 0.0]\n",
    "all_data_filtered2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e279bb86",
   "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>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [InvoiceNo, StockCode, Description, Quantity, InvoiceDate, UnitPrice, CustomerID, Country]\n",
       "Index: []"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Drop all rows with 'UnitPrice' == 0.0\n",
    "all_data.drop(all_data[all_data['UnitPrice'] == 0.0].index, inplace=True)\n",
    "\n",
    "# Print all rows with 'UnitPrice' == 0.0\n",
    "all_data_filtered2 = all_data[all_data['UnitPrice'] == 0.0]\n",
    "all_data_filtered2.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3ee867d",
   "metadata": {},
   "source": [
    "##### Convert columns to Integers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "0b7dd8c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Make 'Quantity' an Integer\n",
    "all_data['Quantity'] = pd.to_numeric(all_data['Quantity'])\n",
    "# Make 'Price Each' a Float\n",
    "all_data['UnitPrice'] = pd.to_numeric(all_data['UnitPrice'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "340b2665",
   "metadata": {},
   "source": [
    "##### Add relevant columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b3ae071b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>536365</td>\n",
       "      <td>85123A</td>\n",
       "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.55</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>536365</td>\n",
       "      <td>71053</td>\n",
       "      <td>WHITE METAL LANTERN</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>536365</td>\n",
       "      <td>84406B</td>\n",
       "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
       "      <td>8</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.75</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029G</td>\n",
       "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029E</td>\n",
       "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  InvoiceNo StockCode                          Description  Quantity  \\\n",
       "0    536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
       "1    536365     71053                  WHITE METAL LANTERN         6   \n",
       "2    536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
       "3    536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
       "4    536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
       "\n",
       "          InvoiceDate  UnitPrice  CustomerID         Country  \n",
       "0 2010-12-01 08:26:00       2.55     17850.0  United Kingdom  \n",
       "1 2010-12-01 08:26:00       3.39     17850.0  United Kingdom  \n",
       "2 2010-12-01 08:26:00       2.75     17850.0  United Kingdom  \n",
       "3 2010-12-01 08:26:00       3.39     17850.0  United Kingdom  \n",
       "4 2010-12-01 08:26:00       3.39     17850.0  United Kingdom  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert 'InvoiceDate' column to datetime format\n",
    "all_data['InvoiceDate']=pd.to_datetime(all_data['InvoiceDate'])\n",
    "all_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "7e84845b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "      <th>Hour</th>\n",
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       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>536365</td>\n",
       "      <td>85123A</td>\n",
       "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.55</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>8</td>\n",
       "      <td>December</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>536365</td>\n",
       "      <td>71053</td>\n",
       "      <td>WHITE METAL LANTERN</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>8</td>\n",
       "      <td>December</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>536365</td>\n",
       "      <td>84406B</td>\n",
       "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
       "      <td>8</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.75</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>8</td>\n",
       "      <td>December</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029G</td>\n",
       "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>8</td>\n",
       "      <td>December</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029E</td>\n",
       "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>8</td>\n",
       "      <td>December</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  InvoiceNo StockCode                          Description  Quantity  \\\n",
       "0    536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
       "1    536365     71053                  WHITE METAL LANTERN         6   \n",
       "2    536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
       "3    536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
       "4    536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
       "\n",
       "          InvoiceDate  UnitPrice  CustomerID         Country  Hour     Month  \\\n",
       "0 2010-12-01 08:26:00       2.55     17850.0  United Kingdom     8  December   \n",
       "1 2010-12-01 08:26:00       3.39     17850.0  United Kingdom     8  December   \n",
       "2 2010-12-01 08:26:00       2.75     17850.0  United Kingdom     8  December   \n",
       "3 2010-12-01 08:26:00       3.39     17850.0  United Kingdom     8  December   \n",
       "4 2010-12-01 08:26:00       3.39     17850.0  United Kingdom     8  December   \n",
       "\n",
       "   Year  \n",
       "0  2010  \n",
       "1  2010  \n",
       "2  2010  \n",
       "3  2010  \n",
       "4  2010  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Add Hour, Month, & Year columns\n",
    "all_data['Hour'] = pd.to_datetime(all_data['InvoiceDate'], format= '%Y-%m-%d %H:%M:%S').dt.hour\n",
    "all_data['Month'] = pd.to_datetime(all_data['InvoiceDate'], format= '%Y-%m-%d %H:%M:%S').dt.month_name()\n",
    "all_data['Year'] = pd.to_datetime(all_data['InvoiceDate'], format= '%Y-%m-%d %H:%M:%S').dt.year\n",
    "all_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "5ac4716b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "      <th>Hour</th>\n",
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       "      <th>Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>536365</td>\n",
       "      <td>85123A</td>\n",
       "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.55</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>8</td>\n",
       "      <td>December</td>\n",
       "      <td>2010</td>\n",
       "      <td>15.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>536365</td>\n",
       "      <td>71053</td>\n",
       "      <td>WHITE METAL LANTERN</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>8</td>\n",
       "      <td>December</td>\n",
       "      <td>2010</td>\n",
       "      <td>20.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>536365</td>\n",
       "      <td>84406B</td>\n",
       "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
       "      <td>8</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.75</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>8</td>\n",
       "      <td>December</td>\n",
       "      <td>2010</td>\n",
       "      <td>22.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029G</td>\n",
       "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>8</td>\n",
       "      <td>December</td>\n",
       "      <td>2010</td>\n",
       "      <td>20.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029E</td>\n",
       "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>8</td>\n",
       "      <td>December</td>\n",
       "      <td>2010</td>\n",
       "      <td>20.34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  InvoiceNo StockCode                          Description  Quantity  \\\n",
       "0    536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
       "1    536365     71053                  WHITE METAL LANTERN         6   \n",
       "2    536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
       "3    536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
       "4    536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
       "\n",
       "          InvoiceDate  UnitPrice  CustomerID         Country  Hour     Month  \\\n",
       "0 2010-12-01 08:26:00       2.55     17850.0  United Kingdom     8  December   \n",
       "1 2010-12-01 08:26:00       3.39     17850.0  United Kingdom     8  December   \n",
       "2 2010-12-01 08:26:00       2.75     17850.0  United Kingdom     8  December   \n",
       "3 2010-12-01 08:26:00       3.39     17850.0  United Kingdom     8  December   \n",
       "4 2010-12-01 08:26:00       3.39     17850.0  United Kingdom     8  December   \n",
       "\n",
       "   Year  Sales  \n",
       "0  2010  15.30  \n",
       "1  2010  20.34  \n",
       "2  2010  22.00  \n",
       "3  2010  20.34  \n",
       "4  2010  20.34  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Add Sales column\n",
    "all_data['Sales'] = all_data['Quantity'] * all_data['UnitPrice']\n",
    "all_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "615db0be",
   "metadata": {},
   "source": [
    "### Question 1: What is the best sales month and how much was earned that month?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "b7434280",
   "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>Sales</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Month</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>January</th>\n",
       "      <td>1481103.312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>February</th>\n",
       "      <td>1362491.886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>March</th>\n",
       "      <td>1795925.701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>April</th>\n",
       "      <td>1411880.004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>May</th>\n",
       "      <td>1854721.350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>June</th>\n",
       "      <td>1787114.670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>July</th>\n",
       "      <td>1708475.962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>August</th>\n",
       "      <td>1818930.400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>September</th>\n",
       "      <td>2641946.095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>October</th>\n",
       "      <td>2914196.960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>November</th>\n",
       "      <td>3399393.832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>December</th>\n",
       "      <td>2762134.200</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Sales\n",
       "Month                 \n",
       "January    1481103.312\n",
       "February   1362491.886\n",
       "March      1795925.701\n",
       "April      1411880.004\n",
       "May        1854721.350\n",
       "June       1787114.670\n",
       "July       1708475.962\n",
       "August     1818930.400\n",
       "September  2641946.095\n",
       "October    2914196.960\n",
       "November   3399393.832\n",
       "December   2762134.200"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data['Month'] = pd.Categorical(all_data['Month'], ordered=True, categories= ['January', 'February', 'March', 'April','May','June', 'July', 'August','September', 'October', 'November', 'December'])\n",
    "all_data.pivot_table(index='Month', values='Sales', aggfunc='sum')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "15fa4ffd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "group = all_data.groupby('Month').sum()\n",
    "\n",
    "plt.figure(figsize=(8,5))\n",
    "Month = [Month for Month, all_data in all_data.groupby('Month')] # This arranges the months in the right order\n",
    "plt.title('Best Sales Month', fontdict={'fontweight':'bold', 'fontsize':18})\n",
    "plt.bar(Month, group['Sales'])\n",
    "plt.xticks(Month, rotation='vertical', size=10)\n",
    "plt.ylabel('Sales ($)')\n",
    "plt.xlabel('Month')\n",
    "plt.ticklabel_format(useOffset=False, style='plain', axis='y') #Make value on y axis to be plain and not exponential\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3be3bd29",
   "metadata": {},
   "source": [
    "### What country has the highest number of sales?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "5058aa80",
   "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>Sales</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>3.042063e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Austria</th>\n",
       "      <td>3.333192e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bahrain</th>\n",
       "      <td>1.902770e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Belgium</th>\n",
       "      <td>1.044854e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>2.555470e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Canada</th>\n",
       "      <td>8.549420e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Channel Islands</th>\n",
       "      <td>6.153990e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cyprus</th>\n",
       "      <td>3.710903e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Czech Republic</th>\n",
       "      <td>1.415440e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Denmark</th>\n",
       "      <td>8.450923e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EIRE</th>\n",
       "      <td>8.287868e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>European Community</th>\n",
       "      <td>2.583500e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Finland</th>\n",
       "      <td>5.184119e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>5.232175e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Germany</th>\n",
       "      <td>6.396868e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Greece</th>\n",
       "      <td>2.370601e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iceland</th>\n",
       "      <td>9.943320e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Israel</th>\n",
       "      <td>1.718790e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Italy</th>\n",
       "      <td>4.756986e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>7.911720e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Korea</th>\n",
       "      <td>9.498200e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lebanon</th>\n",
       "      <td>3.387760e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lithuania</th>\n",
       "      <td>8.214800e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Malta</th>\n",
       "      <td>7.697690e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Netherlands</th>\n",
       "      <td>8.331865e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nigeria</th>\n",
       "      <td>1.403900e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Norway</th>\n",
       "      <td>7.440649e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Poland</th>\n",
       "      <td>1.774123e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Portugal</th>\n",
       "      <td>8.146526e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RSA</th>\n",
       "      <td>2.936050e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Saudi Arabia</th>\n",
       "      <td>2.623400e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Singapore</th>\n",
       "      <td>2.227855e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spain</th>\n",
       "      <td>1.466341e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sweden</th>\n",
       "      <td>1.240513e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Switzerland</th>\n",
       "      <td>1.548222e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thailand</th>\n",
       "      <td>3.070540e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>USA</th>\n",
       "      <td>8.017460e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United Arab Emirates</th>\n",
       "      <td>1.097399e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United Kingdom</th>\n",
       "      <td>2.057430e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Indies</th>\n",
       "      <td>5.364100e+02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             Sales\n",
       "Country                           \n",
       "Australia             3.042063e+05\n",
       "Austria               3.333192e+04\n",
       "Bahrain               1.902770e+03\n",
       "Belgium               1.044854e+05\n",
       "Brazil                2.555470e+03\n",
       "Canada                8.549420e+03\n",
       "Channel Islands       6.153990e+04\n",
       "Cyprus                3.710903e+04\n",
       "Czech Republic        1.415440e+03\n",
       "Denmark               8.450923e+04\n",
       "EIRE                  8.287868e+05\n",
       "European Community    2.583500e+03\n",
       "Finland               5.184119e+04\n",
       "France                5.232175e+05\n",
       "Germany               6.396868e+05\n",
       "Greece                2.370601e+04\n",
       "Iceland               9.943320e+03\n",
       "Israel                1.718790e+04\n",
       "Italy                 4.756986e+04\n",
       "Japan                 7.911720e+04\n",
       "Korea                 9.498200e+02\n",
       "Lebanon               3.387760e+03\n",
       "Lithuania             8.214800e+03\n",
       "Malta                 7.697690e+03\n",
       "Netherlands           8.331865e+05\n",
       "Nigeria               1.403900e+02\n",
       "Norway                7.440649e+04\n",
       "Poland                1.774123e+04\n",
       "Portugal              8.146526e+04\n",
       "RSA                   2.936050e+03\n",
       "Saudi Arabia          2.623400e+02\n",
       "Singapore             2.227855e+04\n",
       "Spain                 1.466341e+05\n",
       "Sweden                1.240513e+05\n",
       "Switzerland           1.548222e+05\n",
       "Thailand              3.070540e+03\n",
       "USA                   8.017460e+03\n",
       "United Arab Emirates  1.097399e+04\n",
       "United Kingdom        2.057430e+07\n",
       "West Indies           5.364100e+02"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.pivot_table(index='Country', values='Sales', aggfunc='sum')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "9ded7268",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "group = all_data.groupby('Country').sum()\n",
    "\n",
    "plt.figure(figsize=(8,5))\n",
    "Country = [Country for Country, all_data in all_data.groupby('Country')] # This arranges the countries in the right order\n",
    "plt.title('Best Sales Country', fontdict={'fontweight':'bold', 'fontsize':18})\n",
    "plt.bar(Country, group['Sales'])\n",
    "plt.xticks(Country, rotation='vertical', size=10)\n",
    "plt.ylabel('Sales ($)')\n",
    "plt.xlabel('Country')\n",
    "plt.ticklabel_format(useOffset=False, style='plain', axis='y') #Make value on y axis to be plain and not exponential\n",
    " \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "3f1e4956",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Adjust y-axis range to make chart look better. NB: UK sales is higher than the limit set on the axis \n",
    "\n",
    "group = all_data.groupby('Country').sum()\n",
    "\n",
    "plt.figure(figsize=(8,5))\n",
    "Country = [Country for Country, all_data in all_data.groupby('Country')] # This arranges the countries in the right order\n",
    "plt.title('Best Sales Country', fontdict={'fontweight':'bold', 'fontsize':18})\n",
    "plt.bar(Country, group['Sales'])\n",
    "plt.xticks(Country, rotation='vertical', size=10)\n",
    "plt.ylabel('Sales ($)')\n",
    "plt.xlabel('Country')\n",
    "plt.ticklabel_format(useOffset=False, style='plain', axis='y') #Make value on y axis to be plain and not exponential\n",
    " \n",
    "plt.ylim([1.403900e+02, 2.057430e+06]) # This sets y-axis range\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "704ef82e",
   "metadata": {},
   "source": [
    "### Question 3: What time should we display advertisements to maximize likelihood of customers buying product?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "a29a1060",
   "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')] # This arranges the hours in the right order\n",
    "\n",
    "plt.plot(hours, all_data.groupby(['Hour']).count()) #Count number of rows by each hour\n",
    "\n",
    "plt.xticks(hours)\n",
    "plt.xlabel('Hour')\n",
    "plt.ylabel('Number of Orders')\n",
    "plt.grid()\n",
    "plt.show()\n",
    "\n",
    "# My recommendation is advertisements should be displayed around 12pm"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c987f61d",
   "metadata": {},
   "source": [
    "### Question 4: What products are most often sold together?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "245083c6",
   "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>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "      <th>Hour</th>\n",
       "      <th>Month</th>\n",
       "      <th>Year</th>\n",
       "      <th>Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>536365</td>\n",
       "      <td>85123A</td>\n",
       "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.55</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>8</td>\n",
       "      <td>December</td>\n",
       "      <td>2010</td>\n",
       "      <td>15.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>536365</td>\n",
       "      <td>71053</td>\n",
       "      <td>WHITE METAL LANTERN</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>8</td>\n",
       "      <td>December</td>\n",
       "      <td>2010</td>\n",
       "      <td>20.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>536365</td>\n",
       "      <td>84406B</td>\n",
       "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
       "      <td>8</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.75</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>8</td>\n",
       "      <td>December</td>\n",
       "      <td>2010</td>\n",
       "      <td>22.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029G</td>\n",
       "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>8</td>\n",
       "      <td>December</td>\n",
       "      <td>2010</td>\n",
       "      <td>20.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029E</td>\n",
       "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>8</td>\n",
       "      <td>December</td>\n",
       "      <td>2010</td>\n",
       "      <td>20.34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  InvoiceNo StockCode                              Product  Quantity  \\\n",
       "0    536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
       "1    536365     71053                  WHITE METAL LANTERN         6   \n",
       "2    536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
       "3    536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
       "4    536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
       "\n",
       "          InvoiceDate  UnitPrice  CustomerID         Country  Hour     Month  \\\n",
       "0 2010-12-01 08:26:00       2.55     17850.0  United Kingdom     8  December   \n",
       "1 2010-12-01 08:26:00       3.39     17850.0  United Kingdom     8  December   \n",
       "2 2010-12-01 08:26:00       2.75     17850.0  United Kingdom     8  December   \n",
       "3 2010-12-01 08:26:00       3.39     17850.0  United Kingdom     8  December   \n",
       "4 2010-12-01 08:26:00       3.39     17850.0  United Kingdom     8  December   \n",
       "\n",
       "   Year  Sales  \n",
       "0  2010  15.30  \n",
       "1  2010  20.34  \n",
       "2  2010  22.00  \n",
       "3  2010  20.34  \n",
       "4  2010  20.34  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.rename(columns={'Description':'Product'}, inplace=True)\n",
    "all_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "6f710e0b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\sapen\\AppData\\Local\\Temp/ipykernel_9708/4004373124.py:4: 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('InvoiceNo')['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>InvoiceNo</th>\n",
       "      <th>Grouped</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>536365</td>\n",
       "      <td>WHITE HANGING HEART T-LIGHT HOLDER,WHITE METAL...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>536366</td>\n",
       "      <td>HAND WARMER UNION JACK,HAND WARMER RED POLKA D...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>536367</td>\n",
       "      <td>ASSORTED COLOUR BIRD ORNAMENT,POPPY'S PLAYHOUS...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>536368</td>\n",
       "      <td>JAM MAKING SET WITH JARS,RED COAT RACK PARIS F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>536369</td>\n",
       "      <td>BATH BUILDING BLOCK WORD,BATH BUILDING BLOCK W...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   InvoiceNo                                            Grouped\n",
       "0     536365  WHITE HANGING HEART T-LIGHT HOLDER,WHITE METAL...\n",
       "7     536366  HAND WARMER UNION JACK,HAND WARMER RED POLKA D...\n",
       "9     536367  ASSORTED COLOUR BIRD ORNAMENT,POPPY'S PLAYHOUS...\n",
       "21    536368  JAM MAKING SET WITH JARS,RED COAT RACK PARIS F...\n",
       "25    536369  BATH BUILDING BLOCK WORD,BATH BUILDING BLOCK W..."
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = all_data[all_data['InvoiceNo'].duplicated(keep=False)] # This creates a dataframe and stores all duplicated 'InvoiceNo' and keeps them all\n",
    "\n",
    "# Create a new column called 'Grouped' to store the products sold together\n",
    "df['Grouped'] = df.groupby('InvoiceNo')['Product'].transform(lambda x: ','.join(x))\n",
    "# Drop duplicate 'Order ID'\n",
    "df = df[['InvoiceNo', 'Grouped']].drop_duplicates()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "c2fb3625",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('KEY FOB ', 'KEY FOB ') 5198\n",
      "('WHITE HANGING HEART T-LIGHT HOLDER', 'WHITE HANGING HEART T-LIGHT HOLDER') 2707\n",
      "('KEY FOB ', ' BACK DOOR ') 2436\n",
      "('FRENCH BLUE METAL DOOR SIGN', 'FRENCH BLUE METAL DOOR SIGN') 2414\n",
      "('KEY FOB ', ' SHED') 2413\n",
      "('REGENCY CAKESTAND 3 TIER', 'REGENCY CAKESTAND 3 TIER') 2168\n",
      "('JUMBO BAG RED RETROSPOT', 'JUMBO BAG RED RETROSPOT') 1873\n",
      "('KEY FOB ', ' FRONT  DOOR ') 1817\n",
      "('GREEN REGENCY TEACUP AND SAUCER', 'PINK REGENCY TEACUP AND SAUCER') 1729\n",
      "('ASSORTED COLOUR BIRD ORNAMENT', 'ASSORTED COLOUR BIRD ORNAMENT') 1728\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))) # This counts the 2 products most often sold together.\n",
    "for key, value in count.most_common(10):\n",
    "    print(key, value)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02d03271",
   "metadata": {},
   "source": [
    "### Question 5:  What product sold the most?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "1985b8b7",
   "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</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Product</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>WORLD WAR 2 GLIDERS ASSTD DESIGNS</th>\n",
       "      <td>160704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WHITE HANGING HEART T-LIGHT HOLDER</th>\n",
       "      <td>124148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JUMBO BAG RED RETROSPOT</th>\n",
       "      <td>119630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ASSORTED COLOUR BIRD ORNAMENT</th>\n",
       "      <td>114704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BROCADE RING PURSE</th>\n",
       "      <td>93350</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    Quantity\n",
       "Product                                     \n",
       "WORLD WAR 2 GLIDERS ASSTD DESIGNS     160704\n",
       "WHITE HANGING HEART T-LIGHT HOLDER    124148\n",
       "JUMBO BAG RED RETROSPOT               119630\n",
       "ASSORTED COLOUR BIRD ORNAMENT         114704\n",
       "BROCADE RING PURSE                     93350"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Plotting the products sold the most on a chart will not be visible enough because there are too many producst sold.\n",
    "\n",
    "# Create a pivot table for the sum of quntity of products ordered and sort them by 'Quantity' in descending order\n",
    "quantity_ordered = all_data.pivot_table(index='Product', values='Quantity', aggfunc='sum')\n",
    "top_products = quantity_ordered.sort_values(by='Quantity', ascending=False) # Sort 'Products' in descending order by 'Quantity'\n",
    "top_products.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "6b75658f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>WORLD WAR 2 GLIDERS ASSTD DESIGNS</td>\n",
       "      <td>160704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
       "      <td>124148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>JUMBO BAG RED RETROSPOT</td>\n",
       "      <td>119630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ASSORTED COLOUR BIRD ORNAMENT</td>\n",
       "      <td>114704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BROCADE RING PURSE</td>\n",
       "      <td>93350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>PACK OF 60 PINK PAISLEY CAKE CASES</td>\n",
       "      <td>79118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>PACK OF 72 RETROSPOT CAKE CASES</td>\n",
       "      <td>79103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>60 TEATIME FAIRY CAKE CASES</td>\n",
       "      <td>70540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>MINI PAINT SET VINTAGE</td>\n",
       "      <td>69220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>PACK OF 12 LONDON TISSUES</td>\n",
       "      <td>63333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>SMALL POPCORN HOLDER</td>\n",
       "      <td>61798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>ASSORTED COLOURS SILK FAN</td>\n",
       "      <td>61293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>POPCORN HOLDER</td>\n",
       "      <td>61008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>VICTORIAN GLASS HANGING T-LIGHT</td>\n",
       "      <td>58826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>RED  HARMONICA IN BOX</td>\n",
       "      <td>57129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>COLOUR GLASS T-LIGHT HOLDER HANGING</td>\n",
       "      <td>54467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>RABBIT NIGHT LIGHT</td>\n",
       "      <td>54188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>PACK OF 72 SKULL CAKE CASES</td>\n",
       "      <td>53051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>JUMBO BAG STRAWBERRY</td>\n",
       "      <td>52372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>72 SWEETHEART FAIRY CAKE CASES</td>\n",
       "      <td>46999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                Product  Quantity\n",
       "0     WORLD WAR 2 GLIDERS ASSTD DESIGNS    160704\n",
       "1    WHITE HANGING HEART T-LIGHT HOLDER    124148\n",
       "2               JUMBO BAG RED RETROSPOT    119630\n",
       "3         ASSORTED COLOUR BIRD ORNAMENT    114704\n",
       "4                   BROCADE RING PURSE      93350\n",
       "5    PACK OF 60 PINK PAISLEY CAKE CASES     79118\n",
       "6       PACK OF 72 RETROSPOT CAKE CASES     79103\n",
       "7           60 TEATIME FAIRY CAKE CASES     70540\n",
       "8               MINI PAINT SET VINTAGE      69220\n",
       "9            PACK OF 12 LONDON TISSUES      63333\n",
       "10                 SMALL POPCORN HOLDER     61798\n",
       "11            ASSORTED COLOURS SILK FAN     61293\n",
       "12                       POPCORN HOLDER     61008\n",
       "13      VICTORIAN GLASS HANGING T-LIGHT     58826\n",
       "14               RED  HARMONICA IN BOX      57129\n",
       "15  COLOUR GLASS T-LIGHT HOLDER HANGING     54467\n",
       "16                   RABBIT NIGHT LIGHT     54188\n",
       "17          PACK OF 72 SKULL CAKE CASES     53051\n",
       "18                 JUMBO BAG STRAWBERRY     52372\n",
       "19       72 SWEETHEART FAIRY CAKE CASES     46999"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Store sorted products in dataframe\n",
    "quantitydf = top_products.reset_index()\n",
    "# Store top 20 products in dataframe\n",
    "quantitydf_20 = quantitydf.sort_values(by='Quantity', ascending=False).iloc[0:20]\n",
    "quantitydf_20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "b77fab55",
   "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": [
    "plt.bar(quantitydf_20['Product'], quantitydf_20['Quantity'])\n",
    "plt.xticks(quantitydf_20['Product'], rotation='vertical', size=8)\n",
    "plt.ylabel('Quantity Ordered')\n",
    "plt.xlabel('Product Name')\n",
    "plt.ticklabel_format(useOffset=False, style='plain', axis='y') #Make value on y axis to be plain and not exponential\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7da05579",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}