sales_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 209,
   "id": "f46ce9cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from itertools import combinations\n",
    "from collections import Counter\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "id": "fa30b75c",
   "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",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>176558</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/19/19 08:46</td>\n",
       "      <td>917 1st St, Dallas, TX 75001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>176559</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>04/07/19 22:30</td>\n",
       "      <td>682 Chestnut St, Boston, MA 02215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order ID                     Product Quantity Ordered Price Each  \\\n",
       "0   176558        USB-C Charging Cable                2      11.95   \n",
       "1      NaN                         NaN              NaN        NaN   \n",
       "2   176559  Bose SoundSport Headphones                1      99.99   \n",
       "3   176560                Google Phone                1        600   \n",
       "4   176560            Wired Headphones                1      11.99   \n",
       "\n",
       "       Order Date                      Purchase Address  \n",
       "0  04/19/19 08:46          917 1st St, Dallas, TX 75001  \n",
       "1             NaN                                   NaN  \n",
       "2  04/07/19 22:30     682 Chestnut St, Boston, MA 02215  \n",
       "3  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001  \n",
       "4  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001  "
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Data reading & merging\n",
    "data_files = os.listdir('Sales_Data')\n",
    "dframes_list = []\n",
    "for file in data_files:\n",
    "    dframes_list.append(pd.read_csv(os.path.join('Sales_Data', file)))\n",
    "sales_data = pd.concat(dframes_list)\n",
    "sales_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "id": "043f38a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(185950, 6)"
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Drop null values\n",
    "sales_data = sales_data.dropna()\n",
    "sales_data = sales_data[sales_data['Order ID'] != 'Order ID']\n",
    "sales_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "id": "9b0984c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Order ID                     int32\n",
       "Product                     object\n",
       "Quantity Ordered             int32\n",
       "Price Each                 float32\n",
       "Order Date          datetime64[ns]\n",
       "Purchase Address            object\n",
       "dtype: object"
      ]
     },
     "execution_count": 190,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Make sure that each feature has the correct datatype\n",
    "sales_data = sales_data.astype({'Order ID': 'int32',\n",
    "                              'Product': 'object',\n",
    "                              'Quantity Ordered': 'int32',\n",
    "                              'Price Each': 'float32',\n",
    "                              'Order Date': 'datetime64',\n",
    "                              'Purchase Address': 'object'})\n",
    "sales_data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "id": "1480dbb0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>Total Price</th>\n",
       "      <th>City</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>176558</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.950000</td>\n",
       "      <td>2019-04-19 08:46:00</td>\n",
       "      <td>917 1st St, Dallas, TX 75001</td>\n",
       "      <td>4</td>\n",
       "      <td>23.900000</td>\n",
       "      <td>Dallas TX</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>176559</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.989998</td>\n",
       "      <td>2019-04-07 22:30:00</td>\n",
       "      <td>682 Chestnut St, Boston, MA 02215</td>\n",
       "      <td>4</td>\n",
       "      <td>99.989998</td>\n",
       "      <td>Boston MA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.000000</td>\n",
       "      <td>2019-04-12 14:38:00</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>600.000000</td>\n",
       "      <td>Los Angeles CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.990000</td>\n",
       "      <td>2019-04-12 14:38:00</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.990000</td>\n",
       "      <td>Los Angeles CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>176561</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.990000</td>\n",
       "      <td>2019-04-30 09:27:00</td>\n",
       "      <td>333 8th St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.990000</td>\n",
       "      <td>Los Angeles CA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Order ID                     Product  Quantity Ordered  Price Each  \\\n",
       "0    176558        USB-C Charging Cable                 2   11.950000   \n",
       "2    176559  Bose SoundSport Headphones                 1   99.989998   \n",
       "3    176560                Google Phone                 1  600.000000   \n",
       "4    176560            Wired Headphones                 1   11.990000   \n",
       "5    176561            Wired Headphones                 1   11.990000   \n",
       "\n",
       "           Order Date                      Purchase Address  Month  \\\n",
       "0 2019-04-19 08:46:00          917 1st St, Dallas, TX 75001      4   \n",
       "2 2019-04-07 22:30:00     682 Chestnut St, Boston, MA 02215      4   \n",
       "3 2019-04-12 14:38:00  669 Spruce St, Los Angeles, CA 90001      4   \n",
       "4 2019-04-12 14:38:00  669 Spruce St, Los Angeles, CA 90001      4   \n",
       "5 2019-04-30 09:27:00     333 8th St, Los Angeles, CA 90001      4   \n",
       "\n",
       "   Total Price             City  \n",
       "0    23.900000        Dallas TX  \n",
       "2    99.989998        Boston MA  \n",
       "3   600.000000   Los Angeles CA  \n",
       "4    11.990000   Los Angeles CA  \n",
       "5    11.990000   Los Angeles CA  "
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Add Month, and Total Price Column\n",
    "sales_data['Month']  = sales_data['Order Date'].dt.month\n",
    "sales_data['Total Price']  = sales_data['Quantity Ordered'] * sales_data['Price Each'] \n",
    "sales_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "6d7dd3f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Sales (Million $)')"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Question 1: What was the best month for sales? How much was earned that month?\n",
    "#Answer 1: the 12th month, almost 5 milion $\n",
    "\n",
    "months = range(1, 13)\n",
    "month_sales = sales_data.groupby(['Month']).sum('Total Price')\n",
    "plt.bar(months, month_sales['Total Price'])\n",
    "\n",
    "plt.xticks(months)\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Sales (Million $)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "id": "12a06fed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>Total Price</th>\n",
       "      <th>City</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>176558</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.950000</td>\n",
       "      <td>2019-04-19 08:46:00</td>\n",
       "      <td>917 1st St, Dallas, TX 75001</td>\n",
       "      <td>4</td>\n",
       "      <td>23.900000</td>\n",
       "      <td>Dallas TX</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>176559</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.989998</td>\n",
       "      <td>2019-04-07 22:30:00</td>\n",
       "      <td>682 Chestnut St, Boston, MA 02215</td>\n",
       "      <td>4</td>\n",
       "      <td>99.989998</td>\n",
       "      <td>Boston MA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.000000</td>\n",
       "      <td>2019-04-12 14:38:00</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>600.000000</td>\n",
       "      <td>Los Angeles CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.990000</td>\n",
       "      <td>2019-04-12 14:38:00</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.990000</td>\n",
       "      <td>Los Angeles CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>176561</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.990000</td>\n",
       "      <td>2019-04-30 09:27:00</td>\n",
       "      <td>333 8th St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.990000</td>\n",
       "      <td>Los Angeles CA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Order ID                     Product  Quantity Ordered  Price Each  \\\n",
       "0    176558        USB-C Charging Cable                 2   11.950000   \n",
       "2    176559  Bose SoundSport Headphones                 1   99.989998   \n",
       "3    176560                Google Phone                 1  600.000000   \n",
       "4    176560            Wired Headphones                 1   11.990000   \n",
       "5    176561            Wired Headphones                 1   11.990000   \n",
       "\n",
       "           Order Date                      Purchase Address  Month  \\\n",
       "0 2019-04-19 08:46:00          917 1st St, Dallas, TX 75001      4   \n",
       "2 2019-04-07 22:30:00     682 Chestnut St, Boston, MA 02215      4   \n",
       "3 2019-04-12 14:38:00  669 Spruce St, Los Angeles, CA 90001      4   \n",
       "4 2019-04-12 14:38:00  669 Spruce St, Los Angeles, CA 90001      4   \n",
       "5 2019-04-30 09:27:00     333 8th St, Los Angeles, CA 90001      4   \n",
       "\n",
       "   Total Price             City  \n",
       "0    23.900000        Dallas TX  \n",
       "2    99.989998        Boston MA  \n",
       "3   600.000000   Los Angeles CA  \n",
       "4    11.990000   Los Angeles CA  \n",
       "5    11.990000   Los Angeles CA  "
      ]
     },
     "execution_count": 194,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Add City Column\n",
    "adress = sales_data['Purchase Address'].str.split(',', expand=True)\n",
    "city = adress[1]\n",
    "state = adress[2].apply(lambda x: x.split(' ')[1])\n",
    "sales_data['City'] = city + ' ' + state\n",
    "sales_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "id": "c0dd7306",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Sales (Million $)')"
      ]
     },
     "execution_count": 193,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Question2: What city sold the most product?\n",
    "#Answer2 : San Francisico CA\n",
    "\n",
    "sales_data.groupby('City').sum()['Total Price'].plot.bar()\n",
    "plt.xlabel('City')\n",
    "plt.ylabel('Sales (Million $)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "1cad8c29",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(185950, 11)"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Add Day and Hour Columns\n",
    "sales_data['Order Date'] = pd.to_datetime(sales_data['Order Date'])\n",
    "sales_data['Hour'] = sales_data['Order Date'].dt.hour\n",
    "sales_data['Minute'] = sales_data['Order Date'].dt.minute\n",
    "sales_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "59354c46",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Sales (Million $)')"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Question 3: What time should we display advertisements to maximize likelihood of customer's buying product?\n",
    "# Answer 3: Around 1 AM would be great time each day, also at the beginning of May.\n",
    "\n",
    "sales_per_day = sales_data.groupby('Hour').sum()['Total Price']\n",
    "sales_per_day.plot()\n",
    "\n",
    "plt.xlabel('Hour')\n",
    "plt.xticks(range(0, 24))\n",
    "plt.grid()\n",
    "plt.ylabel('Sales (Million $)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "28bd57c2",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Sales ($)')"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sales_data['Day'] = sales_data['Order Date'].dt.date\n",
    "sales_per_day = sales_data.groupby('Day').sum()['Total Price']\n",
    "sales_per_day.plot()\n",
    "plt.ylabel('Sales ($)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 281,
   "id": "4cfdf3c9",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-281-527e298be2d5>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  prods_order_togther['Grouped Products'] = prods_order_togther.groupby('Order ID')['Product'].transform(lambda x: ','.join(x))\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Grouped Products</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone,Wired Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>176574</td>\n",
       "      <td>Google Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>176585</td>\n",
       "      <td>Bose SoundSport Headphones,Bose SoundSport Hea...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>176586</td>\n",
       "      <td>AAA Batteries (4-pack),Google Phone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>176672</td>\n",
       "      <td>Lightning Charging Cable,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Order ID                                   Grouped Products\n",
       "3      176560                      Google Phone,Wired Headphones\n",
       "18     176574                  Google Phone,USB-C Charging Cable\n",
       "30     176585  Bose SoundSport Headphones,Bose SoundSport Hea...\n",
       "32     176586                AAA Batteries (4-pack),Google Phone\n",
       "119    176672      Lightning Charging Cable,USB-C Charging Cable"
      ]
     },
     "execution_count": 281,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Get the products ordered togather\n",
    "products = [product for product, _ in grouped_by_product]\n",
    "prods_order_togther = sales_data[sales_data.duplicated(['Order ID'], keep=False)]\n",
    "prods_order_togther['Grouped Products'] = prods_order_togther.groupby('Order ID')['Product'].transform(lambda x: ','.join(x))\n",
    "prods_order_togther = prods_order_togther[['Order ID', 'Grouped Products']].drop_duplicates()\n",
    "prods_order_togther.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "id": "d7aef78c",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Group up and sum any 2 products ordered togather\n",
    "count = Counter()\n",
    "for row in temp_df['Grouped Products']:\n",
    "    row_list = row.split(',')\n",
    "    count.update(Counter(combinations(row_list, 2)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "id": "03bf0802",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Look up table product to index\n",
    "productToIdx = {}\n",
    "for i, product in enumerate(products):\n",
    "    productToIdx[product] = i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 279,
   "id": "107a1cf6",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Prepare heat map matrix\n",
    "product_types = len(products)\n",
    "product_mat = np.zeros([product_types, product_types], 'int32')\n",
    "for prod1,prod2 in count:\n",
    "    order_num = count[(prod1, prod2)]\n",
    "    product_mat[productToIdx[prod1]][productToIdx[prod2]] = order_num"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "id": "af987520",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Question 4: What products are most often sold together?\n",
    "#Answer 4: 1-Lightning Charging Cable,iPhone 2- Google Phone,USB-C Charging Cable ..\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "im = ax.imshow(product_mat)\n",
    "\n",
    "# We want to show all ticks...\n",
    "ax.set_xticks(np.arange(product_types))\n",
    "ax.set_yticks(np.arange(product_types))\n",
    "\n",
    "# ... and label them with the respective list entries\n",
    "ax.set_xticklabels(products, rotation='vertical')\n",
    "ax.set_yticklabels(products)\n",
    "\n",
    "fig.set_size_inches(6,6)\n",
    "ax.set_title(\"Items ordered togther\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 273,
   "id": "e34859e3",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-273-a41bc6d7b07b>:15: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  ax1.set_xticklabels(products, rotation='vertical')\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Question 5: What product sold the most? Why do you think it sold the most?\n",
    "#Answer 5: Batteries, Charging Cable .. Maybe cause they are not costy\n",
    "\n",
    "grouped_by_product = sales_data.groupby(['Product'])\n",
    "sold_quantity_per_product = grouped_by_product['Quantity Ordered'].sum()\n",
    "product_price = grouped_by_product.mean()['Price Each']\n",
    "\n",
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax1.bar(products, sold_quantity_per_product, width=.9)\n",
    "ax2.bar(products, product_price, width=.45, align='edge', color='red')\n",
    "\n",
    "ax1.set_xlabel('Products')\n",
    "ax1.set_ylabel('Ordered Quantity', color='b')\n",
    "ax2.set_ylabel('Product Price ($)', color='r')\n",
    "ax1.set_xticklabels(products, rotation='vertical')\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}