AAL Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "72efc33c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe 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>Date</th>\n",
       "      <th>Time</th>\n",
       "      <th>State</th>\n",
       "      <th>Group</th>\n",
       "      <th>Unit</th>\n",
       "      <th>Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>Morning</td>\n",
       "      <td>WA</td>\n",
       "      <td>Kids</td>\n",
       "      <td>8</td>\n",
       "      <td>20000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>Morning</td>\n",
       "      <td>WA</td>\n",
       "      <td>Men</td>\n",
       "      <td>8</td>\n",
       "      <td>20000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>Morning</td>\n",
       "      <td>WA</td>\n",
       "      <td>Women</td>\n",
       "      <td>4</td>\n",
       "      <td>10000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>Morning</td>\n",
       "      <td>WA</td>\n",
       "      <td>Seniors</td>\n",
       "      <td>15</td>\n",
       "      <td>37500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>Afternoon</td>\n",
       "      <td>WA</td>\n",
       "      <td>Kids</td>\n",
       "      <td>3</td>\n",
       "      <td>7500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Date        Time State     Group  Unit  Sales\n",
       "0 2020-10-01     Morning    WA      Kids     8  20000\n",
       "1 2020-10-01     Morning    WA       Men     8  20000\n",
       "2 2020-10-01     Morning    WA     Women     4  10000\n",
       "3 2020-10-01     Morning    WA   Seniors    15  37500\n",
       "4 2020-10-01   Afternoon    WA      Kids     3   7500"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Importing necessary libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "# Load the data from the provided Excel file\n",
    "sales_data = pd.read_excel('/1688639662_ausapparalsales4thqrt2020.xlsx')\n",
    "\n",
    "# Display the first few rows of the dataset\n",
    "sales_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "86d21202",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date     0\n",
       "Time     0\n",
       "State    0\n",
       "Group    0\n",
       "Unit     0\n",
       "Sales    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check for missing data in the dataset\n",
    "missing_data = sales_data.isna().sum()\n",
    "\n",
    "# Display the count of missing values for each column\n",
    "missing_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8b44da4a",
   "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>Unit</th>\n",
       "      <th>Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>7560.000000</td>\n",
       "      <td>7560.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>18.005423</td>\n",
       "      <td>45013.558201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>12.901403</td>\n",
       "      <td>32253.506944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>8.000000</td>\n",
       "      <td>20000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>14.000000</td>\n",
       "      <td>35000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>26.000000</td>\n",
       "      <td>65000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>65.000000</td>\n",
       "      <td>162500.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Unit          Sales\n",
       "count  7560.000000    7560.000000\n",
       "mean     18.005423   45013.558201\n",
       "std      12.901403   32253.506944\n",
       "min       2.000000    5000.000000\n",
       "25%       8.000000   20000.000000\n",
       "50%      14.000000   35000.000000\n",
       "75%      26.000000   65000.000000\n",
       "max      65.000000  162500.000000"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Basic statistics for the \"Unit\" and \"Sales\" columns\n",
    "sales_data[['Unit', 'Sales']].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1281442c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(            Unit                                                     Sales  \\\n",
       "            count       mean        std  min  25%   50%   75%   max   count   \n",
       " Group                                                                        \n",
       "  Kids     1890.0  18.004762  12.748596  2.0  8.0  14.0  26.0  65.0  1890.0   \n",
       "  Men      1890.0  18.148148  12.870872  2.0  8.0  14.0  26.0  64.0  1890.0   \n",
       "  Seniors  1890.0  17.785714  12.878144  2.0  8.0  14.0  25.0  65.0  1890.0   \n",
       "  Women    1890.0  18.083069  13.112656  2.0  8.0  14.0  27.0  65.0  1890.0   \n",
       " \n",
       "                                                                          \\\n",
       "                   mean           std     min      25%      50%      75%   \n",
       " Group                                                                     \n",
       "  Kids     45011.904762  31871.491085  5000.0  20000.0  35000.0  65000.0   \n",
       "  Men      45370.370370  32177.180712  5000.0  20000.0  35000.0  65000.0   \n",
       "  Seniors  44464.285714  32195.360017  5000.0  20000.0  35000.0  62500.0   \n",
       "  Women    45207.671958  32781.639869  5000.0  20000.0  35000.0  67500.0   \n",
       " \n",
       "                     \n",
       "                max  \n",
       " Group               \n",
       "  Kids     162500.0  \n",
       "  Men      160000.0  \n",
       "  Seniors  162500.0  \n",
       "  Women    162500.0  ,\n",
       " ' Men',\n",
       " ' Seniors',\n",
       " ' VIC',\n",
       " ' WA')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Descriptive statistical analysis for the \"Sales\" and \"Unit\" columns grouped by \"Group\"\n",
    "group_stats = sales_data.groupby('Group')[['Unit', 'Sales']].describe()\n",
    "\n",
    "# Determine the group with the highest and lowest sales\n",
    "max_sales_group = sales_data.groupby('Group')['Sales'].sum().idxmax()\n",
    "min_sales_group = sales_data.groupby('Group')['Sales'].sum().idxmin()\n",
    "\n",
    "# Determine the state with the highest and lowest sales\n",
    "max_sales_state = sales_data.groupby('State')['Sales'].sum().idxmax()\n",
    "min_sales_state = sales_data.groupby('State')['Sales'].sum().idxmin()\n",
    "\n",
    "group_stats, max_sales_group, min_sales_group, max_sales_state, min_sales_state\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e82ff8f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(Group     Kids      Men   Seniors    Women\n",
       " Week                                      \n",
       " 40     3690000  3730000   3782500  3842500\n",
       " 41     7020000  6807500   6737500  6437500\n",
       " 42     6707500  6710000   6470000  6752500\n",
       " 43     6525000  6872500   6757500  6660000\n",
       " 44     5490000  5507500   5540000  5270000\n",
       " 45     5125000  5335000   4962500  5442500\n",
       " 46     5315000  5242500   5397500  5217500\n",
       " 47     5302500  5025000   5200000  5585000\n",
       " 48     5577500  5482500   5302500  5115000\n",
       " 49     7362500  7505000   7217500  7537500\n",
       " 50     8030000  7802500   7805000  7887500\n",
       " 51     7765000  7990000   7772500  8127500\n",
       " 52     7630000  8337500   7685000  8117500\n",
       " 53     3532500  3402500   3407500  3450000,\n",
       " Group      Kids       Men   Seniors     Women\n",
       " Month                                        \n",
       " 10     28635000  28885000  28565000  28205000\n",
       " 11     22882500  22615000  22322500  22862500\n",
       " 12     33555000  34250000  33150000  34375000,\n",
       " Group        Kids       Men   Seniors     Women\n",
       " Quarter                                        \n",
       " 4        85072500  85750000  84037500  85442500)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Extracting month, week, and quarter from the Date column for further analysis\n",
    "sales_data['Month'] = sales_data['Date'].dt.month\n",
    "sales_data['Week'] = sales_data['Date'].dt.isocalendar().week\n",
    "sales_data['Quarter'] = sales_data['Date'].dt.quarter\n",
    "\n",
    "# Weekly report\n",
    "weekly_report = sales_data.groupby(['Week', 'Group'])['Sales'].sum().unstack()\n",
    "\n",
    "# Monthly report\n",
    "monthly_report = sales_data.groupby(['Month', 'Group'])['Sales'].sum().unstack()\n",
    "\n",
    "# Quarterly report\n",
    "quarterly_report = sales_data.groupby(['Quarter', 'Group'])['Sales'].sum().unstack()\n",
    "\n",
    "weekly_report, monthly_report, quarterly_report\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a33b92dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Setting the style for Seaborn plots\n",
    "sns.set_style(\"whitegrid\")\n",
    "\n",
    "# Setting the rocket color palette for the plot\n",
    "palette = sns.color_palette(\"rocket\")\n",
    "\n",
    "# State-wise sales analysis for different groups\n",
    "plt.figure(figsize=(15, 7))\n",
    "sns.barplot(data=sales_data, x=\"State\", y=\"Sales\", hue=\"Group\", estimator=sum, errorbar=None, palette=palette)\n",
    "plt.title(\"State-wise Sales Analysis for Different Groups\")\n",
    "plt.ylabel(\"Total Sales\")\n",
    "plt.xlabel(\"State\")\n",
    "plt.legend(title=\"Customer Group\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "bf1afaff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Group-wise sales analysis across different states\n",
    "plt.figure(figsize=(15, 7))\n",
    "sns.barplot(data=sales_data, x=\"Group\", y=\"Sales\", hue=\"State\", estimator=sum, errorbar=None, palette=palette)\n",
    "plt.title(\"Group-wise Sales Analysis Across Different States\")\n",
    "plt.ylabel(\"Total Sales\")\n",
    "plt.xlabel(\"Customer Group\")\n",
    "plt.legend(title=\"State\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "1bfad134",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Time-of-the-day analysis\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(data=sales_data, x=\"Time\", y=\"Sales\", estimator=sum, errorbar=None,  color=palette[0], order=[\"Morning\", \"Afternoon\", \"Evening\", \"Night\"])\n",
    "plt.title(\"Time-of-the-Day Sales Analysis\")\n",
    "plt.ylabel(\"Total Sales\")\n",
    "plt.xlabel(\"Time of the Day\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "01bc7ab8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Daily sales analysis\n",
    "plt.figure(figsize=(18, 7))\n",
    "sns.lineplot(data=sales_data, x=\"Date\", y=\"Sales\", estimator=sum, errorbar=None, color=palette[0])\n",
    "plt.title(\"Daily Sales Analysis\")\n",
    "plt.ylabel(\"Total Sales\")\n",
    "plt.xlabel(\"Date\")\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "d244e3d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Weekly sales analysis\n",
    "plt.figure(figsize=(15, 7))\n",
    "sns.lineplot(data=sales_data, x=\"Week\", y=\"Sales\", estimator=sum, errorbar=None, color=palette[0])\n",
    "plt.title(\"Weekly Sales Analysis\")\n",
    "plt.ylabel(\"Total Sales\")\n",
    "plt.xlabel(\"Week of the Year\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "3a36a568",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Monthly sales analysis\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(data=sales_data, x=\"Month\", y=\"Sales\", estimator=sum, errorbar=None, palette=palette)\n",
    "plt.title(\"Monthly Sales Analysis\")\n",
    "plt.ylabel(\"Total Sales\")\n",
    "plt.xlabel(\"Month of the Year\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "f67dc12e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Quarterly sales analysis\n",
    "plt.figure(figsize=(7, 6))\n",
    "sns.barplot(data=sales_data, x=\"Quarter\", y=\"Sales\", estimator=sum, errorbar=None, palette=palette)\n",
    "plt.title(\"Quarterly Sales Analysis\")\n",
    "plt.ylabel(\"Total Sales\")\n",
    "plt.xlabel(\"Quarter of the Year\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "23cb6b53",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Box plot for descriptive statistics across different customer groups\n",
    "plt.figure(figsize=(12, 7))\n",
    "sns.boxplot(data=sales_data, x=\"Group\", y=\"Sales\", palette=palette)\n",
    "plt.title(\"Sales Distribution Across Customer Groups\")\n",
    "plt.ylabel(\"Sales\")\n",
    "plt.xlabel(\"Customer Group\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "07baf320",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Box plot for descriptive statistics across different states\n",
    "plt.figure(figsize=(15, 7))\n",
    "sns.boxplot(data=sales_data, x=\"State\", y=\"Sales\", palette=palette)\n",
    "plt.title(\"Sales Distribution Across States\")\n",
    "plt.ylabel(\"Sales\")\n",
    "plt.xlabel(\"State\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "28bd845b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Seaborn distribution plot for sales\n",
    "plt.figure(figsize=(12, 7))\n",
    "sns.histplot(sales_data['Sales'], kde=True, bins=30, color=palette[0])\n",
    "plt.title(\"Distribution of Sales\")\n",
    "plt.ylabel(\"Frequency\")\n",
    "plt.xlabel(\"Sales\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "76ab14a3",
   "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": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}