{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "2fec5722",
   "metadata": {},
   "source": [
    "# Q7: Data Loading, Storage and File Formats\n",
    "\n",
    "**Problem Statement:** Analyzing Sales Data from Multiple File Formats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a0fd5410",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CSV (25, 8) ['OrderID', 'Date', 'Region', 'CustomerID', 'Product', 'Category', 'Quantity', 'UnitPrice']\n",
      " OrderID       Date Region CustomerID    Product    Category  Quantity  UnitPrice\n",
      "    1001 2025-01-01  North       C003     Laptop Electronics       4.0   51364.34\n",
      "    1002 2025-01-03  South       C013 Headphones Electronics       5.0    1871.05 \n",
      "\n",
      "Excel (24, 8) ['OrderID', 'Date', 'Region', 'CustomerID', 'Product', 'Category', 'Quantity', 'UnitPrice']\n",
      " OrderID       Date Region CustomerID    Product    Category  Quantity  UnitPrice\n",
      "    1026 2025-02-20  South       C025     Laptop Electronics         1   46876.57\n",
      "    1027 2025-02-22   East       C024 Headphones Electronics         4    1859.35 \n",
      "\n",
      "JSON (24, 8) ['OrderID', 'Date', 'Region', 'CustomerID', 'Product', 'Category', 'Quantity', 'UnitPrice']\n",
      " OrderID       Date Region CustomerID      Product    Category  Quantity  UnitPrice\n",
      "    1050 2025-04-09  South       C011 Water Bottle        Home         1     491.57\n",
      "    1051 2025-04-11   East       C011       Laptop Electronics         5   54076.95 \n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Load each file format separately.\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "csv_sales = pd.read_csv(\"sales_data.csv\")\n",
    "excel_sales = pd.read_excel(\"sales_data.xlsx\")\n",
    "json_sales = pd.read_json(\"sales_data.json\")\n",
    "for name, frame in [(\"CSV\", csv_sales), (\"Excel\", excel_sales), (\"JSON\", json_sales)]:\n",
    "    print(name, frame.shape, frame.columns.tolist())\n",
    "    print(frame.head(2).to_string(index=False), \"\\n\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "efde0e0d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rows before cleaning: 73\n",
      "Missing values:\n",
      " OrderID       0\n",
      "Date          0\n",
      "Region        0\n",
      "CustomerID    0\n",
      "Product       0\n",
      "Category      0\n",
      "Quantity      1\n",
      "UnitPrice     0\n",
      "Repeated order IDs: 1\n"
     ]
    }
   ],
   "source": [
    "# Inspect missing data and repeated order IDs before cleaning.\n",
    "sales = pd.concat([csv_sales, excel_sales, json_sales], ignore_index=True)\n",
    "print(\"Rows before cleaning:\", len(sales))\n",
    "print(\"Missing values:\\n\", sales.isna().sum().to_string())\n",
    "print(\"Repeated order IDs:\", sales.duplicated(subset=\"OrderID\").sum())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5aa77943",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Clean rows: 72\n",
      "Remaining missing values: 0\n"
     ]
    }
   ],
   "source": [
    "# Standardize fields, remove duplicate orders, and fill a missing quantity.\n",
    "sales[\"Region\"] = sales[\"Region\"].astype(str).str.strip().str.title()\n",
    "sales[\"Date\"] = pd.to_datetime(sales[\"Date\"], errors=\"coerce\")\n",
    "sales[\"Quantity\"] = pd.to_numeric(sales[\"Quantity\"], errors=\"coerce\")\n",
    "sales[\"UnitPrice\"] = pd.to_numeric(sales[\"UnitPrice\"], errors=\"coerce\")\n",
    "sales = sales.drop_duplicates(subset=\"OrderID\")\n",
    "sales[\"Quantity\"] = sales[\"Quantity\"].fillna(sales[\"Quantity\"].median())\n",
    "sales = sales.dropna(subset=[\"Date\", \"UnitPrice\"])\n",
    "print(\"Clean rows:\", len(sales))\n",
    "print(\"Remaining missing values:\", int(sales.isna().sum().sum()))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0e34c25f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total sales: 2668537.53\n",
      "Average order value: 37063.02\n",
      "By category:\n",
      "              count         sum      mean\n",
      "Category                                \n",
      "Electronics     30  2414143.43  80471.45\n",
      "Furniture       14   234116.09  16722.58\n",
      "Home            14    13028.35    930.60\n",
      "Stationery      14     7249.66    517.83\n"
     ]
    }
   ],
   "source": [
    "# Derive sales metrics and a month for aggregation.\n",
    "sales[\"TotalSales\"] = sales[\"Quantity\"] * sales[\"UnitPrice\"]\n",
    "sales[\"Month\"] = sales[\"Date\"].dt.to_period(\"M\").astype(str)\n",
    "print(\"Total sales:\", round(sales[\"TotalSales\"].sum(), 2))\n",
    "print(\"Average order value:\", round(sales[\"TotalSales\"].mean(), 2))\n",
    "print(\"By category:\\n\", sales.groupby(\"Category\")[\"TotalSales\"].agg([\"count\", \"sum\", \"mean\"]).round(2).to_string())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "145b2e7f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Compare regions, categories and monthly trends visually.\n",
    "fig, axes = plt.subplots(1, 3, figsize=(15, 4))\n",
    "sales.groupby(\"Region\")[\"TotalSales\"].sum().plot.bar(ax=axes[0], title=\"Sales by region\")\n",
    "sales.groupby(\"Category\")[\"TotalSales\"].sum().plot.pie(ax=axes[1], title=\"Category share\", autopct=\"%1.0f%%\")\n",
    "axes[1].set_ylabel(\"\")\n",
    "sales.groupby(\"Month\")[\"TotalSales\"].sum().plot(ax=axes[2], marker=\"o\", title=\"Monthly sales\")\n",
    "axes[0].set_ylabel(\"Sales amount\")\n",
    "axes[2].tick_params(axis=\"x\", rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "file_extension": ".py",
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
