{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "660a4208",
   "metadata": {},
   "source": [
    "# Product Data Analytics & Exploration\n",
    "\n",
    "**Objective:** To load, clean, and analyze the `intern_data_ikarus.csv` dataset to uncover insights that will be displayed on the Analytics page of our web app.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fd924268",
   "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 ast  # To safely evaluate string-formatted lists\n",
    "\n",
    "# Set plot style\n",
    "sns.set_style('whitegrid')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62552847",
   "metadata": {},
   "source": [
    "## 1. Load and Inspect Data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "193b2685",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 312 entries, 0 to 311\n",
      "Data columns (total 12 columns):\n",
      " #   Column              Non-Null Count  Dtype \n",
      "---  ------              --------------  ----- \n",
      " 0   title               312 non-null    object\n",
      " 1   brand               312 non-null    object\n",
      " 2   description         159 non-null    object\n",
      " 3   price               215 non-null    object\n",
      " 4   categories          312 non-null    object\n",
      " 5   images              312 non-null    object\n",
      " 6   manufacturer        205 non-null    object\n",
      " 7   package_dimensions  306 non-null    object\n",
      " 8   country_of_origin   125 non-null    object\n",
      " 9   material            218 non-null    object\n",
      " 10  color               265 non-null    object\n",
      " 11  uniq_id             312 non-null    object\n",
      "dtypes: object(12)\n",
      "memory usage: 29.4+ KB\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv('intern_data_ikarus.csv')\n",
    "df.info()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8b2b940e",
   "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>title</th>\n",
       "      <th>brand</th>\n",
       "      <th>description</th>\n",
       "      <th>price</th>\n",
       "      <th>categories</th>\n",
       "      <th>images</th>\n",
       "      <th>manufacturer</th>\n",
       "      <th>package_dimensions</th>\n",
       "      <th>country_of_origin</th>\n",
       "      <th>material</th>\n",
       "      <th>color</th>\n",
       "      <th>uniq_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GOYMFK 1pc Free Standing Shoe Rack, Multi-laye...</td>\n",
       "      <td>GOYMFK</td>\n",
       "      <td>multiple shoes, coats, hats, and other items E...</td>\n",
       "      <td>$24.99</td>\n",
       "      <td>['Home &amp; Kitchen', 'Storage &amp; Organization', '...</td>\n",
       "      <td>['https://m.media-amazon.com/images/I/416WaLx1...</td>\n",
       "      <td>GOYMFK</td>\n",
       "      <td>2.36\"D x 7.87\"W x 21.6\"H</td>\n",
       "      <td>China</td>\n",
       "      <td>Metal</td>\n",
       "      <td>White</td>\n",
       "      <td>02593e81-5c09-5069-8516-b0b29f439ded</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>subrtex Leather ding Room, Dining Chairs Set o...</td>\n",
       "      <td>subrtex</td>\n",
       "      <td>subrtex Dining chairs Set of 2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Home &amp; Kitchen', 'Furniture', 'Dining Room F...</td>\n",
       "      <td>['https://m.media-amazon.com/images/I/31SejUEW...</td>\n",
       "      <td>Subrtex Houseware INC</td>\n",
       "      <td>18.5\"D x 16\"W x 35\"H</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sponge</td>\n",
       "      <td>Black</td>\n",
       "      <td>5938d217-b8c5-5d3e-b1cf-e28e340f292e</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Plant Repotting Mat MUYETOL Waterproof Transpl...</td>\n",
       "      <td>MUYETOL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$5.98</td>\n",
       "      <td>['Patio, Lawn &amp; Garden', 'Outdoor Décor', 'Doo...</td>\n",
       "      <td>['https://m.media-amazon.com/images/I/41RgefVq...</td>\n",
       "      <td>MUYETOL</td>\n",
       "      <td>26.8\"L x 26.8\"W</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Polyethylene</td>\n",
       "      <td>Green</td>\n",
       "      <td>b2ede786-3f51-5a45-9a5b-bcf856958cd8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Pickleball Doormat, Welcome Doormat Absorbent ...</td>\n",
       "      <td>VEWETOL</td>\n",
       "      <td>The decorative doormat features a subtle textu...</td>\n",
       "      <td>$13.99</td>\n",
       "      <td>['Patio, Lawn &amp; Garden', 'Outdoor Décor', 'Doo...</td>\n",
       "      <td>['https://m.media-amazon.com/images/I/61vz1Igl...</td>\n",
       "      <td>Contrence</td>\n",
       "      <td>24\"L x 16\"W</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Rubber</td>\n",
       "      <td>A5589</td>\n",
       "      <td>8fd9377b-cfa6-5f10-835c-6b8eca2816b5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>JOIN IRON Foldable TV Trays for Eating Set of ...</td>\n",
       "      <td>JOIN IRON Store</td>\n",
       "      <td>Set of Four Folding Trays With Matching Storag...</td>\n",
       "      <td>$89.99</td>\n",
       "      <td>['Home &amp; Kitchen', 'Furniture', 'Game &amp; Recrea...</td>\n",
       "      <td>['https://m.media-amazon.com/images/I/41p4d4VJ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.9\"D x 14.2\"W x 26\"H</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iron</td>\n",
       "      <td>Grey Set of 4</td>\n",
       "      <td>bdc9aa30-9439-50dc-8e89-213ea211d66a</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               title            brand  \\\n",
       "0  GOYMFK 1pc Free Standing Shoe Rack, Multi-laye...           GOYMFK   \n",
       "1  subrtex Leather ding Room, Dining Chairs Set o...          subrtex   \n",
       "2  Plant Repotting Mat MUYETOL Waterproof Transpl...          MUYETOL   \n",
       "3  Pickleball Doormat, Welcome Doormat Absorbent ...          VEWETOL   \n",
       "4  JOIN IRON Foldable TV Trays for Eating Set of ...  JOIN IRON Store   \n",
       "\n",
       "                                         description   price  \\\n",
       "0  multiple shoes, coats, hats, and other items E...  $24.99   \n",
       "1                     subrtex Dining chairs Set of 2     NaN   \n",
       "2                                                NaN   $5.98   \n",
       "3  The decorative doormat features a subtle textu...  $13.99   \n",
       "4  Set of Four Folding Trays With Matching Storag...  $89.99   \n",
       "\n",
       "                                          categories  \\\n",
       "0  ['Home & Kitchen', 'Storage & Organization', '...   \n",
       "1  ['Home & Kitchen', 'Furniture', 'Dining Room F...   \n",
       "2  ['Patio, Lawn & Garden', 'Outdoor Décor', 'Doo...   \n",
       "3  ['Patio, Lawn & Garden', 'Outdoor Décor', 'Doo...   \n",
       "4  ['Home & Kitchen', 'Furniture', 'Game & Recrea...   \n",
       "\n",
       "                                              images           manufacturer  \\\n",
       "0  ['https://m.media-amazon.com/images/I/416WaLx1...                 GOYMFK   \n",
       "1  ['https://m.media-amazon.com/images/I/31SejUEW...  Subrtex Houseware INC   \n",
       "2  ['https://m.media-amazon.com/images/I/41RgefVq...                MUYETOL   \n",
       "3  ['https://m.media-amazon.com/images/I/61vz1Igl...              Contrence   \n",
       "4  ['https://m.media-amazon.com/images/I/41p4d4VJ...                    NaN   \n",
       "\n",
       "         package_dimensions country_of_origin      material          color  \\\n",
       "0  2.36\"D x 7.87\"W x 21.6\"H             China         Metal          White   \n",
       "1      18.5\"D x 16\"W x 35\"H               NaN        Sponge          Black   \n",
       "2           26.8\"L x 26.8\"W               NaN  Polyethylene          Green   \n",
       "3               24\"L x 16\"W               NaN        Rubber          A5589   \n",
       "4    18.9\"D x 14.2\"W x 26\"H               NaN          Iron  Grey Set of 4   \n",
       "\n",
       "                                uniq_id  \n",
       "0  02593e81-5c09-5069-8516-b0b29f439ded  \n",
       "1  5938d217-b8c5-5d3e-b1cf-e28e340f292e  \n",
       "2  b2ede786-3f51-5a45-9a5b-bcf856958cd8  \n",
       "3  8fd9377b-cfa6-5f10-835c-6b8eca2816b5  \n",
       "4  bdc9aa30-9439-50dc-8e89-213ea211d66a  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be21a160",
   "metadata": {},
   "source": [
    "## 2. Data Cleaning and Preprocessing\n",
    "\n",
    "The following steps are crucial for making the data usable:\n",
    "1. **Price Column:** Convert the price from a string (e.g., `$24.99`) to a numeric type.  \n",
    "2. **List-like Columns:** The `categories` and `images` columns are strings that look like lists. We need to parse them into actual lists.  \n",
    "3. **Handle Missing Values:** Check for and decide on a strategy for any `NaN` values.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3b9a4341",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Missing values per column:\n",
      "title                   0\n",
      "brand                   0\n",
      "description           153\n",
      "price                  97\n",
      "categories              0\n",
      "images                  0\n",
      "manufacturer          107\n",
      "package_dimensions      6\n",
      "country_of_origin     187\n",
      "material               94\n",
      "color                  47\n",
      "uniq_id                 0\n",
      "price_numeric          97\n",
      "categories_list         0\n",
      "images_list             0\n",
      "dtype: int64\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<>:2: SyntaxWarning: invalid escape sequence '\\$'\n",
      "<>:2: SyntaxWarning: invalid escape sequence '\\$'\n",
      "/var/folders/mz/98ctw4990_98lwy5yjc4560w0000gn/T/ipykernel_29975/4067711131.py:2: SyntaxWarning: invalid escape sequence '\\$'\n",
      "  df['price_numeric'] = df['price'].replace('[\\$,]', '', regex=True).astype(float)\n"
     ]
    }
   ],
   "source": [
    "# Clean price column\n",
    "df['price_numeric'] = df['price'].replace('[\\$,]', '', regex=True).astype(float)\n",
    "\n",
    "# Function to safely parse string-formatted lists\n",
    "def parse_string_list(s):\n",
    "    try:\n",
    "        return ast.literal_eval(s)\n",
    "    except (ValueError, SyntaxError):\n",
    "        return []\n",
    "\n",
    "# Apply parsing\n",
    "df['categories_list'] = df['categories'].apply(parse_string_list)\n",
    "df['images_list'] = df['images'].apply(parse_string_list)\n",
    "\n",
    "# Check for missing values\n",
    "print(\"Missing values per column:\")\n",
    "print(df.isnull().sum())\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "401ee917",
   "metadata": {},
   "source": [
    "## 3. Exploratory Data Analysis (EDA)\n",
    "\n",
    "Now we can derive some insights. These results can be saved to a JSON file to be served by our FastAPI backend.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fa2e9baa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Price Distribution\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.histplot(df['price_numeric'], bins=50, kde=True)\n",
    "plt.title('Distribution of Product Prices')\n",
    "plt.xlabel('Price ($)')\n",
    "plt.ylabel('Frequency')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "04b512ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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doaDMapY7jdU7Zbl8+bJKlSpl+fr2MfYg36c8efLo33//VWpqaoZy6NixY0pJSbnrdbRo0UItWrRQXFycfv75Z4WHh2vo0KHy8fFRkSJFsnDFAGBsLCUDAABPjeeee04VK1bU1q1bM3z6U1xcnH744YdMS1vSP7Uo3ddffy1XV9f7Ltu5Fy8vLz333HPavn27ZVtaWpq++eYbVatWTQ4ODlk+Znx8vE6ePHnPZ8xItx7q3KRJE1WvXt1ynh9//FHS3Ze43Un16tUlKdPDlL///nvL78+cOaN69epZ9ilVqpR69uypmjVr6ty5c/c8fkRERIbZW4cPH9aZM2cs55VufTT6iy++qI8//lixsbEKCAh44PzpnJ2dNX78eP3zzz+ZPuUsfebL//3f/1m23f6A7kd1+7NytmzZIicnJ1WpUkVVqlSRvb29zp8/r0qVKll+2dvba9q0aYqJicnSuXx9ffX9999nuK9ms1lbtmxRpUqVHmrcPSxfX1+dOXPG8olo6TZu3Ch7e3tVrlxZXl5ecnR0vOcYkx7s++Tj46Pk5GTt2rXLsi0tLU3vv/++wsLCJGVewjlgwAD17dtX0q1iqWnTpurTp4/MZnOG2VoAgPtjxhAAAHiqDB48WN27d1ePHj30xhtvKDk5WQsWLFBSUpLlB8F0n376qRwdHeXp6akdO3bo+++/f6hPRfovJycndevWTXPmzJG9vb28vLy0du1aHT16VEuXLr3v+6OionTw4EHL15cuXdLChQuVlJSkHj163PO9lStX1qZNm+Th4aGiRYsqIiJC8+fPl42NjRISEh74Gtzc3NSuXTvNmDFDKSkpKl++vL766iv9+eefln1cXV1VtGhRjR8/XvHx8SpZsqR+//137dq1S2+99dY9j5+amqpevXqpd+/eio2N1bRp01SuXDm1atUqw35t2rTRtGnTVKtWLRUrVuyB8/9XrVq19Prrr2eaNVWvXj1NnDhRo0aNUs+ePXXu3DnNnj07S8ut7mfHjh0qUqSIatasqZ9//llffPFFhgch9+jRQzNnzlR8fLz8/Px0/vx5zZw5UzY2Nnr55ZezdK6+ffvqxx9/1JtvvqlevXrJwcFBK1asUHR09D1nb2WHwMBArVy5Un379lVISIhKlCihnTt3au3aterbt69luWWfPn30ySefyMnJSdWrV9euXbsyFUMP8n2qX7++vLy89N5776l///5yc3PTpk2b9Ndff2nUqFGSbi3xjIiI0P/+9z9VqFBB1atX15gxYzR58mTVrVtX165d0+zZs/Xiiy9m+d4DgNFRDAEAgKdKjRo1tGTJEs2aNUuDBg2Sg4ODfHx8NHnyZMunPKUbMWKE1q9fr/nz56tUqVKaNWvWIz+PRrr1Q7rJZNLq1au1ePFilSlTxvKR3fcTFhaWYZZDnjx55OHhoUWLFt33GTuTJk3Shx9+qA8//FCS9OKLL2rcuHHauHFjlj+6fcyYMSpYsKBWrFihq1evqk6dOurdu3eGT3WbPXu2pk+frpkzZyo2NlbFihVT37597/rcnHQNGjRQyZIlNXToUKWkpKhBgwZ6//33lStXrgz71a9fX9OmTXvgh07fzfDhw/Xzzz9nmHXy0ksvafLkyQoLC1OvXr1UunTpDPfucRg+fLi+/vprffrppypUqJDee++9DA83HjBggAoVKqSVK1dq4cKFev7551WjRg0NGjTovs+iul3ZsmW1cuVKTZ8+XSNGjJCNjY0qV66sZcuWZenZTI+Dk5OTli9frmnTpmnWrFmKj49XqVKlNGHChAyfovfWW2/pueee09KlS7V06VJ5eXlp2LBhGjt2rGWfB/k+mUwmhYeHa9q0aQoNDdWNGzf08ssva+HChZbliZ06ddLvv/+unj17auLEiWrfvr2Sk5P1+eefa+XKlXJ0dFSNGjU0dOhQ2dvbP7F7BQDPApu0259kCAAA8JTbs2eP3nzzTS1btkx+fn7WjoO7CA8P18KFC/XTTz890aVQAADgwTFjCAAAAI/V+vXr9ddff2nlypWWZVEAAODpRDEEAACAx+qPP/7Q559/rkaNGqlnz57WjgMAAO6BpWQAAAAAAAAGxcfVAwAAAAAAGBTFEAAAAAAAgEFRDAEAAAAAABgUD58GsllqaqpSUlJka2srGxsba8cBAAAAADzj0tLSlJqaKjs7O9na3ntOEMUQkM1SUlJ05MgRa8cAAAAAABhMpUqV5ODgcM99KIaAbJbezlaoUOG+fyCBp5HZbNaRI0dUqVIlmUwma8cBHgrjGDkdYxg5HWMYOV1OG8Ppee83W0iiGAKyXfryMZPJlCP+BwS4G8YwngWMY+R0jGHkdIxh5HQ5bQw/yONMePg0AAAAAACAQVEMAQAAAAAAGBTFEAAAAAAAgEFRDAEAAAAAABgUxRAAAAAAAIBBUQwBAAAAAAAYFMUQAAAAAACAQVEMAQAAAAAAGBTFEAAAAAAAgEFRDAEAAAAAABgUxRAAAAAAAIBBUQwBAO7LycnJ2hGAR8Y4Rk7HGEZOxxhGTmdvb2/tCNnCJi0tLc3aIYBnmdls1sGDB+Xp6SmTyWTtOAAAAACAh5CcYpatjXLEz3VZ+TnU7gllAgxv2NpDOnbuurVjAAAAAACyqExhZ81s7yWz2WztKI8dxRDwhPx98bqOnr1m7RgAAAAAAFjwjCEAAAAAAACDohgCAAAAAAAwKIohAAAAAAAAg6IYAgAAAAAAMCiKIQAAAAAAAIOiGAIAAAAAADAoiiEAAAAAAACDohgCAAAAAAAwKIohPHb//POPtSNk8jRmAgAAAADA2iiGHoG/v78qVaokLy+vDL+6desmSercubNCQ0Mf+Tzu7u7as2fPA+0bExMjd3d3eXp6Zso1Z86cR85yJ82bN9fGjRslSZ999plGjRqVLee5k9TUVIWHh6tZs2by8vKSr6+vunfvroiICMs+O3fuVPfu3Z9YJgAAAAAAcgo7awfI6caNG6fAwEBrx8hk8+bNKl68+BM515YtWyy/v3LlyhM5Z7oFCxZo48aNmjVrlkqXLq3ExEStWLFCXbp00aZNm+Tm5qZ///1XaWlpTzQXAAAAAAA5ATOGnpD4+HiNHDlSjRs3lqenp+rUqaN58+ZZXt++fbuaN2+uqlWrqmnTppo7d26G9//yyy967bXX5OXlpaCgIP31118PneX2GUjr1q2Tv7+/JGnPnj2qV6+eBg8eLB8fHy1YsEDDhw/X6NGj1bt3b3l5ealhw4ZatmyZ5f3+/v5at26d1q9fr/nz52vfvn3y8fHJ8Fq6PXv2yN3dXdL/n900adIk+fr6aty4cZJuFU0tW7ZU1apVFRgYqJ9//vmu17J//375+PioTJkysrGxkZOTk3r27Km2bdvq0qVL2rNnj8aMGaOzZ8/Ky8tL58+fV2JioqZMmaJ69erJ19dXnTt31uHDhzPcn/Hjx8vPz0+9e/eWJP36668KCgqSj49PhhlSAAAAAADkZMwYekKmTp2qmJgYrVmzRnny5NGOHTsUEhKipk2bqkiRIho6dKjCw8Pl5+enyMhIderUSbVr11blypUlSXv37tWiRYvk7Oysfv36afLkyVq0aFG2ZD137pxKlSqlSZMm6ebNmxo/frzWrVun+fPna/bs2VqzZo0++OADNWnSREWKFLG8r3Xr1oqJidHevXu1fPnyBz7f9evX9csvvygxMVG7du3SmDFjFBYWJm9vb/3444/q16+fVq9erbJly2Z6b/PmzTVixAj9+++/qlOnjipXrqyyZctq5MiRln3GjRun2bNna+fOnZKk4cOHKzIyUsuWLVOxYsW0atUqBQcHa/PmzXrhhRckSVFRUfrhhx+UnJysP/74Q2+//bY+/vhjNWzYUIcOHVKfPn2UL18+1alT52FvMwAAAAAgh0lNTbV2hAdiNpsfeF+KoUc0btw4ffTRRxm2/fjjj3ruuecybOvXr59MJpOcnZ117tw55cqVS5J04cIFFSlSRI6OjlqzZo1SU1Pl7e2t/fv3y9b2/0/o6tq1qwoWLChJatSokRYuXHjPXK1atcrw/vLly2eprAkKCpK9vb3s7e0lSX5+fqpVq5YkqU2bNhozZoyioqIyFEMPKyAgQA4ODnJwcNCKFSvUoUMH+fr6SpIaNGggf39/ff7553d8dlFAQICKFy+u1atXa/bs2Tp37pxcXFzUrl07hYSEyM4u4xC/efOmNm/erDlz5sjNzU2SLMvONm/erF69ekmSWrRoIScnJzk5OWn69Olq2LChGjduLEny9vZW27Zt9dlnn1EMAQAAAICBHD9+XAkJCdaO8VhRDD2iMWPGPNAzhi5fvqwJEyYoMjJSxYsXV8WKFSXdahsdHR21atUqzZ07V4MHD1Z8fLyaNGmikSNH6vnnn5ckubi4WI5lb29/3/Zv48aNj/SMocKFC2f4ulChQhnOn579cfjvuc6cOaO9e/dq1apVlm1ms1nVq1e/6/t9fHwsS9fOnz+vH374QR9//LFsbW01YMCADPtevXpVycnJme5N8eLFFRMTc9dMu3fvtpwjPVPJkiWzdqEAAAAAgBytbNmyGSZhPK3MZrOOHDnyQPtSDD0h/fv3l7+/vxYtWiQ7OzvFxsZq9erVkm49f+jChQuaNm2aJOnYsWMaNGiQ5s2bp2HDhj32LLa2tkpOTrZ8HRsbm2kfGxsbq5yraNGiCggIsMzckaSzZ8/K0dEx0/uuX7+uWrVqacaMGWrQoIEkqUiRImrXrp1OnTqlY8eOZXpPwYIFlStXLkVHR6t06dKW7VFRUZbnLN0pU+vWrfXBBx9Ytl24cIEHWgMAAACAwdja2spkMlk7xmP19Ndcz4i4uDg5OjrKZDLpypUrGj9+vCQpOTlZ169fV8+ePbVp0yalpaWpcOHCsrW1Vb58+bIlS+nSpbV9+3alpKQoKipKa9aseWzHzpUrl+Lj4y2lSenSpfXdd98pMTFRFy9ezPDQ6jtp27atli1bZnkY9JEjRxQ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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Top 10 Brands\n",
    "plt.figure(figsize=(12, 8))\n",
    "df['brand'].value_counts().nlargest(10).plot(kind='barh')\n",
    "plt.title('Top 10 Brands by Number of Products')\n",
    "plt.xlabel('Number of Products')\n",
    "plt.gca().invert_yaxis()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7b5c415f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Top Materials\n",
    "plt.figure(figsize=(12, 8))\n",
    "df['material'].value_counts().nlargest(10).plot(kind='barh')\n",
    "plt.title('Top 10 Most Common Materials')\n",
    "plt.xlabel('Number of Products')\n",
    "plt.gca().invert_yaxis()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "cf8dc9b3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Analysis of Country of Origin\n",
    "plt.figure(figsize=(12, 8))\n",
    "df['country_of_origin'].value_counts().nlargest(10).plot(kind='pie', autopct='%1.1f%%', startangle=90)\n",
    "plt.title('Product Distribution by Country of Origin (Top 10)')\n",
    "plt.ylabel('')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ddd6eb34",
   "metadata": {},
   "source": [
    "## 4. Prepare Analytics Data for Backend\n",
    "\n",
    "We'll save these aggregated insights into a JSON file that our FastAPI backend can easily read and serve to the frontend.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "fea6d498",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analytics data saved to analytics_output.json\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "\n",
    "top_brands = df['brand'].value_counts().nlargest(10).to_dict()\n",
    "top_materials = df['material'].value_counts().nlargest(10).to_dict()\n",
    "top_countries = df['country_of_origin'].value_counts().nlargest(10).to_dict()\n",
    "\n",
    "analytics_data = {\n",
    "    'price_summary': df['price_numeric'].describe().to_dict(),\n",
    "    'top_brands': top_brands,\n",
    "    'top_materials': top_materials,\n",
    "    'top_countries': top_countries\n",
    "}\n",
    "\n",
    "with open('analytics_output.json', 'w') as f:\n",
    "    json.dump(analytics_data, f, indent=4)\n",
    "\n",
    "print(\"Analytics data saved to analytics_output.json\")\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}