diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..c75c865d 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -1,14 +1,5 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "# Lab | Data Structures "
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -50,11 +41,70 @@
     "\n",
     "Solve the exercise by implementing the steps using the Python concepts of lists, dictionaries, sets, and basic input/output operations. "
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'hat'}\n",
+      "Order Statistics:\n",
+      "Total Products Ordered: 1\n",
+      "Percentage of Products Ordered: 20.0%\n",
+      "{'hat', 'mug'}\n",
+      "Order Statistics:\n",
+      "Total Products Ordered: 2\n",
+      "Percentage of Products Ordered: 40.0%\n",
+      "{'book', 'hat', 'mug'}\n",
+      "Order Statistics:\n",
+      "Total Products Ordered: 3\n",
+      "Percentage of Products Ordered: 60.0%\n",
+      "t-shirt: 38\n",
+      "mug: 59\n",
+      "hat: 24\n",
+      "book: 869\n",
+      "keychain: 20\n"
+     ]
+    }
+   ],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "inventory = {}\n",
+    "for product in products:\n",
+    "    quantity = int(input(f\"Enter the quantity of {product}: \"))\n",
+    "    inventory[product] = quantity\n",
+    "\n",
+    "customer_orders = set()\n",
+    "for i in range(3):\n",
+    "    order = input(f\"Enter the name of product {i+1} to order: \")\n",
+    "    customer_orders.add(order)\n",
+    "    print(customer_orders)\n",
+    "\n",
+    "    total_products_ordered = len(customer_orders)\n",
+    "    percentage_ordered = (total_products_ordered / len(products)) * 100\n",
+    "    order_status = (total_products_ordered, percentage_ordered)\n",
+    "    print(\"Order Statistics:\")  \n",
+    "    print(f\"Total Products Ordered: {order_status[0]}\")\n",
+    "    print(f\"Percentage of Products Ordered: {order_status[1]}%\")\n",
+    "\n",
+    "for product in customer_orders:\n",
+    "    if product in inventory:\n",
+    "        inventory[product] -= 1\n",
+    "\n",
+    "for product, quantity in inventory.items():\n",
+    "    print(f\"{product}: {quantity}\")  \n",
+    "    \n",
+    "    "
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "data-analyst",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +118,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,