diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..ab230d42 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -9,6 +9,45 @@
     "# Lab | Data Structures "
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products= {\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"}\n",
+    "inventory= {}\n",
+    "for product in products:\n",
+    "    quantity= int(input(f\"Enter quantity for {product}: \"))\n",
+    "    inventory[product] = quantity\n",
+    "    customer_orders = set ()\n",
+    "    for i in range (3):\n",
+    "        product_name = input(\"Enter a product to order: \")\n",
+    "        customer_orders.add(product_name)\n",
+    "        print(\"\\nCustomer Orders:\")\n",
+    "        for item in customer_orders:\n",
+    "            print (item)\n",
+    "\n",
+    "total_products_ordered = len(customer_orders)\n",
+    "    \n",
+    "percentage_ordered = (total_products_ordered / len(products)) * 100\n",
+    "\n",
+    "order_status = (total_products_ordered, percentage_ordered)\n",
+    "print(\"\\nOrder 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 inventory:\n",
+    "    inventory [product -= 1]\n",
+    "print(\"nUpdated Inventory:\")\n",
+    "for product, quantity in inventory.items():\n",
+    "    print(f\"{product}: {quantity}\")\n",
+    "\n",
+    "    print(\"\\nUpdated Inventory:\")\n",
+    "    for product, quantity in inventory.items():\n",
+    "        print(f\"{product}: {quantity}\")\n"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -54,7 +93,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +107,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.14.2"
   }
  },
  "nbformat": 4,