diff --git a/Schrick-Noah_Learning-Practice-1.ipynb b/Schrick-Noah_Learning-Practice-1.ipynb
index 04b18e0..270759b 100644
--- a/Schrick-Noah_Learning-Practice-1.ipynb
+++ b/Schrick-Noah_Learning-Practice-1.ipynb
@@ -50,13 +50,46 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 53,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Max Avg. Sales: 494.63 from Store: N17 6QA\n",
+      "Min Avg. Sales: 481.01 from Store: W4 3PH\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "## Problem 3.3: Laptop Sales at a London Computer Chain: Bar Charts and Boxplots.\n",
-    "# bar chart\n",
+    "laptops_df = pd.read_csv('LaptopSalesJanuary2008.csv')\n",
     "\n",
+    "## Part A:\n",
+    "# bar chart\n",
+    "laptops_retail_df = laptops_df.groupby('Store Postcode').mean(numeric_only=True)['Retail Price']\n",
+    "laptop_avg_sales = laptops_retail_df.plot(kind='bar')\n",
+    "laptop_avg_sales.set_ylabel('Avg. Sales')\n",
+    "laptop_avg_sales.set_title('Avg Sales of London Stores')\n",
+    "\n",
+    "# highest avg\n",
+    "print(\"Max Avg. Sales:\", round(laptops_retail_df.max(), 2), \"from Store:\", laptops_retail_df.idxmax())\n",
+    "\n",
+    "# lowest avg\n",
+    "print(\"Min Avg. Sales:\", round(laptops_retail_df.min(), 2), \"from Store:\", laptops_retail_df.idxmin())\n",
+    "\n",
+    "## Part B:\n",
     "# box plots "
    ]
   }