first commit

notebook/.ipynb_checkpoints/my_vehicle_registration-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

notebook/my_vehicle_registration.ipynb

@@ -0,0 +1,107 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "28a2e7d9-9ee1-4045-a05c-12eba8683dac",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# uv add pandas\n",
+    "# uv add fastparquet"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4b3733cd-3c59-4cb4-a343-4cf75ea36ceb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# If not already installed, do: pip install pandas fastparquet\n",
+    "import pandas as pd\n",
+    "\n",
+    "URL_DATA = 'https://storage.data.gov.my/transportation/cars_2025.parquet'\n",
+    "\n",
+    "df = pd.read_parquet(URL_DATA)\n",
+    "if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])\n",
+    "\n",
+    "print(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "72c39de4-4b98-4dca-8152-3a51f84d86f5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "          date_reg        type  maker      model  colour         fuel  \\\n",
+      "0       2025-01-01     motokar    BYD       Seal   white     electric   \n",
+      "1       2025-01-01  window_van    Cam   Placer-X  yellow  greendiesel   \n",
+      "2       2025-01-01         jip  Chery  Jaecoo J7   green       petrol   \n",
+      "3       2025-01-01         jip  Chery  Jaecoo J7  silver       petrol   \n",
+      "4       2025-01-01         jip  Chery      Tiggo    grey       petrol   \n",
+      "...            ...         ...    ...        ...     ...          ...   \n",
+      "396824  2025-06-30  window_van  Zeekr        009   white     electric   \n",
+      "396825  2025-06-30         jip  Zeekr          X   beige     electric   \n",
+      "396826  2025-06-30         jip  Zeekr          X    grey     electric   \n",
+      "396827  2025-06-30         jip  Zeekr          X    grey     electric   \n",
+      "396828  2025-06-30         jip  Zeekr          X   green     electric   \n",
+      "\n",
+      "                    state  \n",
+      "0             Rakan Niaga  \n",
+      "1                   Johor  \n",
+      "2             Rakan Niaga  \n",
+      "3             Rakan Niaga  \n",
+      "4             Rakan Niaga  \n",
+      "...                   ...  \n",
+      "396824  W.P. Kuala Lumpur  \n",
+      "396825  W.P. Kuala Lumpur  \n",
+      "396826  W.P. Kuala Lumpur  \n",
+      "396827  W.P. Kuala Lumpur  \n",
+      "396828  W.P. Kuala Lumpur  \n",
+      "\n",
+      "[396829 rows x 7 columns]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "URL_DATA = 'https://storage.data.gov.my/transportation/cars_2025.parquet'\n",
+    "\n",
+    "# Assuming 'your_file.parquet' is the path to your Parquet file\n",
+    "df = pd.read_parquet(URL_DATA, engine='pyarrow')\n",
+    "if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])\n",
+    "\n",
+    "# print(df.head())\n",
+    "print(df)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.12.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}