{
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      "source": [
        "# 🌤️ Weather Forecasting Dataset - Analysis Notebook\n",
        "\n",
        "---\n",
        "\n",
        "**Project:** Weather Forecasting Dataset  \n",
        "**Category:** Time Series Data  \n",
        "**Version:** 2.0.0  \n",
        "\n",
        "**Author:** Molla Samser  \n",
        "**Designer & Tester:** Rima Khatun  \n",
        "**Website:** [https://rskworld.in](https://rskworld.in)  \n",
        "**Email:** help@rskworld.in | support@rskworld.in  \n",
        "**Phone:** +91 93305 39277  \n",
        "\n",
        "---\n",
        "\n",
        "## About RSK World\n",
        "RSK World is your one-stop destination for free programming resources, source code, and development tools.\n",
        "\n",
        "---\n",
        "\n",
        "© 2024 RSK World - https://rskworld.in\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Weather Forecasting Dataset - Setup\n",
        "# Author: Molla Samser | Website: https://rskworld.in\n",
        "# Email: help@rskworld.in | Phone: +91 93305 39277\n",
        "\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from datetime import datetime\n",
        "import warnings\n",
        "\n",
        "warnings.filterwarnings('ignore')\n",
        "\n",
        "# Set style for beautiful visualizations\n",
        "plt.style.use('seaborn-v0_8-darkgrid')\n",
        "sns.set_palette('husl')\n",
        "pd.set_option('display.max_columns', None)\n",
        "\n",
        "print(\"✅ Libraries loaded successfully!\")\n",
        "print(\"📊 Weather Forecasting Dataset Analysis\")\n",
        "print(\"👨‍💻 Author: Molla Samser | Website: https://rskworld.in\")\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Load and explore the weather data\n",
        "# Author: Molla Samser | Website: https://rskworld.in\n",
        "\n",
        "df = pd.read_csv('../data/weather_data.csv', comment='#')\n",
        "\n",
        "print(f\"📁 Dataset Shape: {df.shape}\")\n",
        "print(f\"📍 Locations: {df['location'].unique().tolist()}\")\n",
        "print(f\"📋 Columns: {len(df.columns)}\")\n",
        "print(\"\\n\" + \"=\"*60)\n",
        "df.head(10)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Statistical Summary\n",
        "# Author: Molla Samser | Website: https://rskworld.in\n",
        "\n",
        "print(\"📊 Statistical Summary of Weather Data\")\n",
        "print(\"=\"*60)\n",
        "df.describe()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Temperature Analysis Visualization\n",
        "# Author: Molla Samser | Website: https://rskworld.in\n",
        "\n",
        "fig, axes = plt.subplots(2, 2, figsize=(14, 10))\n",
        "\n",
        "# 1. Temperature by location\n",
        "df.boxplot(column='temperature_celsius', by='location', ax=axes[0, 0])\n",
        "axes[0, 0].set_title('Temperature Distribution by Location')\n",
        "axes[0, 0].set_xlabel('Location')\n",
        "axes[0, 0].set_ylabel('Temperature (°C)')\n",
        "\n",
        "# 2. Temperature histogram\n",
        "df['temperature_celsius'].hist(bins=25, ax=axes[0, 1], edgecolor='black', alpha=0.7, color='coral')\n",
        "axes[0, 1].set_title('Temperature Distribution')\n",
        "axes[0, 1].set_xlabel('Temperature (°C)')\n",
        "axes[0, 1].set_ylabel('Frequency')\n",
        "\n",
        "# 3. Humidity by location\n",
        "df.boxplot(column='humidity_percent', by='location', ax=axes[1, 0])\n",
        "axes[1, 0].set_title('Humidity Distribution by Location')\n",
        "axes[1, 0].set_xlabel('Location')\n",
        "axes[1, 0].set_ylabel('Humidity (%)')\n",
        "\n",
        "# 4. Wind speed by location\n",
        "df.boxplot(column='wind_speed_kmh', by='location', ax=axes[1, 1])\n",
        "axes[1, 1].set_title('Wind Speed Distribution by Location')\n",
        "axes[1, 1].set_xlabel('Location')\n",
        "axes[1, 1].set_ylabel('Wind Speed (km/h)')\n",
        "\n",
        "plt.suptitle('Weather Analysis Dashboard - rskworld.in', fontsize=14, fontweight='bold', y=1.02)\n",
        "plt.tight_layout()\n",
        "plt.show()\n"
      ]
    }
  ],
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      "name": "python"
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