demo.py GITHUB_RELEASE_GUIDE.md index.html RELEASE_NOTES.md .gitignore README.md

index.html

<!--
================================================================================
Weather Forecasting Dataset - Demo Page

Project: Weather Forecasting Dataset
Category: Time Series Data
Version: 1.0.0
Created: 2024

Author: Molla Samser
Designer & Tester: Rima Khatun
Website: https://rskworld.in
Email: help@rskworld.in | support@rskworld.in
Phone: +91 93305 39277

About RSK World:
RSK World is your one-stop destination for free programming resources,
source code, and development tools.

Description:
This dataset includes historical weather data with temperature, humidity,
pressure, precipitation, wind speed, and other meteorological variables.
Perfect for weather forecasting, climate analysis, and time series prediction.

Features:
- Temperature and humidity data
- Pressure and precipitation
- Wind speed and direction
- Multiple locations
- Time series format

License: Educational Purpose Only
Content used for educational purposes only.

© 2024 RSK World - https://rskworld.in
================================================================================
-->
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <meta name="description" content="Weather Forecasting Dataset - Comprehensive weather data for forecasting models by RSK World">
    <meta name="keywords" content="weather dataset, forecasting, time series, temperature, humidity, precipitation, RSK World">
    <meta name="author" content="Molla Samser - RSK World">
    <title>Weather Forecasting Dataset | RSK World</title>
    
    <!-- Fonts -->
    <link rel="preconnect" href="https://fonts.googleapis.com">
    <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
    <link href="https://fonts.googleapis.com/css2?family=Outfit:wght@300;400;500;600;700;800&family=JetBrains+Mono:wght@400;500;600&display=swap" rel="stylesheet">
    
    <!-- Font Awesome -->
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
    
    <!-- Chart.js -->
    <script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
    
    <style>
        /* 
         * Weather Forecasting Dataset Styles
         * Author: Molla Samser | Designer: Rima Khatun
         * Website: https://rskworld.in
         * © 2024 RSK World
         */
        
        :root {
            --primary: #0ea5e9;
            --primary-dark: #0284c7;
            --primary-light: #38bdf8;
            --secondary: #14b8a6;
            --accent: #f59e0b;
            --success: #10b981;
            --warning: #f59e0b;
            --danger: #ef4444;
            --bg-dark: #0f172a;
            --bg-darker: #020617;
            --bg-card: #1e293b;
            --bg-card-hover: #334155;
            --text-primary: #f1f5f9;
            --text-secondary: #94a3b8;
            --text-muted: #64748b;
            --border-color: #334155;
            --gradient-sky: linear-gradient(135deg, #0ea5e9 0%, #06b6d4 50%, #14b8a6 100%);
            --gradient-sunset: linear-gradient(135deg, #f59e0b 0%, #ef4444 50%, #ec4899 100%);
            --gradient-night: linear-gradient(135deg, #1e293b 0%, #0f172a 50%, #020617 100%);
            --shadow-glow: 0 0 40px rgba(14, 165, 233, 0.3);
            --shadow-card: 0 10px 40px rgba(0, 0, 0, 0.3);
        }

        * {
            margin: 0;
            padding: 0;
            box-sizing: border-box;
        }

        html {
            scroll-behavior: smooth;
        }

        body {
            font-family: 'Outfit', sans-serif;
            background: var(--bg-darker);
            color: var(--text-primary);
            line-height: 1.6;
            min-height: 100vh;
            overflow-x: hidden;
        }

        /* Animated Background */
        .bg-animation {
            position: fixed;
            top: 0;
            left: 0;
            width: 100%;
            height: 100%;
            z-index: -1;
            overflow: hidden;
        }

        .bg-animation::before {
            content: '';
            position: absolute;
            top: -50%;
            left: -50%;
            width: 200%;
            height: 200%;
            background: 
                radial-gradient(circle at 20% 80%, rgba(14, 165, 233, 0.1) 0%, transparent 50%),
                radial-gradient(circle at 80% 20%, rgba(20, 184, 166, 0.1) 0%, transparent 50%),
                radial-gradient(circle at 40% 40%, rgba(245, 158, 11, 0.05) 0%, transparent 40%);
            animation: bgFloat 20s ease-in-out infinite;
        }

        @keyframes bgFloat {
            0%, 100% { transform: translate(0, 0) rotate(0deg); }
            25% { transform: translate(-2%, 2%) rotate(1deg); }
            50% { transform: translate(2%, -1%) rotate(-1deg); }
            75% { transform: translate(-1%, -2%) rotate(0.5deg); }
        }

        /* Floating Weather Icons */
        .weather-icons {
            position: fixed;
            top: 0;
            left: 0;
            width: 100%;
            height: 100%;
            z-index: -1;
            pointer-events: none;
        }

        .weather-icon {
            position: absolute;
            font-size: 2rem;
            opacity: 0.08;
            animation: floatIcon 15s ease-in-out infinite;
        }

        .weather-icon:nth-child(1) { top: 10%; left: 5%; animation-delay: 0s; color: var(--primary); }
        .weather-icon:nth-child(2) { top: 20%; right: 10%; animation-delay: 2s; color: var(--accent); }
        .weather-icon:nth-child(3) { top: 60%; left: 8%; animation-delay: 4s; color: var(--secondary); }
        .weather-icon:nth-child(4) { top: 80%; right: 15%; animation-delay: 6s; color: var(--primary-light); }
        .weather-icon:nth-child(5) { top: 40%; left: 85%; animation-delay: 8s; color: var(--warning); }
        .weather-icon:nth-child(6) { top: 70%; left: 50%; animation-delay: 10s; color: var(--success); }

        @keyframes floatIcon {
            0%, 100% { transform: translateY(0) rotate(0deg); }
            50% { transform: translateY(-20px) rotate(10deg); }
        }

        /* Header */
        header {
            background: rgba(15, 23, 42, 0.95);
            backdrop-filter: blur(20px);
            border-bottom: 1px solid var(--border-color);
            padding: 1rem 0;
            position: sticky;
            top: 0;
            z-index: 100;
        }

        .container {
            max-width: 1400px;
            margin: 0 auto;
            padding: 0 2rem;
        }

        nav {
            display: flex;
            justify-content: space-between;
            align-items: center;
        }

        .logo {
            display: flex;
            align-items: center;
            gap: 0.75rem;
            text-decoration: none;
        }

        .logo-icon {
            width: 45px;
            height: 45px;
            background: var(--gradient-sky);
            border-radius: 12px;
            display: flex;
            align-items: center;
            justify-content: center;
            font-size: 1.5rem;
            color: white;
            box-shadow: var(--shadow-glow);
        }

        .logo-text {
            font-size: 1.5rem;
            font-weight: 700;
            background: var(--gradient-sky);
            -webkit-background-clip: text;
            -webkit-text-fill-color: transparent;
            background-clip: text;
        }

        .nav-links {
            display: flex;
            gap: 2rem;
            list-style: none;
        }

        .nav-links a {
            color: var(--text-secondary);
            text-decoration: none;
            font-weight: 500;
            transition: color 0.3s ease;
            position: relative;
        }

        .nav-links a::after {
            content: '';
            position: absolute;
            bottom: -5px;
            left: 0;
            width: 0;
            height: 2px;
            background: var(--gradient-sky);
            transition: width 0.3s ease;
        }

        .nav-links a:hover {
            color: var(--primary);
        }

        .nav-links a:hover::after {
            width: 100%;
        }

        /* Hero Section */
        .hero {
            padding: 6rem 0;
            text-align: center;
            position: relative;
        }

        .hero-badge {
            display: inline-flex;
            align-items: center;
            gap: 0.5rem;
            background: rgba(14, 165, 233, 0.1);
            border: 1px solid rgba(14, 165, 233, 0.3);
            padding: 0.5rem 1.25rem;
            border-radius: 50px;
            font-size: 0.9rem;
            color: var(--primary);
            margin-bottom: 2rem;
            animation: fadeInUp 0.6s ease;
        }

        .hero h1 {
            font-size: 4rem;
            font-weight: 800;
            margin-bottom: 1.5rem;
            line-height: 1.1;
            animation: fadeInUp 0.6s ease 0.1s backwards;
        }

        .hero h1 span {
            background: var(--gradient-sky);
            -webkit-background-clip: text;
            -webkit-text-fill-color: transparent;
            background-clip: text;
        }

        .hero-description {
            font-size: 1.25rem;
            color: var(--text-secondary);
            max-width: 700px;
            margin: 0 auto 3rem;
            animation: fadeInUp 0.6s ease 0.2s backwards;
        }

        .hero-buttons {
            display: flex;
            gap: 1rem;
            justify-content: center;
            flex-wrap: wrap;
            animation: fadeInUp 0.6s ease 0.3s backwards;
        }

        .btn {
            display: inline-flex;
            align-items: center;
            gap: 0.5rem;
            padding: 1rem 2rem;
            border-radius: 12px;
            font-weight: 600;
            font-size: 1rem;
            text-decoration: none;
            transition: all 0.3s ease;
            cursor: pointer;
            border: none;
            font-family: inherit;
        }

        .btn-primary {
            background: var(--gradient-sky);
            color: white;
            box-shadow: 0 4px 20px rgba(14, 165, 233, 0.4);
        }

        .btn-primary:hover {
            transform: translateY(-3px);
            box-shadow: 0 8px 30px rgba(14, 165, 233, 0.5);
        }

        .btn-secondary {
            background: var(--bg-card);
            color: var(--text-primary);
            border: 1px solid var(--border-color);
        }

        .btn-secondary:hover {
            background: var(--bg-card-hover);
            border-color: var(--primary);
        }

        @keyframes fadeInUp {
            from {
                opacity: 0;
                transform: translateY(30px);
            }
            to {
                opacity: 1;
                transform: translateY(0);
            }
        }

        /* Stats Section */
        .stats {
            display: grid;
            grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
            gap: 1.5rem;
            padding: 3rem 0;
        }

        .stat-card {
            background: var(--bg-card);
            border: 1px solid var(--border-color);
            border-radius: 16px;
            padding: 2rem;
            text-align: center;
            transition: all 0.3s ease;
        }

        .stat-card:hover {
            transform: translateY(-5px);
            border-color: var(--primary);
            box-shadow: var(--shadow-glow);
        }

        .stat-icon {
            width: 60px;
            height: 60px;
            border-radius: 12px;
            display: flex;
            align-items: center;
            justify-content: center;
            font-size: 1.5rem;
            margin: 0 auto 1rem;
        }

        .stat-icon.temp { background: linear-gradient(135deg, #ef4444, #f59e0b); }
        .stat-icon.humidity { background: linear-gradient(135deg, #06b6d4, #0ea5e9); }
        .stat-icon.pressure { background: linear-gradient(135deg, #8b5cf6, #a855f7); }
        .stat-icon.wind { background: linear-gradient(135deg, #10b981, #14b8a6); }

        .stat-value {
            font-size: 2.5rem;
            font-weight: 800;
            margin-bottom: 0.5rem;
            background: var(--gradient-sky);
            -webkit-background-clip: text;
            -webkit-text-fill-color: transparent;
            background-clip: text;
        }

        .stat-label {
            color: var(--text-secondary);
            font-size: 0.95rem;
        }

        /* Features Section */
        .features {
            padding: 5rem 0;
        }

        .section-header {
            text-align: center;
            margin-bottom: 4rem;
        }

        .section-header h2 {
            font-size: 2.5rem;
            font-weight: 700;
            margin-bottom: 1rem;
        }

        .section-header p {
            color: var(--text-secondary);
            font-size: 1.1rem;
            max-width: 600px;
            margin: 0 auto;
        }

        .features-grid {
            display: grid;
            grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
            gap: 2rem;
        }

        .feature-card {
            background: var(--bg-card);
            border: 1px solid var(--border-color);
            border-radius: 20px;
            padding: 2.5rem;
            transition: all 0.3s ease;
            position: relative;
            overflow: hidden;
        }

        .feature-card::before {
            content: '';
            position: absolute;
            top: 0;
            left: 0;
            width: 100%;
            height: 4px;
            background: var(--gradient-sky);
            transform: scaleX(0);
            transition: transform 0.3s ease;
        }

        .feature-card:hover {
            transform: translateY(-8px);
            box-shadow: var(--shadow-card);
        }

        .feature-card:hover::before {
            transform: scaleX(1);
        }

        .feature-icon {
            width: 70px;
            height: 70px;
            background: rgba(14, 165, 233, 0.1);
            border-radius: 16px;
            display: flex;
            align-items: center;
            justify-content: center;
            font-size: 2rem;
            color: var(--primary);
            margin-bottom: 1.5rem;
        }

        .feature-card h3 {
            font-size: 1.3rem;
            font-weight: 600;
            margin-bottom: 1rem;
        }

        .feature-card p {
            color: var(--text-secondary);
            font-size: 0.95rem;
        }

        /* Data Preview Section */
        .data-preview {
            padding: 5rem 0;
            background: var(--bg-dark);
        }

        .preview-tabs {
            display: flex;
            gap: 0.5rem;
            margin-bottom: 2rem;
            flex-wrap: wrap;
        }

        .tab-btn {
            padding: 0.75rem 1.5rem;
            background: var(--bg-card);
            border: 1px solid var(--border-color);
            border-radius: 10px;
            color: var(--text-secondary);
            font-weight: 500;
            cursor: pointer;
            transition: all 0.3s ease;
            font-family: inherit;
            font-size: 0.95rem;
        }

        .tab-btn.active,
        .tab-btn:hover {
            background: var(--primary);
            border-color: var(--primary);
            color: white;
        }

        .data-table-wrapper {
            background: var(--bg-card);
            border: 1px solid var(--border-color);
            border-radius: 16px;
            overflow: hidden;
        }

        .data-table {
            width: 100%;
            border-collapse: collapse;
            font-family: 'JetBrains Mono', monospace;
            font-size: 0.85rem;
        }

        .data-table th,
        .data-table td {
            padding: 1rem 1.25rem;
            text-align: left;
            border-bottom: 1px solid var(--border-color);
        }

        .data-table th {
            background: rgba(14, 165, 233, 0.1);
            color: var(--primary);
            font-weight: 600;
            text-transform: uppercase;
            font-size: 0.75rem;
            letter-spacing: 0.05em;
        }

        .data-table tr:hover td {
            background: rgba(14, 165, 233, 0.05);
        }

        .data-table td {
            color: var(--text-secondary);
        }

        .table-scroll {
            overflow-x: auto;
        }

        .condition-badge {
            display: inline-block;
            padding: 0.25rem 0.75rem;
            border-radius: 20px;
            font-size: 0.75rem;
            font-weight: 500;
        }

        .condition-clear { background: rgba(16, 185, 129, 0.2); color: #10b981; }
        .condition-cloudy { background: rgba(148, 163, 184, 0.2); color: #94a3b8; }
        .condition-rain { background: rgba(14, 165, 233, 0.2); color: #0ea5e9; }
        .condition-fog { background: rgba(148, 163, 184, 0.3); color: #cbd5e1; }
        .condition-sunny { background: rgba(245, 158, 11, 0.2); color: #f59e0b; }

        /* Charts Section */
        .charts {
            padding: 5rem 0;
        }

        .charts-grid {
            display: grid;
            grid-template-columns: repeat(auto-fit, minmax(500px, 1fr));
            gap: 2rem;
        }

        .chart-card {
            background: var(--bg-card);
            border: 1px solid var(--border-color);
            border-radius: 20px;
            padding: 2rem;
        }

        .chart-header {
            display: flex;
            justify-content: space-between;
            align-items: center;
            margin-bottom: 1.5rem;
        }

        .chart-header h3 {
            font-size: 1.2rem;
            font-weight: 600;
        }

        .chart-container {
            position: relative;
            height: 300px;
        }

        /* Locations Section */
        .locations {
            padding: 5rem 0;
            background: var(--bg-dark);
        }

        .locations-grid {
            display: grid;
            grid-template-columns: repeat(auto-fit, minmax(280px, 1fr));
            gap: 1.5rem;
        }

        .location-card {
            background: var(--bg-card);
            border: 1px solid var(--border-color);
            border-radius: 16px;
            padding: 1.5rem;
            display: flex;
            align-items: center;
            gap: 1.5rem;
            transition: all 0.3s ease;
        }

        .location-card:hover {
            transform: translateX(8px);
            border-color: var(--primary);
        }

        .location-icon {
            width: 60px;
            height: 60px;
            background: var(--gradient-sky);
            border-radius: 12px;
            display: flex;
            align-items: center;
            justify-content: center;
            font-size: 1.5rem;
            color: white;
            flex-shrink: 0;
        }

        .location-info h4 {
            font-size: 1.1rem;
            font-weight: 600;
            margin-bottom: 0.25rem;
        }

        .location-info p {
            color: var(--text-secondary);
            font-size: 0.9rem;
        }

        .location-coords {
            font-family: 'JetBrains Mono', monospace;
            font-size: 0.8rem;
            color: var(--text-muted);
            margin-top: 0.5rem;
        }

        /* Download Section */
        .download {
            padding: 5rem 0;
            text-align: center;
        }

        .download-card {
            background: var(--bg-card);
            border: 1px solid var(--border-color);
            border-radius: 24px;
            padding: 4rem;
            max-width: 700px;
            margin: 0 auto;
            position: relative;
            overflow: hidden;
        }

        .download-card::before {
            content: '';
            position: absolute;
            top: 0;
            left: 0;
            width: 100%;
            height: 100%;
            background: var(--gradient-sky);
            opacity: 0.05;
        }

        .download-icon {
            width: 100px;
            height: 100px;
            background: var(--gradient-sky);
            border-radius: 24px;
            display: flex;
            align-items: center;
            justify-content: center;
            font-size: 3rem;
            color: white;
            margin: 0 auto 2rem;
            box-shadow: 0 10px 40px rgba(14, 165, 233, 0.4);
        }

        .download-card h3 {
            font-size: 2rem;
            font-weight: 700;
            margin-bottom: 1rem;
        }

        .download-card p {
            color: var(--text-secondary);
            margin-bottom: 2rem;
            font-size: 1.1rem;
        }

        .file-info {
            display: flex;
            justify-content: center;
            gap: 2rem;
            margin-bottom: 2rem;
            flex-wrap: wrap;
        }

        .file-stat {
            text-align: center;
        }

        .file-stat-value {
            font-size: 1.5rem;
            font-weight: 700;
            color: var(--primary);
        }

        .file-stat-label {
            color: var(--text-muted);
            font-size: 0.9rem;
        }

        /* Footer */
        footer {
            background: var(--bg-dark);
            border-top: 1px solid var(--border-color);
            padding: 4rem 0 2rem;
        }

        .footer-content {
            display: grid;
            grid-template-columns: 2fr 1fr 1fr 1fr;
            gap: 3rem;
            margin-bottom: 3rem;
        }

        .footer-brand {
            max-width: 350px;
        }

        .footer-brand .logo {
            margin-bottom: 1rem;
        }

        .footer-brand p {
            color: var(--text-secondary);
            font-size: 0.95rem;
            margin-bottom: 1.5rem;
        }

        .social-links {
            display: flex;
            gap: 0.75rem;
        }

        .social-link {
            width: 40px;
            height: 40px;
            background: var(--bg-card);
            border: 1px solid var(--border-color);
            border-radius: 10px;
            display: flex;
            align-items: center;
            justify-content: center;
            color: var(--text-secondary);
            text-decoration: none;
            transition: all 0.3s ease;
        }

        .social-link:hover {
            background: var(--primary);
            border-color: var(--primary);
            color: white;
        }

        .footer-links h4 {
            font-size: 1rem;
            font-weight: 600;
            margin-bottom: 1.5rem;
            color: var(--text-primary);
        }

        .footer-links ul {
            list-style: none;
        }

        .footer-links li {
            margin-bottom: 0.75rem;
        }

        .footer-links a {
            color: var(--text-secondary);
            text-decoration: none;
            transition: color 0.3s ease;
        }

        .footer-links a:hover {
            color: var(--primary);
        }

        .footer-bottom {
            text-align: center;
            padding-top: 2rem;
            border-top: 1px solid var(--border-color);
        }

        .footer-bottom p {
            color: var(--text-muted);
            font-size: 0.9rem;
        }

        .footer-bottom a {
            color: var(--primary);
            text-decoration: none;
        }

        /* Responsive */
        @media (max-width: 1024px) {
            .footer-content {
                grid-template-columns: 1fr 1fr;
            }
        }

        @media (max-width: 768px) {
            .hero h1 {
                font-size: 2.5rem;
            }

            .nav-links {
                display: none;
            }

            .charts-grid {
                grid-template-columns: 1fr;
            }

            .footer-content {
                grid-template-columns: 1fr;
                text-align: center;
            }

            .footer-brand {
                max-width: none;
            }

            .social-links {
                justify-content: center;
            }
        }

        /* Scrollbar */
        ::-webkit-scrollbar {
            width: 10px;
            height: 10px;
        }

        ::-webkit-scrollbar-track {
            background: var(--bg-darker);
        }

        ::-webkit-scrollbar-thumb {
            background: var(--border-color);
            border-radius: 5px;
        }

        ::-webkit-scrollbar-thumb:hover {
            background: var(--primary);
        }
    </style>
</head>
<body>
    <!-- Background Animation -->
    <div class="bg-animation"></div>
    
    <!-- Floating Weather Icons -->
    <div class="weather-icons">
        <i class="fas fa-sun weather-icon"></i>
        <i class="fas fa-cloud weather-icon"></i>
        <i class="fas fa-cloud-rain weather-icon"></i>
        <i class="fas fa-wind weather-icon"></i>
        <i class="fas fa-snowflake weather-icon"></i>
        <i class="fas fa-temperature-high weather-icon"></i>
    </div>

    <!-- Header -->
    <header>
        <div class="container">
            <nav>
                <a href="https://rskworld.in" class="logo">
                    <div class="logo-icon">
                        <i class="fas fa-cloud-sun"></i>
                    </div>
                    <span class="logo-text">RSK World</span>
                </a>
                <ul class="nav-links">
                    <li><a href="#features">Features</a></li>
                    <li><a href="#data-preview">Data Preview</a></li>
                    <li><a href="#charts">Charts</a></li>
                    <li><a href="#locations">Locations</a></li>
                    <li><a href="#download">Download</a></li>
                </ul>
            </nav>
        </div>
    </header>

    <!-- Hero Section -->
    <section class="hero">
        <div class="container">
            <div class="hero-badge">
                <i class="fas fa-clock"></i>
                <span>Time Series Data</span>
            </div>
            <h1>Weather <span>Forecasting</span><br>Dataset</h1>
            <p class="hero-description">
                Comprehensive weather dataset with temperature, humidity, pressure, and precipitation data 
                for weather forecasting models and climate analysis.
            </p>
            <div class="hero-buttons">
                <a href="#download" class="btn btn-primary">
                    <i class="fas fa-download"></i>
                    Download Dataset
                </a>
                <a href="#data-preview" class="btn btn-secondary">
                    <i class="fas fa-eye"></i>
                    Preview Data
                </a>
            </div>
        </div>
    </section>

    <!-- Stats Section -->
    <section class="container">
        <div class="stats">
            <div class="stat-card">
                <div class="stat-icon temp">
                    <i class="fas fa-temperature-high"></i>
                </div>
                <div class="stat-value">8-34°C</div>
                <div class="stat-label">Temperature Range</div>
            </div>
            <div class="stat-card">
                <div class="stat-icon humidity">
                    <i class="fas fa-tint"></i>
                </div>
                <div class="stat-value">42-94%</div>
                <div class="stat-label">Humidity Range</div>
            </div>
            <div class="stat-card">
                <div class="stat-icon pressure">
                    <i class="fas fa-compress-arrows-alt"></i>
                </div>
                <div class="stat-value">1011-1022</div>
                <div class="stat-label">Pressure (hPa)</div>
            </div>
            <div class="stat-card">
                <div class="stat-icon wind">
                    <i class="fas fa-wind"></i>
                </div>
                <div class="stat-value">4-30 km/h</div>
                <div class="stat-label">Wind Speed Range</div>
            </div>
        </div>
    </section>

    <!-- Features Section -->
    <section class="features" id="features">
        <div class="container">
            <div class="section-header">
                <h2>Dataset Features</h2>
                <p>Comprehensive meteorological data for weather forecasting and climate analysis</p>
            </div>
            <div class="features-grid">
                <div class="feature-card">
                    <div class="feature-icon">
                        <i class="fas fa-thermometer-half"></i>
                    </div>
                    <h3>Temperature Data</h3>
                    <p>Accurate temperature readings in Celsius and Fahrenheit, including feels-like temperature and dew point measurements.</p>
                </div>
                <div class="feature-card">
                    <div class="feature-icon">
                        <i class="fas fa-tint"></i>
                    </div>
                    <h3>Humidity & Precipitation</h3>
                    <p>Relative humidity percentages and precipitation data with probability forecasts for weather prediction models.</p>
                </div>
                <div class="feature-card">
                    <div class="feature-icon">
                        <i class="fas fa-wind"></i>
                    </div>
                    <h3>Wind Patterns</h3>
                    <p>Wind speed, direction, and gust data for comprehensive atmospheric analysis and forecasting.</p>
                </div>
                <div class="feature-card">
                    <div class="feature-icon">
                        <i class="fas fa-compress-arrows-alt"></i>
                    </div>
                    <h3>Atmospheric Pressure</h3>
                    <p>Barometric pressure readings in hectopascals for weather system tracking and prediction.</p>
                </div>
                <div class="feature-card">
                    <div class="feature-icon">
                        <i class="fas fa-map-marker-alt"></i>
                    </div>
                    <h3>Multiple Locations</h3>
                    <p>Weather data from 5 major Indian cities with geographic coordinates for spatial analysis.</p>
                </div>
                <div class="feature-card">
                    <div class="feature-icon">
                        <i class="fas fa-clock"></i>
                    </div>
                    <h3>Time Series Format</h3>
                    <p>Hourly and 3-hourly observations perfect for time series analysis and machine learning models.</p>
                </div>
            </div>
        </div>
    </section>

    <!-- Data Preview Section -->
    <section class="data-preview" id="data-preview">
        <div class="container">
            <div class="section-header">
                <h2>Data Preview</h2>
                <p>Sample data from the weather forecasting dataset</p>
            </div>
            <div class="preview-tabs">
                <button class="tab-btn active" onclick="showTab('csv')">CSV Format</button>
                <button class="tab-btn" onclick="showTab('json')">JSON Format</button>
            </div>
            <div class="data-table-wrapper">
                <div class="table-scroll" id="csv-tab">
                    <table class="data-table">
                        <thead>
                            <tr>
                                <th>Date</th>
                                <th>Time</th>
                                <th>Location</th>
                                <th>Temp (°C)</th>
                                <th>Humidity</th>
                                <th>Pressure</th>
                                <th>Wind</th>
                                <th>Condition</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td>2024-01-01</td>
                                <td>00:00</td>
                                <td>New Delhi</td>
                                <td>12.5</td>
                                <td>78%</td>
                                <td>1015 hPa</td>
                                <td>8.5 km/h NE</td>
                                <td><span class="condition-badge condition-clear">Clear</span></td>
                            </tr>
                            <tr>
                                <td>2024-01-01</td>
                                <td>06:00</td>
                                <td>New Delhi</td>
                                <td>10.8</td>
                                <td>85%</td>
                                <td>1017 hPa</td>
                                <td>6.8 km/h NNE</td>
                                <td><span class="condition-badge condition-fog">Fog</span></td>
                            </tr>
                            <tr>
                                <td>2024-01-01</td>
                                <td>12:00</td>
                                <td>Mumbai</td>
                                <td>29.8</td>
                                <td>55%</td>
                                <td>1013 hPa</td>
                                <td>16.8 km/h S</td>
                                <td><span class="condition-badge condition-sunny">Sunny</span></td>
                            </tr>
                            <tr>
                                <td>2024-01-01</td>
                                <td>12:00</td>
                                <td>Bangalore</td>
                                <td>27.8</td>
                                <td>48%</td>
                                <td>1016 hPa</td>
                                <td>13.2 km/h ESE</td>
                                <td><span class="condition-badge condition-sunny">Sunny</span></td>
                            </tr>
                            <tr>
                                <td>2024-01-02</td>
                                <td>09:00</td>
                                <td>New Delhi</td>
                                <td>12.8</td>
                                <td>78%</td>
                                <td>1018 hPa</td>
                                <td>8.2 km/h WNW</td>
                                <td><span class="condition-badge condition-rain">Rain</span></td>
                            </tr>
                            <tr>
                                <td>2024-01-01</td>
                                <td>18:00</td>
                                <td>Chennai</td>
                                <td>29.5</td>
                                <td>58%</td>
                                <td>1012 hPa</td>
                                <td>14.5 km/h S</td>
                                <td><span class="condition-badge condition-clear">Clear</span></td>
                            </tr>
                        </tbody>
                    </table>
                </div>
                <div class="table-scroll" id="json-tab" style="display: none;">
                    <pre style="padding: 2rem; color: var(--text-secondary); font-family: 'JetBrains Mono', monospace; font-size: 0.85rem; line-height: 1.6;">{
    "date": "2024-01-01",
    "time": "12:00",
    "location": "Mumbai",
    "coordinates": {
        "latitude": 19.0760,
        "longitude": 72.8777
    },
    "temperature": {
        "celsius": 29.8,
        "fahrenheit": 85.6,
        "feels_like_celsius": 30.5
    },
    "humidity_percent": 55,
    "pressure_hpa": 1013,
    "wind": {
        "speed_kmh": 16.8,
        "direction": "S",
        "gust_kmh": 24.2
    },
    "precipitation": {
        "mm": 0.0,
        "probability": 3
    },
    "condition": {
        "main": "Sunny",
        "description": "Hot afternoon"
    }
}</pre>
                </div>
            </div>
        </div>
    </section>

    <!-- Charts Section -->
    <section class="charts" id="charts">
        <div class="container">
            <div class="section-header">
                <h2>Data Visualization</h2>
                <p>Visual representation of weather patterns across locations</p>
            </div>
            <div class="charts-grid">
                <div class="chart-card">
                    <div class="chart-header">
                        <h3><i class="fas fa-thermometer-half"></i> Temperature Trends</h3>
                    </div>
                    <div class="chart-container">
                        <canvas id="tempChart"></canvas>
                    </div>
                </div>
                <div class="chart-card">
                    <div class="chart-header">
                        <h3><i class="fas fa-tint"></i> Humidity by Location</h3>
                    </div>
                    <div class="chart-container">
                        <canvas id="humidityChart"></canvas>
                    </div>
                </div>
            </div>
        </div>
    </section>

    <!-- Locations Section -->
    <section class="locations" id="locations">
        <div class="container">
            <div class="section-header">
                <h2>Weather Stations</h2>
                <p>Data collected from 5 major cities across India</p>
            </div>
            <div class="locations-grid">
                <div class="location-card">
                    <div class="location-icon">
                        <i class="fas fa-landmark"></i>
                    </div>
                    <div class="location-info">
                        <h4>New Delhi</h4>
                        <p>Capital Territory, India</p>
                        <div class="location-coords">28.6139°N, 77.2090°E</div>
                    </div>
                </div>
                <div class="location-card">
                    <div class="location-icon">
                        <i class="fas fa-city"></i>
                    </div>
                    <div class="location-info">
                        <h4>Mumbai</h4>
                        <p>Maharashtra, India</p>
                        <div class="location-coords">19.0760°N, 72.8777°E</div>
                    </div>
                </div>
                <div class="location-card">
                    <div class="location-icon">
                        <i class="fas fa-laptop-code"></i>
                    </div>
                    <div class="location-info">
                        <h4>Bangalore</h4>
                        <p>Karnataka, India</p>
                        <div class="location-coords">12.9716°N, 77.5946°E</div>
                    </div>
                </div>
                <div class="location-card">
                    <div class="location-icon">
                        <i class="fas fa-university"></i>
                    </div>
                    <div class="location-info">
                        <h4>Kolkata</h4>
                        <p>West Bengal, India</p>
                        <div class="location-coords">22.5726°N, 88.3639°E</div>
                    </div>
                </div>
                <div class="location-card">
                    <div class="location-icon">
                        <i class="fas fa-water"></i>
                    </div>
                    <div class="location-info">
                        <h4>Chennai</h4>
                        <p>Tamil Nadu, India</p>
                        <div class="location-coords">13.0827°N, 80.2707°E</div>
                    </div>
                </div>
            </div>
        </div>
    </section>

    <!-- Download Section -->
    <section class="download" id="download">
        <div class="container">
            <div class="download-card">
                <div class="download-icon">
                    <i class="fas fa-cloud-download-alt"></i>
                </div>
                <h3>Download Complete Dataset</h3>
                <p>Get the full weather forecasting dataset with all files in CSV and JSON formats</p>
                <div class="file-info">
                    <div class="file-stat">
                        <div class="file-stat-value">3</div>
                        <div class="file-stat-label">CSV Files</div>
                    </div>
                    <div class="file-stat">
                        <div class="file-stat-value">2</div>
                        <div class="file-stat-label">JSON Files</div>
                    </div>
                    <div class="file-stat">
                        <div class="file-stat-value">120+</div>
                        <div class="file-stat-label">Records</div>
                    </div>
                    <div class="file-stat">
                        <div class="file-stat-value">21</div>
                        <div class="file-stat-label">Parameters</div>
                    </div>
                </div>
                <a href="weather-forecasting.zip" class="btn btn-primary">
                    <i class="fas fa-download"></i>
                    Download ZIP (~50KB)
                </a>
            </div>
        </div>
    </section>

    <!-- Footer -->
    <footer>
        <div class="container">
            <div class="footer-content">
                <div class="footer-brand">
                    <a href="https://rskworld.in" class="logo">
                        <div class="logo-icon">
                            <i class="fas fa-cloud-sun"></i>
                        </div>
                        <span class="logo-text">RSK World</span>
                    </a>
                    <p>RSK World is your one-stop destination for free programming resources, source code, and development tools. Founded by Molla Samser.</p>
                    <div class="social-links">
                        <a href="#" class="social-link"><i class="fab fa-facebook-f"></i></a>
                        <a href="#" class="social-link"><i class="fab fa-twitter"></i></a>
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                        <a href="#" class="social-link"><i class="fab fa-github"></i></a>
                    </div>
                </div>
                <div class="footer-links">
                    <h4>Quick Links</h4>
                    <ul>
                        <li><a href="https://rskworld.in">Home</a></li>
                        <li><a href="https://rskworld.in/about.php">About</a></li>
                        <li><a href="https://rskworld.in/contact.php">Contact</a></li>
                    </ul>
                </div>
                <div class="footer-links">
                    <h4>Resources</h4>
                    <ul>
                        <li><a href="#">Data Science</a></li>
                        <li><a href="#">Web Development</a></li>
                        <li><a href="#">Mobile App</a></li>
                    </ul>
                </div>
                <div class="footer-links">
                    <h4>Contact</h4>
                    <ul>
                        <li><a href="mailto:help@rskworld.in">help@rskworld.in</a></li>
                        <li><a href="mailto:support@rskworld.in">support@rskworld.in</a></li>
                        <li><a href="tel:+919330539277">+91 93305 39277</a></li>
                    </ul>
                </div>
            </div>
            <div class="footer-bottom">
                <p>© 2024 <a href="https://rskworld.in">RSK World</a>. All rights reserved. | Content used for educational purposes only.</p>
            </div>
        </div>
    </footer>

    <script>
        /*
         * Weather Forecasting Dataset Scripts
         * Author: Molla Samser | Designer: Rima Khatun
         * Website: https://rskworld.in
         * © 2024 RSK World
         */

        // Tab Switching
        function showTab(tabName) {
            document.querySelectorAll('.tab-btn').forEach(btn => btn.classList.remove('active'));
            document.querySelectorAll('[id$="-tab"]').forEach(tab => tab.style.display = 'none');
            
            event.target.classList.add('active');
            document.getElementById(tabName + '-tab').style.display = 'block';
        }

        // Temperature Chart
        const tempCtx = document.getElementById('tempChart').getContext('2d');
        new Chart(tempCtx, {
            type: 'line',
            data: {
                labels: ['00:00', '03:00', '06:00', '09:00', '12:00', '15:00', '18:00', '21:00'],
                datasets: [
                    {
                        label: 'New Delhi',
                        data: [12.5, 11.2, 10.8, 14.5, 18.2, 19.5, 16.8, 14.2],
                        borderColor: '#ef4444',
                        backgroundColor: 'rgba(239, 68, 68, 0.1)',
                        fill: true,
                        tension: 0.4
                    },
                    {
                        label: 'Mumbai',
                        data: [22.5, 21.8, 21.2, 25.5, 29.8, 31.2, 28.5, 25.2],
                        borderColor: '#f59e0b',
                        backgroundColor: 'rgba(245, 158, 11, 0.1)',
                        fill: true,
                        tension: 0.4
                    },
                    {
                        label: 'Bangalore',
                        data: [18.5, 17.2, 16.5, 22.5, 27.8, 28.5, 25.2, 21.5],
                        borderColor: '#10b981',
                        backgroundColor: 'rgba(16, 185, 129, 0.1)',
                        fill: true,
                        tension: 0.4
                    }
                ]
            },
            options: {
                responsive: true,
                maintainAspectRatio: false,
                plugins: {
                    legend: {
                        labels: { color: '#94a3b8' }
                    }
                },
                scales: {
                    x: {
                        grid: { color: 'rgba(51, 65, 85, 0.5)' },
                        ticks: { color: '#94a3b8' }
                    },
                    y: {
                        grid: { color: 'rgba(51, 65, 85, 0.5)' },
                        ticks: { color: '#94a3b8' }
                    }
                }
            }
        });

        // Humidity Chart
        const humidityCtx = document.getElementById('humidityChart').getContext('2d');
        new Chart(humidityCtx, {
            type: 'bar',
            data: {
                labels: ['New Delhi', 'Mumbai', 'Bangalore', 'Kolkata', 'Chennai'],
                datasets: [{
                    label: 'Average Humidity (%)',
                    data: [75, 68, 62, 78, 72],
                    backgroundColor: [
                        'rgba(14, 165, 233, 0.8)',
                        'rgba(20, 184, 166, 0.8)',
                        'rgba(16, 185, 129, 0.8)',
                        'rgba(139, 92, 246, 0.8)',
                        'rgba(245, 158, 11, 0.8)'
                    ],
                    borderColor: [
                        '#0ea5e9',
                        '#14b8a6',
                        '#10b981',
                        '#8b5cf6',
                        '#f59e0b'
                    ],
                    borderWidth: 2,
                    borderRadius: 8
                }]
            },
            options: {
                responsive: true,
                maintainAspectRatio: false,
                plugins: {
                    legend: {
                        labels: { color: '#94a3b8' }
                    }
                },
                scales: {
                    x: {
                        grid: { color: 'rgba(51, 65, 85, 0.5)' },
                        ticks: { color: '#94a3b8' }
                    },
                    y: {
                        grid: { color: 'rgba(51, 65, 85, 0.5)' },
                        ticks: { color: '#94a3b8' },
                        max: 100
                    }
                }
            }
        });

        // Smooth scroll
        document.querySelectorAll('a[href^="#"]').forEach(anchor => {
            anchor.addEventListener('click', function(e) {
                e.preventDefault();
                const target = document.querySelector(this.getAttribute('href'));
                if (target) {
                    target.scrollIntoView({ behavior: 'smooth', block: 'start' });
                }
            });
        });
    </script>
</body>
</html>

1,486 lines•49.2 KB

markup

.gitignore

Raw Download

# ================================================================================
# Weather Forecasting Dataset - Git Ignore
# 
# Project: Weather Forecasting Dataset
# Author: Molla Samser
# Website: https://rskworld.in
# Email: help@rskworld.in
# 
# © 2024 RSK World - https://rskworld.in
# ================================================================================

# Python
__pycache__/
*.py[cod]
*$py.class
*.so
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg

# Virtual environments
venv/
ENV/
env/
.venv/

# Jupyter Notebook
.ipynb_checkpoints/
*.ipynb

# IDE
.idea/
.vscode/
*.swp
*.swo
*~

# OS
.DS_Store
.DS_Store?
._*
.Spotlight-V100
.Trashes
ehthumbs.db
Thumbs.db

# Logs
*.log
logs/

# Temporary files
*.tmp
*.temp
.cache/

# Output files (keep examples, ignore generated)
output/
results/
*.png
!weather-forecasting.png

# Large data files (if any)
*.zip
!weather-forecasting.zip

79 lines•1 KB

text

README.md

Raw Download

README.md

# 🌤️ Weather Forecasting Dataset

[![Version](https://img.shields.io/badge/Version-2.0.0-blue.svg)](https://rskworld.in)
[![Category](https://img.shields.io/badge/Category-Time%20Series%20Data-green.svg)](https://rskworld.in)
[![Difficulty](https://img.shields.io/badge/Difficulty-Intermediate-yellow.svg)](https://rskworld.in)
[![License](https://img.shields.io/badge/License-Educational-orange.svg)](LICENSE)
[![Author](https://img.shields.io/badge/Author-Molla%20Samser-purple.svg)](https://rskworld.in)

A comprehensive weather dataset with temperature, humidity, pressure, and precipitation data for weather forecasting models. Perfect for **machine learning**, **time series analysis**, and **climate research**.

---

## 📊 Dataset Overview

This dataset includes historical weather data with temperature, humidity, pressure, precipitation, wind speed, air quality, solar radiation, and other meteorological variables. Perfect for weather forecasting, climate analysis, and time series prediction models.

### Key Features

- 🌡️ **Temperature & humidity data** - Hourly measurements with feels-like temperatures
- 🌧️ **Pressure & precipitation** - Atmospheric pressure and rainfall data
- 💨 **Wind speed & direction** - Including gust measurements
- 📍 **Multiple locations** - 5 major Indian cities
- ⏱️ **Time series format** - Perfect for ML models
- 🌬️ **Air Quality Index (AQI)** - PM2.5, PM10, Ozone, NO2, SO2, CO
- ☀️ **Solar radiation data** - UV index and solar radiation measurements
- 🌱 **Soil conditions** - Temperature and moisture data
- 🔮 **Forecast comparisons** - Predicted vs actual data for model evaluation
- 🚨 **Weather alerts** - Historical alert and warning data

---

## 🗂️ Project Structure

```
weather-forecasting/
├── 📁 data/
│ ├── weather_data.csv # Main weather data (120+ records)
│ ├── weather_advanced.csv # Advanced data with 35+ parameters
│ ├── weather_alerts.csv # Weather alerts and warnings
│ ├── weather_forecast_comparison.csv # Forecast vs actual comparison
│ ├── seasonal_statistics.csv # Monthly/seasonal statistics
│ ├── locations.csv # Location information
│ ├── weather_hourly_extended.csv # Extended hourly data
│ ├── weather_data.json # JSON format data
│ └── dataset_info.json # Dataset metadata
│
├── 📁 scripts/
│ ├── weather_analysis.py # Data analysis & visualization
│ ├── data_preprocessing.py # ML preprocessing utilities
│ ├── ml_models.py # Machine learning models
│ ├── anomaly_detection.py # Anomaly detection algorithms
│ └── requirements.txt # Python dependencies
│
├── 📁 notebooks/
│ └── weather_analysis.ipynb # Jupyter notebook for analysis
│
├── 📁 api/
│ └── weather_api.py # Weather API simulation (Flask)
│
├── 📄 index.html # Demo page
├── 📄 dashboard.html # Advanced analytics dashboard
├── 📄 preview-generator.html # Preview image generator
├── 📄 README.md # This file
├── 📄 LICENSE # Educational license
├── 📄 CHANGELOG.md # Version history
├── 📄 .gitignore # Git ignore rules
├── 🖼️ weather-forecasting.png # Project preview image
└── 🖼️ weather-forecasting.svg # Project icon
```

---

## 📈 Data Features

### Basic Weather Data
| Feature | Description | Unit |
|---------|-------------|------|
| temperature_celsius | Air temperature | °C |
| humidity_percent | Relative humidity | % |
| pressure_hpa | Atmospheric pressure | hPa |
| wind_speed_kmh | Wind speed | km/h |
| wind_direction | Wind direction | Cardinal |
| precipitation_mm | Precipitation | mm |
| cloud_cover_percent | Cloud coverage | % |
| visibility_km | Visibility | km |
| uv_index | UV index | 0-11 |

### Advanced Parameters (v2.0)
| Feature | Description | Unit |
|---------|-------------|------|
| feels_like_celsius | Feels-like temperature | °C |
| air_quality_index | Air quality index | AQI |
| pm25 | Fine particulate matter | µg/m³ |
| pm10 | Coarse particulate matter | µg/m³ |
| ozone_ppb | Ground-level ozone | ppb |
| solar_radiation_wm2 | Solar radiation | W/m² |
| soil_temperature | Soil temperature | °C |
| soil_moisture | Soil moisture | % |
| heat_index | Heat index | °C |
| wind_chill | Wind chill factor | °C |
| dew_point | Dew point temperature | °C |

---

## 🤖 Machine Learning Models

The dataset includes ready-to-use ML models:

### Available Models
- **Linear Regression** - Baseline predictions
- **Ridge/Lasso Regression** - Regularized models
- **Random Forest** - Ensemble tree-based
- **Gradient Boosting** - Sequential boosting
- **XGBoost** - Optimized gradient boosting
- **Support Vector Regression** - Kernel-based
- **LSTM Neural Network** - Deep learning for time series

### Usage Example

```python
from scripts.ml_models import WeatherPredictionModels

# Initialize
predictor = WeatherPredictionModels(data_path='data/weather_advanced.csv')

# Prepare features
X_train, X_test, y_train, y_test = predictor.prepare_features(
target='temperature_celsius'
)

# Train all models and compare
results = predictor.train_all_models(X_train, X_test, y_train, y_test)
print(results)

# Get feature importance
importance = predictor.get_feature_importance('random_forest')
```

---

## 🔍 Anomaly Detection

Detect unusual weather patterns using multiple algorithms:

```python
from scripts.anomaly_detection import WeatherAnomalyDetector

detector = WeatherAnomalyDetector(df)

# Z-score anomalies
detector.detect_zscore_anomalies('temperature_celsius')

# Isolation Forest
detector.detect_isolation_forest(['temperature_celsius', 'humidity_percent'])

# Generate report
print(detector.generate_report())
```

---

## 🌐 Weather API

A Flask-based API simulation for testing:

```bash
# Start the API server
cd api
python weather_api.py

# Endpoints:
# GET /api/weather/current?location=mumbai
# GET /api/weather/forecast?location=delhi&days=5
# GET /api/alerts?location=kolkata
# GET /api/locations
```

---

## 🚀 Quick Start

### 1. Clone or Download

```bash
# Download from RSK World
https://rskworld.in/data-science/datasets/weather-forecasting/
```

### 2. Install Dependencies

```bash
cd weather-forecasting
pip install -r scripts/requirements.txt
```

### 3. Run Analysis

```python
import pandas as pd

# Load data
df = pd.read_csv('data/weather_data.csv', comment='#')

# Explore
print(df.head())
print(df.describe())

# Analysis
print(df.groupby('location')['temperature_celsius'].mean())
```

### 4. Open Jupyter Notebook

```bash
jupyter notebook notebooks/weather_analysis.ipynb
```

### 5. View Dashboard

Open `dashboard.html` in a browser for interactive analytics.

---

## 📍 Locations

| City | State | Latitude | Longitude | Climate |
|------|-------|----------|-----------|---------|
| New Delhi | Delhi | 28.6139 | 77.2090 | Humid Subtropical |
| Mumbai | Maharashtra | 19.0760 | 72.8777 | Tropical Wet-Dry |
| Bangalore | Karnataka | 12.9716 | 77.5946 | Tropical Savanna |
| Kolkata | West Bengal | 22.5726 | 88.3639 | Tropical Wet-Dry |
| Chennai | Tamil Nadu | 13.0827 | 80.2707 | Tropical Wet-Dry |

---

## 📚 Use Cases

1. **Weather Prediction** - Build ML models to predict temperature, humidity, etc.
2. **Time Series Forecasting** - ARIMA, LSTM, Prophet models
3. **Anomaly Detection** - Identify extreme weather events
4. **Climate Analysis** - Study seasonal patterns and trends
5. **Air Quality Monitoring** - Analyze pollution patterns
6. **Energy Consumption** - Correlate weather with energy usage
7. **Agriculture Planning** - Use soil and weather data for farming decisions
8. **Health Impact Studies** - Study weather effects on health

---

## 🛠️ Technologies

- **Python** - Data analysis and ML
- **Pandas** - Data manipulation
- **NumPy** - Numerical computing
- **Matplotlib/Seaborn** - Visualization
- **Scikit-learn** - Machine learning
- **TensorFlow/Keras** - Deep learning (LSTM)
- **XGBoost** - Gradient boosting
- **Flask** - API development
- **Chart.js** - Interactive charts
- **HTML/CSS/JS** - Dashboard

---

## 👨‍💻 Author

**Molla Samser**
Founder & Developer @ RSK World

- 🌐 Website: [https://rskworld.in](https://rskworld.in)
- 📧 Email: help@rskworld.in | support@rskworld.in
- 📱 Phone: +91 93305 39277

### Designer & Tester
**Rima Khatun**

---

## 📄 License

This project is licensed under the Educational License - see the [LICENSE](LICENSE) file for details.

Free for educational and non-commercial use.

---

## 🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the project
2. Create your feature branch
3. Commit your changes
4. Push to the branch
5. Open a Pull Request

---

## 📝 Changelog

See [CHANGELOG.md](CHANGELOG.md) for version history.

### v2.0.0 (Latest)
- Added advanced weather parameters (AQI, solar, soil data)
- Added ML prediction models
- Added anomaly detection
- Added Weather API simulation
- Added interactive dashboard
- Added Jupyter notebook
- Added seasonal statistics
- Added forecast comparison data

---

## ⭐ Support

If you find this dataset helpful, please give it a star and share with others!

For questions or support, contact us at help@rskworld.in

---

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**© 2024 RSK World - https://rskworld.in**

Made with ❤️ by Molla Samser

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