RSK World - Weather Forecasting Dataset - Project Files Browser | RSK World

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>
                        <a href="#" class="social-link"><i class="fab fa-instagram"></i></a>
                        <a href="#" class="social-link"><i class="fab fa-linkedin-in"></i></a>
                        <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

scripts/weather_analysis.py

Raw Download

"""
================================================================================
Weather Forecasting Dataset - Data Analysis Script

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 script provides data analysis and visualization functions for the
Weather Forecasting Dataset. It includes functions for loading data,
statistical analysis, and creating visualizations.

Features:
- Temperature and humidity data analysis
- Pressure and precipitation correlation
- Wind speed and direction patterns
- Multiple locations comparison
- Time series visualization

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

© 2024 RSK World - https://rskworld.in
================================================================================
"""

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from datetime import datetime
import json
import os

# Set style for visualizations
plt.style.use('seaborn-v0_8-darkgrid')
sns.set_palette("husl")


def load_weather_data(filepath: str) -> pd.DataFrame:
    """
    Load weather data from CSV file.
    
    Author: Molla Samser | Website: https://rskworld.in
    
    Parameters:
    -----------
    filepath : str
        Path to the CSV file
        
    Returns:
    --------
    pd.DataFrame
        Weather data DataFrame
    """
    # Skip comment lines at the beginning
    df = pd.read_csv(filepath, comment='#')
    
    # Convert date and time columns
    if 'date' in df.columns and 'time' in df.columns:
        df['datetime'] = pd.to_datetime(df['date'] + ' ' + df['time'])
    elif 'datetime' in df.columns:
        df['datetime'] = pd.to_datetime(df['datetime'])
    
    return df


def load_weather_json(filepath: str) -> dict:
    """
    Load weather data from JSON file.
    
    Author: Molla Samser | Website: https://rskworld.in
    
    Parameters:
    -----------
    filepath : str
        Path to the JSON file
        
    Returns:
    --------
    dict
        Weather data dictionary
    """
    with open(filepath, 'r', encoding='utf-8') as f:
        data = json.load(f)
    return data


def get_statistics(df: pd.DataFrame, column: str) -> dict:
    """
    Calculate basic statistics for a column.
    
    Author: Molla Samser | Website: https://rskworld.in
    
    Parameters:
    -----------
    df : pd.DataFrame
        Weather data DataFrame
    column : str
        Column name to analyze
        
    Returns:
    --------
    dict
        Dictionary with statistical measures
    """
    stats = {
        'mean': df[column].mean(),
        'median': df[column].median(),
        'std': df[column].std(),
        'min': df[column].min(),
        'max': df[column].max(),
        'range': df[column].max() - df[column].min(),
        'q25': df[column].quantile(0.25),
        'q75': df[column].quantile(0.75),
        'iqr': df[column].quantile(0.75) - df[column].quantile(0.25)
    }
    return stats


def analyze_by_location(df: pd.DataFrame) -> pd.DataFrame:
    """
    Analyze weather data by location.
    
    Author: Molla Samser | Website: https://rskworld.in
    
    Parameters:
    -----------
    df : pd.DataFrame
        Weather data DataFrame
        
    Returns:
    --------
    pd.DataFrame
        Summary statistics by location
    """
    numeric_cols = df.select_dtypes(include=[np.number]).columns
    location_stats = df.groupby('location')[numeric_cols].agg(['mean', 'std', 'min', 'max'])
    return location_stats


def plot_temperature_trends(df: pd.DataFrame, save_path: str = None):
    """
    Plot temperature trends over time for all locations.
    
    Author: Molla Samser | Website: https://rskworld.in
    
    Parameters:
    -----------
    df : pd.DataFrame
        Weather data DataFrame
    save_path : str, optional
        Path to save the figure
    """
    fig, ax = plt.subplots(figsize=(14, 7))
    
    for location in df['location'].unique():
        location_data = df[df['location'] == location]
        ax.plot(location_data['datetime'], location_data['temperature_celsius'], 
                label=location, marker='o', markersize=4, linewidth=2)
    
    ax.set_xlabel('Date & Time', fontsize=12)
    ax.set_ylabel('Temperature (°C)', fontsize=12)
    ax.set_title('Temperature Trends by Location\nWeather Forecasting Dataset - rskworld.in', 
                 fontsize=14, fontweight='bold')
    ax.legend(loc='upper right')
    ax.grid(True, alpha=0.3)
    
    plt.xticks(rotation=45)
    plt.tight_layout()
    
    if save_path:
        plt.savefig(save_path, dpi=300, bbox_inches='tight')
        print(f"Figure saved to {save_path}")
    
    plt.show()


def plot_humidity_distribution(df: pd.DataFrame, save_path: str = None):
    """
    Plot humidity distribution by location.
    
    Author: Molla Samser | Website: https://rskworld.in
    
    Parameters:
    -----------
    df : pd.DataFrame
        Weather data DataFrame
    save_path : str, optional
        Path to save the figure
    """
    fig, ax = plt.subplots(figsize=(12, 6))
    
    locations = df['location'].unique()
    humidity_data = [df[df['location'] == loc]['humidity_percent'].dropna() for loc in locations]
    
    bp = ax.boxplot(humidity_data, labels=locations, patch_artist=True)
    
    colors = plt.cm.viridis(np.linspace(0.2, 0.8, len(locations)))
    for patch, color in zip(bp['boxes'], colors):
        patch.set_facecolor(color)
        patch.set_alpha(0.7)
    
    ax.set_xlabel('Location', fontsize=12)
    ax.set_ylabel('Humidity (%)', fontsize=12)
    ax.set_title('Humidity Distribution by Location\nWeather Forecasting Dataset - rskworld.in', 
                 fontsize=14, fontweight='bold')
    ax.grid(True, alpha=0.3)
    
    plt.tight_layout()
    
    if save_path:
        plt.savefig(save_path, dpi=300, bbox_inches='tight')
        print(f"Figure saved to {save_path}")
    
    plt.show()


def plot_correlation_heatmap(df: pd.DataFrame, save_path: str = None):
    """
    Plot correlation heatmap for numerical variables.
    
    Author: Molla Samser | Website: https://rskworld.in
    
    Parameters:
    -----------
    df : pd.DataFrame
        Weather data DataFrame
    save_path : str, optional
        Path to save the figure
    """
    numeric_cols = ['temperature_celsius', 'humidity_percent', 'pressure_hpa', 
                   'wind_speed_kmh', 'cloud_cover_percent', 'visibility_km', 'uv_index']
    
    available_cols = [col for col in numeric_cols if col in df.columns]
    correlation_matrix = df[available_cols].corr()
    
    fig, ax = plt.subplots(figsize=(10, 8))
    
    sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', center=0,
                fmt='.2f', linewidths=0.5, ax=ax, square=True)
    
    ax.set_title('Weather Variables Correlation Matrix\nWeather Forecasting Dataset - rskworld.in', 
                 fontsize=14, fontweight='bold')
    
    plt.tight_layout()
    
    if save_path:
        plt.savefig(save_path, dpi=300, bbox_inches='tight')
        print(f"Figure saved to {save_path}")
    
    plt.show()


def plot_daily_patterns(df: pd.DataFrame, variable: str = 'temperature_celsius', save_path: str = None):
    """
    Plot daily patterns for a specific weather variable.
    
    Author: Molla Samser | Website: https://rskworld.in
    
    Parameters:
    -----------
    df : pd.DataFrame
        Weather data DataFrame
    variable : str
        Variable to plot
    save_path : str, optional
        Path to save the figure
    """
    if 'datetime' not in df.columns:
        print("Error: datetime column not found")
        return
    
    df['hour'] = df['datetime'].dt.hour
    hourly_avg = df.groupby(['location', 'hour'])[variable].mean().reset_index()
    
    fig, ax = plt.subplots(figsize=(12, 6))
    
    for location in hourly_avg['location'].unique():
        loc_data = hourly_avg[hourly_avg['location'] == location]
        ax.plot(loc_data['hour'], loc_data[variable], marker='o', 
                label=location, linewidth=2, markersize=6)
    
    ax.set_xlabel('Hour of Day', fontsize=12)
    ax.set_ylabel(variable.replace('_', ' ').title(), fontsize=12)
    ax.set_title(f'Daily {variable.replace("_", " ").title()} Patterns\nWeather Forecasting Dataset - rskworld.in', 
                 fontsize=14, fontweight='bold')
    ax.legend(loc='best')
    ax.set_xticks(range(0, 24, 3))
    ax.grid(True, alpha=0.3)
    
    plt.tight_layout()
    
    if save_path:
        plt.savefig(save_path, dpi=300, bbox_inches='tight')
        print(f"Figure saved to {save_path}")
    
    plt.show()


def weather_summary_report(df: pd.DataFrame) -> str:
    """
    Generate a text summary report of the weather data.
    
    Author: Molla Samser | Website: https://rskworld.in
    
    Parameters:
    -----------
    df : pd.DataFrame
        Weather data DataFrame
        
    Returns:
    --------
    str
        Summary report text
    """
    report = """
================================================================================
                    WEATHER FORECASTING DATASET - SUMMARY REPORT
================================================================================
    Project: Weather Forecasting Dataset
    Author: Molla Samser | Website: https://rskworld.in
    Email: help@rskworld.in | Phone: +91 93305 39277
================================================================================

DATASET OVERVIEW:
-----------------
    Total Records: {total_records}
    Locations: {locations}
    Date Range: {date_min} to {date_max}
    
TEMPERATURE STATISTICS (°C):
----------------------------
    Mean: {temp_mean:.2f}
    Min: {temp_min:.2f}
    Max: {temp_max:.2f}
    Std Dev: {temp_std:.2f}
    
HUMIDITY STATISTICS (%):
------------------------
    Mean: {humid_mean:.2f}
    Min: {humid_min:.2f}
    Max: {humid_max:.2f}
    Std Dev: {humid_std:.2f}

PRESSURE STATISTICS (hPa):
--------------------------
    Mean: {press_mean:.2f}
    Min: {press_min:.2f}
    Max: {press_max:.2f}

WIND SPEED STATISTICS (km/h):
-----------------------------
    Mean: {wind_mean:.2f}
    Min: {wind_min:.2f}
    Max: {wind_max:.2f}

================================================================================
                © 2024 RSK World - https://rskworld.in
================================================================================
"""
    
    formatted_report = report.format(
        total_records=len(df),
        locations=', '.join(df['location'].unique()),
        date_min=df['datetime'].min().strftime('%Y-%m-%d') if 'datetime' in df.columns else 'N/A',
        date_max=df['datetime'].max().strftime('%Y-%m-%d') if 'datetime' in df.columns else 'N/A',
        temp_mean=df['temperature_celsius'].mean(),
        temp_min=df['temperature_celsius'].min(),
        temp_max=df['temperature_celsius'].max(),
        temp_std=df['temperature_celsius'].std(),
        humid_mean=df['humidity_percent'].mean(),
        humid_min=df['humidity_percent'].min(),
        humid_max=df['humidity_percent'].max(),
        humid_std=df['humidity_percent'].std(),
        press_mean=df['pressure_hpa'].mean(),
        press_min=df['pressure_hpa'].min(),
        press_max=df['pressure_hpa'].max(),
        wind_mean=df['wind_speed_kmh'].mean(),
        wind_min=df['wind_speed_kmh'].min(),
        wind_max=df['wind_speed_kmh'].max()
    )
    
    return formatted_report


def main():
    """
    Main function to demonstrate data analysis capabilities.
    
    Author: Molla Samser | Website: https://rskworld.in
    """
    print("""
================================================================================
            WEATHER FORECASTING DATASET - DATA ANALYSIS
================================================================================
    Author: Molla Samser
    Website: https://rskworld.in
    Email: help@rskworld.in
================================================================================
    """)
    
    # Define data path
    data_path = '../data/weather_data.csv'
    
    # Check if file exists
    if not os.path.exists(data_path):
        print(f"Data file not found at: {data_path}")
        print("Please ensure the weather_data.csv file is in the data directory.")
        return
    
    # Load data
    print("Loading weather data...")
    df = load_weather_data(data_path)
    print(f"Loaded {len(df)} records")
    
    # Generate summary report
    print("\n" + weather_summary_report(df))
    
    # Location-wise analysis
    print("\nLocation-wise Temperature Summary:")
    print("-" * 50)
    for location in df['location'].unique():
        loc_data = df[df['location'] == location]
        print(f"{location}:")
        print(f"  Avg Temp: {loc_data['temperature_celsius'].mean():.1f}°C")
        print(f"  Avg Humidity: {loc_data['humidity_percent'].mean():.1f}%")
        print()
    
    # Create visualizations
    print("Generating visualizations...")
    
    # Uncomment the following lines to generate plots
    # plot_temperature_trends(df, 'temperature_trends.png')
    # plot_humidity_distribution(df, 'humidity_distribution.png')
    # plot_correlation_heatmap(df, 'correlation_heatmap.png')
    # plot_daily_patterns(df, 'temperature_celsius', 'daily_patterns.png')
    
    print("\nAnalysis complete!")
    print("© 2024 RSK World - https://rskworld.in")


if __name__ == "__main__":
    main()

458 lines•13.9 KB

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