{
    "_metadata": {
        "project": "Weather Forecasting Dataset",
        "category": "Time Series Data",
        "version": "2.0.0",
        "created": "2024",
        "updated": "2024",
        "author": {
            "name": "Molla Samser",
            "role": "Founder & Developer",
            "website": "https://rskworld.in",
            "email": "help@rskworld.in",
            "phone": "+91 93305 39277"
        },
        "designer_tester": {
            "name": "Rima Khatun",
            "role": "Designer & Tester"
        },
        "about": "RSK World is your one-stop destination for free programming resources, source code, and development tools.",
        "license": "Educational Purpose Only",
        "copyright": "© 2024 RSK World - https://rskworld.in"
    },
    "dataset": {
        "id": 4,
        "title": "Weather Forecasting Dataset",
        "category": "Time Series Data",
        "description": "Comprehensive weather dataset with temperature, humidity, pressure, and precipitation data for weather forecasting models.",
        "full_description": "This advanced dataset includes historical weather data with temperature, humidity, pressure, precipitation, wind speed, air quality index, solar radiation, soil conditions, and 35+ other meteorological variables. Perfect for weather forecasting, climate analysis, machine learning, anomaly detection, and time series prediction models.",
        "technologies": ["CSV", "JSON", "Time Series", "Pandas", "Scikit-learn", "TensorFlow", "Flask"],
        "difficulty": "Intermediate",
        "source_link": "./weather-forecasting/weather-forecasting.zip",
        "demo_link": "./weather-forecasting/",
        "icon": "fas fa-clock",
        "icon_color": "text-success",
        "project_image": "./weather-forecasting/weather-forecasting.png",
        "project_image_alt": "Weather Forecasting Dataset - rskworld.in"
    },
    "features": [
        "Temperature and humidity data",
        "Pressure and precipitation",
        "Wind speed and direction",
        "Multiple locations (5 cities)",
        "Time series format",
        "Air Quality Index (AQI) with PM2.5, PM10, Ozone",
        "Solar radiation and UV index",
        "Soil temperature and moisture",
        "Heat index and wind chill",
        "Weather alerts and warnings",
        "Forecast vs Actual comparison data",
        "Seasonal statistics",
        "Machine learning models",
        "Anomaly detection algorithms",
        "Weather API simulation",
        "Interactive dashboard"
    ],
    "files": {
        "csv_files": [
            {
                "filename": "weather_data.csv",
                "description": "Main weather data with all meteorological parameters",
                "records": 120,
                "columns": 21
            },
            {
                "filename": "weather_advanced.csv",
                "description": "Advanced weather data with 35+ parameters including AQI, solar, soil",
                "records": 70,
                "columns": 38
            },
            {
                "filename": "weather_alerts.csv",
                "description": "Weather alerts and warnings data",
                "records": 10,
                "columns": 14
            },
            {
                "filename": "weather_forecast_comparison.csv",
                "description": "Forecast vs actual comparison for model evaluation",
                "records": 30,
                "columns": 17
            },
            {
                "filename": "seasonal_statistics.csv",
                "description": "Monthly and seasonal weather statistics",
                "records": 60,
                "columns": 21
            },
            {
                "filename": "locations.csv",
                "description": "Location master data with geographic information",
                "records": 5,
                "columns": 10
            },
            {
                "filename": "weather_hourly_extended.csv",
                "description": "Extended hourly data with additional parameters",
                "records": 72,
                "columns": 15
            }
        ],
        "json_files": [
            {
                "filename": "weather_data.json",
                "description": "Complete weather data in JSON format"
            },
            {
                "filename": "dataset_info.json",
                "description": "Dataset metadata and information"
            }
        ]
    },
    "advanced_features": {
        "ml_models": [
            "Linear Regression",
            "Ridge Regression",
            "Lasso Regression",
            "Random Forest Regressor",
            "Gradient Boosting",
            "XGBoost",
            "Support Vector Regression",
            "LSTM Neural Network"
        ],
        "anomaly_detection": [
            "Z-score method",
            "IQR method",
            "Isolation Forest",
            "Local Outlier Factor",
            "Moving Average Deviation"
        ],
        "api_endpoints": [
            "GET /api/weather/current",
            "GET /api/weather/forecast",
            "GET /api/alerts",
            "GET /api/locations"
        ]
    },
    "columns_description": {
        "basic": {
            "date": "Date of the weather observation (YYYY-MM-DD)",
            "time": "Time of the observation (HH:MM)",
            "datetime": "Combined datetime column",
            "location": "City name where observation was recorded",
            "latitude": "Geographic latitude coordinate",
            "longitude": "Geographic longitude coordinate",
            "temperature_celsius": "Air temperature in Celsius",
            "temperature_fahrenheit": "Air temperature in Fahrenheit",
            "feels_like_celsius": "Apparent temperature (feels like)",
            "humidity_percent": "Relative humidity percentage",
            "pressure_hpa": "Atmospheric pressure in hectopascals",
            "wind_speed_kmh": "Wind speed in kilometers per hour",
            "wind_direction": "Wind direction (compass direction)",
            "wind_gust_kmh": "Maximum wind gust speed",
            "precipitation_mm": "Precipitation amount in millimeters",
            "precipitation_probability": "Probability of precipitation (%)",
            "cloud_cover_percent": "Cloud cover percentage",
            "visibility_km": "Visibility distance in kilometers",
            "uv_index": "UV radiation index",
            "dew_point_celsius": "Dew point temperature",
            "weather_condition": "Main weather condition",
            "weather_description": "Detailed weather description"
        },
        "advanced": {
            "air_quality_index": "Air Quality Index (0-500)",
            "pm25": "Fine particulate matter PM2.5 (µg/m³)",
            "pm10": "Coarse particulate matter PM10 (µg/m³)",
            "ozone_ppb": "Ground-level ozone (ppb)",
            "no2_ppb": "Nitrogen dioxide (ppb)",
            "so2_ppb": "Sulfur dioxide (ppb)",
            "co_ppm": "Carbon monoxide (ppm)",
            "solar_radiation_wm2": "Solar radiation (W/m²)",
            "soil_temperature_celsius": "Soil temperature (°C)",
            "soil_moisture_percent": "Soil moisture (%)",
            "evapotranspiration_mm": "Evapotranspiration (mm)",
            "heat_index_celsius": "Heat index (°C)",
            "wind_chill_celsius": "Wind chill factor (°C)",
            "wet_bulb_celsius": "Wet bulb temperature (°C)",
            "cloud_base_m": "Cloud base height (m)",
            "weather_code": "Weather condition code",
            "weather_severity": "Weather severity level (0-5)",
            "is_daylight": "Daylight indicator (0/1)"
        }
    },
    "use_cases": [
        "Weather forecasting using machine learning",
        "Time series analysis and prediction",
        "Climate pattern recognition",
        "Seasonal trend analysis",
        "Temperature prediction models",
        "Humidity and precipitation correlation studies",
        "Regional weather comparison",
        "Air quality monitoring and prediction",
        "Anomaly and extreme weather detection",
        "Solar energy forecasting",
        "Agriculture planning with soil data",
        "Health impact studies (heat index, UV)",
        "API development and testing"
    ]
}