🌦️ Weather API Visualization

A Python-based data analysis project that fetches historical or live weather data using a public API (or CSV file) and visualizes key metrics such as temperature, humidity, and wind speed.

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📌 Features

• 🌐 Fetch weather data using APIs (requests)
• 📊 Data cleaning and processing with pandas
• 📈 Visualization using matplotlib and seaborn
• 🔁 Supports both live API data and offline CSV datasets
• 📉 Trend analysis for temperature, humidity, and wind speed

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🧰 Technologies Used

• Python 3.x
• Requests
• Pandas
• Matplotlib
• Seaborn

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📁 Project Structure

weather-visualization/
│── weather_visualization.py   # Main Python script
│── weather.csv                # Optional dataset (for offline use)
│── README.md                 # Project documentation

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⚙️ Installation

Install the required dependencies:

pip install requests pandas matplotlib seaborn

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🚀 How to Run

1️⃣ Clone the Repository

git clone https://github.com/codewithshami/wheather_dashboard.git
cd wheather_dashboard

2️⃣ Run the Script

python wheather_dashboard.py

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⚠️ Important Notes

• Ensure you have an active internet connection when using live API data.
• If API is not available, you can use the provided weather.csv file.
• Update API keys (if required) inside the script before running.

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📊 Example Visualizations

• Temperature vs Time 📈
• Humidity Trends 💧
• Wind Speed Analysis 🌬️

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💡 Future Improvements

• Add real-time dashboard using Streamlit
• Integrate multiple city comparisons
• Deploy as a web application
• Add predictive analytics using Machine Learning

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🤝 Contributing

Contributions are welcome! Feel free to fork the repository and submit a pull request.

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📬 Contact

Mohd Shami 📧 codexshami@gmial.com 📍 Uttar Pradesh, India

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⭐ If you like this project, don't forget to star the repository!