This project aims to scrape data about weather conditions and piracy warnings from various sources across the globe. The collected data will be stored in a structured format for easy analysis and visualization.

• Weather data will be obtained from the National Oceanic and Atmospheric Administration (NOAA) website.
• Piracy warning data will be obtained from the International Maritime Bureau (IMB) website.

• Python's requests and BeautifulSoup libraries will be used to scrape data from the NOAA and IMB websites.
• A script will be written to automate the data scraping process and store the collected data in a CSV file.

• The collected data will be analyzed using Python's pandas and matplotlib libraries to identify patterns and trends.
• Visualizations such as line charts, bar charts, and heatmaps will be created to effectively communicate the findings.

1. Clone the repository to your local machine

git clone https://github.com/<username>/WeatherPiracyScraping.git

2. Install required packages

pip install -r requirements.txt

3. Run the script

python main.py

• Make sure to use python3
• Data scraping may take a while depending on the amount of data and the speed of your internet connection.
• Be aware of any legal restriction or compliance issue with scraping data from the website.

• Feel free to raise an issue or submit a pull request if you have any suggestions or improvements for the project