https://github.com/thecoderpinar/data_climate_dynamics
https://github.com/thecoderpinar/data_climate_dynamics
Last synced: 8 months ago
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- Host: GitHub
- URL: https://github.com/thecoderpinar/data_climate_dynamics
- Owner: ThecoderPinar
- Created: 2023-08-16T15:11:00.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-08-16T15:23:18.000Z (over 2 years ago)
- Last Synced: 2025-02-09T04:16:18.187Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 1.23 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Global Climate Change and Sea Level Analysis Project
## Project Description
This project aims to examine the relationship between global climate change and sea levels worldwide and predict the future impacts of these changes. The project includes the analysis of sea level data, temperature changes, daily rainfall, and air quality.
## Technologies Used
- Python
- Pandas
- Matplotlib
- Seaborn
- Cartopy
- Plotly
- Jupyter Notebook
## Installation
1. Clone the project to your computer: `git clone https://github.com/your-username/Climate_Analysis.git`
2. If you're using Anaconda or Miniconda, you can use the `environment.yml` file to install the required dependencies: `conda env create -f environment.yml`
3. Navigate to the project directory: `cd Climate_Analysis`
4. Start Jupyter Notebook: `jupyter notebook`
## Contribution
1. Fork this project.
2. Create a new branch: `git checkout -b new-feature`
3. Commit your changes: `git commit -am 'Added a new feature'`
4. Push to your branch: `git push origin new-feature`
5. Create a Pull Request.
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more information.