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Data_Analys_Process

This project contains data analysis processes in the field of biotechnology.

Project Contents

The project includes the following files under the Biocom_Analys directory:

  • Biocom.ipynb: Main data analysis notebook
  • interaktif_harita.html: Interactive map created for data visualization
  • yabanci_detay_listesi.csv: CSV file containing detailed information about foreign institutions
  • yabanci_kurum_listesi.csv: CSV file containing the list of foreign institutions

Usage

  1. Clone the project:
git clone https://github.com/[username]/Data_Analys_Process.git
  1. Install required Python packages:
pip install -r requirements.txt
  1. Start Jupyter Notebook:
jupyter notebook
  1. Open Biocom_Analys/Biocom.ipynb and examine the analyses.

Data Visualization

The interactive map (interaktif_harita.html) created within the project can be viewed by opening it in your web browser.

Contributing

  1. Fork this repository
  2. Create a new branch (git checkout -b feature/newFeature)
  3. Commit your changes (git commit -am 'New feature: Description')
  4. Push to your branch (git push origin feature/newFeature)
  5. Create a Pull Request

License

This project is licensed under the MIT License. See the LICENSE file for more information.

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