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Jupyter Notebook Analysis

This project contains Jupyter notebooks for data analysis. The notebooks cover various topics such as data cleaning, visualization, and statistical modeling.

Requirements

  • Python 3.6 or above
  • Jupyter Notebook
  • Required Libraries: pandas, numpy, matplotlib, seaborn, etc.

Getting Started

  1. Clone the repository
git clone https://github.com/username/jupyter-notebook-analysis.git
  1. Install the required libraries
pip install -r requirements.txt
  1. Launch Jupyter Notebook
jupyter notebook
  1. Open the desired notebook and run the code

Note

  • Some notebooks may require additional data files which are not included in this repository.
  • Be sure to read the markdown cells at the start of each notebook for any additional setup instructions or explanations of the code.

Acknowledgements

License

This project is licensed under the MIT License - see the LICENSE file for details.