World Food Production

Overview

This repository contains a Jupyter Notebook dedicated to analyzing global food production. It explores various factors influencing food production, including agricultural practices, sustainability, and food security.

Contents

• World_Food_Production.ipynb: The main Jupyter Notebook containing data analysis, visualizations, and insights related to food production trends and challenges.

Features

• Data Analysis: In-depth analysis of food production data, including crop yields and agricultural outputs.
• Visualizations: Graphs and charts that illustrate key trends in global food production.

Getting Started

To run the Jupyter Notebook, follow these steps:

1. Clone the repository:

   git clone https://github.com/code-with-bindu/World-Food-Production.git

2. Navigate to the directory:

   cd World-Food-Production

3. Install the necessary packages (if you haven't already):

   pip install -r requirements.txt

4. Open the Jupyter Notebook:

   jupyter notebook World_Food_Production.ipynb

Contributing

Contributions are welcome! If you have suggestions for improvements or additional analyses, feel free to create a pull request.

License

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

Acknowledgments

• Thanks to all contributors and data sources that made this analysis possible.