(https://drive.google.com/file/d/1SIEt4Bp_4R9dcs4saU1DIui1IKWQIW38/view?usp=sharing)

Market Segmentation Analysis with McDonald's Fast Food Data

This repository contains the code and documentation for a market segmentation analysis conducted using McDonald's fast food data. The analysis aims to understand customer segments, their preferences, and provide insights for marketing strategies.

• Clustering analysis using k-means algorithm.
• Visualizations of market segments and their characteristics.
• Selection of target segments based on predefined criteria.
• Customized marketing strategies for selected segments.

Follow these steps to get started with the McDonald's Case Study.

Before using this project, ensure you have the following prerequisites:

• Python (3.6 or higher)
• Jupyter Notebook (optional for viewing analysis)

1. Clone this repository to your local machine.
2. Install the required Python libraries using pip:

pip install -r requirements.txt

Refer to the provided Jupyter Notebook or R script for detailed usage and analysis. Run the code to perform market segmentation and explore the results.

Contributions are welcome! If you'd like to contribute to this project, please follow our Contribution Guidelines.

If you encounter any issues, have questions, or want to request new features, please open an issue.

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

• The McDonald's fast food data used in this analysis.
• Open-source libraries and tools that made this analysis possible.