Welcome to the Fast-Food Restaurants Branch Expansion Data Analytics Project repository! Here, you'll find the data, Jupyter notebook with the code, final report in HTML format, and a PDF presentation outlining the solution. 📈✨
- Introduction
- Project Overview
- Project Components
- Getting Started
- Analysis and Results
- Contributing
- License
This repository houses a Data Analytics project focused on fast-food restaurant branch expansion in the US market. The goal is to analyze data, derive insights, and provide recommendations for strategic branch expansion.
The project comprises the following components:
- Data: Raw and processed data related to the fast-food industry and market trends.
- Jupyter Notebook: Python code for data cleaning, exploration, and analysis.
- Final Report (HTML): A comprehensive report detailing the findings, insights, and recommendations.
- Presentation (PDF): A concise presentation summarizing the key aspects of the solution.
- data/: Raw and processed datasets.
- code/Project2.ipynb: Python code for data analysis and exploration.
- CL-DA-Project2-1.xlsx: Excel file with data preprocessing and calculations
- CL-DA-Project2-1.html: A detailed report outlining the analysis, insights, and recommendations.
- CL-DA-Project2-1.pdf: A concise presentation summarizing the key aspects of the solution.
- Clone the repository:
git clone https://github.com/ivanovsdesign/cl_data_analytics_restaurants
- Explore the data, Jupyter notebook, final report, and presentation.
cd cl_data_analytics_restaurants
The Jupyter notebook (notebook.ipynb) contains the step-by-step analysis, visualizations, and insights derived from the data. For a detailed overview, refer to the Final Report and Presentation (PDF).
Contributions are welcome! If you have suggestions, improvements, or additional analyses, feel free to open issues or submit pull requests.
No license provided
Happy analyzing! 🍟📊