Data Analysis Project

This project is designed to analyze the data provided by DoorDash for their contracted delivery drivers. The analysis aims to extract insights from the data dump and provide meaningful information regarding delivery patterns, performance metrics, and other relevant statistics.

Project Structure

data-analysis-project
├── data
│   └── doordash_data.csv      # Contains the data dump from DoorDash
├── src
│   ├── analysis.py             # Main logic for data analysis
│   └── utils.py                # Utility functions for data manipulation
├── requirements.txt            # Python dependencies for the project
├── .gitignore                  # Files and directories to be ignored by Git
└── README.md                   # Project documentation

Setup Instructions

1. Clone the repository:

   git clone <repository-url>
   cd data-analysis-project
   

2. Install dependencies: It is recommended to use a virtual environment. You can create one using:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`
   

   Then install the required packages:

   pip install -r requirements.txt
   

Usage

To run the data analysis, execute the following command:

python src/analysis.py

Make sure to modify the analysis.py file to include any specific parameters or configurations needed for your analysis.

Contributing

Contributions are welcome! Please feel free to submit a pull request or open an issue for any suggestions or improvements.

License

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