Swiggy Insights is a data analysis project that extracts valuable insights from orders made through Swiggy app. Through interactive data visualizations, it highlights trends, patterns, and user preferences.
Happy analyzing and bon appétit! 🍽️📊🔍
This project utilizes jupytext for version control for Jupyter Notebooks. Use jupytext to convert the python file to notebook format.
- Install dependencies
poetry install
- Set up Jupytext to automatically sync your notebooks as scripts:
jupytext --set-formats ipynb,py swiggy.py # Turn swiggy.ipynb into a paired ipynb/py notebook
jupytext --sync swiggy.py # Update whichever of swiggy.ipynb/swiggy.py is outdated
Contributions to Swiggy Insights are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request.
When contributing, please ensure to follow the existing coding style and guidelines, and provide clear commit messages to maintain a clean and readable codebase.
This project is licensed under the GPL-3.0 license.