The purpose of this project is to perform an exploratory data analysis on AQI data. The analysis includes both univariate and bivariate analyses to uncover insights and patterns within the dataset. The findings from this analysis can help in understanding the air quality trends and factors affecting it.
To run the notebooks and scripts in this repository, you need to have the following packages installed:
- pandas
- numpy
- matplotlib
- seaborn
- jupyter
For detailed documentation on the project, analysis methods, and code usage, Click Here!
If you have any questions, suggestions, or feedback, feel free to reach out via My Mail.
Contributions are welcome! If you have any suggestions or improvements, please submit a pull request or open an issue.
This project is licensed under the MIT License. See the LICENSE file for more details.