Developed as part of the Gauss Scientific Club by Dominik Kukla, Wojciech Kowal, and Mariia Kopylova.
This project analyzes the "Road Traffic Accidents" dataset from Kaggle using Python, Pandas, and Plotly.
- Collected from Addis Ababa Sub-city police departments (2017–2020).
- Contains 32 features and 12,316 records.
- Data preprocessing and cleaning.
- Numerical, univariate, and multivariate analysis.
- Insightful visualizations.
- Conclusions and key findings based on the data.
- Log in to Kaggle, go to Account > API, and click Create New API Token to download
kaggle.json. - Place
kaggle.jsonin:- Linux/macOS:
~/.kaggle/ - Windows:
%USERPROFILE%\.kaggle\
- Linux/macOS:
Create a .env file in the project root with:
DATASET_PATH="saurabhshahane/road-traffic-accidents"