This repository contains the notebook for the Error404 DayDoom Data project, which was awarded Winner at the DATATHON 2025. The project analyzes disaster-related data to gain insights into the various impacts of different types of disasters globally. It integrates multiple datasets, including EM-DAT and INFORM Risk datasets, to assess and visualize disaster risk levels and their historical impact on affected regions.
- Data Integration: Combines disaster data from EM-DAT and INFORM Risk datasets.
- Data Preprocessing: Cleans and prepares data for analysis, ensuring consistency across multiple datasets.
- Exploratory Data Analysis (EDA): In-depth exploration of disaster trends, types, and their geographical distribution.
- Visualizations: Interactive and static visualizations such as heatmaps, bar charts, and time series plots to illustrate findings.
- Risk Assessment: Use of the INFORM Risk dataset to evaluate disaster risks and predict potential impacts in the future.
- Winner of DATATHON 2025
- Successfully integrated historical disaster data to create insightful visualizations.
- Demonstrated ability to preprocess and clean large datasets for actionable insights.
To get started with this project, clone this repository and set up your environment as follows:
# Clone the repository
git clone https://github.com/Nanduu24//Error404_DayDoomData.git
# Navigate to the project directory
cd Error404_DayDoomData
# Open the Jupyter notebook
jupyter notebook Error404_DayDoomData.ipynb
This project uses the following datasets:
- EM-DAT: The Emergency Events Database containing historical data on disasters.
- INFORM Risk: The INFORM dataset provides a global risk assessment based on multiple disaster risk factors.
Feel free to fork this project, open issues, or submit pull requests. Contributions are welcome to further enhance the analysis or add additional data sources.
- DATATHON 2025 for organizing this amazing event.
- The creators and contributors of the EM-DAT and INFORM Risk datasets for providing valuable resources to the research community.
Below are some of the key visuals generated as part of the project:
