A Python data analytics project exploring incidents, accidents and violence in Nigeria using Pandas and Streamlit.
# Nigeria Incident Analytics Dashboard
## Project Overview
This project analyses incidents, accidents, and violence recorded across Nigeria using Python for data analysis and Streamlit for dashboard development.
The project involves data cleaning, exploratory data analysis (EDA), visualisation, and the development of an interactive dashboard.
## Tools Used
- Python
- Pandas
- Streamlit
- Jupyter Notebook
## Project Files
- `incidents.csv` – Original dataset downloaded from Kaggle.
- `cleaned_incidents.csv` – Cleaned dataset used for analysis.
- `Incident_Analysis.ipynb` – Jupyter Notebook containing data cleaning, EDA, visualisations, findings, and recommendations.
- `app.py` – Streamlit dashboard application.
- `requirements.txt` – Required Python libraries.
## Dashboard Features
- Dashboard summary
- Interactive Year filter
- Interactive Location filter
- Incident trends by year
- Incident trends by month
- Top 10 locations by incidents
- Top 10 incident types
- Top 10 locations by deaths
- Death trend by year
## Dataset Source
kaggle.com