Python data analysis and Streamlit dashboard for Nigeria incidents.
# Nigeria Incidents & Violence Analysis
## Project Overview
This project analyzes incidents and violence data in Nigeria using Python and presents the findings through an interactive Streamlit dashboard.
The analysis explores incident patterns, deaths, yearly trends, monthly trends, and the deadliest incidents.
## Tools Used
- Python
- Pandas
- Matplotlib
- Jupyter Notebook
- Streamlit
- GitHub
## Key Analysis
The project answers research questions such as:
- How many incidents occurred each year?
- Which years recorded the highest number of incidents?
- Which years recorded the highest number of deaths?
- Which months recorded the highest number of incidents?
- Which months recorded the highest number of deaths?
- Which incidents recorded the highest number of deaths?
## Interactive Dashboard
The Streamlit dashboard allows users to filter the analysis by:
- Year
- Month
Users can also download the filtered dataset as a CSV file.
## Project Files
- `app.py` — Streamlit dashboard
- `incidents_updated.csv` — Dataset
- `requirements.txt` — Python dependencies
- `README.md` — Project documentation
## Dashboard
The project is deployed using Streamlit Community Cloud.
nigeria-incidents-analysis-…