Ayobami456/Nigeria-Road-Crash-Analysis

End-to-end data analysis of Nigerian road crashes (2020–2024) using Python and Power BI. ## Nigeria Road Traffic Crash Analysis (2020–2024) ## Overview This project analyzes road traffic crashes across all Nigerian states from Q4 2020 to Q1 2024. It uncovers trends in crashes, fatalities, injuries, and contributing factors. The interactive dashboard allows exploration of trends across states and time periods, providing actionable insights for policymakers, traffic safety analysts, and researchers. ## Tools & Technologies - **Python** (Pandas, Matplotlib) – data cleaning, transformation, and visualizations - **Power BI** – interactive dashboard with filters and custom tooltips ## Highlights - Developed an **interactive dashboard** to explore crash trends by state, year, and contributing factors - Calculated key metrics including **Fatality Rate**, **Injury Rate**, and **Vehicles per Crash** per state - Identified **high-risk states** and major crash contributors, such as speed violations and fatigue - Designed professional, visually appealing dashboards with **consistent color palette** and clear storytelling ## Impact - Provides **actionable insights** for policymakers and traffic safety analysts - Allows stakeholders to quickly identify trends and **prioritize interventions** - Demonstrates expertise in **Python data analysis** and **interactive Power BI reporting** ## Dashboard & Files - **Screenshots:** Check the `/Dashboard` folder for interactive dashboard screenshots - **Power BI file:** The `.pbix` dashboard file is included for download and exploration