Sakira-001/Nigeria-Food-Price-Dataset

This project explores food price trends in Nigeria from 2002 to 2025 using data from the World Food Programme. It highlights inflation patterns across regions and commodities, uncovering insights on seasonal spikes, urban market disparities, and post-crisis inflation to support data-driven food security solutions. # Nigeria-Food-Price-Dataset This project explores food price trends in Nigeria from 2002 to 2025 using data from the World Food Programme. It highlights inflation patterns across regions and commodities, uncovering insights on seasonal spikes, urban market disparities, and post-crisis inflation to support data-driven food security solutions. --- ## Table of Contents 1. Overview 2. Raw Data 3. Dashboard & Dashboard Features 4. Data Cleaning Process 5. Key Metrics 6. Insights & Conclusions 7. Tools & Techniques Used 8. Questions & Answers 9. Recommendation 10. Conclusion 11. Author --- ## Overview This interactive dashboard comprehensively analyses traffic collisions across New York City. It is designed to help stakeholders—such as city planners, transportation officials, safety advocates, and the general public—better understand collision patterns, identify high-risk areas, and support data-driven decisions to enhance road safety. An addition I would be editing. --- ## Raw Data The raw data for this dashboard includes a comprehensive dataset of the NYC Road Accident dataset. It consists of the following fields: 1. **Collison ID**: A unique identifier for each collision record. 2. **Date**: The date on which the collision occurred. 3. **Time**: The specific time the collision happened. 4. **Borough**: The borough (e.g., Brooklyn, Queens, Bronx, etc.) where the collision occurred. 5. **Zip Code**: The zip code of the location where the accident took place. 6. **Latitude**: The latitude coordinate for the accident location. 7. **Longitude**: The longitude coordinate for the accident location. 8. **Street Name**: The primary street name where the accident occurred. 9. **Number of Persons Injured**: Total number of individuals injured in the accident. 10. **Number of Persons Killed**: Total number of individuals who died as a result of the accident. 11. **Number of Pedestrians Injured**: Number of injured individuals who were pedestrians. 12. **Number of Pedestri …