I developed a data analysis project that scrapes agricultural listings from Jiji.ng (http://Jiji.ng) to uncover pricing patterns, product trends, and regional market insights. Using Python, Pandas, NumPy, BeautifulSoup, Requests, and Plotly, I built a multi-page Streamlit app with interactive visualizations and summary statistics. Check out the live app here (https://jiji-agriculture-foodstuff-233.streamlit.app/) and the code on GitHub here (https://github.com/Netlution/Jiji-Agriculture-Foodstuff.git). I want to share my web scraping, data analysis, and visualization skills to help others turn raw data into actionable insights. 
