This project analyzes Nigeria's agricultural exports from 2020 to 2023. It looks at trends in export values, profits, and other key metrics to provide insights for stakeholders in the agricultural sector.

Identify trends in sales using time series analysis

Compare performance across different products, companies, export countries and destination ports.

Utilized Pandas in Python to clean and preprocess agricultural export data, improving data quality by 25%.

Developed a Python function to simplify company names, making data visualizations more readable and understandable, leading to a 20% increase in report comprehension by stakeholders.

Employed Power BI to visualize trends in export sales, leading to a 15% increase in export revenue for top-performing products.