quarto doc with applet

This project explores how post-harvest spoilage, storage, transport, and training affect profitability among youth agripreneurs in Nigeria. Using real-world survey data, I calculated loss percentages, adjusted revenue per kg, and analyzed trends with visualizations and a simple regression model. Key insights: Longer storage and long-distance transport lead to more spoilage and revenue loss Farmers trained in post-harvest handling and those using tech had better outcomes Storage methods and market access also play a big role in reducing loss The findings can help guide policies and support tools that improve agricultural income and food security.

Analysing discrete time survival analysis in R

Uploading materials for survival data analysis

Pie chart