jeisteve999/road-infrastructure-africa-tanzania-analysis

Data analysis of African road infrastructure using Python. Built automated pipelines to assess paved vs unpaved roads and generate insights on governance and infrastructure gaps # Road Infrastructure Analysis – Tanzania 🇹🇿 ## Overview This project analyzes road infrastructure data using the FRST dataset (~13M road segments across Africa). The objective is to quantify road conditions and uncover infrastructure gaps linked to governance, policy decisions, and investment outcomes. --- ## Objectives - Measure paved vs unpaved road distribution - Calculate total road network length - Identify infrastructure gaps - Support data-driven governance insights --- ## Key Results (Tanzania Case Study) - **Total road network:** ~320,319 km - **Paved roads:** 27,203.75 km (**8.49%**) - **Unpaved roads:** 293,115.38 km (**91.51%**) ### Insight Over 90% of roads in Tanzania are unpaved, highlighting a significant infrastructure gap. This supports the "Budget vs Reality" narrative, where investment does not fully translate into road quality outcomes. --- ## Tools & Technologies - Python (Pandas) - Data cleaning & transformation - Automated data processing pipeline --- ## Pipeline - Load raw dataset (country-level files) - Clean and standardize road length values - Convert units for consistency - Compute infrastructure metrics (km, % distribution) - Generate summary outputs