Daramola-olaide/Cancer-Analytics-Across-SouthAfrica-Nigeria-and-the-United-Kingdom

Using Power BI, this project analyses cancer burden and survival outcomes across Nigeria, South Africa, and the United Kingdom. The goal is to surface where the gaps are, what is driving them, and what the numbers obscure as much as what they reveal. Built using Power BI. Data cleaned and structured prior to visualisation. ## Project Overview This project analyses cancer data across the United Kingdom, Nigeria, and South Africa to understand how health system infrastructure, screening access, and resource availability shape cancer outcomes at a population level. Most cancer analytics projects work within a single country. This project deliberately crosses borders — because the most revealing insights about why outcomes differ emerge when you compare countries where the disease biology is the same but the systems responding to it are not. ### Countries: United Kingdom · Nigeria · South Africa ### Cancer Types: Multiple (including breast, cervical, prostate, colorectal, lung) ### Metrics Analysed - Incidence rates - Mortality rates - Survival rates ## Tools & Skills **Power BI** — Dashboard development and interactive visualisation **Data Cleaning & Normalisation** — Cross-source harmonisation across three national datasets **Age Standardisation** — World Standard Population methodology **Healthcare Domain Knowledge** — Nuclear medicine · Nuclear physics graduate ## Key Questions This Project Answers 1. How do cancer incidence and mortality rates compare across the UK, Nigeria, and South Africa — three countries with fundamentally different health system models? 2. With the UK averaging a 73.23% survival rate against significantly lower figures in Nigeria and South Africa, how much of that gap is treatment quality versus stage at detection? 3. What does the data reveal about screening access and equity — from the UK's NHS cervical screening programme to near-absent early detection infrastructure in parts of sub-Saharan Africa? 4. How does South Africa's split public/private system produce outcomes that simultaneously resemble Western Europe and the broader sub-Saharan average within the same national dataset? ## Dashboard ## The dashboard includes: **Incidence Rate Comparison** : Age-standardised rates per 100,000 population across all three countries, filterable by cance …