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Time Series Visualization for Health Trends

In this session of Intermediate R Training (Part 1), we explore how to visualize health trends using time series analysis in R. Facilitator will guide you step-by-step through: Time series basics with ggplot2 Selecting time frames Annotation and dual y axes Plotly: interactive charts Dygraphs Bump plots This session is tailored for medical students, health workers, and practitioners who are learning R for research, data analysis, and evidence-based practice. The R for Fun Club provides a supportive, hands on space for health researchers and practitioners to strengthen their R programming skills after each class. The Afredac Ubuntu Platform is a pan-African peer-to-peer network dedicated to enhancing health research and data science in Africa. It’s a free space for health and data researchers working on African projects to connect through training, share experiences, develop innovations, and drive discoveries across the continent. AFREDAC Platform: Visit here: https://afredac.net/ R For Fun Club (RFC): Become a member here: https://afredac.net/groups/r-for-fun-...