- 17 Jul, 2025
- Juliana Nakiwanda
- No comment
Strengthening M&E systems through data analysis using R programming (Part 2).
In this session, participants will learn how to install R and R Studio, import data into R, and perform Exploratory Data Analysis (EDA), with a focus on its relevance and application in Monitoring and Evaluation. This builds on the previous session, which introduced participants to the fundamentals of R programming, including its importance, installation, and the R Studio interface. Participants also explored data types, mathematical expressions, vectors, data frames, and packages in R, and concluded with an advanced example tailored to the needs of M&E professionals.
Video recording is attached below.
Brief Bio of the Presenter (Methodius)
Methodius is a Monitoring and Evaluation professional with a solid academic foundation in statistics and evaluation. He holds a Bachelor of Statistics from Makerere University and a Postgraduate Diploma in Monitoring and Evaluation from Uganda Management Institute.
He brings hands-on experience from various national and international organizations. Currently serving as a Uganda Monitoring, Evaluation and Learning Field Data Coordinator at One Acre Fund, he has previously worked as a Research and Learning Analyst at Asigma Capital Advisory Services, a Data Management and Analysis Consultant for Makerere University’s Pathogen Economy Project, a Research Assistant Consultant for FAO, and a Project Statistician with the Africa One Health University Network. He is also a part time facilitator for data management and sharing at Africa One Health University Network Academy (AFROHUN Academy) for “Post Graduate Diploma in Inter Africa Pandemic Preparedness with a One Health Approach” programme.
Methodius is dedicated to applying statistical principles and software in revolutionising monitoring and evaluation. He has for over years gained first-hand experience in use of data analytics and visualisation software that include R, Python, STATA, SPSS, MS Excel, PowerBI, Looker studio and QGIS. His work has focused on translating complex data into actionable insights to support evidence-based decision-making.
