Data Analysis related Projects
Comprehensive guide to manipulating and managing data using SQL, including joins, aggregations, date functions, and data cleaning techniques.
Interactive Dashboard via R Shiny application: breast cancer screening.
Automatically Creating Report and Publication reday summary tables.
A guide for essential R techniques for data cleaning, transformation, and visualization.
Guide to designing clear, reproducible visuals that support public health decision-making and monitoring, using ggplot2, forcats, and scales.
Dashboard is user-controlled i.e. Results update when you click a button, giving you more control over what you see.
A practical guide to working with date and time data.
Longitudinal and Big data management and modelling: wave-by-wave variable management, reshaping, harmonisation, missing data analysis (MI/LOCF/NOCB), GLMM/GEE and Maternal…
Missing data diagnostics and imputation strategies, R and STATA. Mechanism classification (MCAR/MAR/MNAR), multiple imputation, mean Imputation and LOCF/NOCB.