CSID-NET-Ethiopia/Basics_of_data_wrangling_in_R

Basic data managment and wrangling training repository in R # Basic R Training for Public Health Analytics - CSID NET Ethiopia This repository hosts the training materials developed by the **CSID NET Ethiopia Community of Practice (CoP)** to build foundational **R-based data analytics skills** among national and regional public health officers, researchers, and early-career practitioners. The training is grounded in the context of **epidemic intelligence**, with a special emphasis on **climate-sensitive diseases** and practical handling of routine surveillance data. The goal is to introduce participants to the **core logic of R**, key workflows for **data manipulation**, and reproducible analytics for public health decision-making. The materials are open, adaptable, and designed for both **self-learning** and **facilitator-led training sessions**. Any group, institution, or community is free to use and modify the content — simply provide credit to the CSID NET Ethiopia CoP. --- ## What This Training Provides - A hands-on introduction to **R basics** (objects, functions, syntax). - Practical exercises using **realistic public health data**. - Demonstrations of **data import, cleaning, wrangling, and summarization**. - Simple analytic workflows using packages commonly applied in epidemiology. - Presentation-ready slides created with **Quarto**. - Freely reusable code and exercises for teaching and learning. We also welcome **collaborations** to expand or deepen the material. If you are interested, please reach out. --- ## How to Use the Training Materials 1. Open `Full_training_slides.qmd` — this is the **main source file** containing lecture content, examples, and code. 2. Render the `.qmd` file in your browser or presentation viewer using **Quarto**. 3. A **PDF version** of the slides is also included for offline sharing. 4. Some exercises use built-in datasets available in R; others use external data stored in the **`exercise_data/`** folder. To run the examples, you only need a standard R installation with com …