Organizing your Project Data Like a Researcher - Excel to R Workflow

About 90% of R errors come from badly organized Excel sheets. Your supervisor will reject your analysis if your data is not clean.

This hands-on session will teach you how to organize your field, lab and questionnaire data like a pro so R can read it without stress. You will learn the golden rules of data entry, how to import data from Excel to R without changing your file, how to clean dirty field data, handle missing values, and rename variables using `dplyr` - the exact workflow researchers use.

Requirement: Laptop with R, RStudio and Excel.
Package: `readxl`, `dplyr`