R for Biologists: Data Wrangling, Visualization, and Reproducible Analysis

This hands-on workshop was delivered as part of the CoE MicroPlanet Global Ambassador Program (GAP), focusing on transparency, scripting, and interpretation in biological data analysis.

Topics Covered

• Data wrangling with the tidyverse ecosystem
• Data visualization with ggplot2
• Reproducible reporting with R Markdown
• Shifting from click-based tools (e.g., SPSS) toward scripted, transparent workflows
• Practical exercises using biological datasets

It matters because undergraduate biology education at many Indonesian universities still relies heavily on click-based software, which obscures analytical logic and prevents students from understanding how results are constructed or reproduced. This workshop aimed to bridge that gap by introducing open-source, reproducible tools.

This was Day 2 of a three-day program at ITS as part of the CoE MicroPlanet Global Ambassador Program.