|Image by Erika Duan|
First, part of my research involved the exploration and visualisation of extremely large datasets.
Second, it never hurts to learn a new job skill.
R is a programming language used mostly by statisticians, bioinformaticians and data scientists (due to its vast library of statistical, data exploration and visualisation tools). Code is written via a program called R studio. As a beginner, I found the R studio environment very friendly, as it allows you to write code, test it in small segments (or ‘chunks’) and quickly visualise your results.
When I first started learning R, I had no experience with coding and was utterly clueless. My first coding session happened at an introductory workshop held by Research Bazaar (ResBaz) in 2016. ResBaz is an annual research fair, held early in the year at the University of Melbourne, which promotes computer literacy and digital research. Although I emerged from the workshop only slightly more knowledgeable than before, the biggest impact of attending ResBaz was its introduction to online research communities via Twitter. This allowed me to connect with different data science communities and researchers, and their posts have led me to useful resources for learning how to code.