Dr Sara King1, Mr Michael D’Silva1
1AARnet, Chatswood, Australia
AARNet introduced the Service for Web-based Analysis (SWAN) in 2019. Since then, researchers across Australia have been able to perform interactive data analysis in CloudStor using a web browser, without the need to install any software, SWAN is always readily accessible for users
After listening to user feedback, AARNet recently updated the service to include some new features:
- Julia Kernel
- Java Kernel
- OpenRefine
- RStudio
Julia is the language of choice for data scientists and has become increasingly popular in many fields of research, especially those that need large-scale numerical work such as machine learning and climate modelling.
Java, one of the most popular computer programming languages in the world, is now also available in SWAN. Java is a general-purpose programming language that is often used for client–server web applications.
Additionally, OpenRefine, is a popular application for data clean-up and transformation. Used in Library Carpentry, it is a powerful tool for information management professionals and anyone needing to clean up their datasets to make them machine readable.
RStudio is an environment made for R; a programming language that specialises in statistical computing and graphics. SWAN already includes the R kernel for Jupyter Notebooks, but this is the first time we are offering the full benefit of RStudio for those who prefer working in that environment.
In this lightning talk we will demonstrate each of these new features.
Biography:
Dr Sara King is the Training and Engagement Lead for AARNet. She is focused on outreach within the research sector, developing communities of interest around training, outreach and skills development in eResearch. She is passionate about helping others develop the infrastructure and digital literacies required for working in a data-driven world, translating technology so it is accessible to everyone.