The data science platform supports teaching by providing users with access to interactive data science environments via the web browser.
Current components of this service include RStudio Server Pro and Jupyter Lab.
Please note: The main aim of this service is to support teaching and the service should not be used for computationally intensive research. If your use starts to affect the experience of other users, we reserve the right to terminate sessions without notice.
UCL Students and Staff are elligible to use both the JupyterLab and RStudio components of this service as part of a taught course.
The Data Science Platform and all of its components are only accessible from the UCL network. When off campus, you will need to connect to the UCL VPN first.
Visit jupyter.data-science.rc.ucl.ac.uk and log in with your UCL credentials.
Access is blocked by default due to licencing restrictions. Staff who would like to use the service to deliver teaching should email email@example.com to request access (please include your UCL username). To grant access to students, please pre-register the course by emailing the above address and provide the SITS code of the relevant module(s) and a pdf or link to the syllabus. Students who are registered on those SITS modules will then be added automatically.
Visit rstudio.data-science.rc.ucl.ac.uk and log in with your UCL credentials.
Access from China
Users who are using the China Connect service can access both Jupyter and RStudio directly without logging in to the VPN.
We are unable to provide users with guidance on using RStudio or JupyterLab and suggest users consult the online documentation for these services in the first instance:
R Package requests
Users can install R packages in their home directories, but we recommend that if you are planning on teaching a course, you make sure the packages you want to use are pre-installed on the system. This saves time and reduces the load on the server.
The main version of R used by the RStudio server copies its packages from the Myriad high performance computing platform, so any package available there should be available in rstudio too. There's an automatically updated list here: R packages. Alternatively, check the list of available packages from within RStudio itself.
Requests to install packages can be sent to firstname.lastname@example.org. Please give as much notice as possible when requesting packages as these requests will be handled on a best efforts basis by the research computing applications support team.