RShiny Applications
Published:
During my part-time one-year internship at the Q-Step Center (School of Social and Political Sciences) of Glasgow Univeristy (2017-2018), I designed and coded the following RShiny interactive applications that allow to display various data analyses or analytics depending on whether you’re using an academic or an industry term, as well as variety of visualisations from histograms, scatterplots to an interactive map of Glasgow. The purpose of these apps was to showcase data to the public in an accessible manner and both apps were used at various events at highschools in Glasgow promoting the Q Step programme that integrates qunatitative methods into social sciences.
Scottish Index of Multiple Deprivation (SIMD) available here -> ShinySIMD
British Election Study (BES) available here -> ShinyBES
Then, in 2022/2023 as a part-time research assistant School of Social and Political Sciences at Glasgow University (once more), I co-designed and coded the DEMED research group here. While I designed and coded the original prototype, the most recent version was developed in collaboration with Dr. Wooseok Kim. It can be found here.
- Democracy under Threat: How Education can Save it (DEMED) available -> ShinyDEMED
While at Durham University working as a research associate in computational social science (2023-2026), I have designed and coded an RShiny app to showcase our taxonomy of network generator papers and host such database. The app includes summary statistics, tables and visualisations (histograms, heatmaps and wordclouds).
- (Designing) Realistic Artificial Social Networks (RASN) available late Spring 2026 as our preparation for submission of the corresponding paper finalises.
Most recently, I’ve decided to revisit my original code for the SIMD app which happened to be my first repo on GitHub and to give it a proper update. That includes not only a more user-friendly UI with a modern CSS theme (using bslib) but also better variable descriptions, more visualisation options for one and two-variable comparisons. Additionally, I have included the SIMD2020 dataset which is the most recent release so people can compare. Lastly, while the previous version interactive map was limited to Glasgow, this one includes the whole of Scotland too. Note that due to the low population density of some areas it may appear sparse but when you zoom in you’ll see more defined areas.
