In this talk I introduce {htmlwidgets} - the collection of packages you wish you knew. With these packages you can create interactive charts, graphs, tables and maps all in R without needing to learn any JavaScript.
On top of {htmlwidgets}, I will also demonstrate the fundamentals of using {shiny} to build server applications all with R - and show how to combine these with {htmlwidgets} to build impressive and beautiful tools.
I have a background in reproducible research methodologies, so I will talk about how you can use these tools to create an end-to-end reproducible Open Data workflow. The same workflow used by the University of Oxford’s Interactive Data Network that I helped launch.
Resources
- GitHub repository - slides and example code.
Citation
BibTeX citation:
@online{hadley2023,
author = {Hadley, Charlie},
title = {Interactive {Data} {Visualisation}},
date = {2023-05-16},
url = {https://warwickrug.github.io/posts/2023-05-16-interactive-data-visualisation},
langid = {en}
}
For attribution, please cite this work as:
Hadley, Charlie. 2023. “Interactive Data Visualisation.”
May 16, 2023. https://warwickrug.github.io/posts/2023-05-16-interactive-data-visualisation.