Porting a Shiny App to Observable Framework: Part 2
Published: January 30, 2025
This post, Part 2 in a series of two, looks at styling and deploying the Observable Framework app we built in part 1.
Author: Tim Brock
Published: January 30, 2025
This post, Part 2 in a series of two, looks at styling and deploying the Observable Framework app we built in part 1.
Author: Tim Brock
Published: January 16, 2025
This post, Part 1 in a series of two, looks at porting the functional code of a Shiny app - written in R - into JavaScript code to be used in an Observable Framework application.
Author: Colin Gillespie
Published: April 15, 2020
In our recent post about saving R graphics, it became obvious that achieving consistent graphics across platforms or even saving the “correct” graph on a particular OS was challenging. Getting consistent fonts across platforms often failed, and for the default PNG device under Windows, anti-aliasing was also an issue.
Author: Colin Gillespie
Published: April 14, 2020
R is known for it’s amazing graphics. Not only {ggplot2}, but also {plotly}, and the other dozens of packages at the graphics task view. There seems to be a graph for every scenario. However once you’ve created your figure, how do you export it? This post compares standard methods for exporting R plots as PNGs/PDFs across different OSs.